National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Principal Bioinformatician / Statistical Geneticist

hays-gcj-v4-pd-online
1 year ago
Applications closed

Related Jobs

View all jobs

Principal C++ Engineer

Principal Scientist

Principal Software Developer

Principal Software Engineer

Principal Software Engineer

Principal Pricing Analyst

Your newpany
You will be joining an innovative biopharmaceuticalpany who have an excellent reputation for Research & Development. They have been investing heavily within their Bioinformatics & Data Science capabilities over the last few years and are continuing to expand their teams as well as their technology.
They are looking to add someone to their team who can help drive drug discovery and development efforts through utilising advanced Bioinformatics and Data Science approaches for aspects such as personalised medicine and biomarker development.

Your new role
This is a contract position (with good home working flexibility) initially lasting 12 months but with potential to extend, working closely with multiple groups within thepany to support to support drug discovery and development efforts across multiple disease areas.You will be developing and applying a variety of bioinformatics and statistical genetics approaches (ideally using Data Science and ML techniques) to analyse large scale NGS / genetic and other omics data sets on projects ranging from early discovery & target ID through to patient stratification and clinical biomarker analysis.
Main responsibilities will include:

Hands-on analysis of omic and genetic/genomic data sets, eg gene expression and transcriptomic data Helping develop new scripts / tools / pipelines and approaches for R&D projects, either using classicalputational biology approaches or Machine Learning (eg regression, boosting, graph based approaches, etc) Look for and implement new approaches for the group's R&D work, eg by incorporating new data sets Help develop new functionality and versions of existing tools and platforms Work closely with stakeholders across R&D, eg drug discovery and development team leads to advise on potential drug targets Provide insight and ideas on potential drug discovery strategies and approaches, as well as aspects such as patient stratification or biomarker development Hands-on programming in R and / or Python, eg for pipeline or tool development



What you'll need to succeed
A background or current experience of Statistical Genetics, eg developing polygenic risk scores, would be a significant advantage for this position though this is not essential.Other requirements include:BSc/MSc/PhD (or equivalent experience) in statistical genetics, bioinformatics,putational biology, data science, biology,puter science, statistics or a relevant discipline.Track record of working with genetic / genomic, NGS or multi-omic data sets (ideally from clinical samples or drug discovery focused projects)Knowledge / experience of drug discovery or development, preferably within a pharmaceutical, biotech or CRO is preferredSkilled in programming languages such as python or R.Knowledge / hands-on experience with Machine Learning and/or predictive modelling approachesExperience using machine learning methods and statistical models is again a plusStrongmunication skills with the proven ability to relay information effectively and efficiently, both toputational and experimental scientists.Experienced working collaboratively with teams on project work

What you'll get in return
An exciting opportunity to work with one of the leading global players developing novel medicines and having a real impact on future patients around the world.
The role also allows for a good home working balance, offers a generous pay rate and the chance to really develop your skills within a fast-paced R&D setting.

National AI Awards 2025

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 Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.