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Ms Biomedical Science information

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How much do ms biomedical science jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for ms biomedical science in Indiana is $27.14, according to ZipRecruiter salary data. Most workers in this role earn between $23.12 and $30.67 per hour, depending on experience, location, and employer.

What can I do with a BME master's degree job?

A Master’s in Biomedical Science prepares graduates for roles such as biomedical scientist, research associate, or laboratory technician, often involving work in clinical, research, or healthcare settings. These positions typically require knowledge of laboratory techniques, data analysis, and regulatory standards, and may involve working with medical devices, diagnostics, or tissue analysis.

Is it worth doing a master's in biomedical science?

A master's in biomedical science can enhance job prospects for biomedical scientists by providing advanced knowledge, research skills, and specialization. It may also lead to higher-level positions, research opportunities, and increased earning potential in the healthcare and research sectors.

What is the difference between Ms Biomedical Science vs BSc Biomedical Science?

AspectMs Biomedical ScienceBSc Biomedical Science
Required CredentialsMaster's degree in Biomedical Science or related fieldBachelor's degree in Biomedical Science
Work EnvironmentLaboratories, research facilities, hospitalsLaboratories, research centers, healthcare settings
Employer & Industry UsageResearch institutions, hospitals, biotech companiesUniversities, hospitals, diagnostic labs
Common Search & ComparisonHigher qualification, research roles, specializationEntry-level, undergraduate roles, foundational knowledge

The main difference between Ms Biomedical Science and BSc Biomedical Science lies in the level of education and career opportunities. An Ms Biomedical Science typically prepares individuals for advanced research, specialized roles, and higher-level positions, while a BSc Biomedical Science provides foundational knowledge suitable for entry-level roles in laboratories and healthcare settings.

Is a master's in BME worth it?

A master's in biomedical science can enhance qualifications for roles such as biomedical researcher or laboratory technician, often leading to higher-level positions and increased earning potential. It provides specialized knowledge and skills in areas like molecular biology and medical technology, which are valuable in healthcare and research environments.

What can I do with an MS in biomedical science?

An MS in biomedical science prepares individuals for roles such as research scientist, laboratory technician, or clinical research coordinator. Graduates often work in hospitals, research institutions, or pharmaceutical companies, utilizing skills in laboratory techniques, data analysis, and scientific communication.
What are popular job titles related to Ms Biomedical Science jobs in Indiana? For Ms Biomedical Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ms Biomedical Science jobs in Indiana look for? The top searched job categories for Ms Biomedical Science jobs in Indiana are:
Ms Biomedical Science jobs near you
Infographic showing various Ms Biomedical Science job openings in Indiana as of June 2026, with employment types broken down into 2% Internship, 52% Full Time, 9% Part Time, 2% Temporary, 33% Contract, and 2% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $56,459 per year, or $27.1 per hour.

Postdoctoral Fellow in Biostatistics and Health Data Science

Indiana University Academic Positions

Kokomo, IN • On-site

$42K - $58K/yr

Other

Posted 29 days ago

Job description

Position Details
Title Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Biostatistics Campus IU School of Medicine Indianapolis Position Summary
Postdoctoral Researcher to advance research at the intersection of artificial intelligence for healthcare, multimodal data analysis (EHRs, medical imaging, omics, physiological signals, clinical notes), and causal AI (causal inference, discovery, counterfactual reasoning). The successful candidate will collaborate with an interdisciplinary team of computer scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations.
Key responsibilities include:
  • Lead original research in multimodal and causal AI for health; design, implement, and rigorously evaluate algorithms and full pipelines.
  • Build reproducible research pipelines and maintain reliable experiment codebases (prefer Python).
  • Apply causal inference and discovery frameworks to clinical questions.
  • Translate proposed methods and frameworks into real-world clinical workflows.
  • Contribute to grant proposals and research reports.

This is an exciting opportunity to join a fast growing BHDS Department with 36 faculty members and more than 50 professional staff. We are dedicated to excellence in biostatistical, health data science, and informatics research and education. We have an extensive portfolio of research program in related areas. Our NIH funding as principal investigators and co-investigators has been ranked among the top in the nation. The Department currently has an ongoing PhD program in Biostatistics, MS program in Biostatistics, and BS program in Health Data Science.
We have established strong collaborations with both clinical and basic science research departments and divisions and health systems including IU Health and Eskenazi Hospitals as well as strong partnerships with major research institutes and centers including Regenstrief Institute, Center for Computational Biology and Bioinformatics, Indiana Clinical and Translational Science Institute (CTSI), Indiana University Simon Comprehensive Cancer Center, Indiana Institute of Biomedical Research, and Indiana Alzheimer's Disease Research Center. Additional details about the Department and the PhD program are available on our web page: https://medicine.iu.edu/biostatistics.
The Indianapolis Campus is the focal point of health professions education at Indiana University, and the School of Medicine is the country's second largest allopathic medical school. Indianapolis consistently ranks high nationally on many of the "best places to live" lists and has an economy that is growing in the life sciences arena. In addition, it has always been one of the cities with the lowest cost of living. Carmel, Indy's northern neighbor, was recently named as the best mid-sized city in the country.
IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.
Indianapolis is the capital and most populous city in the State of Indiana. It is growing economically thanks to a strong corporate base anchored by the life sciences. Indiana is home to one of the largest concentrations of health sciences companies in the nation. Indianapolis has a sophisticated blend of charm and culture with a wonderful balance of business and leisure. The growing residential base is supported by rich amenities and quality of life - the city possesses a variety of professional sports, arts venues and outdoor recreation areas. Residents of this dynamic city, and surrounding suburbs, enjoy leading educational systems and top-ranked universities, paired with a diverse population. Indianapolis International Airport is a top-ranked international airport, being named "Best Airport in North America" by Airports Council International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation. The search will continue until the positions are filled. 


Basic Qualifications
Required Qualifications:
  • Ph.D. (by start date) in Computer Science, Biomedical Informatics, Health Data Science, Biostatistics, or a closely related area.
  • Strong ML/deep learning foundation plus expertise in at least one of: multimodal learning, time-series modeling, or NLP.
  • Demonstrated working experience with healthcare data (e.g., EHR, clinical text, imaging, omics).
  • Proficiency in Python and ML tooling (e.g., PyTorch, scikit-learn), version control (Git), and experiment tracking (e.g., Weights & Biases).
  • Excellent written and oral communication skills, and ability to collaborate with multidisciplinary teams.
Preferred Qualifications:
  • Experience with LLMs/foundation models (e.g., clinical NLP, retrieval-augmented generation, instruction tuning) and multimodal transformers.
  • Solid understanding of causal methods (e.g., propensity scores, IPW, matching) and/or causal discovery.
  • Familiarity with data engineering and MLOps (e.g., SQL, Spark, Airflow, Docker, Kubernetes).
  • Knowledge of responsible/ethical AI for health: fairness/equity, interpretability, robustness, privacy (e.g., differential privacy, federated learning).
  • Track record of first-author publications in relevant venues and collaborative open-source contributions.

Department Contact for Questions
Professor Jiang Bian via email at: bianj@regenstrief.org
Additional Qualifications Special Instructions Priority Application Review Deadline Expected Start Date Posting Number IUSM-02286-2025

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