Founding Computational Biologist

QP Group; Greater London; Presencial; GBP 70 000 - 95 000; Tempo integral

Resumo da oferta

QP Group is seeking a computational biologist to design and build workflows for an AI platform supporting pharma R&D. You will define quality measures, work with an AI team to create expert-labelled data, and analyze partner data to inform bio-centric insights.

You will collaborate with product teams to translate scientist needs into clear requirements and participate in hiring 2–3 junior computational biologists to grow the team.

Qualificações

• PhD in computational biology, bioinformatics, pharmacology or related field.
• Strong Python and R skills with AI-assisted coding tools.
• Experience delivering tools or platforms used by scientists.
• Comfort presenting results to pharma project teams.

Responsabilidades

• Design and build the first scientific and operational workflows for the AI platform.
• Define how scientific quality is measured and create expert-labelled data for models.
• Analyze data from early pharma partners and present findings to scientists.
• Collaborate with the product team to translate scientist needs into product requirements.
• Help grow the team by hiring 2–3 junior computational biologists.

Conhecimentos

Python

R

AI-assisted coding tools

Presentation skills

Formação académica

PhD in computational biology or related field

Ferramentas

LLM tools

Descrição da oferta de emprego

• Design and build the first scientific and operational workflows for an AI platform supporting pharma R&D, working closely with the AI engineering team. Examples include interpreting toxicology and DMPK data, study design, reviewing CRO data and drafting study reports.
• Define how scientific quality is measured: build the biology test sets and set the standard for what a reliable, traceable result looks like. Work with the AI team to create expert-labelled data that improves the models.
• Analyse data from early pharma partners and present the findings directly to their scientists. Lead hands-on, in-person work with partner research teams.
• Work with the product team to turn scientists’ needs into clear product requirements.
• Help grow the team by playing a central role in hiring 2-3 junior computational biologists.

The person

• A PhD in computational biology, bioinformatics, pharmacology or a similar discipline, with 3-8 years’ experience in pharma or biotech R&D.
• Broad experience across the drug development pipeline, from early target work through to IND/CTA. Preclinical development is the current emphasis (toxicology, DMPK, safety pharmacology, PK/PD), but wider pipeline experience is valued.
• A solid understanding of what goes into an IND-enabling package and how preclinical results inform progression decisions.
• Strong Python and R skills, comfortable using AI-assisted coding tools, and has delivered at least one tool or platform that other scientists have used regularly.
• Experience building or critically evaluating LLM or agent-based tools for biology would be a bonus.
• Comfortable presenting results to pharma project teams.

Less suited to: ML researchers, chemistry-focused ML specialists, people who have worked in only one data type (e.g. only single-cell or only genomics), or people who are purely managers.