Founded by some of the UK’s leading Researchers, a dynamic new Biotech based in the heart of Cambridge is expanding rapidly and seeking a talented Statistical Geneticist to join their team of experts. The company offers a revolutionary service that seeks to transform the patient experience and also further cutting-edge research into clinical disease progression and risk prediction. This role is perfect for someone who likes to be involved in the end to end data science process; starting with the raw data, extracting, categorising, cleaning and analysing healthcare data to provide insights and make predictions.
Responsibilities may include:
*Extracting, cleaning, categorising, analysing and building Machine Learning Models from real world health data
*Linking health data with genomic data
*Providing technical insight to key stakeholders.
*Maintaining correct approaches to model management
The ideal candidate will have:
*A PhD in Biostatistics, Statistical Genetics, Mathematics, Machine Learning, Computer Science or a related discipline
*Significant experience of working with large scale genetic and/or healthcare data
*Experience developing and deploying machine learning or deep learning models
*Strong, demonstrable programming/coding skills
*Additional software skills and experience of deploying into the cloud would be desirable
*A fantastic attitude, outstanding work ethic and the ability to think independently, demonstrate initiative as well as bundles of creativity.
This is an ideal opportunity for a driven Data Scientist/Statistical Geneticist who enjoys a fast-paced start up environment, and wants to make a real difference to patients around the world. On offer is a competitive package, flexible work environment and the chance to work amongst some of the industry’s greatest thinkers. To apply, send your CV to Emilie at email@example.com.
Key words: Machine Learning, Statistical Models, Preventative Medicine, Personalised Medicine, Statistical Genetics, Population Genetics, Data Science, Cambridge, Start-up.
Job Reference: CBSTGEN_1593098674
Broadcast As: 2731
Salary To: Negotiable
Job Type: Full Time
Job Term: Permanent
Recruitment Consultant: Emilie Francis