Research Associate, Population Sciences - Department of Oncology

Research Associate, Population Sciences
- Department of Oncology

Wayne State University is searching for an experienced Research Associate, Population Sciences
- Department of Oncology at its Detroit campus location.

Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.

We seek a full-time, entry-level Research Associate with a strong foundation in computational genomics and a keen interest in cancer and epidemiology.

This role offers the opportunity to contribute to various projects utilizing
-omic data (e.g., GWAS, sequencing, RNA-seq, ATAC-seq) and integrating publicly available datasets from All of Us, UK Biobank, and dbGaP. The focus will be on understanding susceptibility to and survival following hematologic malignancies. This position is an excellent opportunity for someone looking to strengthen their computational skills while developing deeper expertise in cancer genomics and epidemiology.

• Under the direction of the PI, design, execute, and interpret genetic studies using diverse quantitative and binary traits from large-scale cohorts.
• Collaborate with colleagues in various multi-PI research consortia, including presenting and discussing analysis results.
• Stay up to date with advances in human genetic analysis methods and be able to discuss these developments with both experts and non-experts.

- MS in Statistical Genetics, Human Genetics with Computational Biology, Quantitative Epidemiology, or a related field OR BS with 3+ years of work experience demonstrating an equivalent MS-level understanding of subject matter and skill set.

- Experience with data QC, analysis, and interpretation of human biological data. Prior experience in human genetics (single variant and gene-based association analysis using WES/WGS/array genotyping data) is ideal, but candidates with relevant experience in adjacent fields and a willingness to learn are encouraged to apply.

- Basic understanding of EHR data (e.g., UK Biobank, All of Us) and genomics databases (e.g., gnomAD, 1000 Genomes, TOPMed). Prior hands-on experience with these resources is preferred but not required.

- Proficiency in R required;
Python is also acceptable.

- Working knowledge of Unix/Linux and cloud computing environments.

- Strong interest in developing written and verbal communication skills for conveying analysis results to experts and non-experts.

- Some experience with peer-reviewed publications and/or conference presentations is preferred.

H06 - School of Medicine

H0632 - Oncology

• Regular Employee
• Job type:
  Full Time
• Job category:
  Research

• Compensation type:
  Annual Salary

Typical work environment may include office, clinical, community, and/or research settings. May require evening or weekend hours to accommodate study participants. May require local travel for recruitment, community engagement, or professional conferences.

• Number of openings: 1
• Reposted position:
  No
• Reposted reason:
  None (New Requisition)
• Prior posting/requisition number:

University policy requires certain persons who are offered employment to undergo a background check, including a criminal history check, before starting work. If you are offered employment, the university will inform you if a background check is required.