Biotechnology Jobs

• London
• Hybrid · 2 days in office
• US$284,250 – US$473,750 pa
• Director · manages people

Leads a team of medical directors and clinical scientists designing and executing early-phase oncology trials, including first-in-human and proof-of-concept studies, while bridging preclinical discovery and clinical development. Accountable for clinical development plans, translational and biomarker strategy, and regulatory submissions across a lung and head/neck cancer portfolio.

AI/ML

• USA - Pennsylvania - Upper Providence
• Hybrid · 2 days in office
• US$284,250 – US$473,750 pa
• Director · manages people

Leads a team of medical directors and clinical scientists designing and executing early-phase oncology trials, including first-in-human and proof-of-concept studies, while bridging preclinical discovery and clinical development. Accountable for clinical development plans, translational and biomarker strategy, and regulatory submissions across lung and head/neck cancer programmes.

AI/ML · Real World Evidence

• London
• Hybrid · 3 days in office
• Senior

Hands-on in vitro pharmacologist designing and running biochemical, biophysical and cellular assays for novel modalities, generating ML-ready datasets that both advance drug programmes and improve predictive models. Works closely with ML and computational colleagues, using LLM agentic workflows and in silico hypothesis building, and coordinates wet-lab studies across CRO partners.

SPR · GCI · nanoDSF +7

• London
• Hybrid
• £67,900 – £126,100 pa
• Director · manages people

Lead statistical programming for complex global clinical programs from phase I to IV, coordinating internal and external programmers and setting programming strategy with biostatisticians. Drives adoption of R packages, Shiny applications and AI-enabled tools for visualization and reproducible workflows, while managing resources and acting as functional mentor within the therapy area community.

R · Tidyverse · R Shiny +1

• Uxbridge
• Hybrid
• Senior

An individual contributor role conducting non-interventional real-world data research for medical and HEOR teams across international markets. You will identify data sources, oversee statistical programming in R, and interpret and present findings to stakeholders. The position requires deep expertise in observational data analysis and offers hybrid working from Uxbridge.

R · GitHub · Claude +2

• Norwich
• On-site
• £21,805 pa
• Entry level
• Contract

Investigates the repeated evolution of mimicry in Neotropical Corydoradinae catfishes using comparative and population genomics. The project analyses chromosome-level genomes, RNA-seq and whole-genome resequencing data to find signatures of divergent selection, selective sweeps and rapid pigmentation gene evolution, with training in bioinformatics, UNIX/Linux, HPC and R/Python.

RNA-seq · Whole-Genome Resequencing

• 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

• Cambridge
• Director · manages people

Lead a biometrics team delivering statistical design, analysis and interpretation for oncology product development, from preclinical studies through regulatory submissions and health technology assessment. Represents statistical strategy at internal governance and external bodies such as health authorities and advisory boards, while mentoring statisticians and partnering with CROs.

SAS · R · Python

• High Wycombe
• Entry level
• Internship

A 12-month industry placement within the Integrated Data Analytics and Reporting function, focused on Clinical and Statistical Programming. The student applies SAS, R, Python, RPA and Power Automate to analyse trial data, build AI-driven tools and automate clinical reporting, while collaborating with programming experts across disease areas.

SAS · R · Python +4

• Slough
• Hybrid · 3 days in office
• £37 – £50 ph
• Contract

Process, analyse and interpret omics data from clinical portfolio studies to uncover biological mechanisms, treatment effects and safety signals. Develop analysis pipelines using state-of-the-art tools, document reproducible code for patient-level data, and write reports and scientific publications. Requires strong bulk and single-cell RNAseq expertise, R, HPC/Unix and Docker skills.

Docker · DNAnexus

• London
• Lead

Ensures clinical trials comply with quality standards, SOPs and health authority regulations, partnering with site management and therapeutic area leads. Builds cluster quality plans, leads CAPA and root cause investigations, and supports audit and inspection readiness across internal and FSP teams. Also handles local regulatory intelligence and supplier quality assessments.

Quality Risk Management System

• 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

• Lisburn
• On-site
• Entry level
• Internship

A 12–14 month university placement for penultimate-year students, supporting the Statistical Programming group on clinical trials. Day to day you produce analysis and submission datasets, statistical tables, graphs and data listings using SAS, while learning about the pharmaceutical industry, clinical trial conduct and good clinical practice within a global project team.

SAS · R · MATLAB +1

• London
• Senior
• Permanent

Develops and benchmarks machine learning models for DNA sequence, regulatory elements and genetic variation, including variant effect prediction and representation learning. Integrates sequence-derived representations with transcriptomic, epigenomic and perturbational data to uncover disease mechanisms and support target prioritisation, working within the interdisciplinary Rosalind team.

Transformer · DNA Language Models · Genomic Foundation Models +2

• Harrow
• Remote
• Mid-level

Independently leads statistical aspects of low-to-moderate complexity clinical trials, developing complex analysis strategies and executing them with SAS or R. Reviews analysis datasets, quality-controls statistical deliverables, and contributes to trial design, analysis plans, and regulatory submissions. Works within global cross-functional teams, liaising with clients on data analysis, scope, and budget.

SAS · R