University of Minnesota
Temporary Post-Doctoral Associate (Stats Genetics/Omics)
University of Minnesota, Saint Paul, Minnesota, United States, 55199
Post‑Doctoral Associate – Biostatistics & Health Data Science
Job ID: 371397
Location: Twin Cities
Full/Part Time: Full‑Time
Regular/Temporary: Regular
About the Job The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking applications for up to 1–2 temporary (through August 2026) full‑time Post‑Doctoral Associate positions. For more information on the division, visit
http://www.sph.umn.edu/academics/divisions/biostatistics/ .
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. The research will focus on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic data, as in Mendelian randomization and TWAS. In addition to new methods development and evaluations, the job responsibilities include software development (mostly in R, or in Python/TensorFlow/Keras/PyTorch for deep learning), possibly theory development, simulation studies, real data analysis, and writing manuscripts.
Duration:
This appointment is temporary through August 2026 but may be extended for a second 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. • Postdoc No Experience: $62,232 • Postdoc 1 year of Experience: $62,652 • Postdoc 2 years of Experience: $63,120
Work Arrangements:
The University of Minnesota endorses a “Work. With Flexibility.” and we offer a flexible work environment that meets the needs of our students, faculty, staff, and partners we serve. This position will have a hybrid work option with a preferred 3 days onsite during core business hours. The selected candidate will be provided University‑configured equipment and supportive technology tools, however, they are expected to have access to a reliable internet connection for duties undertaken remotely. Work arrangements will be discussed during the interview.
Onsite Location:
University Office Plaza, 2221 University Ave SE, Minneapolis, Twin Cities Campus – East‑bank.
Sponsorship:
This position is not eligible for H‑1B visa sponsorship.
Qualifications Required Qualifications:
A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possesses strong interest in genetics/biomedical applications, and strong computing/programming and communication skills.
Essential qualifications include the ability to quickly learn new things and work independently, along with previous research experience in at least one of the following areas:
Statistical genetics/genomics/omics
Deep/machine learning
Pay and Benefits Pay Range:
$62,232 – $65,000 based on NIH stipend levels; depending on education/qualifications/experience.
Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.
Competitive wages, paid holidays, and generous time off
Continuous learning opportunities through professional training
Medical, dental, and pharmacy plans
Healthcare and dependent care flexible spending accounts
University HSA contributions
Disability and life insurance
Employee wellbeing program
Financial counseling services
Employee Assistance Program with eight sessions of counseling at no cost
How to Apply Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will have the opportunity to complete an online application for the position and attach a cover letter and resume. Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.
Required: CV
This position will remain open until filled.
To request an accommodation during the application process, please e‑mail employ@umn.edu or call (612) 624‑8647.
Diversity The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu
Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
About the U of M The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world‑renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).
#J-18808-Ljbffr
Location: Twin Cities
Full/Part Time: Full‑Time
Regular/Temporary: Regular
About the Job The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking applications for up to 1–2 temporary (through August 2026) full‑time Post‑Doctoral Associate positions. For more information on the division, visit
http://www.sph.umn.edu/academics/divisions/biostatistics/ .
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. The research will focus on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic data, as in Mendelian randomization and TWAS. In addition to new methods development and evaluations, the job responsibilities include software development (mostly in R, or in Python/TensorFlow/Keras/PyTorch for deep learning), possibly theory development, simulation studies, real data analysis, and writing manuscripts.
Duration:
This appointment is temporary through August 2026 but may be extended for a second 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. • Postdoc No Experience: $62,232 • Postdoc 1 year of Experience: $62,652 • Postdoc 2 years of Experience: $63,120
Work Arrangements:
The University of Minnesota endorses a “Work. With Flexibility.” and we offer a flexible work environment that meets the needs of our students, faculty, staff, and partners we serve. This position will have a hybrid work option with a preferred 3 days onsite during core business hours. The selected candidate will be provided University‑configured equipment and supportive technology tools, however, they are expected to have access to a reliable internet connection for duties undertaken remotely. Work arrangements will be discussed during the interview.
Onsite Location:
University Office Plaza, 2221 University Ave SE, Minneapolis, Twin Cities Campus – East‑bank.
Sponsorship:
This position is not eligible for H‑1B visa sponsorship.
Qualifications Required Qualifications:
A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possesses strong interest in genetics/biomedical applications, and strong computing/programming and communication skills.
Essential qualifications include the ability to quickly learn new things and work independently, along with previous research experience in at least one of the following areas:
Statistical genetics/genomics/omics
Deep/machine learning
Pay and Benefits Pay Range:
$62,232 – $65,000 based on NIH stipend levels; depending on education/qualifications/experience.
Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.
Competitive wages, paid holidays, and generous time off
Continuous learning opportunities through professional training
Medical, dental, and pharmacy plans
Healthcare and dependent care flexible spending accounts
University HSA contributions
Disability and life insurance
Employee wellbeing program
Financial counseling services
Employee Assistance Program with eight sessions of counseling at no cost
How to Apply Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will have the opportunity to complete an online application for the position and attach a cover letter and resume. Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.
Required: CV
This position will remain open until filled.
To request an accommodation during the application process, please e‑mail employ@umn.edu or call (612) 624‑8647.
Diversity The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu
Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
About the U of M The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world‑renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).
#J-18808-Ljbffr