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Post Baccalaureate Research Assistant

University of Richmond
Posted a month ago, valid for 11 days
Salary

$21 per hour

Contract type

Full Time

Health Insurance

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Sonic Summary

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  • The Yang Lab at the University of Richmond is hiring a full-time post-baccalaureate research assistant for a two-year NSF-funded position, starting as soon as possible after the search, anticipated in Fall 2026.
  • The role focuses on developing and applying bioinformatic pipelines to study human genomic prehistory and offers opportunities for co-authorship on publications.
  • Candidates must have a Bachelor’s degree in biology or a related field, along with previous computing experience, such as proficiency in Python or a Linux environment.
  • The position pays $21.00 per hour and includes full-time benefits, such as health insurance.
  • This role is ideal for individuals planning to apply to PhD programs and requires a commitment to independent research.

Job Description

***For best consideration candidates must complete the online application and attach a resume and cover letter***

SUMMARY:

The Yang Lab at the University of Richmond (Richmond, VA) is seeking a full-time post-baccalaureate research assistant for a two-year NSF-funded position, start date as soon as possible following completion of the search (anticipated Fall 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.

This position offers $21.00 per hour with full-time benefits including health insurance.

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.

  • 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.

A complete application includes the following: (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, and (3) contact information for three professional references. Finalists will be asked to provide an unofficial transcript.

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

  • This position is a two year limited term role due to expire in 2028

  • Monday – Friday, 8:30 a.m. – 5:00 p.m.; 7.75 hrs./day, 38.75 hrs./week

SALARY STRUCTURE:

Pay Grade 3 - This position offers $21.00 per hour




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By applying, a University of Richmond account will be created for you. University of Richmond's Privacy Policy and Terms & Conditions will apply.

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