Statistical Geneticist

We are working exclusively with a pioneering precision medicine biotech making groundbreaking advances in the understanding of causal biology in complex, chronic diseases!

The company generates unique insights from multimodal patient data and identifies new biomarkers to accelerate drug discovery, de-risk clinical trials, and create personalised treatments and diagnostics that will improve the lives of people with unmet medical needs.

You will report directly to the VP of population genetics as a

Statistical Geneticist

to help make healthcare more personalised, preventative and predictable.

This rapidly growing company is headquartered near Oxford, UK.

What will you be doing?
Applying statistics and AI/ML to genetic and clinical data
Developing, testing and implementing novel approaches for disease risk scoring and classification for human disease
Testing new algorithms with product engineers whilst analysing and interpreting internal product experiments
Communicating findings with your team and project partners in a collaborative style

Requirements:
Ph.D. in biostatistics, statistical genetics, population genetics, genetic epidemiology or MSc with 3+ years' experience in relevant fields.
In-depth understanding of genetics, genetic variation, and analytical techniques such as GWAS and PRS
Strong programming skills in Python Proficiency in resolving statistical analysis challenges using structured workflows
Comfortable with handling and analysing complex, large-scale datasets using a variety of statistical, Al, and Machine Learning methods
Clear and actionable communication of intricate quantitative analyses
Valuable experience in clinical study design is highly advantageous
Able to work onsite 2/3 days a week

Benefits:
A competitive salary with performance related bonuses
Stock Options Company pension scheme
Life Assurance/Death in Service Insurance
Private Healthcare Scheme
Access to substantial number of courses and training events