Senior Scientist I/Ii, Genomics Data Science

Job Description
We are seeking a highly motivated and experienced data scientist to join the Bioinformatics team within the Genomics Research Center (GRC). AbbVie’s GRC is a center of excellence for bioinformatics, functional genomics, and human genetics. The GRC works across all R&
D including discovery and clinical development, supporting all of AbbVie’s therapeutic areas and multiple other functions such as process sciences, global epidemiology, search and evaluation, and corporate strategy. Our team is dedicated to identifying and interpreting genetic signal at the scale of thousands of phenotypes and millions of individuals, making the knowledge gleaned from genetics accessible to AbbVie’s R&
D community, and using data science and machine learning to maximize the value genetics brings to AbbVie.
The ideal candidate will cover the growing responsibilities of this team, including statistical and machine learning analysis in large biobank studies with over 1 million genomes, and integration of genetics and real-world data for drug target identification, disease risk assessment and patient stratification. The candidate should be familiar with developing and improving data analysis workflows on large genetic data, and contemporary data visualization methods. Candidates with a track record of innovative methods development and applications of human genetics in biotech and/or pharma are preferred.
Key Responsibilities:

· Provide analysis support for ongoing collaborations seeking to develop and improve processes for development and manufacturing of novel therapeutics using genetic data.
· Work closely with scientific teams to analyze genetic data in large biobanks, effectively communicate results to an audience with a wide range of backgrounds and expertise. Work toward making genetics knowledge more accessible through development and maintenance of tools and databases.
· Identify methodological problems and devise and implement creative new solutions for the integration of genetics and real-world data.
· Keep up with latest literature in methodology and databases for genetic associations.
· Work with bioinformatics engineers to optimize newly developed software into reproducible workflows executable by other bioinformaticians, and train other scientists on analysis workflow you have developed.
· Present research at external conferences and work toward both independent and collaborative publications.
Significant Work Activities -Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)