Remote Statistical Geneticist for AI-Driven Target Discovery
Jackson Hogg
United States
Remote
GBP 60,000 - 80,000
Full time
14 days+
Application generator
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Get past ATS filters
Benefits offered by this job
Competitive compensation aligned with industry expectations
Flexible scheduling
High-trust culture emphasizing ownership
Support for scientific publication
Job summary
A biotechnology organization is seeking a Statistical Geneticist to join their innovative team. This role involves managing genetic datasets and applying machine learning to functional genomics problems. Candidates should possess a MSc or PhD in relevant fields and have advanced programming skills in Python and R. The job offers a fully remote work environment and a competitive compensation. The ideal candidate is expected to thrive in fast-paced settings and contribute to impactful therapeutic discoveries.
Qualifications
Demonstrated experience analysing large datasets using statistical inference and machine learning.
Relevant scientific publications in reputable venues.
Practical experience with population genetics, GWAS, and post-GWAS analysis frameworks.
Responsibilities
Manage and preprocess genetics and tabular datasets for analysis.
Conduct common and rare variant association studies.
Develop, maintain, and scale automated pipelines for studies.
Skills
Statistical inference
Machine learning
Python programming
R programming
Population genetics
Bioinformatics
Education
MSc or PhD in Statistical Genetics, Bioinformatics, Biostatistics, or related field
Tools
Unix/Linux environments
HPC or cloud computing
Job description
A biotechnology organization is seeking a Statistical Geneticist to join their innovative team. This role involves managing genetic datasets and applying machine learning to functional genomics problems. Candidates should possess a MSc or PhD in relevant fields and have advanced programming skills in Python and R. The job offers a fully remote work environment and a competitive compensation. The ideal candidate is expected to thrive in fast-paced settings and contribute to impactful therapeutic discoveries.