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Bioinformatician - Drug Discovery

3 months ago


London, United Kingdom Hays Specialist Recruitment Limited Remote Work Freelance Full time

Your new companyYou will be joining an innovative biopharmaceutical company 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 roleThis is a contract position (with good home working flexibility) initially lasting 12 months but with potential to extend, working closely with a cross-functional team of R&D Scientists, Bioinformaticians, medics and statisticians. You will be developing and applying a variety of bioinformatics and statistical/Data Science approaches to analyse large scale NGS and other omics data sets and support drug discovery and development efforts by suggesting novel targets and approaches as well as analysing data from clinical trials. This position will be focused on new target identification and validation work as well as biomarker discovery and patient stratification across their portfolio and be part of a well-established and experienced Bioinformatics and Data Science team. 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 classical computational biology approaches or Data Science/Machine Learning tools
  • 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 or patient sub-groups within clinical trials
  • Provide insight and ideas on potential drug discovery strategies and approaches
  • Hands-on programming in R and / or Python, eg for pipeline, tool or model development

What you'll need to succeed

  • BSc/MSc/PhD (or equivalent experience) in bioinformatics, computational biology, data science, biology, computer science, statistics or a relevant discipline.
  • Track record of working with 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 preferred, but not essential
  • Skilled in programming languages such as python or R.
  • Strong communication skills with the proven ability to relay information effectively and efficiently, both to computational and experimental scientists.
  • Experienced working collaboratively with teams on project work.

Knowledge / hands-on experience with Machine Learning and/or predictive modelling approaches is an advantage but is not essential for the role

What you'll get in returnAn 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.What you need to do nowIf you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.

Keywords: data, science, pharmaceutical, biotech, biology, computational, omic, NGS, bioinformatics, genomic, gene, drug, discovery, development, R&D, python, programming, pipeline, tool, model, algorithm, statistical, research, machine, deep, learning, ML, database, software, enrichment, pathway