The Onyx Research Data Tech organization at GSK is investing in a next-generation data experience to increase productivity, accelerate predictive capabilities, and unlock the value of combined data assets and predictions in real-time to find new medicines.
Requirements
- 2+ years of experience in product management with a proven track record of shipping 0-to-1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large-scale enterprise setting.
- Experience in executing product strategy for modern applications, including hands-on experience with technologies core to AI systems such as vector databases, MLOps, retrieval-augmented generation, and model fine-tuning.
- Technical knowledge with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications.
- Experience contributing to products that involve AI agents, their tool utilization (APIs, function calling), or the development of conversational AI interfaces.
- Familiarity with the architecture of modern transformer-based models and an understanding of the strategic trade-offs when selecting between proprietary, open-source, or fine-tuned custom models.
- Foundational knowledge of bioinformatics, computational biology, or cheminformatics, and an interest in how agentic AI can impact drug discovery.
- Familiarity with Model Context Protocols (MCP) for LLM-powered agents, including basic concepts of prompt engineering, context window management, and maintaining model coherence in multi-turn interactions.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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 assisting with data gathering, testing of fine-tuned models, and developing documentation for APIs/agents.
Other
- PhD + 2 years, Masters + 2 years, or Bachelors + 4 years
- 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, benefitting 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.
- Hands-on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc.
