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University of Minnesota – Post-doctoral Associate in AI for Genetics
Company Information: The University of Minnesota School of Public Health improves the health and wellbeing of populations and communities around the world by bringing innovative research, learning, and concrete actions to today’s biggest health challenges. SPH includes four academic divisions and 29 internationally recognized centers and is home to roughly 1,025 students, 130 tenured/tenure-track and contract faculty, and 450 staff. SPH is a research powerhouse: #1 level of research funding per capita at UMN, #3 largest research portfolio at the UMN, #2 NIH funding among UMN schools and colleges, and $1.1M average grant funding per faculty member. The school is ranked nationally by the U.S. News & World Report, #6 public school of public health, and offers more than 20 leading master’s, doctoral, and certificate programs. For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/.
Position Title: Post-doctoral Associate in AI for Genetics
Duties and Responsibilities: 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 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.
Position 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.
Salary Range: Based on NIH NRSA postdoctoral stipend levels.
Benefits:
Website:
Application Information: External applicants: https://hr.myu.umn.edu/jobs/ext/368882
Internal applicants: https://hr.myu.umn.edu/jobs/int/368882
Contact Email: panxx014@umn.edu
Application Deadline:
Company NameUniversity of Minnesota
Company Information
The University of Minnesota School of Public Health improves the health and wellbeing of populations and communities around the world by bringing innovative research, learning, and concrete actions to today’s biggest health challenges. SPH includes four academic divisions and 29 internationally recognized centers and is home to roughly 1,025 students, 130 tenured/tenure-track and contract faculty, and 450 staff. SPH is a research powerhouse: #1 level of research funding per capita at UMN, #3 largest research portfolio at the UMN, #2 NIH funding among UMN schools and colleges, and $1.1M average grant funding per faculty member. The school is ranked nationally by the U.S. News & World Report, #6 public school of public health, and offers more than 20 leading master’s, doctoral, and certificate programs. For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/.
Position TitlePost-doctoral Associate in AI for Genetics
Duties and Responsibilities
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 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.
Position 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.
Salary RangeBased on NIH NRSA postdoctoral stipend levels.
Application Instructions
External applicants: https://hr.myu.umn.edu/jobs/ext/368882
Internal applicants: https://hr.myu.umn.edu/jobs/int/368882