1

Biomedical Data Science Jobs (NOW HIRING)

... and data science applications to research centers and healthcare organizations nationally and ... With experts in biomedical science, software engineering, and program management, we focus on ...

Postdoctoral Fellow

Nashville, TN ยท On-site

$47K - $64K/yr

D. in Bioinformatics, Computational Biology, Computer Science, Data Science, Statistics, Genomics, Biomedical Informatics, or a related quantitative discipline. Education and Experience Preferred:

Postdoctoral Fellow

Campus, IL

$47K - $64K/yr

D. in Bioinformatics, Computational Biology, Computer Science, Data Science, Statistics, Genomics, Biomedical Informatics, or a related quantitative discipline. Education and Experience Preferred:

Showing results 21-40

Biomedical Data Science information

What are the key skills and qualifications needed to thrive as a biomedical data scientist?

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.

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 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.

Can you become a biomedical data scientist with a biomedical science degree?

A biomedical data scientist typically has a background in biomedical science combined with skills in data analysis, programming, and statistics. While a biomedical science degree provides a strong foundation, additional training in programming languages like Python or R and experience with data management are often necessary to qualify for such roles.

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 data visualization tools to interpret data from sources like electronic health records, genomic sequences, and clinical trials, often working in interdisciplinary teams and requiring programming skills in languages such as Python or R.
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:

Infographic showing various Biomedical Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Assistant/Associate Professor - Biostatistics & Data Science (AI Focus)

University of Kansas Medical Center

Kansas City, KS โ€ข On-site

$110 - $170/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Department: SOM Department of Biostatistics ----- Faculty Position Title: Assistant/Associate Professor - Biostatistics & Data Science (AI Focus) Job Family Group: Academic

Job Description Summary

The Department of Biostatistics & Data Science at the University of Kansas Medical Center (KUMC) is partnering with The University of Kansas Cancer Center (KUCC) to invite applications for a tenure-track faculty position in Statistical Artificial Intelligence (AI) and Biomedical Data Science. The incumbent will establish and maintain external funding while collaborating with investigators across KUMC's nationally recognized research centers and institutes. The incumbent will join a collaborative department with internationally recognized expertise in biostatistics, statistical omics, bioinformatics, Bayesian methodology, clinical trials, and data science, and will have opportunities to collaborate with investigators across the University of Kansas Cancer Center, Kansas Institute for Precision Medicine, Frontiers Clinical and Translational Science Institute, the Alzheimer's Disease Research Center and the newly established Enhanced Artificial Intelligence Center for Human-Focused Research. In addition to developing an innovative research program, the faculty member will contribute to the Department's educational mission through excellence in teaching and mentoring graduate students in biostatistics, data science, and related disciplines.

Job Duties
  • Develop and maintain external funding in statistical artificial intelligence and biomedical data science.
  • Develop novel statistical and AI methodologies motivated by important biomedical problems.
  • Collaborate with KUCC investigators, as well as investigators across KUMCโ€™s research centers and institutes.
  • Teach graduate courses in biostatistics, statistics, artificial intelligence, machine learning, and data science.
  • Participate in the mentoring of graduate students, postdoctoral fellows, and staff.
  • Participate in departmental, institutional, and professional service activities.
  • Contribute to strategic initiatives involving the Enhanced Artificial Intelligence Center for Human-Focused Research and other interdisciplinary programs across KUMC.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice.

Required Qualifications

Education: PhD in Biomedical Informatics, Computer Science, Biostatistics, Statistics, Data Science, or related field. This position requires a formal degree in the cited discipline area(s) to ensure that candidates have the foundational knowledge and skill set required to perform the duties of the position. The level of degree is based on accreditation requirements, institutional standards of academic and professional excellence, alignment with peer institution benchmarks, and contributes to the credibility and effectiveness of the role within the university community.

Work Experience
  • Experience with artificial intelligence, machine learning, or statistical learning.
  • Experience developing or applying statistically principled AI methodologies.
  • Experience with interdisciplinary collaboration in biomedical research.
Preferred QualificationsWork Experience
  • Teaching experience in statistics, biostatistics, machine learning, artificial intelligence, or data science.
  • Research collaboration experience in cancer, obesity/ metabolic disease, or precision medicine.
  • Experience with one or more of the following: medical image analysis, computational pathology, multi-omics integration, electronic health record analysis, Spatial 'omics, Reinforcement learning for healthcare, explainable AI, machine/deep learning, Bayesian machine learning, or causal AI.
Skills

Communication skills Required Documents Resume/CV Cover Letter

If selected as a final candidate for this position, you may be required to complete the Association of American of Universities Representations and Warranties document and sign a release of records that will allow the University of Kansas Medical Center to conduct a further background check with former employers. A copy of the Representations and Warranties document can be found here.

Comprehensive Benefits Package
  • Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan.
  • Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available.
  • Paid time off, including vacation and sick, begins accruing upon hire, plus ten paid holidays.
  • One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment.
  • A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available.

Employee Type: Regular Time Type: Full time

Mission

The mission of the University of Kansas Medical Center is to improve lives and communities in Kansas and beyond through innovation in education, research, and health care.

Equal Opportunity

The University of Kansas Medical Center is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, gender expression, national origin, ethnicity, ancestry, age, protected veteran or disability status, marital status, parental status, or genetic information.

http://policy.ku.edu/IOA/nondiscrimination https://kumc-publicpoliciesandprocedures.policystat.com/policy/8446235/latest/ Under Kansas state law, certain KUMC positions are subject to disability preference. For positions subject to this requirement, KUMC will offer an interview to a person who has applied for an open position who is qualified, with or without reasonable accommodation, to meet the performance standards of the position and who has presented acceptable proof of disability. If the position you apply for is subject to the disability preference requirement, you will be asked to provide information in support of your request for disability preference when you complete the application for employment.

https://civilrights.ku.edu/annual-security-and-fire-safety-report https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf https://www.laborposters.org/federal/1606-federal-pay-transparency-poster.htm

#J-18808-Ljbffr