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Machine Learning Specialists - Biotech - home based

Hays Specialist Recruitment Limited
Job LocationLondon
EducationNot Mentioned
Salary55,000 - 70,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

AI, ML & computational specialists, cross-disciplinary background, rapidly growing biotech. Python / R Your new companyOne of the most exciting and forward thinking biotechs in the UK are looking to rapidly expand their existing computational teams after significant funding. The company focuses on cutting-edge genomic medicines to treat a range of disease areas and alreadyhas several products in early-mid stage development. Working closely with their existing target discovery and drug development teams, youll be joining a group set up specifically to bring new ideas and approaches to the companys drug development programmes using AI, Machine Learning and other advanced computationaltechniques. The company invest heavily in R&D providing a number of opportunities to grow your career and make a significant impact to patients around the world, as well as having a collaborative and friendly atmosphereYour new roleThese positions are within a brand new team, reporting directly to the CSO, focused on innovation and developing/applying machine & deep learning approaches to analyse data from drug discovery and development projects. Moving quickly and using a fail early, fail fast approach, rapid prototyping and collaborative discussions around the best way forward will be the norm, and you will be given significant freedom to try new approaches and come up with ideas. Think DeepMindbut within a biotech. This role can be fully home based and is up to you to set out how you work best.Main responsibilities will include a mix of:

  • Acting as a technical lead on projects;
  • Developing, validating and assessing ML methods, models, algorithms or approaches;
  • Working with wet-lab researchers to analyse a variety of data sets, eg phenotypic, imaging, biomarker or genomic data;
  • Hands-on programming in R, Python or similar languages;
  • Using data science, statistics or machine learning approaches to analyse and interpret large scale omics and clinical data sets;
  • Data interpretation and visualisation;
  • Working with colleagues across multiple R&D groups.
For more senior candidates there is potential to take on more research leadership or potentially line management.What youll need to succeedAs well as strong communication skills for dealing with internal collaborators and stakeholders, you should have:
  • An MSc / PhD (or equivalent experience) in machine learning, statistics, bioinformatics, biology, medicine, computer science or a similar area;
  • A knack for (and love of) solving problems;
  • The ability to work in a very fast-paced environment;
  • Strong programming skills in R and/or Python or a similar language;
  • A track record utilising a variety of statistical approaches to analyse data;
  • Experience working with NGS / genomics and multi-omic or other biological data sets;
  • Strong hands-on experience using data science, machine learning approaches (random forest, neural nets, SVM, supervised / unsupervised learning, etc) or deep learning frameworks (Tensorflow, h2o); and
  • Experience with drug discovery or development, ideally from a biotech or start-up/small company environment.
RNA-seq (especially single-cell RNA-Seq) experience is strongly preferred but not essential, and candidates who can demonstrate novel method, model or package development are encouraged to apply. This role would best suit candidates with a cross-functional / multi-disciplinary background due to the nature of how the company works (eg a mixed cell & molecular biology/medical and computational background).What youll get in returnA truly exciting role, with lots of freedom to tackle major problems and the chance to make a significant impact on the companys drug discovery and development projects, taking on project leadership for a number of different aspects.The company are relatively open on salary bands depending on the skills of the person coming in and offer plenty of chances for development and advancement.What you need to do nowIf youre interested in this role, click apply now to forward an up-to-date copy of your CV, or call on .If this job isnt quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.Keywords: machine, learning, pharmaceutical, drug, discovery, development, clinical, trial, data, science, statistics, statistical, biomarker, discovery, genetics, Bayesian, NGS, RNA, sequencing, biology, programmer, programming, scientist, python, R, C, Bash,platform, project, manager, developer, tool, pipeline, computational

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