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Bioinformatics / Real World Data Scientist

Job LocationLondon
EducationNot Mentioned
Salary£55,000 - £85,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

Biology/real world data. Leading technology consultancy. Machine Learning & pharmaceuticals/biotech, UK/Europe Your new companyYou will be joining a world-leading technology consultancy investing heavily in their life sciences division to help grow their team.As well as one of the most talented data science teams in the industry, they are backed up by significant computational resources and a number of high-level partnerships within the top 50 pharmaceutical & biotech clients across the globe. They are looking at new ways to use large scale data sets and innovative AI / Machine Learning approaches from early and late stage research to streamline processes across the entire clinical lifecycle and make a real impact for their clients.Your new roleYou will be joining the Life Sciences team, made up of experts located across several different countries. This is a blue-sky problem solving role, where youll be finding creative solutions to a wide range of issues faced by pharmaceutical, biotech and medical device companies across the globe. Depending on your skills & experience you could be working with early stage bioinformatics / sequencing data, biomarker data from clinical development or Real World Evidence / epidemiological data. This position can be based in the UK or Europe and there are multiple roles available within the team, from junior level through to Director. Major responsibilities will include (but arent limited to):

  • Working on technical solutions to client issues, eg experimental design, data analysis & interpretation, etc in areas such as: drug discovery, preclinical R&D, clinical / drug development, RWE/RWD
  • Liaising with stakeholders and other internal data science/computational teams on large scale projects
  • Answering technical questions from clients
  • Providing consultancy and advice on projects
  • For more senior candidates, there are several opportunities to take on line management and more strategic responsibility.What youll need to succeedAs well as strong communication, organisational and time management skills, you should have:
  • An MSc / PhD (or equivalent experience) in data science, statistics, computer science, bioinformatics, biology or a related subject - candidates who are close to submitting are also encouraged to apply;
  • Hands-on experience with the analysis and interpretation of large scale clinical, biological / omics or electronic medical record / epidemiological data sets;
  • Exposure to a programming language such as R, Python, SAS or similar - with advanced skills preferred although not essential;
  • Experience working on or leading data science, RWE or informatics projects (ideally within drug discovery or clinical development);
  • Abilities within Data Science, eg using or developing Machine / Deep Learning approaches, models, algorithms or similar.
  • Knowledge / experience of biomarker discovery or validation, pharmaceutical drug discovery and/or development projects would be an advantage.What youll get in returnAn unparalleled opportunity to join one of the fastest growing and high performing technology consultancies out there, as well as having a significant impact on the research direction and strategy of the life sciences / pharmaceutical field. The role also provides a very generous salary package, rapid career development and the chance to see trends across the whole life sciences industry.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 me on +44 (0).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, especially as there are a number of other bioinformatics, data science and statistics positions available.Keywords: data, science, statistics, statistical, biomarker, drug, discovery, development, pharmaceutical, bioinformatics, genetics, NGS, AI, medical, record, machine, deep, learning, python, R, epidemiology, technology, consultancy Required skills
  • PCR
  • RNA
  • NGS
  • science
  • Director
  • learning
  • medical
  • data
  • python
  • pharmaceutical
  • development
  • machine
  • R
  • statistics
  • head
  • record
  • genetics
  • bioinformatics
  • drug
  • VP
  • statistical
  • discovery
  • biomarker
  • deep
  • Keyskills :
    PCR RNA NGS science Direct learning medical data python pharmaceutical development machine R statistics head recd genetics bioinfmatics drug VP statistical discovery biomarker deep

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