Data Scientist

ISONG; Pittsburgh, Northern (Allegheny County, KY); Hybrid; USD 54,000 - 71,000; Full time

Job summary

The University of Pittsburgh School of Nursing is seeking a Data Scientist II to lead analyses across an active research program focused on genomic, epigenomic, environmental, and behavioral factors influencing health outcomes.

The role includes data cleaning, advanced statistical analyses (EWAS/GWAS), reproducible R Markdown reports, and manuscript contributions. Hybrid work with a Monday–Friday schedule is offered.

Qualifications

• Master's degree required in a relevant field.
• Minimum 3 years of research data analysis experience.
• Experience with genomic/epigenomic data analyses is preferred.
• Proficiency in R programming and reproducible reporting.

Responsibilities

• Lead statistical analyses across genomic projects and health datasets.
• Perform EWAS/GWAS data cleaning, analysis, and interpretation.
• Ensure data quality through diagnostics and imputation where needed.
• Develop reproducible analysis pipelines and R Markdown reports.
• Support data infrastructure and data-management tasks as needed.
• Contribute to manuscripts, presentations, and grant proposals.
• Collaborate with nurse scientists, geneticists, and statisticians.

Skills

Statistical analysis

R programming

Data management

Genomics data analysis

Team collaboration

Education

Master's degree in a related field

Tools

REDCap

dbGaP submissions

R Markdown

Git / Version control

Job description

Data Scientist

Nurs-Health Promotion & Development - Pennsylvania-Pittsburgh - (26006222)

The University of Pittsburgh School of Nursing (PI: Lacey W. Heinsberg, PhD, RN) is seeking a highly motivated Data Scientist to help lead analyses across an active, interdisciplinary research program. Our work examines the genomic, epigenomic, environmental, and behavioral factors contributing to complex health outcomes. Current projects include community-partnered studies of pregnancy outcomes, child growth, and cardiometabolic health in Samoa and American Samoa, alongside collaborative genomic research on neurological injury, cancer, and more.

Much of this work involves array-based DNA methylation data, and prior experience with DNA methylation analysis in R is very valuable. Equally important is strong analytic judgment, productivity, adaptability across concurrent projects, and genuine eagerness to learn new data types and methods.

Job Summary

Performs research, analysis, and modeling on organizational data and data sets utilizing advanced statistical methods to mine and analyze complex and unstructured data sets. Offers complex analysis and utilizes advanced algorithms and statistical software. Adheres to all protocols.

Essential Functions

• Lead and support statistical analyses across a portfolio of genetic and genomic projects, both large and small
• Conduct epigenome-wide and genome-wide association study data cleaning and analyses, carrying data from raw files through analysis and interpretation
• Perform data quality diagnostics, including quality control of array-based data, handling of missing data, outlier detection, imputation, and sensitivity analyses
• Execute regression analyses, mixed-effects modeling, mediation analyses, and related statistical approaches across diverse study designs
• Create clear, transparent, and reproducible R Markdown reports and analysis pipelines maintained under version control
• Help maintain and improve data infrastructure to support advanced analysis
• Support data management activities as needed, including:
  • REDCap database development and maintenance for phenotype and clinical data (prior REDCap experience helpful but not required; training provided)
  • Preparation and management of dbGaP submissions for large-scale genomic datasets (prior experience helpful but not required; training provided)
• Contribute to manuscript preparation, scientific presentations, grant proposals, and collaborative projects
• May assist with training members of our research group in R programming, statistical methods, and data management best practices
• Collaborate with an interdisciplinary team of nurse scientists, geneticists, statisticians, and public health researchers

Physical Effort

Must be able to sit or stand for prolonged periods of time.

Assignment Category: Full-time regular

Job Classification: Staff.Data Scientist II

Job Family: Research

Job Sub Family: Data Science

Campus: Pittsburgh

Minimum Education Level Required: Master's Degree

Minimum Years of Experience Required: 3

Will this position accept substitution in lieu of education or experience: No

Work Schedule: Monday-Friday 8:30 am - 5:00 pm

Work Arrangement: Hybrid: Combination of On-Campus and Remote work as determined by the department.

Hiring Range: $53,616.96 ---$71,489.04/yearly

Relocation_Offered: No

Visa Sponsorship Provided: No

Background Check: For position finalists, employment with the University will require successful completion of a background check

Child Protection Clearances: Not Applicable

Required Documents: Resume

Optional Documents: Not Applicable

PI287409355