at Roche
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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.
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That’s what makes us Roche.
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 specialize 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 talented technical expert with in-depth AI experience and biomarker data expertise to drive the technical directions and to 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 be a technical leader in implementing highly impactful AI solutions in particular Large Language Models (LLM) to our business processes, accelerating learning and insight generation from multimodal data assets for Research and Development. You will also apply your deep understanding in multimodal biomarker and clinical data assets in leading biomarker integration projects across disease areas.
The team is excited to bring a highly motivated technical professional with in-depth AI experience and biomarker data expertise to our Mississauga or Welwyn site.
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.
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.
Define the product concept, design the development strategy by evaluation both internal development feasibility and external acquisition opportunity
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
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 experience, along with over 7 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, digital health, omics, and imaging data, primarily using R and other analytical software.
Experienced in end-to-end data and AI product lifecycle. Ability to build business cases, technical requirements, solution architecture, data engineering design, computing/storage resource management, model development and evaluation, productization, and maintenance..
Expertise in end-to-end data and AI product lifecycle management, including 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 constantly learn new techniques, showcasing a blend of business and technical proficiency.
Relocation Benefits are not available for this job posting.
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.
