| London Jobs |
| Manchester Jobs |
| Liverpool Jobs |
| Nottingham Jobs |
| Birmingham Jobs |
| Cambridge Jobs |
| Glasgow Jobs |
| Bristol Jobs |
| Wales Jobs |
| London Jobs |
| Manchester Jobs |
| Liverpool Jobs |
| Nottingham Jobs |
| Birmingham Jobs |
| Cambridge Jobs |
| Glasgow Jobs |
| Bristol Jobs |
| Wales Jobs |
| Oil & Gas Jobs |
| Banking Jobs |
| Construction Jobs |
| Top Management Jobs |
| IT - Software Jobs |
| Medical Healthcare Jobs |
| Purchase / Logistics Jobs |
| Sales |
| Ajax Jobs |
| Designing Jobs |
| ASP .NET Jobs |
| Java Jobs |
| MySQL Jobs |
| Sap hr Jobs |
| Software Testing Jobs |
| Html Jobs |
| Job Location | Cambridge |
| Education | Not Mentioned |
| Salary | Salary negotiable |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent, full-time or part-time |
Role: Data ScientistDuration: 12 monthsLocation: Central Cambridge 1-2 days per month in the officeRates: 40 per hour LTD (OUTSIDE of IR35)Additional:Candidates must have previous Pharma experience and handling biological datasets/ clinical dataMSc in Computer /Data Science is requiredPython programming / coding experience is essentialCandidates must be available on 4 weeks notice or less.The RoleDo 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 medicinesThe 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&Dscientists, 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 AccountabilitiesDevelop graph-based ML analytical models to support specific R&D projectsPresent recommendations from ML analysis to stakeholdersMaintain and update knowledge graph with new datasetsDevelop new capabilities to facilitate next versions of knowledge graphCollaborate withscientists, physicians and statisticians to identify recommendations from knowledge graphs as well as other research dataProvide technical input, options and directions to strategic decisions made by cross functional teamsEducation, Qualifications, Skills and ExperienceEssentialMS in computer science or data science or other advanced degree computer scienceVery strong python coding abilityExperience with handling biological datasetsExperience with graph-based machine learning modelsDesirableGraph experience and handling of disease multi-omics dataIf you are interested please apply or send your CV to