Post-Doctoral Associate - Computational Health Sciences Division
Company: University of Minnesota
Location: Minneapolis
Posted on: April 24, 2024
|
|
Job Description:
Apply for JobJob ID360487
LocationTwin Cities
Job FamilyAcademic
Full/Part TimeFull-Time
Regular/TemporaryRegular
Job Code9546
Employee ClassAcad Prof and Admin
Add to Favorite JobsEmail this Job
About the Job
Overview
Department of Surgery (DOS, https://med.umn.edu/surgery) at the
University of Minnesota is seeking two postdoctoral research
associates to join a team working on
multiple research projects in the field of health data science,
artificial intelligence and natural language process, computer
vision in the Division of Health Data Science (HDS)
at the DOS. The position is an annually renewable professional
academic appointment.
Duties/Responsibilities:
* Risk predictive model for clinical outcomes
*casual representation learning for real-world data
* deep learning interpretation, fairness and robustness
*Regularly conduct computational experiments to execute algorithms
on various
health and biomedical informatics projects
* Assist with new project development including literature review,
study design.
* Work under general supervision but usually is given the latitude
to make decision
on projects that s/he is accountable for delivering on; decisions
may involve an
approach from among alternatives, determining how to best use
available
resources
* Design and/or implement AI methods, summarize findings, and
generate study
results for research topics
* Write, edit or critique technical reports and/or publications
describing research
results to sponsors or funders of the research,
* Communicate and present analytical results to researchers,
faculty, and other
academic professionals in associated fields of expertise (spoken
presentations,
poster or written work summaries for display, panels, and other
formats).
Qualifications
Required Qualifications:
* A Ph.D. degree in Biomedical/Health Informatics, Computer
Science, Information
Science, Computational Linguistics, Data Science, Artificial
Intelligence, or a
related technical field.
* Strong programming skills in Python, Java, etc.
* Expertise in machine learning, neural networks, and deep
learning
* Excellent writing and communication skills
* Highly motivated, ability to identify potential problems and
develop solutions.
* Ability to function well in a fast-paced research environment,
set priorities to
accomplish multiple tasks within deadlines, and adapt to ever
changing needs
Preferred Qualifications:
* Research experience in natural language processing on biomedical
and/or
clinical texts, computer vision on medical images, causal
inference, predictive
modeling on longitudinal data.
* Expertise in transformers, reinforcement learning, transfer
learning
* Experience with leading projects within a research team
* Working knowledge of modern web service and/or software
implementation
* Ability to work collaboratively with a diverse group of research
scientists with
About the Department
About the Program
Division of Health Data Science in DOS is a newly created division
which focuses on development of novel data science methods to
analyze biomedical big data for
advancing health care. The Natural Language Processing /
Information Extraction (NLP/IE) Program
(https://healthinformatics.umn.edu/natural-language-processing) at
the Institute for Health informatics is a team of investigators,
postdoctoral researchers, programmers, and students who work
together on NLP for a variety of clinical and biomedical
tasks.About the DepartmentCommitted 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. To learn
more about the Department of Surgery, please visit:
Benefits
Working at the UniversityAt the University of Minnesota, you'll
find a flexible work environment and supportive colleagues who are
interested in lifelong learning. We prioritize work-life balance,
allowing you to invest in the future of your career and in your
life outside of work.The University also offers a comprehensive
benefits package that includes:
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 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.
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:
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).
Keywords: University of Minnesota, Coon Rapids , Post-Doctoral Associate - Computational Health Sciences Division, Healthcare , Minneapolis, Minnesota
Click
here to apply!
|