Job Description

Top Skills Required

• 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
• MS+2 or PhD in the quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field).
• Experience with code reproducibility, e.g. managing github repositories

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 .

Qualification Required

• Master's degree with 2+ years experience or PhD in the 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 multiuple 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.

Job ID - 25-30517

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity,

national origin, disability, or status as a protected veteran.

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