What are the responsibilities and job description for the Bioinformatics Analyst II (Genetics Focused) position at Katalyst Healthcares & Life Sciences?
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:
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.
- 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.
