Post-Baccalaureate Research Assistant

UR University of Richmond

United States

On-site

USD 50,460,110 - 60,545,520

Full time

14 days+
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Job summary

The Yang Lab at the University of Richmond is seeking a full-time post-baccalaureate research assistant for a two-year NSF-funded position beginning August 1, 2026. The lab uses computational methods to study evolutionary genomics with a focus on human genomic prehistory and adaptations.

The successful candidate will develop and apply bioinformatic pipelines in high-performance computing environments, collaborate on publications, and mentor undergraduate students while pursuing independent

Qualifications

  • Required: Bachelor’s degree in biology or related field.
  • Experience with Python and/or Linux environments.
  • Effective written communication skills.
  • Preferred: Interest in human evolutionary genomics and computational genomics.

Responsibilities

  • Apply, develop, and improve computational pipelines for evolutionary genomics in HPC environments.
  • Develop, test, and edit protocols and websites used for Yang Lab research and teaching.
  • Mentor undergraduate students and assist with outreach activities.
  • Maintain accurate records of analyses and code using a lab notebook and version-controlled workflows.

Skills

Python
Linux
Written communication
Mentoring

Education

Bachelor's degree in biology

Tools

Git

Job description

The Yang Lab at the University of Richmond is seeking a full-time post-baccalaureate research assistant for a two-year NSF-funded position beginning August1,2026. The lab uses computational methods to study evolutionary genomics, with a focus on human genomic prehistory. The research assistant will develop and apply bioinformatic pipelines for studying genetic adaptation in modern humans, with opportunities for co‑authorship on publications. The position is designed for an individual planning to apply to PhD programs who wants substantial independent research beforehand.

Responsibilities
  • Apply, develop, and improve computational pipelines for studying evolutionary genomics in high-performance computing environments.
  • Develop, test, and edit protocols and websites used for Yang Lab associated research and teaching.
  • Perform general tasks that will advance Yang Lab-related research and outreach (e.g. mentoring undergraduate students, organizing summer workshops).
  • Keep accurate and detailed records of analyses and code using a lab notebook and version-controlled workflows.
Qualifications
  • Required: Bachelor’s degree in biology or a related field.
  • Previous experience with computing, e.g. experience with Python and/or a Linux environment.
  • Effective written communication skills as evidenced by application materials.
  • Preferred: Demonstrated interest in human evolutionary genomics and/or computational genomics.
  • Significant biological research experience ideally with computational elements, including troubleshooting and optimizing protocols.
  • Evidence of strong organizational skills, attention to detail, and independent work habits.
  • Strong ability to work in group situations, and to mentor others, particularly undergraduate students.
Application Requirements
  1. A cover letter outlining relevant experience and interest in the position with specific examples addressing the required and preferred qualifications.
  2. A CV/resume highlighting pertinent experience relative to the required and preferred qualifications.
  3. Contact information for three professional references.

Informal queries about the position are welcome and can be directed to Dr. Melinda A.Yang (myang@richmond.edu). Applications are reviewed on a rolling basis; early submission encouraged. Apply at http://jobs.richmond.edu.

Work Hours

Full-time, non-exempt position. Monday – Friday, 8:30a.m. – 5:00p.m.; 7.75hrs./day, 38.75hrs./week.

Salary Structure

Pay Grade3 (Hiring Range $17.61 to $21.13 per hour). This two‑year limited term role expires on July31,2028.

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