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Sports Science Phd Jobs in Indiana (NOW HIRING)

AMN Healthcare

Co-Director, Genetics Laboratory

Avon, IN · On-site

$315K - $350K/yr

We are seeking candidates who are board-certified or board-eligible MD, MD/PhD, or PhD, with ... As one of the Midwest's leading healthcare and life sciences hubs, Indianapolis provides physician ...

AMN Healthcare

Co-Director, Genetics Laboratory

Carmel, IN · On-site

$315K - $350K/yr

We are seeking candidates who are board-certified or board-eligible MD, MD/PhD, or PhD, with ... As one of the Midwest's leading healthcare and life sciences hubs, Indianapolis provides physician ...

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Sports Science Phd information

What can you do with a sports science PhD?

A sports science PhD prepares individuals for careers in research, academia, sports performance analysis, and applied sports science roles. Graduates often work as sports scientists, exercise physiologists, or biomechanics specialists, utilizing skills in data analysis, physiology, and research methods. Opportunities may also include consulting, coaching, or working with sports organizations and health institutions.

What types of interdisciplinary collaboration can I expect as a Sports Science PhD in an academic or research setting?

As a Sports Science PhD, you will frequently collaborate with professionals from fields such as medicine, physiotherapy, biomechanics, psychology, and data science. These interdisciplinary teams often work together on research projects aimed at optimizing athletic performance, injury prevention, or understanding physiological responses to exercise. This collaborative environment not only enriches research outcomes but also expands your professional network and skill set. Being open to diverse perspectives and methodologies is essential for success and professional growth in this role.

What are the key skills and qualifications needed to thrive as a Sports Science PhD?

To thrive as a Sports Science PhD, you need advanced knowledge in exercise physiology, biomechanics, research methodology, and statistical analysis, typically supported by a doctoral degree in sports science or a related field. Expertise with data analysis software (such as SPSS or MATLAB), laboratory equipment, and certifications in human research ethics are commonly required. Strong communication, critical thinking, and collaboration skills help in publishing research, presenting findings, and working with multidisciplinary teams. These competencies are crucial for producing impactful research, advancing scientific understanding, and supporting athletic performance and health.

What is the difference between Sports Science Phd vs Sports Coach?

AspectSports Science PhdSports Coach
Required CredentialsDoctorate in Sports Science or related fieldHigh school diploma or equivalent; coaching certifications often preferred
Work EnvironmentResearch labs, universities, sports science facilitiesSports fields, gyms, training centers
Industry UsageAcademic, research, sports performance analysisTeam coaching, athlete training, performance improvement

The main difference between a Sports Science Phd and a Sports Coach lies in their focus and qualifications. A Sports Science Phd is research-oriented, often involved in academic or scientific research to improve athletic performance, while a Sports Coach works directly with athletes to develop skills and strategies. Both roles are essential in the sports industry but serve different purposes and require different levels of education and experience.

What is a Sports Science PhD?

A Sports Science PhD is a doctoral degree focused on the scientific study of sports, exercise, and physical performance. This advanced degree involves in-depth research in areas such as physiology, biomechanics, psychology, and nutrition as they relate to athletic performance and health. Graduates are trained to conduct original research, contribute to academic knowledge, and apply scientific principles to improve sports performance or promote health. Career paths often include academia, research, sports organizations, and healthcare settings.
What are popular job titles related to Sports Science Phd jobs in Indiana? For Sports Science Phd jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Sports Science Phd jobs in Indiana look for? The top searched job categories for Sports Science Phd jobs in Indiana are:
What cities in Indiana are hiring for Sports Science Phd jobs? Cities in Indiana with the most Sports Science Phd job openings:
Sports Science Phd jobs near you
Infographic showing various Sports Science Phd job openings in Indiana as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Postdoctoral Fellow in Biostatistics and Health Data Science

Indiana University Academic Positions

Kokomo, IN

$42K - $58K/yr

Other

Re-posted 14 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

Apply