Senior Principal Data Science Product Leader, Clinical Biomarker Data Expert

4 weeks ago


Mississauga, Ontario, Canada F. Hoffmann-La Roche Gruppe Full time

Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people's varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

The Position

A 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.

The recent Generative AI (GenAI) Revolution has provided Roche with tremendous opportunities to expedite the realization of the Pharma 2030 Vision. Data Curation and Integration (DCI) Enabling Platform specializes in creating high-quality data assets known as Data Marts, and in pioneering capabilities that unlock invaluable secondary use of data for transformative insights.

The Data Curation and Integration Enabling Platform at Roche is seeking a dedicated technical expert with AI experience and in-depth biomarker data expertise relevant to human patient cohort analyses to drive the technical directions and ensure strong business impacts.

The activities in Data Curation and Integration Enabling Platform cover a wide range of data modalities, and collaborations with a variety of experts, all with the goal to develop innovative healthcare solutions for patients and society. With subject matter expertise and strategic vision, you will also apply your deep understanding in multimodal biomarker and clinical data assets in leading biomarker integration projects across disease areas.

Your Opportunity:

  • Lead, design, develop, implement and deliver the optimal high-quality data integration solutions needed for complex clinical trial and biomarker data exploration to support successful strategic decision making for clinical development pipeline and better understanding of disease and drug response.
  • Contribute to the design and implement GenAI applications, tools, and processes that enable value creating solutions to accelerate insight generation from secondary use of data.
  • As a thought leader and established subject matter expert, you will shape strategy for AI solutions to enable secondary use of data, to build consensus and align across leaders within Pharma Development teams.
  • Translate the business needs into technical requirements and user stories to ensure delivery of impactful and user-friendly AI solutions in secondary use of data.
  • Proactively maintain extensive knowledge of clinical data, biomarker data, analyze relevant operational data and quickly master the content, structure, meaning and intended downstream usage of any other data source as needed.
  • Build and maintain robust data pipelines for leading large volumes of clinical and biomarker data, ensuring efficient access and usability.
  • Drive to achieve results through demonstrating curiosity and ability to learn new things, showing initiative while welcoming problems as a challenge; deliver solutions to technical problems.
  • Function as a site lead for Data Curation and Integration, supporting and mentoring DCI colleagues.

Who you are:

  • Possess an M.S. or Ph.D. in a quantitative field (e.g., mathematics, statistics, computer science) or an advanced Life Sciences degree with significant computational biology experience, along with over 10+ years of relevant Data Science experience.
  • Deep understanding of clinical development processes and the digital landscape within the Pharma/biotech industry, including comprehensive experience with various clinical trial data types, such as patient characteristics (e.g. SDTM, ADaM), digital health and imaging data.
  • Deep understanding of the generation and manipulation of high dimensional data (e.g. whole genome genotype and gene expression), expert in the use of Python, R and Bioconductor packages.
  • Experience in end-to-end data and AI product lifecycle with the ability to build business cases, technical requirements, solution architecture, data engineering design, computing/storage resource management, model development and evaluation, productization, and maintenance.
  • Proficiency with GenAI, Foundation Models, classical ML/DL algorithms (e.g., PyTorch, TensorFlow), standard NLP techniques, and applying various data modalities like relational databases, images, and free-form text.
  • Excellent written and verbal communication skills, entrepreneurial approach, self-direction, and a demonstrated ability to teach others and open to learning new techniques, showcasing a blend of business and technical proficiency.

Relocation Benefits are not available for this job posting.

Who we are

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we've become one of the world's leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

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.

As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

Roche is an Equal Opportunity Employer.


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