Post-Doctoral Associate in AI Genetics

Post-Doctoral Associate in AI for Genetics

The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking applications for up to two full-time Post-Doctoral Associate (9546 Post-Doctoral Associate) position. For more info on the division, visit http://(Use the "Apply for this Job" box below)..

The School of Public Health (SPH) is committed to equity in our mission and operations. In pursuit of this goal, we consider an individual’s record working with students and colleagues from historically marginalized backgrounds and experience identifying and eliminating systemic barriers to academic success. Because the SPH and the Division seek to increase the diversity of its faculty and staff, we particularly encourage applications from those who belong to groups that have been historically underrepresented in our discipline, including those who are Black, Indigenous, and people of color, those with disabilities, those who are first generation, veterans, and those from 2

SLGBTQIA+ communities.

The Post-Doc will work with Dr. Wei Pan ( or http:///~weip/), and his collaborators in or outside the University of Minnesota. This position places you at the forefront of the transformative AI for Science, with a particular focus on developing, implementing and fine‑tuning DNA sequence/genomic/omic large language models (gLLMs) with their applications to genetics, e.g. in identifying causal genes for Alzheimer’s disease (AD).

You will have access to state‑of‑the‑art computational infrastructure such as A100 and H100 GPUs, combined with pre‑processed large‑scale biobank data such as UK Biobank and ADSP, enabling you to work at the scale required for breakthrough research. The role offers exceptional opportunities for professional development, including learning the latest advancements in large language models, translating these innovations to genomic applications, and leading manuscript preparation for high‑impact journals.

Additionally, you will receive mentorship and support in developing and launching your own independent research career.

Our group has been fortunate in the last 20+ years securing NIH funding with former members having successfully transitioned to faculty or industrial leadership positions at leading institutions/companies across the United States. This position provides a clear trajectory toward establishing yourself as a leader in this rapidly emerging field, with strong preparation for successful academic or industry research careers.

Duration:
This appointment is for 1 year, may be extended for a second and/or third year depending on satisfactory performance and funding availability.

Starting Date:
Negotiable. Position will remain open until filled.

Annual Salary:
Based on NIH NRSA postdoctoral stipend levels.
â— Postdoc No

Experience:

$62,232
â— Postdoc 1 year of

Experience:

$62,652
â— Postdoc 2 years of

Experience:

$63,120

Work Arrangements:
The University of Minnesota endorses a âœWork. With Flexibility. â and we offer a flexible work environment that meets the needs of our students, faculty, staff, and partners we serve. Work arrangements will be discussed during the interview. Onsite location:
University Office Plaza, 2221 University Ave SE, Minneapolis, Twin Cities Campus - East-bank. The successful candidate is expected to have access to a reliable internet connection for duties undertaken remotely.

Required Qualifications:

• A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possess STRONG computing/programming and communication skills.
• Essential qualifications include the ability to quickly learn new things and work independently, open minded, along with previous research experience in at least one of the following areas:
• 1) statistical genetics/genomics/omics, or
  2) deep learning/AI. Most importantly, we value candidates who demonstrate both the ability and drive to rapidly learn and implement recent advances in AI.