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Data Scientist

Cambridgeshire   •  Negotiable  •  Contract/Temporary, Full time


Role: Data Scientist

Duration: 12 months

Location: Central Cambridge 1-2 days per month in the office

Rates: 40 per hour LTD (OUTSIDE of IR35)

Additional:

Candidates must have previous Pharma experience and handling biological datasets/ clinical data

MSc in Computer /Data Science is required

Python programming / coding experience is essential

Candidates must be available on 4 weeks notice or less.

The Role

Do you have expertise in, and passion for data science and analytics in Oncology? Would you like to apply your expertise to impact the Oncology Data Scientist role in a company that follows the science and turns ideas into life changing medicines?

The ideal candidate for this role will bring a proven track record of delivering value through the leverage of genomics and multi-omics data from healthcare settings to provide health analytics in R&D setting. They will collaborate with colleagues in R&D scientists, physiciansand statisticians giving scientific and technical recommendations on drug targets for new drug discovery. The role will promote best practice in multiomic data and machine learning across multiple domains, and/or stakeholder groups.

Typical Accountabilities

Develop graph-based ML analytical models to support specific R&D projects

Present recommendations from ML analysis to stakeholders

Maintain and update knowledge graph with new datasets

Develop new capabilities to facilitate next versions of knowledge graph

Collaborate withscientists, physicians and statisticians to identify recommendations from knowledge graphs as well as other research data

Provide technical input, options and directions to strategic decisions made by cross functional teams

Education, Qualifications, Skills and Experience

Essential

MS in computer science or data science or other advanced degree computer science

Very strong python coding ability

Experience with handling biological datasets

Experience with graph-based machine learning models

Desirable

Graph experience and handling of disease multi-omics data

If you are interested please apply or send your CV to dinusha.mohottige@cpl.com

  • Agency: Cpl Life Sciences
  • Reference: JO-2205-492589
  • Posted: 13th May 2022
  • Expires: 10th June 2022

Cpl Life Sciences

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