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Biomedical Data Science Jobs (NOW HIRING)

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$72K - $80K/yr

Postdoctoral Research Fellowship Biomedical Data Science The Kontorovich Laboratory, Cardiovascular Research Institute and Center for Inherited Cardiovascular Diseases Icahn School of Medicine at ...

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How much do biomedical data science jobs pay per year?

As of Jun 12, 2026, the average yearly pay for biomedical data science in the United States is $111,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $157,500.00 per year, depending on experience, location, and employer.

What is the difference between Biomedical Data Science vs Bioinformatics?

AspectBiomedical Data ScienceBioinformatics
Required CredentialsDegree in Data Science, Biostatistics, or related fields; programming skillsDegree in Bioinformatics, Computational Biology, or related fields; programming skills
Work EnvironmentResearch labs, healthcare institutions, biotech companiesResearch labs, academic institutions, biotech firms
Industry UsageAnalyzing large biomedical datasets, developing predictive modelsAnalyzing biological data, genome sequencing, gene annotation
Search & Comparison IntentHigh overlap in data analysis, healthcare applicationsFocus on biological data interpretation

Biomedical Data Science and Bioinformatics share many skills and work environments, but they differ in focus. Biomedical Data Science emphasizes analyzing large datasets and developing predictive models in healthcare, while Bioinformatics concentrates on biological data analysis, such as genome sequencing. Both roles require programming skills and are vital in biomedical research, but their specific applications and industry terminology vary.

How does a Biomedical Data Scientist typically collaborate with clinicians and researchers on interdisciplinary projects?

Biomedical Data Scientists often work closely with clinicians, biologists, and other researchers to translate complex biomedical questions into data-driven solutions. This collaboration usually involves regular meetings to understand clinical needs, define project goals, and discuss data interpretation. Effective communication is key, as team members may have different expertise and perspectives. By collaborating, Biomedical Data Scientists help ensure that analytical methods and results are both rigorous and clinically relevant, ultimately contributing to impactful healthcare outcomes.

What careers fall under biomedical science?

Careers under biomedical science include roles such as biomedical researcher, clinical scientist, laboratory technician, bioinformatics analyst, and medical scientist. These positions often require knowledge of biology, chemistry, data analysis, and proficiency with laboratory or computational tools.

What does a biomedical data scientist do?

A biomedical data scientist analyzes complex biological and medical data to identify patterns and insights that can improve healthcare and research. They use statistical methods, machine learning, and programming tools like Python or R to interpret data from sources such as genomics, clinical trials, and electronic health records. Their work supports diagnostics, treatment development, and personalized medicine efforts.

How much do biomedical data scientists make in the US?

Biomedical data scientists in the US typically earn a median salary of around $90,000 to $110,000 per year, depending on experience, education, and location. Advanced skills in programming, statistical analysis, and knowledge of biomedical data are often required and can lead to higher compensation.

Is biomedical data science a good career?

Biomedical data science is a growing field that combines data analysis, machine learning, and biology to improve healthcare and medical research. It offers high demand for skilled professionals with expertise in programming, statistics, and domain knowledge, often requiring advanced degrees. The career provides opportunities in research institutions, healthcare companies, and biotech firms with competitive salaries and ongoing innovation.

What are the key skills and qualifications needed to thrive as a Biomedical Data Scientist, and why are they important?

To thrive as a Biomedical Data Scientist, you need a strong background in statistics, machine learning, programming (typically Python or R), and a solid understanding of biological or clinical data. Familiarity with bioinformatics tools, data visualization platforms, high-throughput sequencing technologies, and relevant certifications (such as in data science or bioinformatics) is commonly required. Strong problem-solving abilities, communication skills, and interdisciplinary collaboration help set top professionals apart in this field. These competencies are crucial for extracting meaningful insights from complex biomedical data, driving research innovation, and supporting evidence-based healthcare decisions.
More about Biomedical Data Science jobs
What cities are hiring for Biomedical Data Science jobs? Cities with the most Biomedical Data Science job openings:
What states have the most Biomedical Data Science jobs? States with the most job openings for Biomedical Data Science jobs include:
What job categories do people searching Biomedical Data Science jobs look for? The top searched job categories for Biomedical Data Science jobs are:
Biomedical Data Science jobs near you
Infographic showing various Biomedical Data Science job openings in the United States as of June 2026, with employment types broken down into 14% As Needed, 18% Full Time, 4% Part Time, 8% Temporary, 52% Contract, and 4% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $111,204 per year, or $53.5 per hour.
Assistant/Associate Professor of Translational Data Science & Artificial Intelligence

Assistant/Associate Professor of Translational Data Science & Artificial Intelligence

Oregon Health & Science University

Portland, OR • On-site

Other

Posted 11 days ago

Oregon Health & Science University rating

8.3

Company rating: 8.3 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

96th of 536 rated colleges and universities

Job description

Department Overview

The Division of Informatics, Clinical Epidemiology and Translational Data Science (DICE), one of 11 divisions in the OHSU Department of Medicine, is a national leader in biomedical informatics research and education. Faculty benefit from OHSU's highly collaborative environment, including access to a number of teams and resources related to innovation with and translation of AI, as well as the Advanced Computing Center. OHSU values a diverse and culturally competent workforce and is proud to be an equal opportunity, affirmative action organization.

**Open to various rank levels (Assistant, Associate, or Professor) dependent on experience**

Function/Duties of Position

The Division of Informatics, Clinical Epidemiology and Translational Data Science (DICE) at OHSU seeks a tenure-track faculty member to lead a research program at the intersection of Artificial Intelligence (AI), machine learning (ML), and translational science. The successful candidate will develop computational methods to bridge the gap between complex biomedical data and clinical bedside application, leveraging OHSU's extensive electronic health record (EHR) data, imaging repositories, and genomic datasets.

 

Key Responsibilities

Research & Scholarship (70%):

  • Establish and maintain an independently funded research program focused on translational AI (e.g., predictive clinical modeling, precision oncology, ambient intelligence, or bias mitigation in healthcare algorithms).
  • Collaborate with clinical partners in the Knight Cancer Institute, Oregon Clinical and Translational Research Institute (OCTRI), the Center for AI-Enabled Learning Health Science (CAILS) and others to validate and implement AI tools in real-world settings.
  • Publish high-impact findings in peer-reviewed journals and present at national/international conferences.

Education & Mentoring (20%):

  • Teach graduate-level courses in the Biomedical Informatics Graduate Program (e.g., Applied Machine Learning, Health Data Analytics).
  • Mentor MS/PhD students, postdoctoral fellows, and clinical informatics fellows, fostering their development as independent scientists.

Service & Leadership (10%):

  • Participate in departmental committees and OHSU-wide governance regarding ethical AI usage and data science infrastructure.
  • Contribute to grant review panels and professional societies.
  •  
Required Qualifications
  • PhD, MD/PhD, or equivalent in Biomedical Informatics, Computer Science, Data Science, Statistics, or a related field.
  • Demonstrated expertise in applying machine learning/deep learning to biomedical problems (e.g., NLP or EHR, computer vision for pathology/radiology, or multi-omics integration). 
  • Track record of scholarly productivity (publications) and potential for securing external fudning (e.g., NIH, NSF, PCORI)
  • Proficiency in Python, R, SQL, and experience with high-performance computing environments
Preferred Qualifications
  • Experience with implementation science or deploying algorithmic tools into clinical workflows
  • Previous success securing K-awards or R-level grant funding
  • Familiarity with federated learning or privacy-preserving computation
Why apply to OHSU?We are Oregon's only public academic health center. In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington. All are welcome. OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply. To request reasonable accommodation, contact askhr@ohsu.eduEmployment Type: OTHER

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About Oregon Health & Science University

Sourced by ZipRecruiter

Oregon Health & Science University (OHSU) is a distinguished institution under the industry of higher education and healthcare, specifically in the field of medical science. Based in Portland, Oregon, US, it maintains a reputation for promoting research, teaching, patient care, and outreach. Established in 1887, OHSU has continually sought to redefine the parameters of healthcare delivery and biomedical discovery through its expansive catalog of programs and initiatives. A galvanizing mission drives OHSU: to improve the health and quality of life for all Oregonians through excellence, innovation, and leadership in health care, education, and research.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Portland, OR, US

Year founded

1887

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