Data Scientist We are seeking a data scientist to apply advanced analytics and AI methods on EHR phenotyping data from clinicogenomic data sources such as UK Biobank (UKBB) and Alliance for Genomic Discovery (AGD) datasets, driving discovery through large-scale biobank analyses. The candidate will extract patient cohorts from the EHR data in order for Genome-wide Association Studies (GWAS) and related applications to extract actionable insights from AbbVie's rich biobank data resources.
Responsibilities: UKBB, AGD data and other RWD
Required Skills:- Data curation and mining using Linux command line
- Advanced analytics
- Advanced programming skills with writing reusable scripts (R, Python, Spark or SQL)
- Learn existing automated EHR-phenotyping using large longitudinal UK Biobank and AGD data
- Strong communication and teamwork
- Basic Qualification:2-3 (PhD), or 5 years (MSc)
- Additional Skills:
- Biostatistics, Genetics, experience with latest AI methodologies
- This is a high PRIORITY requisition.
