{"id":3280617,"url":"https://alion.io/job/astrazeneca-product-owner-omics-data-platforms","title":"Product Owner, Omics & Data Platforms","company":{"id":13195,"name":"AstraZeneca","domain":"astrazeneca.com","url":"https://alion.io/company/astra-zeneca","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":92,"open_postings":150,"ghost_share":0.007,"stale_share":0.433,"repost_share":0.093,"time_to_fill_p50_days":19,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":131000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Confluence","optional":true}],"status":"live","first_seen_at":"2026-10-26T16:20:37Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-30T15:32:29Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"This is an in-office role based in Barcelona, ES, with a requirement to work a minimum of three days per week on-site. Remote or travel flexibility is not available.\nRole Summary\nAstraZeneca's cancer and translational scientists rely on a chain of omics platforms to get from a sample to an insight: sample metadata management, omics processing, a molecular data warehouse, a cancer genomics portal, and single-cell and spatial analytics tools. We are seeking a Product Owner, Omics & Data Platforms, to own several of these platforms and to keep the chain working for the people who use it.\nYou will own the roadmap, vendor relationships and run quality for your platforms, starting with the cancer genomics portal and the single-cell and spatial analytics tools, and supporting the wider sample-to-insight chain. You will make sure the platforms follow FAIR data principles, are available to users around the world, and connect cleanly to the AI agents and tools that scientists increasingly use.\nYou will work with computational biologists, translational scientists, platform and data engineers, external vendors and open-source partners, procurement and finance. The ideal candidate combines a scientific understanding of omics data with sound product and vendor management, and is comfortable making decisions about what to keep, renew or replace.\nKey Responsibilities\nProduct Ownership and Roadmap\nOwn the roadmap and backlog for the cancer genomics portal and the single-cell and spatial analytics platforms, and prioritise work with engineering and vendor partners.\nSupport the owners of the other platforms in the sample-to-insight chain, and keep a clear view of how data moves between them.\nMaintain a current record of each platform's users, usage, cost and risks.\nVendor, License and Contract Management\nManage relationships with commercial vendors and open-source partners, and track delivery against agreed scope.\nPrepare the case for renewals and changes to licenses, including usage, cost per user and alternatives, working with procurement and finance.\nHelp assess successor options in good time, so that contract end dates do not force a decision.\nPlatform Operations and Users\nMake sure platforms meet agreed service levels, and work with engineering and support teams on incidents, releases and upgrades.\nRun access, onboarding and training for users in different regions, and collect feedback to guide the roadmap.\nPlan regional deployments or instances, for example for users in China or Japan.\nData Standards and Integration\nApply FAIR data principles and metadata standards across your platforms, working with data owners and platform engineering.\nDefine how platform data is exposed to AI agents and other tools through governed interfaces, with security and data owners.\nWork through ownership gaps between platforms, such as sample identifiers and shared metadata.\nCompliance, Privacy and Quality\nMake sure platforms follow data privacy, access approval and data residency requirements, including controls for human-derived data.\nComplete governance and AI reviews for platforms that add AI features.\nKeep documentation current for audit and review.\nFinancial Stewardship\nTrack infrastructure, license and contractor cost against plan and flag overruns early.\nContribute to planning cycles with a clear view of run cost and options.\nCross-Functional Collaboration\nWork closely with computational biologists, translational and oncology scientists, engineers, vendors, procurement and finance.\nCommunicate clearly about platform availability, limits and plans.\nDesired Profile\nExperience\n5 or more years of experience working with or managing omics data platforms or bioinformatics tools, ideally in a pharmaceutical or translational research setting.\nExperience as a product owner or product manager, or in a role with equivalent ownership of a scientific platform.\nUnderstanding of genomic, transcriptomic or single-cell and spatial data and how scientists use it.\nExperience managing vendor relationships, licences and renewals, including working with procurement.\nFluency with FAIR data principles and metadata standards.\nWorking knowledge of cloud-based data environments and how scientific platforms are run and supported.\nUnderstanding of data privacy and controlled handling of human-derived data.\nAbility to communicate with both scientists and engineers.\nDesirable\nExperience with open-source scientific software and its communities.\nFamiliarity with AI agents and how they connect to scientific data.\nExperience with oncology data.\nWorking knowledge of Atlassian tools (JIRA, Confluence).\nDate Posted\n26-oct-2026Closing Date\n08-nov-2026AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. 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