Biotechnology Jobs in Cambridge

• Cambridge
• Hybrid · 3 days in office
• Director

Leads an integrated Business Continuity and Crisis Management capability across Oncology R&D, owning the framework, risk registers and BIAs while designing executive-level crisis exercises. Drives emerging-risk assessment, supply-chain nth-tier visibility and the practical use of AI in resilience practice, acting as the audit and regulatory interface for standards such as NIS2.

NIS2 · Business Continuity Software

• Cambridge
• Lead · manages people

Lead multidisciplinary teams defining and delivering AstraZeneca's frontier AI roadmap, turning ambiguous scientific and business questions into scalable AI/ML and agentic systems deployed on cloud and HPC. The role spans problem framing, MLOps, governance and external partnerships, with a strong emphasis on reuse, adoption and measurable scientific impact.

Python · PyTorch · JAX +7

• Cambridge
• Lead · manages people

Lead scientific strategy for cardiac electrophysiology and translational ion channel research, acting as scientific lead across multiple integrated drug discovery programmes. Guide experimental design using automated patch clamp (Qube/Sophion), MEA systems and hIPSC-derived cardiomyocytes, while serving as primary client contact and mentoring scientists.

Qube · MEA Systems · Sophion

• Cambridge
• Hybrid
• Senior

Hands-on bioanalytical role developing, optimising and running LC-MS/MS assays for small and large molecule DMPK studies in an early discovery setting, analysing matrices such as plasma, blood, brain, bile, faeces and urine. Combines complex mass spectrometry troubleshooting and method development with leading scientific projects, mentoring colleagues and driving novel assay innovation in a matrix team.

UPLC-MS · LC-MS/MS · Mass Spectrometry

• Cambridge
• Lead

Lead complex formulation development programmes for biologics, acting as subject matter expert and providing technical oversight across multiple client projects. Design experimental strategies, present findings to clients and external stakeholders, and mentor junior scientists within a multidisciplinary team.

• Cambridge
• Mid-level · manages people

Lead client-facing formulation development programmes for biologic drug products, combining hands-on lab science with project ownership and people management. Design and oversee complex experimental studies, manage client interactions and technical reports, and mentor scientists within a growing team while driving innovation and technical excellence.

• Saffron Walden
• Hybrid
• £3,452 – £3,861 pm
• Contract

Curate molecular interaction and macromolecular complex data from scientific literature and user depositions into the IntAct and Complex Portal knowledgebases. Work with bioinformaticians and developers to build curation workflows combining expert manual curation with AI-assisted literature mining, using ontologies and community data standards.

IntAct · Complex Portal · Gene Ontology +2

• Saffron Walden
• Hybrid · 2 days in office
• £4,395 pm
• Lead · manages people
• Contract

Lead the scientific data programme behind FENIX, a unified platform for archiving and exploring functional genomics datasets. You will line manage bioinformaticians and curators, own data standards and quality controls, and guide reproducible Nextflow workflow development while acting as principal scientific liaison with teams such as ENA, Ensembl and UniProt.

Nextflow · Python · R +7

• Saffron Walden
• Hybrid
• £38,570 – £49,893 pa
• Senior
• Contract

Develop and apply statistical and deep learning methods to cell-free DNA from pregnant women, calling fetal and maternal genotypes from high-coverage sequence data and building methylation-aware biomarkers for pregnancy complications. Work spans methods development, large cohort application and collaboration with international partners in a statistical genomics group.

Python · R · Unix +6

• Saffron Walden
• Hybrid
• £38,570 – £49,893 pa
• Entry level
• Contract

A postdoctoral research role analysing large-scale human genetic, epigenetic and proteomic datasets, including dried blood spots, birth cohorts and cell-free DNA, to uncover the genetic basis of early-life traits and develop biomarkers for pregnancy and neonatal conditions. The work spans statistical genetics, multi-omics and methods development, with scope to tailor projects to the fellow's interests.

GitHub · Snakemake · Nextflow +1