Bioinformatics Scientist

Enhanced Genomics; Cambridge; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading genomics company based in Cambridge is seeking a Bioinformatics Scientist. In this role, you will partner with biologists and engineers to design and analyze computational workflows, focusing on Next Generation Sequencing (NGS) data. You will interpret complex datasets to support drug discovery initiatives and collaborate closely with interdisciplinary teams. Ideal candidates should have a PhD in computational biology or equivalent experience. Responsibilities include statistical analysis using R or Python and contributing to target identification efforts.

Qualifications

• PhD in computational biology or equivalent experience required.
• Experience in drug discovery or similar setting preferred.
• Familiarity with NGS and multi-omics datasets essential.

Responsibilities

• Process and analyze NGS data.
• Select statistical approaches and articulate assumptions.
• Design and support target identification plans.

Skills

Computational biology

Data analysis in R

Data analysis in Python

NGS data interpretation

Statistical analysis

Education

PhD in computational biology or related area

BSc/MSc with equivalent industry experience

Tools

NextFlow

Git

Job description

Enhanced Genomics is a functional genomics spinout company from the Babraham Institute (Cambridge, UK) leveraginga disruptive technology to profile three-dimensional (3D) genome folding at high resolution.

EnhancedGenomics is an innovative and dynamic company with diverse and highly engaged staff. We believe in fostering great teamwork to maximise our collective skills and experience. We are passionate about realising the power of 3D genomics by developing newcutting-edgetechnologies for therapeutic discoveries.

Summary

As a Bioinformatics Scientist you will partner with Biologists and Engineersto design, execute, and interpret computational analyses that accelerate drug discovery programs.You’lldeliver rigorous, reproducible analyses of NGS and other biological datasets, translate results into biological and project-relevant conclusions, and help teams make better experimental and program decisions.

Key Responsibilities

• Processing, analysing, and interpreting NGS data.
• Selectingappropriate statisticalapproaches; articulatingassumptions/limitations; interpretingresults in biological and experimental context.
• Contributingcode in Python and/or R for statistical analysis and visualisation of complex and large datasets.
• Working closely with biologists and other bioinformaticians to design, develop and support target identification and target validation plans.

Required Qualifications and Skills

• PhD in computational biology or a related area, orBSc/MSc with equivalent industry experience.
• Experience supporting discovery-stage research in anacademic drug discovery centre or industrial biotech/pharma setting(e.g., target identification/validation, biomarker work, translational genomics, or similar).
• Experience with Next Generation Sequencingplatforms and/or“multi-omics” datasets.
• Familiarity with common bioinformatic databases and tools including major public genetic and genomic data repositories.
• Programming and statistical data analysis andvisualisation experience in R or Python, with an understanding of standard supporting tools (NextFlow, Git, etc.).
• Experience with and understanding ofchromatin conformation assays (Hi-C,capture Hi-C,HiChIP, etc.).

We will only be considering applicants that have the right to work in the UK.

Department for Science, Innovation & Technology