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Product Manager II

Job in Cambridge, Dane County, Wisconsin, 53523, USA
Listing for: GSK
Full Time position
Listed on 2026-01-15
Job specializations:
  • IT/Tech
    AI Engineer, Product Engineer
Job Description & How to Apply Below
Location: Cambridge

Onyx Research Data Tech Organization

The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge and prediction to find new medicines. We are a full‑stack shop consisting of product and portfolio leadership, data engineering, infrastructure and Dev Ops, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward:

Our Mission
  • Building a next‑generation data experience for GSK’s scientists, engineers and decision‑makers, increasing productivity and reducing time spent on “data mechanics”
  • Providing best‑in‑class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top‑tier talent
  • Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real‑time
Onyx Product Management

Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end‑user‑facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer‑facing aspects of Onyx, including data assets, ontology, Knowledge Graph/semantic search, data/computing/analysis platforms and data‑powered applications.

Product

Manager II

We are seeking an experienced Product Manager II who will be accountable for designing and delivering the roadmap for target and patient discovery products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise‑level strategy towards target and patient discovery solutions and will ensure our scientists have access to best‑in‑class technology products to improve research productivity and ultimately deliver new medicines for our patients.

In

this role you will:
  • Contribute to Product Development & Adoption: Actively contribute to the full product lifecycle, from development to launch and adoption, focusing on specific features and components within novel target and patient discovery solutions that enable identification and validation of drug targets and patient populations, benefit ting the scientific community at GSK.
  • Support GenAI Strategy: Support the strategic integration and enhancement of GenAI capabilities within target and patient discovery tools, helping to define and implement next‑generation AI‑powered functionalities.
  • Deliver Collaboratively: Partner closely with Onyx tech teams, R&D scientists, and leaders to facilitate the delivery of impactful cloud‑based products and solutions that leverage Generative AI and agentic capabilities.
Key Responsibilities
  • Product Strategy & Roadmap Contribution: Contribute to the definition and execution of specific features and components within the target and patient discovery solutions roadmap, ensuring alignment with the overall product strategy.
  • User Research & Feedback Analysis: Collaborate with subject matter experts, conduct user interviews, gather feedback, and analyze user data to inform the definition of product enhancements and identify opportunities for iterative improvements in target and patient discovery tools.
  • Product Feature Definition: Work closely with Senior Product Managers and engineering teams to translate user needs into clear, well‑defined product requirements, user stories, and acceptance criteria for discrete features.
  • Agile Development Engagement: Actively participate in agile ceremonies (e.g., sprint planning, backlog refinement, stand‑ups) with engineering teams, ensuring product requirements are understood and supporting effective backlog management.
  • GenAI Feature Implementation Support:
    • Contribute to the development and implementation of specific features within AI Agents that leverage LLMs and Generative AI to automate well‑defined parts of scientific research tasks.
    • Assist in the design and testing of human‑agent interaction components, focusing on specific conversational flows or user interface elements to enhance usability.
    • Support the product lifecycle for individual models or agents by…
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