Post-Doctoral Associate in AI for Genetics

Scholarshipdb; Minneapolis (MN); On-site; USD 62,000 - 64,000; Full time

Job summary

A leading university seeks motivated candidates for a Post-Doctoral Associate position specializing in AI applications for genetics research. The role offers the opportunity to work with cutting-edge technology on significant projects addressing genetic foundations of diseases. Candidates will benefit from mentorship and professional development aimed at fostering independent research careers.

Benefits

Exceptional professional development opportunities

Access to state-of-the-art computational resources

Qualifications

• Previous research experience in statistical genetics, genomics, or deep learning/AI.
• Candidate must demonstrate ability and drive to learn and implement recent advances in AI.

Responsibilities

• Develop, implement, and fine-tune gLLMs for genetics research.
• Work with computational infrastructure to process large-scale data for research.
• Mentorship for independent research career development.

Skills

Strong computing/programming skills

Communication skills

Ability to quickly learn new technologies

Education

PhD degree in Biostatistics, Statistics, Computer Science or a related field

Job description

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://www.sph.umn.edu/academics/divisions/biostatistics/.

The School of Public Health (SPH) is committed to equity in our mission and operations. In pursuit of this goal, we consider an individualâs 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 2SLGBTQIA+ communities.

The Post-Doc will work with Dr. Wei Pan (https://directory.sph.umn.edu/bio/sph-a-z/wei-pan or http://www.biostat.umn.edu/~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 Alzheimerâs 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.

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About University of Minnesota Twin Cities
The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.
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