Principal Bioinformatician / Statistical Geneticist

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Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

9fdeb5701001

Job Views:

10

Posted:

26.04.2025

Expiry Date:

10.06.2025

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Job Description:

Your new company
You will be joining an innovative biopharmaceutical company that has 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 utilizing advanced Bioinformatics and Data Science approaches for aspects such as personalized 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 the company 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 analyze large-scale NGS / genetic and other omics data sets on projects ranging from early discovery & target identification to patient stratification and clinical biomarker analysis.
Main responsibilities will include:

• Hands-on analysis of omic and genetic/genomic data sets, e.g., gene expression and transcriptomic data
• Helping develop new scripts / tools / pipelines and approaches for R&D projects, either using classical computational biology approaches or Machine Learning (e.g., regression, boosting, graph-based approaches, etc.)
• Looking for and implementing new approaches for the group's R&D work, e.g., by incorporating new data sets
• Helping develop new functionality and versions of existing tools and platforms
• Working closely with stakeholders across R&D, e.g., drug discovery and development team leads, to advise on potential drug targets
• Providing insights 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, e.g., for pipeline or tool development

What you'll need to succeed
A background or current experience in Statistical Genetics (e.g., developing polygenic risk scores) would be a significant advantage but is not essential. Other requirements include:

• BSc/MSc/PhD (or equivalent experience) in statistical genetics, bioinformatics, computational biology, data science, biology, computer 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
• Skilled in programming languages such as Python or R
• Knowledge/ hands-on experience with Machine Learning and/or predictive modeling approaches
• Experience using machine learning methods and statistical models is a plus
• Strong communication skills with the proven ability to relay information effectively and efficiently to computational and experimental scientists
• Experience 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 offers a good work-life balance, a generous pay rate, and the chance to develop your skills within a fast-paced R&D setting.