Senior Data Scientist – Functional Genomics
One of the world’s most prestigious pharmaceutical companies is expanding their functional genomics unit in Oxford and seeking a dynamic and highly talented Senior Data Scientist to push innovation and drive their early phase drug discovery. This is an exciting opportunity to be play a pivotal role in the development of new treatments for chronically ill patients. The Lead Data Scientist, you will be working on experimental, early phase discovery projects and this position requires a passionate, highly creative and mathematical mind, as well as exceptional leadership skills and outstanding technical ability.
Senior Data Scientist responsibilities would be:
-Use cutting-edge technologies such as single cell sequencing and CRISPR genome editing
-Use experimental training data to predict which targets need to experimentally tested in human organoids
-Interact across departments with internal stakeholders from Bioinformatics, Discovery Biology, Pharmacology etc.
-Strengthen external collaborations with academic community
Requirements of the position:
-PhD or Post-Doc in Computational Biology, Mathematics, Physics, Machine Learning, Statistical Genomics or a related discipline
-Passion for science and biology is absolutely necessary
-Knowledge of functional genomics is highly desirable
-Expertise in applying machine learning/modelling techniques to complex biological data
-Strong understanding of biology and drug discovery processes
-Leadership/Supervisory experience is desirable
-Dynamic, innovative, energetic personality that enjoys a fast-paced environment and wants freedom for creativity
-Ability to work under pressure, delivering projects under strict timelines
-Leadership skills, mentoring experience
This is a fantastic opportunity with a leading global pharmaceutical company that offers a flexible and collaborative work environment, where publishing is actively encouraged. Employees have access to cutting edge technology and have the freedom for creative intellectual independence. For more information on this opportunity, send your CV to Emilie Francis at email@example.com. For an informal chat, call Emilie on 0121 616 3477.
Data Science, Computational Biology, Data Modelling, Drug Discovery, Genomics, Data Modeller, Computer Science, Oxford, London, Cambridge, Pharmaceuticals, Machine Learning, Artificial Intelligence, Systems Biology
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Job Reference: EFOXDSDD_1532706473
Broadcast As: 2731
Salary To: Negotiable
Job Type: Full Time
Job Term: Permanent
Job Industry: Pharmaceutical
Job Specialism: Engineering
Recruitment Consultant: Emilie Francis