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 DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:

-        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 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.

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

In this role you will:

-        Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments

-        Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core

-        Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry-leading cloud-based products and solutions with GenAI and agentic capabilities. 

Key responsibilities include-

Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx’s overall product vision and objectives.

Customer Understanding: Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements.

Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals.

Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management.

GenAI Product and Capability Upgrade:

Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation.

Design and productize the human-agent interaction layer, moving beyond traditional UIs to create conversational and goal-driven interfaces that allow scientists to delegate multi-step tasks and interpret the outputs of autonomous GenAI systems.

Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine-tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems.

Model-In-The-Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human-guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption.

Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine-tuning foundational models, vector databases, and multi-agent system architectures.

Cross-Functional Collaboration: Collaborate with both tech and RD teams, including DevOps& Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans.

Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction.

Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience.

Why You?

Basic Qualifications
We are seeking professionals with the following required skills and qualifications to help us achieve our goals:

• PhD + 2 years, Masters + 4 years, or Bachelors + 6 years

• Bachelor’s degree in Bioinformatics, computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering or related discipline.

• 4+ 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 defining 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.

• Experience with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications.

Preferred Qualifications
If you have the following characteristics, it would be a plus

• Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi-step actions and reason about their environment.

• Hands-on software engineering or data science experience in a GenAI-focused team prior to transitioning into product management.

• Familiarity with the architecture of modern transformer-based models and the strategic product trade-offs between using proprietary models (e.g., GPT-4, Claude), open-source models (e.g., Llama, Mistral), and fine-tuning custom models.

• Experience building products that manage or interpret complex, unstructured biomedical data

• Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process.

• Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM-powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short-term, long-term memory), and ensuring model coherence over extended multi-turn interactions.

• Hands-on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc.

• Previous experience in life science industry or biopharma R&D is a plus.

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• If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $147,675 to $246,125. 

The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.





Please visit  GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

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