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Postdoc Biostatistics Jobs in Indiana (NOW HIRING)

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Postdoctoral Fellows

Bloomington, IN

$45K - $61K/yr

IUSM - Biostatistics Campus: IU School of Medicine Indianapolis Position Summary: We are seeking multiple highly motivated Postdoctoral Fellows interested in developing and implementing novel ...

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Postdoc Biostatistics information

What are the typical daily responsibilities of a Postdoc in Biostatistics?

As a Postdoc in Biostatistics, your daily responsibilities often include designing statistical analyses for research studies, managing and cleaning large datasets, and interpreting complex results. You will frequently collaborate with biomedical researchers, clinicians, and other statisticians to develop analysis plans and contribute to scientific manuscripts or grant proposals. Participation in regular lab meetings, presenting your work, and staying updated on the latest statistical methodologies are also common aspects of the role. This dynamic work environment provides opportunities to expand your expertise and build a strong foundation for future academic or industry careers.

What are the key skills and qualifications needed to thrive in the Postdoc Biostatistics position, and why are they important?

To thrive as a Postdoc in Biostatistics, you need advanced expertise in statistical methods, data analysis, and research design, typically supported by a PhD in biostatistics, statistics, or a related field. Familiarity with statistical software such as R, SAS, or Python and experience with data management systems are crucial for the role. Strong communication, problem-solving, and project management skills help in presenting findings and collaborating with interdisciplinary research teams. These abilities enable you to effectively contribute to scientific research, drive innovative solutions, and ensure the integrity and impact of analytical results.

What is a Postdoc Biostatistics job?

A Postdoc Biostatistics job is a temporary research position for Ph.D. graduates specializing in statistical methods for biological, medical, or public health research. Postdoctoral researchers in biostatistics work on analyzing complex datasets, developing statistical models, and collaborating with interdisciplinary teams to address scientific questions. They often contribute to publications, grant applications, and the development of novel methodologies. The job typically lasts for one to three years and serves as a bridge to academic, industry, or government research careers.

What are the most commonly searched types of Postdoc Biostatistics jobs in Indiana? The most popular types of Postdoc Biostatistics jobs in Indiana are:
What are popular job titles related to Postdoc Biostatistics jobs in Indiana? For Postdoc Biostatistics jobs in Indiana, the most frequently searched job titles are:
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Postdoc Biostatistics jobs near you
Infographic showing various Postdoc Biostatistics job openings in Indiana as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Postdoctoral Fellow in Biostatistics and Health Data Science

Postdoctoral Fellow in Biostatistics and Health Data Science

Indiana University

Bloomington, IN • On-site

$45K - $61K/yr

Full-time

Re-posted 29 days ago

Job description

Posting Details
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/relocationThe 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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