The Oncology Data Science – Data, Analytics, and AI Platforms (ODSP) team comprises multiple groups across the Cambridge UK, Boston MA, Gaithersburg MD, and Munich DE sites. ODSP develops technology, software, and data infrastructure to advance our Oncology data science. Our vision is to evolve data science into a driver of innovation within Oncology. We do this by creating a strategic culture that values our data as a true business asset, organizing our data so that it’s accessible and easy to find, integrated, and re-usable for Humans & AI, and building the best computational tools to support scientific decision making.
As a data product lead, you’ll lead and drive the development of multi-omics data products which will serve as data foundation across our portfolio and will be used to influence portfolio and investment decisions. Working hand in hand with our data product consumers (data scientists, ML experts) and data producers, you’ll help to shape data product strategy and priorities based on business value and user need. You’ll work closely together with software engineering teams to find novel ways to consume data through our tools and systems and you’ll be the go-to person when it comes to questions and trainings on your data product and its consumption. You will report to the Director, Data Products, Ops & Governance and may be based in Gaithersburg, MD or Waltham, MA.
Develop the strategy for and build multi-omics data products/ data atlases in a FAIR way which supports AZ cross-project delivery
Plan and drive data curation-, integration, -management and operation efforts (coordination between scientists, engineers); conduct data quality control and normalization where needed
Lead small cross-functional teams and ensure successful product delivery
Work together with data engineers to automate data operations as much as possible
Quantitatively observe and control product usage, to quickly understand gaps and issues
Coordinate and streamline data transfer, exchange and integration activities with our vendor network
Work with data product consumers (bioinformaticians, data scientists, scientists) to understand requirements, develop best practices in data wrangling/curation and storage of RWE data, and gather feedback
Develop documentation and training material
Identify opportunities for training/ education and drive/ support development of training and communication material
Master's degree in biology, bioinformatics, data science or related field; PhD preferred
At least 3 years Bioinformatics or related experience
3 years' experience in data science/management and or data centric project/alliance management and integration with data entity focus genomics, transcriptomics, proteomics
Understanding of the FAIR data principles and how to translate and implement requirements into a typical data flow
Great communication and organization skills as well as stakeholder mgmt. experience
Experienced working within cross-functional teams, including business data owners/stewards and technical product development staff
Desirable requirements
Experience with multimodal healthcare data
Experience with tools like JIRA, Confluence
The annual base pay for this position ranges from $121K to $182K. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.
Date Posted
27-May-2026Closing Date
11-Jun-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.