Data Scientist — Genomics & Phenotype Data Integration

University of Cambridge; Cambridge; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

The University of Cambridge invites applications for a Data Scientist to provide data to researchers in academia and industry, through cohort discovery by mining phenotypic and genomic data, and to manage metadata assets of the NIHR BioResource projects.

You will link omics and clinical data to enable participant selection, contribute to complex linkage experiments, prepare de-identified datasets for recall and for release to researchers, and discuss data protection standards with researchers.

Qualifications

• Experience with phenotypic and genomic data and database modelling.
• Proficient in Python with Pandas and NumPy.
• Knowledge of Linux and shell scripting.
• Ability to prioritise and plan work, meet deadlines, and work unsupervised.

Responsibilities

• Link omics data with biomedical, demographic and phenotypic data to enable participant selection for proposed research studies.
• Contribute to complex linkage experiments where omics data is joined to sample holdings and rich clinical phenotype.
• Prepare datasets for recall-based research studies identifying potential volunteers.
• Prepare de-identified datasets for release to researchers.
• Discuss data protection, anonymisation and security standards with researchers.

Skills

Python programming

MySQL

NoSQL

Pandas

NumPy

Linux

Shell scripting

Job description

The University of Cambridge invites applications for a Data Scientist to provide data to researchers in academia and industry, through cohort discovery by mining phenotypic and genomic data, and to manage metadata assets of the NIHR BioResource projects.

You will link omics and clinical data to enable participant selection, contribute to complex linkage experiments, prepare de-identified datasets for recall and for release to researchers, and discuss data protection standards with researchers.