# Director, Predictive and Agentic Target Biology at GSK

GSK is hiring a Director, Predictive and Agentic Target Biology for a remote role open to applicants in United States. Level rates it Builds AI ●●●●; you can [apply on GSK](https://jobsbylevel.com/go/dcb8361a-255c-4c20-882c-cc2f29e307ad?utm_medium=ai-agent).

AI Level 4, AI centrality 92 out of 100. Remote (USA - Pennsylvania - Upper Providence).

## Details

- Company: [GSK](https://jobsbylevel.com/companies/gsk)
- AI level: AI Level 4 (score 92 out of 100)
- Location: Remote (USA - Pennsylvania - Upper Providence)
- Posted: November 13, 2026
- Apply: https://jobsbylevel.com/go/dcb8361a-255c-4c20-882c-cc2f29e307ad?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=director-predictive-and-agentic-target-biology-at-gsk-d3d019

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/director-predictive-and-agentic-target-biology-at-gsk-d3d019

## Description

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together. For candidates seeking to be located at our Stevenage site, this role will temporarily be based at Stevenage. However, the Company plans to relocate its offices to Cambridge, UK. The location of this role will therefore subsequently change to Cambridge UK, in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029 . The Data, Automation, and Predictive Sciences (DAPS) function of GSK Research Technologies focuses on large-scale data generation, curation, analysis, and prediction to increase the Probability of Technical and Regulatory Success (PTRS) of assets and unlock upper-quartile ambitions. As a Director-level individual contributor in Discovery Data Sciences (DDS), you will be a predictive engine for target discovery, bringing cutting-edge machine learning and agentic AI to the breadth of discovery data so that DDS can move beyond analysis toward prediction. This is a fully hands-on technical role: you will personally design, build and ship the agentic workflows. You will help build the scientific intelligence that surfaces, evaluates, and prioritises drug targets with confidence, anchoring the team’s long-term Target Discovery Engine ambition. You will work closely with domain specialists and engineering teams to research, embed, and operationalise predictive and agentic methods across the breadth of discovery data, from omics and functional genomics to chemogenomic and quantitative pharmaceutical-science data. This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following: Take pre-trained biological foundation models and adapt them to target biology questions with scientific rigour, fine-tuning, probing, and applying models (e.g. transcriptomic, high-content imaging) to questions such as target-disease mechanism. Apply and evaluate virtual-cell and in-silico perturbation approaches to predict cellular response and support mechanistic, in-silico target discovery. Integrate heterogeneous target evidence (omics, functional genomics, causal biology, chemogenomics, literature, clinical) into structured, traceable representations, applying knowledge-graph and graph-learning methods that let both scientists and agents reason over the evidence. Design and build agentic scientific workflows that plan, retrieve, analyse, and synthesise across the target discovery process, using current orchestration patterns (multi-agent systems, RAG, MCP-based tool access) with grounding, provenance, and rigorous evaluation of agent reliability. Evaluate emerging AI/ML approaches for discovery data science, benchmark their performance with appropriate validation strategies, and implement them into reliable, production use. Apply biological and chemical domain knowledge to ensure models are scientifically grounded, interpretable, and address meaningful therapeutic questions, communicating evaluation and validation strategy along with its uncertainty. Partner with scientific domain experts to ensure predictive and agentic methods address the questions that matter most to the portfolio, and advocate for the opportunities afforded by these technologies. Contribute to the MLOps practices that bring predictive methods into reliable use, in collaboration with engineering teams,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/director-predictive-and-agentic-target-biology-at-gsk-d3d019

Source: https://jobsbylevel.com/jobs/director-predictive-and-agentic-target-biology-at-gsk-d3d019

## Cite this page

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