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Computational Medicine Jobs (NOW HIRING)

Description F ULL TIME RESEARCH SCHOLAR New York University Tandon School of Engineering The Computational Medicine Laboratory at NYU Tandon School of Engineering is seeking to hire a Full time ...

Computational Biologist

Chicago, IL ยท On-site

$60K - $80K/yr

  • Medical

  • Retirement

  • PTO

Department BSD MED - Genetic Medicine - Im Research Staff About the Department The Section of ... The Computational Biologist will contribute to the development and application of statistical and ...

Computational Biologist I

Boston, MA ยท Hybrid

$112K - $133K/yr

About the Job The Computational Biologist I contributes to the early innovation of novel ... Leveraging Foundation Medicine's FoundationCORE dataset of 800,000+ samples and the Flatiron Health ...

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How much do computational medicine jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for computational medicine in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is the difference between Computational Medicine vs Bioinformatics?

AspectComputational MedicineBioinformatics
Required CredentialsMaster's or PhD in biomedical, computational, or related fieldsMaster's or PhD in bioinformatics, computer science, or related fields
Work EnvironmentHospitals, research institutions, healthcare settingsResearch labs, biotech companies, academic institutions
Industry UsageHealthcare, clinical research, personalized medicineGenomics, molecular biology, data analysis
Common Search IntentUnderstanding clinical applications of computational methodsAnalyzing biological data and genetic information

Computational Medicine focuses on applying computational techniques to clinical and healthcare problems, often working within medical settings to improve patient outcomes. Bioinformatics primarily involves analyzing biological data, such as genetic sequences, in research or biotech environments. While both fields require advanced degrees and involve data analysis, Computational Medicine emphasizes clinical applications, whereas Bioinformatics centers on biological data analysis.

How does a computational medicine professional typically collaborate with clinicians and researchers in a healthcare setting?

Computational Medicine professionals frequently work as part of multidisciplinary teams, partnering closely with clinicians, biologists, and data scientists. They play a key role in translating complex biomedical data into actionable insights, often facilitating communication between technical and medical experts. Collaboration may involve developing predictive models, designing experiments, or integrating diverse data sources to support clinical decision-making. Regular meetings, joint problem-solving sessions, and shared project management tools are common practices to ensure alignment and foster innovation.

What jobs combine computer science and medicine?

Computational Medicine includes roles such as biomedical informaticians, bioinformatics analysts, and medical data scientists who develop algorithms, analyze healthcare data, and create models to improve patient care. These jobs often require skills in programming, statistics, and knowledge of biological systems, and may involve working with electronic health records, imaging, or genomic data.

What are the key skills and qualifications needed to thrive as a computational medicine professional, and why are they important?

To thrive in Computational Medicine, you need a strong background in biology, mathematics, statistics, and computer science, often supported by an advanced degree such as a PhD or MD/PhD. Proficiency with programming languages (such as Python or R), data analysis platforms, and bioinformatics tools is essential. Strong analytical thinking, collaboration, and communication skills help translate complex computational findings into actionable medical insights. These skills are crucial for advancing personalized medicine, developing predictive models, and improving patient outcomes through data-driven research.

What is computational medicine?

Computational medicine is an interdisciplinary field that uses mathematical models, computer simulations, and data analysis to understand, diagnose, and treat human diseases. By integrating data from biology, medicine, and engineering, computational medicine aims to improve patient outcomes through personalized medicine and predictive modeling. Professionals in this field work on developing algorithms and tools to analyze complex medical data, such as genomics, imaging, and electronic health records.
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What cities are hiring for Computational Medicine jobs?

Cities with the most Computational Medicine job openings:

What states have the most Computational Medicine jobs?

States with the most job openings for Computational Medicine jobs include:

Infographic showing various Computational Medicine job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 84% Full Time, 11% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Tenured or Tenure-Track Faculty Position, Fall 2026 - Computational Medicine, UT Austin

Oden Institute for Computational Engineering and Sciences

Austin, TX โ€ข On-site

Full-time

Re-posted 16 days ago


Job description

Description
The Oden Institute for Computational Engineering and Sciences and the Dell Medical School at The University of Texas at Austin have an opening for a tenured or tenure-track faculty position in Computational Medicine. We are particularly interested in recruiting a colleague whose research program combines mathematical, computational, and physical approaches to solving problems in medicine. Example areas include, but are not limited to, medical imaging, neurology, pediatrics, psychiatry, cardiovascular science, and oncology.
The Oden Institute (https://www.oden.utexas.edu/) is a unique interdisciplinary research and educational organization focused on transforming science, engineering, and medicine through the development and application of computation. Research programs at the Oden Institute are diverse and build upon the mathematical foundations for predictive science, data science, machine learning, and (in particular) physics-based modeling using state-of-the-art computing platforms. The Oden Institute also has strong partnerships with medical institutions across Texas, including MD Anderson Cancer Center, UT Southwestern Medical Center, the Texas Heart Institute, and Health Science Centers at Houston and San Antonio.
The Dell Medical School (https://dellmed.utexas.edu/) is the anchor of The University of Texas at Austin Medical Center. The medical center will feature a new, state-of-the-art hospital at the southern edge of UT Austin's campus. When combined with the Dell Medical School's established reputation for innovation in medical education and the world-renowned research base at UT Austin, the UT Austin Medical Center provides the setting to position Austin as a premier destination for healthcare. The successful candidate will have the unique opportunity to bridge an established research institute with a growing medical school and a new world-class medical center.
This position is open to applicants at all ranks: assistant, associate, and full professor, including the possibility of appointment as a chaired professor for candidates with exceptional qualifications. The candidate will be jointly appointed in the Oden Institute and the Dell Medical School. The successful candidate will have teaching duties in the Oden Institute's Computational Science, Engineering and Mathematics graduate program and will be expected to participate in training and mentoring of medical students, residents and fellows at Dell Medical School.
Qualifications
Candidates must have a Ph.D. degree in a quantitative science or engineering discipline, or an MD/Ph.D., with an outstanding record of research accomplishments, publications, and external funding commensurate with their academic stage. In addition, a track-record of innovative application of computational methods and/or AI/ML to medicine and health or medically relevant biological problems is highly desirable. The successful candidate must be qualified to teach graduate classes in the area of computational science, engineering and mathematics. More established candidates are also expected to have a successful record of mentoring leaders in computational medicine and a commitment to professional service. The successful applicant will be expected to develop an externally sponsored research program, mentor graduate students, collaborate with other faculty, and be involved in service to the university and profession.
Application Instructions
Interested applicants should submit the following materials: (1) a cover letter, (2) curriculum vitae, (3) research statement (max 4 pages), and (4) teaching statement (max 2 pages). Additionally, (5) candidates for an assistant or associate professor position must include three reference letters as part of their application packet. Candidates for full professor must provide a list of three reference names but will not submit reference letters.
Candidates should address their submission to the Computational Medicine Faculty Search Committee. Review of applications will continue until an appropriate candidate is identified.
The successful candidate will be required to complete an Employment Eligibility Verification form and provide documents to verify identity and eligibility to work in the USA. A security sensitive background check will be conducted on the applicant selected.
Please address questions to Professor Taylor (taylorca@utexas.edu) or Professor Yankeelov (thomas.yankeelov@utexas.edu), Computational Medicine Faculty Search Committee Co-Chairs. For application questions, contact Ruth Park (ruth.park@oden.utexas.edu).