Job Description

We are seeking a motivated Bioinformatics Scientist to join our cross-function team and support target identification and evaluation efforts. The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists to apply, refine, and expand established workflows for effective multi-omic data curation and analysis. This role will have a heavy emphasis on the curation and analysis of genetics data.

Roles & Responsibilities

• Master's degree with 2+ years experience or PhD in quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field).
• Experience with genome-wide association studies, particularly fine mapping and QTL colocalization from GWAS summary data is a plus.
• Familiarity with methods to prioritize genes per GWAS locus given multiple lines of evidence is a plus.
• Familiarity with rare disease genetics resources and biomedical ontologies is also a plus.
• Demonstrated experience in the analysis and integration of NGS data.
• Familiarity with the construction and execution of bioinformatics workflows.
• Strong proficiency in R and/or Python programming for bioinformatics workflows.
• Knowledge and proficiency in basic statistical concepts.
• Proficiency in operating in a Unix/Linux and High-Performance Computing (HPC) environment.
• Experience with code reproducibility, e.g. managing github repositories.
• Prior research experience in studying immunological diseases areas is a plus.
• Experience with Nextflow is a plus.
  
  

Skills:

• Experience with genome-wide association studies, particularly fine mapping and colocalization from GWAS summary data is a plus. Familiarity with rare disease genetics resources and biomedical ontologies is also a plus.
• Ability to critically evaluate experimental design, QC and suggest improvements.
• Strong proficiency in R and/or Python programming for bioinformatics workflows
• Experience working in HPC and cloud environment.