Genomic Data Scientist – Epigenetics & GWAS (Hybrid)

Taleo; Pittsburgh (Allegheny County); Hybrid; USD 54,000 - 71,000; Full time

Job summary

The University of Pittsburgh is seeking a Genomic Data Analyst / Statistical Geneticist to lead analyses on genomic and epigenomic data across multiple projects. The role involves epigenome-wide and GWAS data cleaning, modeling, and interpretation, using R and related tools within an interdisciplinary team.

Ideal candidates will have a Master’s degree, experience with DNA methylation analysis in R, and strong data-management skills.

Qualifications

• Master's degree with strong statistical training.
• Prior DNA methylation analysis experience in R is valuable.
• Strong analytical judgment, productivity, and adaptability across projects.

Responsibilities

• Lead and support statistical analyses across genomic projects.
• Perform epigenome-wide and genome-wide association study data cleaning and analyses.
• QC of array-based data, handling missing data, imputation, and sensitivity analyses.
• Execute regression, mixed-effects, and mediation analyses.
• Create R Markdown reports and analysis pipelines under version control.
• Maintain data infrastructure for advanced analysis.

Skills

R programming

Statistical modeling

Data quality assessment

Education

Master's Degree

Tools

REDCap

dbGaP submissions

Job description

The University of Pittsburgh is seeking a Genomic Data Analyst / Statistical Geneticist to lead analyses on genomic and epigenomic data across multiple projects. The role involves epigenome-wide and GWAS data cleaning, modeling, and interpretation, using R and related tools within an interdisciplinary team.

Ideal candidates will have a Master’s degree, experience with DNA methylation analysis in R, and strong data-management skills.