Associate Researcher Senior

Position Overview

The Kansas-INBRE and University of Kansas Research Rising in Genomics programs are jointly hiring a genomic data scientist. We are seeking a colleague to work with members of the life sciences community in Kansas at several levels. First, the researcher will conduct genomic analyses as a service (e.g., RNA-sequencing analysis for differential expression, SNP calling, genome assembly). Second, they will teach genomic analysis approaches to the community (mostly postdocs and graduate students) in informal sessions or workshops. No formal classroom teaching is expected. Finally, they will work with experienced researchers in the application of more sophisticated genomics analyses, and assist in the design and implementation of new software/algorithms. We anticipate the successful candidate will also have ample time to conduct their own research, and the position includes a modest budget to support that research.

Job Description

  • 50% - Collaborate with, and assist, KU and KINBRE-affiliated faculty, postdocs and students to facilitate and support their genomic research. Duties will include, but are not limited to conducting genomic analyses as a service (e.g. RNA-sequencing analysis for differential expression, SNP calling, Genome assembly).
  • 25% - Conduct training in genomic data analysis in the format of informal courses and/or workshops and one-on-one training. This training will involve teaching genomic analysis approaches to mostly graduate students and postdoctoral researchers.
  • 25% - Conduct independent and/or collaborative primary research on a genomics-related project using sophisticated genomics analyses, and/or the design and implementation of new software/algorithms using Python, R and other coding languages. Other duties as assigned.

Required Qualifications

  1. PhD in the life sciences or a related field and postdoc or work experience in genomics.
  2. Demonstrated excellence with oral and written scientific communication as evidenced by application materials.
  3. Demonstrated excellence in scientific research as evidenced by publications and preprints, fellowships, etc.
  4. Demonstrated excellence in computational genomics as evidenced by publications and research experience.
  5. Demonstrated experience with computing languages (e.g. Python) and applications (e.g. High Performance Computing clusters) as evidenced by application materials.
  6. Demonstrated commitment to diversity, equity, inclusion and belonging as evidenced by application materials.

Preferred Qualifications


Additional Candidate Instructions

A complete online application includes the following:
  • Cover letter that includes a discussion of both the applicant’s vision for training in genomic data science and competencies with scripting languages, high performance computing clusters and data management
  • Statement of research interests and how they would integrate with the current genomics community at KU. Specifically, The applicant is expected to outline a primary research project and they will accomplish the goals of that project at KU (collaborators, core labs, etc.)
  • Curriculum Vitae with complete background/history
  • Contact information for 3 professional references
Review of applications will begin on June 5th, 2023 and will continue until a qualified applicant pool has been identified.

Contact Information to Applicants

Dr. Stuart Macdonald

Advertised Salary Range


Work Schedule

40 hours/week

Application Review Begins

Monday June 5, 2023

Anticipated Start Date

Friday September 1, 2023

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Posting Information

  • Posting ID:  25152BR
  • Department:  Molecular Biosciences
  • Primary Campus:  University of Kansas Lawrence Campus
  • Assignment:  On-Site
  • Reg/Temp:  Regular
  • Employee Class:  U-Unclassified Professional Staff
  • Review Begins:  05-Jun-2023

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