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.

Essential functions (job duties):

Support the design and implementation of clinical research protocols involving human subjects. Recruit and screen study participants through approved methods, including outreach, surveys, and interviews. Conduct study visits and collect clinical and research data in compliance with Institutional Review Board (IRB), regulatory, and protocol requirements. Communicate regularly with the Principal Investigator and research team regarding study progress and participant status.

Collect, enter, and maintain accurate clinical and research data, including outcomes, surveys, and case report forms. Monitor data quality and completeness. Perform preliminary data analysis and generate graphs, charts, and tables to summarize results in accordance with study protocols. Proofread and verify research data and documentation for accuracy.

Prepare and assist with presentations of research findings for professional, scientific, and academic conferences. Organize and summarize study results for submission to peer-reviewed journals. Assist in drafting, fact checking, editing, and proofreading scientific manuscripts, study reports, and regulatory documents.

Maintain organized research records and study files in accordance with regulatory and institutional requirements. Coordinate study materials and supplies, and support documentation for audits, monitoring visits, and regulatory submissions. Ensure work spaces remain organized and compliant with confidentiality and data security standards.

Perform other related duties as assigned.

Unique duties:

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.

Qualifications:

Education:

Bachelor's degree

Bachelor's degree from an accredited college or university in public health, psychology, social sciences, nursing, biology, or related fields.

Requires advanced knowledge, predominantly intellectual in character, in a field of science or learning acquired by a prolonged course of specialized intellectual instruction.

Experience:

Intermediate (3 to 4 years job-related experience)

Experience conducting clinical or human subjects research is preferred.

Experience with participant recruitment, informed consent, data collection, and maintenance of regulatory documentation is preferred.

Knowledge, Skills and Abilities:

Ability to work independently and manage multiple clinical research activities while adhering to study protocols, regulatory requirements, and timelines. Ability to analyze, summarize, and interpret clinical research data and communicate findings effectively in reports and presentations.…