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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 I

Boston, MA · 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 ...

... Computational Medicine , and Data Analytics . This position supports ongoing research aimed at developing predictive, diagnostic, and intervention models that advance healthcare delivery, improve ...

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Computational Medicine information

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$40

$54

$74

How much do computational medicine jobs pay per hour?

As of Jul 27, 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 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.
More about Computational Medicine jobs
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 July 2026, with employment types broken down into 15% Locum Tenens, 58% Full Time, 26% Part Time, and 1% Contract. Highlights an 65% Physical, 2% Hybrid, and 33% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.
Division Chief of Computational Medicine

Division Chief of Computational Medicine

Stanford Energy

Stanford, CA

$277K - $337K/yr

Other

Posted 13 days ago


Stanford University rating

7.8

Company rating: 7.8 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

225th of 612 rated colleges and universities


Job description

Division Chief of Computational Medicine

Apply now Work type: Non-Tenure Line (Research), University Medical Line, University Tenure Line
Location: Stanford University
Categories: School of Medicine

The Department of Medicine at the Stanford University School of Medicine is recruiting a Division Chief of Computational Medicine for an academic appointment as Associate Professor or Professor of Medicine in the University Medical Line, University Tenure Line, or Non-Tenured Line (Research) at Stanford University School of Medicine.  The Chief will provide strategic leadership, driving innovation in artificial intelligence and machine learning, computational modeling, and statistical methods, and their application to medical decision-making across the full spectrum of research and care-from understanding molecular mechanisms to improving patient outcomes. The Chief will lead the Division's research and educational missions, fostering a culture of scientific excellence, collaboration, and translational impact.

We seek a candidate who combines proven leadership with an outstanding record of academic accomplishment, a deep commitment to research and education, an understanding of the complexity of academic medicine, and the creative vision to help grow and maintain a premier Division of Computational Medicine. 

Candidates should be accomplished physician-investigators or scientists with national or international recognition and hold an MD, MD/PhD, or PhD (or equivalent).  The successful candidate should have the ability to harness AI to shape the future of computational modeling and statistical methods to understand, predict, and individualize medical decision-making across the spectrum from molecular mechanisms to clinical care. The Chief will recruit and mentor faculty to support both laboratory and clinical research, enhance fellowship and training opportunities, and capitalize on the abundant research resources and collaborative environment at Stanford. This is a unique opportunity to lead a dynamic, forward-looking Division at the forefront of biomedical discovery and translational impact. Both established and emerging leaders in the field are highly encouraged to apply.

The predominant criterion for appointment in the University Tenure Line is a major commitment to research and teaching. The major criteria for appointment in the University Medical Line are excellence in the overall mix of clinical care, clinical teaching, scholarly activity that advances clinical medicine, and institutional service appropriate to the programmatic need the individual is expected to fulfill. The predominant criterion for appointment in the Non-Tenure Line Research is high level of performance as a researcher for whose special knowledge a programmatic need exists. Faculty rank and line will be determined by the qualifications and experience of the successful candidate.

The university's central functions of research and education depend on freedom of thought, and expression. The Department of Medicine, School of Medicine, and Stanford University value faculty who will help foster an open and respectful academic environment for colleagues, students, and staff with a wide range of backgrounds, identities, and perspectives. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these values.

Interested candidates should upload their curriculum vitae, a cover letter outlining their achievements in mentoring, teaching, clinical care (if applicable), research, and describe their vision for computational medicine. In addition, submit the names of three references (who will not be contacted without prior consent) and complete the application at: division-chief-computational-med
Contact Cynthia Llanes, Faculty Affairs Manager for Recruitment at cllanes@stanford.edu for more information. Applications will be reviewed beginning April 1, 2026, and accepted until the position is filled.

The expected base pay range for this position is:

Associate Professor - $231,000 - $255,000
Full Professor - $277,000 - $337,000

This pay range reflects base pay, which is based on faculty rank and years in rank. It does not include all components of the School of Medicine's faculty compensation program or pay from participation in departmental incentive compensation programs. For more information about compensation and our wide-range of benefits, including housing assistance, please contact the hiring department.

 Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position upon hire. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years in rank, training, and field or discipline; internal equity; and external market pay for comparable jobs.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research, teaching and clinical missions.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact disability.access@stanford.edu.

Advertised: 13 Feb 2026 9:00 AM Pacific Standard Time
Applications close:

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