Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Computational Biologist - Functional Genomics

Hyper Recruitment Solutions
London
1 year ago
Applications closed

Related Jobs

View all jobs

Director of Oncology Genomics & Data Science

Senior Machine Learning Researcher - MSR AI for Science

Machine Learning Researcher in Bioinformatics (Research Fellow)

Data Scientist

Data Scientist

Data Scientist

We are currently looking for a “Senior Computational Biologist - Functional Genomics” to join a leading biotechnology company based in the London area. As the Senior Computational Biologist, you will be responsible for advancing the computational discovery platform and contributing to the development of next-generation medicines.


KEY DUTIES AND RESPONSIBILITIES:

Your duties as the Senior Computational Biologist will be varied; however, the key duties and responsibilities are as follows:

1. Use computational biology approaches, data integration, and biological knowledge to generate novel therapeutic targets.

2. Build pipelines to process, quality control, and analyse genetic and functional genomics data in cancer.

3. Collaborate with the computational biology and software engineering teams to create and maintain high-quality and well-documented code.

4. Contribute to the team’s success by meeting deadlines and striving to deliver high-quality work.


ROLE REQUIREMENTS:

To be successful in your application to this exciting role as the Senior Computational Biologist, we are looking to identify the following on your profile and past history:

1. Relevant degree in a related field.

2. Proven industry experience in computational biology and cancer biology.

3. A working knowledge and practical experience with Python, R, bash/Unix scripting, and Nextflow.


Key Words:

Senior Computational Biologist / Functional Genomics / Computational Biology / Cancer Biology / Data Integration / Genomic Data / Transcriptomic Data / Machine Learning / Python / R / Nextflow / AWS


Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications for any applicant who fulfil the role requirements for this position. HRS is a company exclusively supporting the science and technology sectors and is made up of a collaboration of recruitment professionals and scientists. We look forward to helping you with your next career moves.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.