Roche – 2025 Summer Intern – Computational Science Pathology Lab – DP Research (1 openings) – Mississauga, ON

Company: Roche

Location: Mississauga, ON

Expected salary:

Job date: Thu, 03 Apr 2025 22:05:24 GMT

Job description: At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.The PositionA healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.Welcome to the Pathology Lab Solutions department at Roche Diagnostic Solutions, where we blend cutting-edge research with product innovation in the digital pathology domain. As part of the Computational Science and Informatics division, we specialize in developing state-of-the-art whole slide image scanners and advanced AI algorithms. Our team excels in both pioneering frontier research and creating commercial solutions that enhance diagnostic accuracy and efficiency. Join us to collaborate with leading experts, engage in projects that have a global impact, and help redefine the future of pathology through technology. At Roche, your expertise and creativity will drive transformative change in healthcare.The Opportunity:At Roche, we believe out of the box to develop sophisticated analytics that benefit patients today and tomorrow. We are looking for a dedicated intern to join our team of imaging scientists and software engineers for an exciting and ambitious internship. In this position, you will lead the exploration of innovative computer vision techniques for pathology image analysis and devise novel deep learning algorithms with potential applications in the broader healthcare regime. You will be connected with other interns from various analytics teams across the organization and work on an innovative project in digital pathology by applying advanced analytics and machine learning approaches to the company’s real-world imaging data.Collaborate with the team and other stakeholders to evaluate state-of-the-art computer vision techniques and applications in pathology image analysis, particularly with deep-learning and machine-learning approachesDevise, implement and interpret deep learning algorithms to address selected research questions in digital pathologyProactively share findings and knowledge to support the development of the wider Roche communityHelp shape the direction of machine learning and artificial intelligence within Roche.Who You Are:Must be enrolled in a MSc/PhD program in Biomedical Engineering, Statistics, Mathematics, Data Science, Electrical Engineering, Computer Science or related field; PhD candidate preferred.Preferred:In-depth knowledge of machine learning and deep learning, with a focus on imaging data, especially biomedical imaging.Experience with omic data analysis and large language model (LLM) or multimodal analysis is advantageous.Proficiency in parallelization, HPC cluster computing, Python, deep learning frameworks, and reproducible research practices (like Git).Strong communication and collaboration skills, coupled with a passion for applying machine learning to healthcare.Preferred experience includes publications in top conferences/journals and contributions to open source projects.Additional Information:Duration (4 months), work term Full time (35 hours per week) and will begin in May of 2025.Location: Based in Mississauga, Ontario.Our team follows a hybrid work structure (minimum 3 days in the office).This position is not eligible for relocation support.#SummerInternship2025Who we areA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.Let’s build a healthier future, together.Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche’s truly innovative culture.Roche is an Equal Opportunity Employer.

Roche – 2025 IP2TIS Intern – Taxonomy, Knowledge Management, Information Science – Mississauga, ON

Company: Roche

Location: Mississauga, ON

Expected salary:

Job date: Tue, 01 Apr 2025 22:31:03 GMT

Job description: At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.The PositionA healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.Our ) offers a unique opportunity for passionate individuals to gain hands-on experience in the pharmaceutical industry while making a positive impact on the world.Are you ready to join a global network spanning 20+ countries, where bright minds collaborate to tackle real-world challenges in Innovation & Sustainability? Do you want to work on impactful projects, shape the future, and drive change from within?The Opportunity:You will be joining the Product Development Knowledge Management (PDKM) team within Digital Strategy and Enablement, which is dedicated to fostering a culture of continuous learning and knowledge sharing. Our team has implemented an extensive knowledge Management Ecosystem comprising innovative Products, robust Services, and dedicated Supporting Organizations. This ecosystem is designed to enhance our organization’s capabilities in collecting, organizing, and sharing knowledge across various groups and teams.One of our key products is the Roche Digital Workspace, a next-generation employee experience platform designed to simplify access to information, enhance collaboration, and support decision-making. With sophisticated search capabilities and dynamic content delivery, the Digital Workspace helps users easily find the knowledge they need when they need it.In this internship, you will support ongoing efforts to strengthen content management, taxonomy, and search optimization practices within the Digital Workspace. Your work will help ensure that content is well-structured, accurately categorized, and easily findable, laying the foundation for a more effective knowledge-sharing environment. You will also contribute to measuring the success of our initiatives by helping to collect user feedback and analyzing key performance indicators (KPIs) and search metrics.Taxonomy and Content Management Support: Assist with content audits, mapping, tagging, and categorization activities. Support taxonomy refinement efforts by analyzing content and suggesting improvement to categories and metadata. Help ensure content is properly indexed for improved searchability and user experience.User Feedback, Metrics and Search Analysis: Support the collection and organization of user feedback to inform continuous improvement. Assist in identifying, collecting, and reporting on metrics and KPIs related to content quality, search performance, and user engagement. Conduct basic search analysis to identify gaps or areas of improvement in the Digital Workspace search engine.Knowledge Management Support: Provide general research and analytical support on knowledge management topics, including content organization best practices. Contribute to exploratory work related to AI-powered knowledge management tools and search technologies. Support the team in reviewing data sources, assisting with preliminary analysis of search performance, or gathering insights to improve the user experience.Who You Are:You are currently enrolled in a Master’s studies at a university, in the field of Knowledge Management, Library and Information Sciences, Data Sciences, Computer Science and are interested in applying your knowledge in a modern working environment as part of an internship of at least 3 months and getting to know the pharmaceutical industry.You have an understanding of knowledge management, taxonomy management, and content management concepts and principles is required.Preferred:Good communication and collaboration skills with an ability to actively engage and manage stakeholders, cultivate positive relationships, and address needs and concerns within a multi-functional team environment.Foundational applied knowledge on how and where Artificial Intelligence (AI), Large Language Model (LLM), and Machine Learning (ML) principles can be applied is preferred.Some knowledge in ML/AI related packages to build LLM powered applications (Langchain, LlamaIndex etc) is preferred.A growth mindset and demonstrates an eagerness for continuous learning.Technical details:The start date for the internship is between 1st and 16th of July 2025Duration (3 to 4 months), work term (Full time)Location: Based in Mississauga, Ontario.Our team follows a hybrid work structure (minimum 3 days in the office).More information about the program you can find on go.roche.com/ip2tis_25.Relocation benefits are not available for this posting.Who we areA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.Let’s build a healthier future, together.Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche’s truly innovative culture.Roche is an Equal Opportunity Employer.

Roche – 2025 Summer Intern – Computational Science Pathology Lab – DP Research (1 openings) – Mississauga, ON

Company: Roche

Location: Mississauga, ON

Expected salary:

Job date: Fri, 28 Mar 2025 23:27:30 GMT

Job description: At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.The PositionA healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.Welcome to the Pathology Lab Solutions department at Roche Diagnostic Solutions, where we blend cutting-edge research with product innovation in the digital pathology domain. As part of the Computational Science and Informatics division, we specialize in developing state-of-the-art whole slide image scanners and advanced AI algorithms. Our team excels in both pioneering frontier research and creating commercial solutions that enhance diagnostic accuracy and efficiency. Join us to collaborate with leading experts, engage in projects that have a global impact, and help redefine the future of pathology through technology. At Roche, your expertise and creativity will drive transformative change in healthcare.The Opportunity:At Roche, we believe out of the box to develop sophisticated analytics that benefit patients today and tomorrow. We are looking for a dedicated intern to join our team of imaging scientists and software engineers for an exciting and ambitious internship. In this position, you will lead the exploration of innovative computer vision techniques for pathology image analysis and devise novel deep learning algorithms with potential applications in the broader healthcare regime. You will be connected with other interns from various analytics teams across the organization and work on an innovative project in digital pathology by applying advanced analytics and machine learning approaches to the company’s real-world imaging data.Collaborate with the team and other stakeholders to evaluate state-of-the-art computer vision techniques and applications in pathology image analysis, particularly with deep-learning and machine-learning approachesDevise, implement and interpret deep learning algorithms to address selected research questions in digital pathologyProactively share findings and knowledge to support the development of the wider Roche communityHelp shape the direction of machine learning and artificial intelligence within Roche.Who You Are:Must be enrolled in a MSc/PhD program in Biomedical Engineering, Statistics, Mathematics, Data Science, Electrical Engineering, Computer Science or related field; PhD candidate preferred.Preferred:In-depth knowledge of machine learning and deep learning, with a focus on imaging data, especially biomedical imaging.Experience with omic data analysis and large language model (LLM) or multimodal analysis is advantageous.Proficiency in parallelization, HPC cluster computing, Python, deep learning frameworks, and reproducible research practices (like Git).Strong communication and collaboration skills, coupled with a passion for applying machine learning to healthcare.Preferred experience includes publications in top conferences/journals and contributions to open source projects.Additional Information:Duration (4 months), work term Full time (35 hours per week) and will begin in May of 2025.Location: Based in Mississauga, Ontario.Our team follows a hybrid work structure (minimum 3 days in the office).This position is not eligible for relocation support.#SummerInternship2025Who we areA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.Let’s build a healthier future, together.Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche’s truly innovative culture.Roche is an Equal Opportunity Employer.

University of Toronto – Arts & Science Internship Program Co-op Coordinator (term) – Toronto, ON

Company: University of Toronto

Location: Toronto, ON

Expected salary: $79874 per year

Job date: Fri, 28 Mar 2025 23:22:24 GMT

Job description: Date Posted: 03/27/2025
Req ID: 42299
Faculty/Division: Faculty of Arts & Science
Department: Experiential Learning & Outreach Support
Campus: St. George (Downtown Toronto)
Position Number: 00049722Description:About us:The Faculty of Arts & Science is the heart of Canada’s leading university and one of the most comprehensive and diverse academic divisions in the world. The strength of Arts & Science derives from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs.We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and global landscape and the need for curiosity, innovative thinking and collaboration. At Arts & Science, we take pride in our legacy of innovation and discovery that has changed the way we think about the world.Your opportunity:The Experiential Learning and Outreach Support office in the Faculty of Arts & Science has a mandate to grow quality experiential learning opportunities for Arts & Science students, including work-integrated learning, career-engaged learning, community-engaged learning, research, and international opportunities.The Faculty of Arts & Science’s 2020-2025 Academic Plan calls for an ambitious plan to expand experiential learning opportunities available to undergraduate students across all Arts & Science disciplines. The Faculty is committed to preparing students for lifelong success in the labour market, deepening relationships with local partners in the public, private and non-profit sectors and increasing opportunities for international student mobility. As part of our expansion of experiential learning, we launched the Arts & Science Internship Program (ASIP) in Fall 2021. The program provides specialized professional development training and paid work-integrated learning opportunities for Arts & Science students across 61 different academic programs, with plans for annual growth. Participation in the ASIP stream allows students to explore career options, apply their academic learning in a professional context, gain valuable work experience, and build a professional network. We are committed to equity, diversity and inclusion and to designing programming that allows all students to meet their academic and career goals.Reporting to the Associate Director, Employer Relations & Operations, the ASIP Co-op Coordinator is an integral part of the Employer Relations team and serves as a bridge between employers and students. The ASIP Coordinator:

  • Works closely with students in their assigned program(s) and/or industries/sectors to identify potential employers and connect students to meaningful employment opportunities.
  • Cultivates new employers (locally, nationally, and internationally) and maintains strong relationships with existing employers, working to ensure each employer’s holistic recruiting needs are met.
  • Together with the Student Services team, coaches and provides guidance to students through the recruitment cycle and while on a work term, ensuring employment targets are met or exceeded with a high level of employer and student satisfaction.
  • In partnership with the Employer Relations team, ensures a seamless recruiting and hiring experience for employer partners.
  • Is an energetic, creative, outside-of-the-box thinker who develops innovative ways for employers from diverse industries/sectors to engage with U of T’s Arts & Science students.
  • This ASIP Coordinator position will be responsible for supporting the Computer Science, Mathematics and Statistical Sciences portfolio.

NOTE: this is a 6-month term position.Your responsibilities will include:

  • Implementing plans that support the development of work-integrated learning opportunities for students
  • Identifying, fostering and maintaining relationships with potential and existing employers
  • Promoting programming, student needs and interests to employers and industry contacts
  • Researching and analyzing potential employers and recommending student placement opportunities
  • Conducting detailed labour market analysis to inform program and partnership development
  • Promoting programs at recruitment events
  • Advising and coaching students on the selection of appropriate work-integrated learning opportunities
  • Advising students on work related recruitment processes and practices

Essential Qualifications:

  • Bachelor’s Degree in Computer Science, Mathematics, Statistical Sciences, Business Administration, Human Resources, Education, or a related field, or acceptable combination of equivalent experience.
  • Minimum five (5) years of experience in employer development, relationship management, sales, marketing, and/or business development
  • Experience in targets-driven environments, with proven success
  • In depth knowledge of the postsecondary sector, the entry-level labour market, and employment trends
  • Experience with students in computer, mathematical, or physical science programs
  • Experience working with Customer Relationship Management tools (e.g. Salesforce) to track individual performance and outcomes
  • Experience working with Experiential Learning Management Software (e.g. ORBIS, Symplicity)
  • Knowledge of cooperative education and work-integrated learning programming, career advising, employment standards and workplace rights
  • Experience providing direct support to students, new graduates, or individuals in the areas of career, skill development, and/or career transition
  • Ability to work with a diverse client group across multiple sectors
  • Highly driven to meet targets, proactive, persuasive, and diplomatic
  • Demonstrated commitment to equity, diversity and inclusion
  • Excellent marketing and account management, sales, and public relations skills
  • Ability to show sound judgement in dealing with confidential information
  • Highly developed sense of accountability, tact, diplomacy, and professionalism
  • Excellent communication skills and strong relationship building, interpersonal and negotiation skills
  • Strong presentation and facilitation skills
  • Demonstrated ability to manage multiple projects or priorities simultaneously with strong organizational skills
  • Demonstrated proficiency with Microsoft Office 365 programs and strong IT fluency
  • Valid driver’s license and willingness to travel
  • Ability to work in and comfort within a fast-paced student services environment juggling many activities simultaneously

Assets (Nonessential):

  • International work experience is an asset

To be successful in this role you will be:

  • Accountable
  • Articulate
  • Diplomatic
  • Organized
  • Resourceful
  • Responsible
  • Self-directed
  • Team player

This role is currently eligible for a hybrid work arrangement, pursuant to the University policies and guidelines, including but not limited to the .Closing Date: 04/08/2025, 11:59PM ET
Employee Group: USW
Appointment Type: Budget – Term – 6-month term
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 12 — $79,874. with an annual step progression to a maximum of $102,147. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Student ServicesLived Experience Statement
Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.

University of Toronto – Arts & Science Internship Program Co-op Coordinator (term) – Toronto, ON

Company: University of Toronto

Location: Toronto, ON

Expected salary: $79874 per year

Job date: Sat, 29 Mar 2025 01:49:15 GMT

Job description: Date Posted: 03/27/2025
Req ID: 42299
Faculty/Division: Faculty of Arts & Science
Department: Experiential Learning & Outreach Support
Campus: St. George (Downtown Toronto)
Position Number: 00049722Description:About us:The Faculty of Arts & Science is the heart of Canada’s leading university and one of the most comprehensive and diverse academic divisions in the world. The strength of Arts & Science derives from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs.We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and global landscape and the need for curiosity, innovative thinking and collaboration. At Arts & Science, we take pride in our legacy of innovation and discovery that has changed the way we think about the world.Your opportunity:The Experiential Learning and Outreach Support office in the Faculty of Arts & Science has a mandate to grow quality experiential learning opportunities for Arts & Science students, including work-integrated learning, career-engaged learning, community-engaged learning, research, and international opportunities.The Faculty of Arts & Science’s 2020-2025 Academic Plan calls for an ambitious plan to expand experiential learning opportunities available to undergraduate students across all Arts & Science disciplines. The Faculty is committed to preparing students for lifelong success in the labour market, deepening relationships with local partners in the public, private and non-profit sectors and increasing opportunities for international student mobility. As part of our expansion of experiential learning, we launched the Arts & Science Internship Program (ASIP) in Fall 2021. The program provides specialized professional development training and paid work-integrated learning opportunities for Arts & Science students across 61 different academic programs, with plans for annual growth. Participation in the ASIP stream allows students to explore career options, apply their academic learning in a professional context, gain valuable work experience, and build a professional network. We are committed to equity, diversity and inclusion and to designing programming that allows all students to meet their academic and career goals.Reporting to the Associate Director, Employer Relations & Operations, the ASIP Co-op Coordinator is an integral part of the Employer Relations team and serves as a bridge between employers and students. The ASIP Coordinator:

  • Works closely with students in their assigned program(s) and/or industries/sectors to identify potential employers and connect students to meaningful employment opportunities.
  • Cultivates new employers (locally, nationally, and internationally) and maintains strong relationships with existing employers, working to ensure each employer’s holistic recruiting needs are met.
  • Together with the Student Services team, coaches and provides guidance to students through the recruitment cycle and while on a work term, ensuring employment targets are met or exceeded with a high level of employer and student satisfaction.
  • In partnership with the Employer Relations team, ensures a seamless recruiting and hiring experience for employer partners.
  • Is an energetic, creative, outside-of-the-box thinker who develops innovative ways for employers from diverse industries/sectors to engage with U of T’s Arts & Science students.
  • This ASIP Coordinator position will be responsible for supporting the Computer Science, Mathematics and Statistical Sciences portfolio.

NOTE: this is a 6-month term position.Your responsibilities will include:

  • Implementing plans that support the development of work-integrated learning opportunities for students
  • Identifying, fostering and maintaining relationships with potential and existing employers
  • Promoting programming, student needs and interests to employers and industry contacts
  • Researching and analyzing potential employers and recommending student placement opportunities
  • Conducting detailed labour market analysis to inform program and partnership development
  • Promoting programs at recruitment events
  • Advising and coaching students on the selection of appropriate work-integrated learning opportunities
  • Advising students on work related recruitment processes and practices

Essential Qualifications:

  • Bachelor’s Degree in Computer Science, Mathematics, Statistical Sciences, Business Administration, Human Resources, Education, or a related field, or acceptable combination of equivalent experience.
  • Minimum five (5) years of experience in employer development, relationship management, sales, marketing, and/or business development
  • Experience in targets-driven environments, with proven success
  • In depth knowledge of the postsecondary sector, the entry-level labour market, and employment trends
  • Experience with students in computer, mathematical, or physical science programs
  • Experience working with Customer Relationship Management tools (e.g. Salesforce) to track individual performance and outcomes
  • Experience working with Experiential Learning Management Software (e.g. ORBIS, Symplicity)
  • Knowledge of cooperative education and work-integrated learning programming, career advising, employment standards and workplace rights
  • Experience providing direct support to students, new graduates, or individuals in the areas of career, skill development, and/or career transition
  • Ability to work with a diverse client group across multiple sectors
  • Highly driven to meet targets, proactive, persuasive, and diplomatic
  • Demonstrated commitment to equity, diversity and inclusion
  • Excellent marketing and account management, sales, and public relations skills
  • Ability to show sound judgement in dealing with confidential information
  • Highly developed sense of accountability, tact, diplomacy, and professionalism
  • Excellent communication skills and strong relationship building, interpersonal and negotiation skills
  • Strong presentation and facilitation skills
  • Demonstrated ability to manage multiple projects or priorities simultaneously with strong organizational skills
  • Demonstrated proficiency with Microsoft Office 365 programs and strong IT fluency
  • Valid driver’s license and willingness to travel
  • Ability to work in and comfort within a fast-paced student services environment juggling many activities simultaneously

Assets (Nonessential):

  • International work experience is an asset

To be successful in this role you will be:

  • Accountable
  • Articulate
  • Diplomatic
  • Organized
  • Resourceful
  • Responsible
  • Self-directed
  • Team player

This role is currently eligible for a hybrid work arrangement, pursuant to the University policies and guidelines, including but not limited to the .Closing Date: 04/08/2025, 11:59PM ET
Employee Group: USW
Appointment Type: Budget – Term – 6-month term
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 12 — $79,874. with an annual step progression to a maximum of $102,147. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Student ServicesLived Experience Statement
Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.Diversity StatementThe University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see .Accessibility StatementThe University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.If you require any accommodations at any point during the application and hiring process, please contact .

Data & AI Engineer – Data Science Engineer – Capgemini – Toronto, ON

Company: Capgemini

Location: Toronto, ON

Expected salary:

Job date: Thu, 27 Mar 2025 02:30:22 GMT

Job description: About the job you’re consideringAs a Data Science Engineer, you will build distributed data processing solution and highly loaded database solutions for various reasons including reporting, product analytics, marketing optimization and financial reporting. Supply as part of self-organized team of experienced data engineers working in an exciting, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.Your role

  • Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all collaborators.
  • Ensures that assigned area/areas are delivered within set deadlines and required quality objectives!
  • Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area!
  • Analyzes scope of alternative solutions and makes decision about area implementation based on their experience and technical expertise.
  • Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
  • Addresses area-level risks, provides and implements mitigation plan.
  • Reports about area readiness/quality, and raises red flags in crisis situations which are beyond their AOR.
  • Responsible for resolving crisis situations within their AOR.
  • Initiates and conducts code reviews, creates code standards, conventions and guidelines.
  • Suggests technical and functional improvements to contribute to the product;
  • Constantly improves their professional level.
  • Collaborates with other teams.

Your skills and experience

  • We are looking candidates with degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
  • We are looking candidates with 2+ years of experience in data analytics, consulting, or related role
  • Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
  • Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
  • Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau).
  • Experience in Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
  • The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.
  • Outstanding analytical and problem-solving skills.
  • Always eager to learn and improve.
  • Strong interpersonal and writing skills.

Nice to have:

  • Experience building large scale, real-time applications
  • Contributor to open-source projects.

Life at CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being program.
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief

About Capgemini EngineeringWorld leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 65,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.Capgemini Engineering is an integral part of the Capgemini Group, a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.Get the future you wantDisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Click the following link for more information on your rights as an ApplicantApplicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

The job being considered is that of a Data Science Engineer, responsible for building distributed data processing solutions and highly loaded database solutions for reporting, analytics, optimization, and financial reporting purposes. The role involves working in a self-organized team of experienced data engineers, investigating, creating, and implementing solutions for technical challenges, providing guidance to a development team, and contributing to project goals. The ideal candidate should have a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain, along with 2+ years of experience in data analytics. Proficiency in SQL, ETL, A/B Testing, statistical analysis, and analytics tools is required, as well as strong analytical, problem-solving, and interpersonal skills. Experience with real-time applications and open-source projects is a plus. Capgemini offers a supportive work environment with various benefits for employees.

Data & AI Engineer – Data Science Engineer – Capgemini – Toronto, ON

Company: Capgemini

Location: Toronto, ON

Expected salary:

Job date: Wed, 26 Mar 2025 06:18:23 GMT

Job description: Job Location: CanadaAbout the job you’re considering
As a Data Science Engineer, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. Contribute as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.Your role

  • Receives tasks from the project lead functional and design specifications, gets approval from all collaborators.
  • Makes decision about area implementation based on their experience and technical expertise.
  • Leads functional design to ensure design decisions on the project meet architectural and design requirements.
  • Addresses area-level risks, provides and implements mitigation plan.
  • Initiates and conducts code reviews, creates code standards, conventions and guidelines.

Your skills and experience

  • Degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain.
  • 2+ years of experience in data analytics, consulting, or related role.
  • Experience with funnel optimization, user segmentation, cohort analyses, time series analyses.
  • Expertise in SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions)
  • Experience in statistical packages, such as Matlab, R, SAS or Python.
  • Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau).
  • Experience in Build full-cycle analytics experiments using SQL, R, Python or other scripting tools.
  • The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.

Nice to have:

  • Experience building large scale, real-time applications
  • Contributor to open-source projects.

Life at Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief

About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
Get the future you want | www.capgemini.com
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

A Data Science Engineer position in Canada requires building distributed data processing solutions and highly loaded database solutions for various business cases. Responsibilities include receiving tasks, making decisions about implementation, leading functional design, addressing risks, conducting code reviews, and creating code standards. Required skills include a degree in a relevant domain, 2+ years of experience in data analytics, expertise in SQL queries, ETL, statistical analysis, and proficiency in analytics tools. Additional skills such as experience with large-scale, real-time applications and contributor to open-source projects are a plus. Capgemini offers various benefits for employees, and the company is committed to diversity and equal opportunity in the workplace. Applicants in the US must have valid work authorization that does not require sponsorship for employment authorization.

Johnson & Johnson – Medical Science Liaison, GU Oncology, Ontario – Toronto, ON

Company: Johnson & Johnson

Location: Toronto, ON

Expected salary:

Job date: Sat, 22 Mar 2025 08:49:24 GMT

Job description: At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.comJob Function: Medical Affairs GroupJob Sub Function: Medical Science LiaisonJob Category: Scientific/TechnologyAll Job Posting Locations: Guelph, Ontario, Canada, Markham, Ontario, Canada, Oakville, Ontario, Canada, Ottawa, Ontario, Canada, Toronto, Ontario, CanadaJob Description:We are searching for the best talent for our Medical Science Liaison, GU Oncology role to cover the Ontario territory! This is a field-based role available in all cities within Ontario, Canada. While specific cities are listed in the Locations section for reference, please note that they are examples only and do not limit your application. We invite candidates from any location to apply.About OncologyOur expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.Our Oncology team is focused on the elimination of cancer by discovering new pathways and modalities to finding treatments and cures. We lead where medicine is going and need innovators with an unwavering commitment to results.Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.Learn more atPurpose:The Medical Science Liaison (MSL) holds primary responsibility for the execution of the Medical Affairs Plan. They are the point of contact for key opinion leaders (KOLs) in each territory and strive to meet their medical, scientific and research needs, within specific guidelines.You will be responsible for:

  • Maintain up-to-date scientific expertise in GU Oncology including prostate and bladder cancer through self-learning, attendance at scientific and medical conferences, training sessions, and preceptorships (virtual and/or in-person attendance), to translate data into an applicable and relevant knowledge and communication platform.
  • Build trusted, positive relationships with KOLs, some highly academic, and Health Care Professionals (HCPs), based on scientific credibility and clear engagement plans.
  • Collect and communicate relevant insights from KOLs to support and progress TA strategy.
  • Assist in the interpretation of clinical trial outcomes, post-hoc analyses, and real-world data.
  • Review, disseminate and present relevant clinical and scientific data in a fair-balanced, unbiased manner, to KOLs and other HCPs, in group and one-on-one settings.
  • Support development of scientific communication materials (slide presentations) for reactive dissemination to HCPs
  • Actively participate in the preparation and conduct of medical and scientific forums organized by Janssen (e.g. Advisory Boards, Steering Committees, etc.).
  • Provide expert-level clinical consultation and support to business partners (e.g. internal training, Medical Education events, etc.)
  • Provide regional medical perspective to inform and influence business and evidence generation planning
  • Keep abreast of scientific literature/clinical data, relating to their therapeutic area and translate data into applicable knowledge and communication platform
  • Support Real World Evidence (RWE), phase III/IV local and global clinical development program. Contribute to site identification, patient enrollment, and follow-up visits. Assist in the interpretation of results, post-hoc analyses, and research collaboration with investigators as needed
  • Support investigator-initiated studies by fielding and assessing research requests, aligning investigator interests with J&J’s research needs, and engaging investigators to ensure the successful execution and satisfactory completion of studies as needed
  • Assist in responding to HCP compassionate drug requests for their patients.

Qualifications/Requirements

  • Pharm D, PhD or MD is required.
  • Strong clinical and/or scientific background is required.
  • Ability to acquire expertise in other therapeutic areas and products, depending on pipeline and/or changing business priorities is required.
  • Excellent collaborator interested in sharing knowledge and mentoring/educating colleagues and peers is required.
  • Critical thinking and positive track record of excellent execution is required.
  • Proven ability to learn quickly, assimilate and distill large amounts of information is required.
  • Strong interpersonal and communication skills to build and maintain relationships is required.
  • Proficiency in effectively communicating information to KOLs, allied HCPs and non-experts is required.
  • Strong project management skills is required.
  • Ability to impact decision-making with relevant partners based on sound scientific knowledge is required.
  • Business acumen, including prioritization skills and big picture orientation is required.
  • Scientific knowledge, curiosity, familiarity and interest to stay on top of emerging data and scientific trends within the therapeutic area is required.
  • Demonstrated ability to take initiative, be able to handle concurrent priorities, and follow through in a field-based role is required.
  • Solid understanding of Microsoft Office and other relevant software programs is required.
  • Ability to travel ~50% of the time, to cover the assigned territory within Canada and, limited, internationally, is required as this is a customer facing position is required.
  • A valid driver’s license issued in Canada is required.
  • Experience as an MSL is preferred.
  • Prior experience in Oncology is preferred.

Diversity and inclusion are central elements of the shared culture across the Johnson & Johnson Family of Companies. Attracting, developing and retaining a workforce that reflects the diversity of our customers and communities is essential to our success. We are committed to providing a respectful, inclusive and accessible work environment where all employees have the opportunity to achieve their potential.#LI-Remote

Johnson & Johnson – Medical Science Liaison, GU Oncology, Ontario – Toronto, ON

Company: Johnson & Johnson

Location: Toronto, ON

Expected salary:

Job date: Sat, 22 Mar 2025 23:38:54 GMT

Job description: At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.comJob Function:
Medical Affairs GroupJob Sub Function:
Medical Science LiaisonJob Category:
Scientific/TechnologyAll Job Posting Locations:
Guelph, Ontario, Canada, Markham, Ontario, Canada, Oakville, Ontario, Canada, Ottawa, Ontario, Canada, Toronto, Ontario, CanadaJob Description:We are searching for the best talent for our Medical Science Liaison, GU Oncology role to cover the Ontario territory! This is a field-based role available in all cities within Ontario, Canada. While specific cities are listed in the Locations section for reference, please note that they are examples only and do not limit your application. We invite candidates from any location to apply.About OncologyOur expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.Our Oncology team is focused on the elimination of cancer by discovering new pathways and modalities to finding treatments and cures. We lead where medicine is going and need innovators with an unwavering commitment to results.Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.Learn more at https://www.jnj.com/innovative-medicinePurpose:The Medical Science Liaison (MSL) holds primary responsibility for the execution of the Medical Affairs Plan. They are the point of contact for key opinion leaders (KOLs) in each territory and strive to meet their medical, scientific and research needs, within specific guidelines.You will be responsible for:

  • Maintain up-to-date scientific expertise in GU Oncology including prostate and bladder cancer through self-learning, attendance at scientific and medical conferences, training sessions, and preceptorships (virtual and/or in-person attendance), to translate data into an applicable and relevant knowledge and communication platform.
  • Build trusted, positive relationships with KOLs, some highly academic, and Health Care Professionals (HCPs), based on scientific credibility and clear engagement plans.
  • Collect and communicate relevant insights from KOLs to support and progress TA strategy.
  • Assist in the interpretation of clinical trial outcomes, post-hoc analyses, and real-world data.
  • Review, disseminate and present relevant clinical and scientific data in a fair-balanced, unbiased manner, to KOLs and other HCPs, in group and one-on-one settings.
  • Support development of scientific communication materials (slide presentations) for reactive dissemination to HCPs
  • Actively participate in the preparation and conduct of medical and scientific forums organized by Janssen (e.g. Advisory Boards, Steering Committees, etc.).
  • Provide expert-level clinical consultation and support to business partners (e.g. internal training, Medical Education events, etc.)
  • Provide regional medical perspective to inform and influence business and evidence generation planning
  • Keep abreast of scientific literature/clinical data, relating to their therapeutic area and translate data into applicable knowledge and communication platform
  • Support Real World Evidence (RWE), phase III/IV local and global clinical development program. Contribute to site identification, patient enrollment, and follow-up visits. Assist in the interpretation of results, post-hoc analyses, and research collaboration with investigators as needed
  • Support investigator-initiated studies by fielding and assessing research requests, aligning investigator interests with J&J’s research needs, and engaging investigators to ensure the successful execution and satisfactory completion of studies as needed
  • Assist in responding to HCP compassionate drug requests for their patients.

Qualifications/Requirements

  • Pharm D, PhD or MD is required.
  • Strong clinical and/or scientific background is required.
  • Ability to acquire expertise in other therapeutic areas and products, depending on pipeline and/or changing business priorities is required.
  • Excellent collaborator interested in sharing knowledge and mentoring/educating colleagues and peers is required.
  • Critical thinking and positive track record of excellent execution is required.
  • Proven ability to learn quickly, assimilate and distill large amounts of information is required.
  • Strong interpersonal and communication skills to build and maintain relationships is required.
  • Proficiency in effectively communicating information to KOLs, allied HCPs and non-experts is required.
  • Strong project management skills is required.
  • Ability to impact decision-making with relevant partners based on sound scientific knowledge is required.
  • Business acumen, including prioritization skills and big picture orientation is required.
  • Scientific knowledge, curiosity, familiarity and interest to stay on top of emerging data and scientific trends within the therapeutic area is required.
  • Demonstrated ability to take initiative, be able to handle concurrent priorities, and follow through in a field-based role is required.
  • Solid understanding of Microsoft Office and other relevant software programs is required.
  • Ability to travel ~50% of the time, to cover the assigned territory within Canada and, limited, internationally, is required as this is a customer facing position is required.
  • A valid driver’s license issued in Canada is required.
  • Experience as an MSL is preferred.
  • Prior experience in Oncology is preferred.

Diversity and inclusion are central elements of the shared culture across the Johnson & Johnson Family of Companies. Attracting, developing and retaining a workforce that reflects the diversity of our customers and communities is essential to our success. We are committed to providing a respectful, inclusive and accessible work environment where all employees have the opportunity to achieve their potential.#LI-Remote