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Masters In Computational Biology Jobs in Michigan

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Masters In Computational Biology information

What are the key skills and qualifications needed to thrive with a master's in computational biology?

To thrive with a Master's in Computational Biology, you need a strong background in biology, statistics, and computer science, typically supported by an advanced degree in the field. Familiarity with programming languages like Python or R, experience with bioinformatics tools, and knowledge of statistical analysis systems are essential. Critical thinking, problem-solving, and effective communication are key soft skills that help in interdisciplinary collaboration. These skills are crucial for analyzing complex biological data, developing innovative solutions, and advancing research in biotechnology and healthcare.

What career advancement opportunities are available to professionals with a master's in computational biology?

With a Master's in Computational Biology, professionals can pursue a range of advancement opportunities in both academia and industry. Many start in roles such as research associate, data analyst, or bioinformatics scientist, and can progress to lead research projects, manage interdisciplinary teams, or transition into specialized roles in pharmaceuticals, biotechnology, or healthcare. Further career growth is possible through continued education, such as pursuing a PhD, or by gaining experience in project management, software development, or scientific leadership. Networking and staying current with technological advancements are key to maximizing career prospects in this dynamic field.

What is a masters in computational biology?

A Masters in Computational Biology is a graduate degree program that focuses on the use of computational and mathematical techniques to analyze and interpret biological data. Students in this program learn to apply computer science, statistics, and biology to solve complex problems in genomics, drug discovery, and systems biology. Graduates are prepared for careers in research, biotechnology, pharmaceuticals, and academia, or for further study in doctoral programs.

What is the difference between Masters In Computational Biology vs Bioinformatics Specialist?

AspectMasters In Computational BiologyBioinformatics Specialist
Required CredentialsMaster's degree in computational biology, bioinformatics, or related fieldBachelor's or master's in bioinformatics, computer science, or biology
Work EnvironmentResearch labs, academia, biotech companiesHealthcare, biotech, research institutions
Industry UsageAcademic research, biotech R&D, pharmaceutical companiesData analysis, software development, genome analysis

Masters In Computational Biology focuses on integrating biology and computational methods for research and development, while Bioinformatics Specialists often apply these skills in data analysis and software development within healthcare and biotech industries. Both roles require strong computational skills, but the Masters program emphasizes research and theoretical knowledge, whereas the specialist role is more application-oriented.

What cities in Michigan are hiring for Masters In Computational Biology jobs? Cities in Michigan with the most Masters In Computational Biology job openings:

Postdoctoral Research Fellow - Multiomics and Causal Inference

University of Michigan

Ann Arbor, MI • On-site

$47K - $65K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 17 days ago


University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

160th of 617 rated colleges and universities


Job description

Who We Are
We, the staff and faculty of the U-M Cardiovascular Center (CVC) team, are committed to advancing medicine and serving humanity through living and teaching our core values of Respect and Compassion; Collaboration; Innovation; and Commitment to Excellence. Each CVC employee is expected to understand and demonstrate that in every interaction we represent our entire organization in the care we provide and in the courtesies we extend to patients, families, and each respective team member. The CVC is dedicated to partnering with patients and families to deliver the safest and highest quality of health care.
The Division of Cardiovascular Medicine is firmly committed to advancing inclusion, diversity, equity, accessibility, and belonging, which are core to the culture and values of the Medical School Office of Research. Our community supports recruiting and cultivating a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan and the world. We strive to create a work culture where each team member feels respected, valued, and safe.
Mission Statement
Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.
Job Summary
The Division of Cardiovascular Medicine at the University of Michigan is expanding a nationally and internationally funded research program at the cutting edge of cardiovascular medicine. Led by Drs. Venkatesh Murthy and Sascha Goonewardena - whose work has appeared in leading journals including NEJM AI, JAMA, and Circulation - the program fuses artificial intelligence, advanced cardiac imaging, multiomics (proteomics, metabolomics, and genomics), and cardiometabolic disease biology to develop precision diagnostics and identify novel therapeutic approaches, with a particular focus on coronary microvascular disease and other cardiovascular conditions that disproportionately affect women and remain poorly served by existing diagnostic tools. This is a rare opportunity to join a high-impact, well-funded program doing science that matters.
This postdoctoral position offers an exceptional opportunity for a highly motivated researcher to lead the hypothesis-driven discovery work of the program's omics and causal inference work streams, under the primary supervision of Dr. Murthy, with close collaboration with Dr. Goonewardena and a broad network of national and international research partners. The fellow will lead multi-omic analyses using pipelines built by the program's computational team, drive causal inference studies in biobank-scale datasets, and translate findings into first-author publications. This role emphasizes scientific leadership, discovery, and manuscript development. Appointments are made on an annual basis and are renewable, with a maximum total duration of three years, contingent on satisfactory performance and continued funding.
Responsibilities*
  • Develop and apply analytical pipelines integrating high-throughput proteomic data with metabolomic, genomic, and clinical datasets from large prospective cohort studies to identify biological signatures of coronary microvascular disease and cardiometabolic disease
  • Perform causal and genetic inference analyses - including Mendelian randomization and mediation analysis - in biobank-scale datasets
  • Prepare first-author manuscripts for peer-reviewed journals and present work at national and international scientific meetings
  • Contribute to grant applications, progress reports, and preliminary data generation for future funding
  • Participate in laboratory meetings, journal clubs, and collaborative program activities
  • Contribute to mentoring of junior trainees
  • Other duties as assigned

Required Qualifications*
  • Doctoral degree (PhD, MD/PhD, or MD) in computational biology, bioinformatics, biostatistics, cardiovascular biology, epidemiology, or a closely related field
  • Experience with proteomic, metabolomic, or other omic data analysis in a research context
  • Proficiency in R and/or Python for statistical analysis and pipeline development
  • Familiarity with causal inference or genetic epidemiology methods (e.g., Mendelian randomization, mediation analysis)
  • Strong scientific writing and oral communication skills
  • Demonstrated ability to drive projects to completion independently

Desired Qualifications*
  • Experience with large prospective cohort or biobank datasets (CARDIA, MESA, Framingham Heart Study, UK Biobank, or similar)
  • Experience with high-throughput proteomic platforms (Olink or SomaScan)
  • Background in cardiovascular biology, vascular biology, or cardiometabolic disease
  • Track record of peer-reviewed publications relative to career stage
  • Experience with multi-omic data integration
  • Familiarity with HPC or cloud computing environments

Why Join Michigan Medicine?
Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world's most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.
What Benefits can you Look Forward to?
  • Excellent medical, dental and vision coverage effective on your very first day
  • 2:1 Match on retirement savings

Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes .
Work Schedule
Monday through Firday, standard business hours.
Work Locations
This is an onsite position.
Background Screening
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.
Application Deadline
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has ended.
U-M EEO Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.
Job Detail
Job Opening ID
280575
Working Title
Postdoctoral Research Fellow - Multiomics and Causal Inference
Job Title
RESEARCH FELLOW
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Onsite
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
Medical School
Department
MM Int Med-Cardiology
Posting Begin/End Date
7/24/2026 - 8/21/2026
Career Interest
Research Fellows

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About University of Michigan

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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