Post-Doctoral Associate - Division of Computational Health Sciences (CHS)

About the Job
Department of Surgery (DOS, https://med.umn.edu/surgery) at the University of Minnesota is seeking a postdoctoral research associate to join a team working on multiple research projects in the field of integrative -omics and biomarker discovery in the Division of Computational Health Sciences (CHS) at the DOS. The position is an annually renewable professional academic appointment.

About the Division
Division of Computational Health Sciences in DOS is a division which focuses on development of novel data science methods to analyze biomedical big data for advancing health care (https://med.umn.edu/surgery/divisions/computational-health-sciences).

Duties/Responsibilities:
* Conduct data analyses on various health and biomedical projects
* Assist with project development including literature review, study design and experiment conduction as needed
* Work independently on projects with general supervision
* Design and/or implement analytical methods, summarize findings, and generate study results for research topics
* Write, edit or critique technical reports and/or publications describing research results
* Communicate and present analytical results to researchers, faculty, and other academic professionals in associated fields of expertise (e.g. paper, poster, and/or oral presentations)

Required Qualifications:
* A Ph.D. degree in Bioinformatics, Computational Biology, Biomedical/Health Informatics, Computer Science, Biostatistics, Data Science, or a related technical field.
* Strong programming skills in Python, R, etc.
* Expertise in -omics analyses
* Excellent writing and communication skills
* Highly motivated, ability to identify potential problems and develop solutions.
* Able to work collaboratively with a diverse group of research scientists with different skill sets and expertise
* Able to adapt analytical tools to a variety of health-related scientific questions

Preferred Qualifications:
* Research experience in predictive modeling and/or longitudinal datasets
* Expertise in deep learning, reinforcement learning, transfer learning, data visualization
* Experience with mentoring trainees
* Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to changing needs
* Strong experience with peer-reviewed publications
* Familiarity with any of the following concepts: sepsis, critical illness, severe injury, inflammation, immunity, pancreatitis

Surgery is ranked 4th in the national based on its NIH funding in 2023. To learn more about the Department of Surgery and Division of Computational Health Sciences, please visit: https://med.umn.edu/surgery/divisions/computational-health-sciences

Committed to innovation and diversity, the Medical School educates physicians, scientists, and health professionals; generates knowledge and treatments; and cares for patients and communities with compassion and respect. We value excellence, inclusiveness, collaboration, and discovery.

Pay Range: $61,008 minimum; 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

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given 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.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

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

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.

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).