Biotechnology Jobs

• London
• Hybrid · 2 days in office
• Director

Serves as the physician within oncology clinical program teams, leading medical monitoring, safety oversight and clinical data interpretation for genitourinary cancer studies. Partners with the Senior Scientist and cross-functional Clinical Matrix Team on protocol development, investigator engagement and regulatory interactions, with hybrid working of at least two days on-site per week.

AI

• Warsaw, Poland
• Hybrid · 2 days in office
• PLN 472,500 – PLN 787,500 pa
• Director

Serves as the physician within an oncology clinical program team, leading medical monitoring and safety oversight for genitourinary cancer studies. Interprets clinical and safety data, contributes to protocol development and regulatory interactions, and acts as a core member of the Clinical Matrix Team. Hybrid working with at least two days per week on-site.

AI

• Reading
• Remote
• Senior
• Permanent

Supports Pharmacometrics by programming, validating and delivering NONMEM-ready PK/PD datasets from SDTM/ADaM sources using advanced R, covering pre-lock and post-lock clinical data. Includes QC of datasets from external partners and of custom R packages, plus liaison with Data Management, Biostatistics and Bioanalytical teams and regulatory submission deliverables.

R · NONMEM · SDTM +1

• Cambridge
• Director
• Permanent · Flexible

A senior scientific leadership role shaping and delivering a drug discovery strategy, driving adoption of AI-assisted design, predictive modelling, automation and computational science across a diverse portfolio. The post-holder mentors multidisciplinary teams spanning biology, chemistry, protein design, pharmacology and translational sciences, and acts as a scientific ambassador in client engagements, proposals and partnerships.

• London
• Hybrid · 3 days in office
• Director · manages people

Lead national medical strategy for the Respiratory & Immunology business unit, spanning inhaled therapies and biologics. Define pre-launch and launch medical plans, drive NHS transforming-care initiatives, and oversee MSL and healthcare delivery teams. Provide scientific leadership across regulatory, market access and real-world evidence work.

NHS · NICE · SMC +3

• Cambridge
• Hybrid · 3 days in office
• Director · manages people

Owns International regulatory strategy for complex cell therapy programs, embedding regional requirements into evidence generation, submissions and labeling. Leads BLA/MAA planning, Health Authority engagements and labeling negotiations, integrating clinical, CMC, safety and commercial input. Also leads a matrix regulatory team, coaching colleagues and shaping policy and process improvements.

BLA · MAA · IND +2

• Maidenhead
• Lead · manages people

Client-facing biostatistics role leading design and analysis of non-interventional and low-interventional studies using real-world data such as claims, EHR and registries. Applies causal inference methods, target trial emulation and synthetic control arms, authors SAPs and manages SAS programming teams, while supporting proposals, budgeting and bid defences.

SAS · CDISC

• London
• On-site
• Entry level
• Internship

A 12-month industrial placement in Pfizer's Peptide Drug Product Development group, working alongside formulation scientists and analytical chemists. The role involves preparing and evaluating peptide formulations, running solubility and stability studies, and gaining hands-on experience with HPLC/UPLC and biophysical characterisation methods.

HPLC · UPLC

• Exeter
• £21,805 pa
• Entry level
• Contract

An interdisciplinary PhD studentship combining computational genomics at Exeter with stem-cell biology and CRISPR editing at Cambridge. The student will analyse whole-genome sequencing data from large multi-ancestry cohorts, integrate genetic signals with epigenetic maps and AI tools like AlphaGenome, and build iPSC-derived visceral and subcutaneous adipocyte models to functionally test prioritised regulatory variants.

AlphaGenome · DNANexus · Flow Cytometry +1

• London
• Director · manages people
• Permanent

Lead the team behind hybrid on-prem and cloud compute infrastructure, Kubernetes clusters, and scientific compute environments supporting ML and drug discovery. Own platform strategy, CI/CD maturity, observability, and security controls for sensitive patient-derived data, reporting to the VP of Engineering.

Kubernetes · Kubeflow · GPU Compute +3

• 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

• Exeter
• £21,805 pa
• Entry level
• Contract

Applies genetic clustering to severe mental illness traits to find biologically distinct risk components affecting obesity and type 2 diabetes, using GWAS data and population biobanks. Integrates single-cell multiomic datasets to map risk pathways to neuronal and glial cell types, with CRISPR-based functional work. Multidisciplinary training in statistical genetics, bioinformatics and functional genomics.

CRISPR · GWAS

• Oxford
• Lead · manages people

Lead a team of scientists developing novel biologic therapies for autoimmune disease, overseeing in vitro and in vivo pharmacology studies for lead and early discovery programs. Collaborate across immunology, protein engineering, translational medicine and biomarkers to deliver data packages for progression to development, while mentoring staff and contributing to INDs and patents.

• Cambridge, United States
• Hybrid · 3 days in office
• Lead

Lead the safety assessment strategy for small molecule and biologic drug discovery projects from inception to regulatory submission, designing screening cascades and mechanistic experiments. Partner with machine learning researchers to build predictive toxicology models and manage CRO relationships for outsourced wet-lab data generation, while mentoring junior team members.

KNIME · Python

• London
• Hybrid · 3 days in office
• Lead

Owns safety assessment strategy for drug discovery projects from inception to regulatory submission, working with small molecule and biologics platforms. Designs screening cascades, authors IND packages, and manages CRO relationships for outsourced wet-lab work. Also guides development of an AI predictive toxicology platform with ML researchers.

AI/ML · AlphaFold