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
PhD in the life sciences or a related field and postdoc or work experience in genomics.

Demonstrated excellence with oral and written scientific communication as evidenced by application materials.

Demonstrated excellence in scientific research as evidenced by publications and preprints, fellowships, etc.

Demonstrated excellence in computational genomics as evidenced by publications and research experience.

Demonstrated experience with computing languages (e.g. Python) and applications (e.g. High Performance Computing clusters) as evidenced by application materials.

Demonstrated commitment to diversity, equity, inclusion and belonging as evidenced by application materials.

Preferred Qualifications
N/A

Contact Information to Applicants
Dr. Stuart Macdonald
sjmac@ku.edu

Additional Candidate Instruction
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.

Advertised Salary Range: $90,000-$110,000

Application Review Begins: 05-Jun-2023

Anticipated Start Date: 01-Sep-2023

Primary Campus: University of Kansas Lawrence Campus

FTE: 1.0

Reg/Temp: Regular

FLSA Status: Professional

Employee Class: U-Unclassified Professional Staff

Work Schedule: 40 hours/week

Job Family: Research-KUL

Conditions of Employment: Contingent on Funding

Work Location Assignment: On-Site

Disclaimer
The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Associate Vice Chancellor for the Office of Civil Rights & Title IX, civilrights@ku.edu, Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses).