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Nih Data Science Jobs in Indiana (NOW HIRING)

Marian University

Laboratory Technician

Indianapolis, IN · On-site

$17.25 - $22.75/hr

... data collection, troubleshooting, analysis, and interpretation for NIH-funded research studies ... Bachelor's degree in biology, Biomedical Sciences, Microbiology, or related field required or ...

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Nih Data Science information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do nih data science jobs pay per year?

As of Jul 13, 2026, the average yearly pay for nih data science in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

What is an NIH Data Science job?

An NIH Data Science job involves managing, analyzing, and interpreting complex biomedical and health data to support scientific research and policy decisions. Professionals in this field work with big data, machine learning, and computational tools to advance medical discoveries and improve public health outcomes. They may collaborate with researchers, develop data infrastructure, and ensure data privacy and security. These roles exist across various NIH institutes and centers, supporting data-driven decision-making in health sciences.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are the key skills and qualifications needed to thrive in the Nih Data Science position, and why are they important?

To thrive as an NIH Data Science professional, you need a strong background in statistics, bioinformatics, and data analysis, typically supported by a degree in a related field such as computer science, mathematics, or public health. Experience with programming languages like Python or R, familiarity with data visualization tools, and knowledge of database management systems are crucial, and certifications in data science or informatics can be advantageous. Strong problem-solving abilities, teamwork, and effective communication skills set exceptional candidates apart. These competencies are vital for extracting meaningful insights from complex biomedical datasets, supporting impactful research, and collaborating across multidisciplinary teams at the NIH.

What are some typical projects or responsibilities for a Data Science professional at the NIH?

Data Science professionals at the NIH often work on projects involving the cleaning, analysis, and interpretation of large-scale biomedical datasets to support research or public health initiatives. Daily work may include designing and implementing algorithms, developing predictive models, and visualizing results to make data-driven recommendations. Collaboration is frequent, with data scientists working alongside researchers, clinicians, and IT specialists to tackle complex scientific questions. Professionals in this role also stay updated with emerging analytical tools and methods, contributing to continuous improvement of research practices. This dynamic environment offers opportunities to advance scientific discovery and develop expertise in high-impact areas of biomedical research.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and work at large tech companies or in high-demand industries. Achieving this level often requires specialized knowledge, a strong portfolio, and sometimes leadership roles or consulting work.

How much do NASA data scientists make?

NASA data scientists typically earn between $80,000 and $130,000 annually, depending on experience, education, and location. They often require strong skills in data analysis, programming, and scientific research, with many holding advanced degrees in related fields.
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Nih Data Science jobs near you
Infographic showing various Nih Data Science job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

Postdoctoral Fellow in Biostatistics & Health Data Science

Indiana University Academic Positions

Kokomo, IN

$42K - $58K/yr

Other

Re-posted yesterday

Job description

Position Details
Title Postdoctoral Fellow in Biostatistics & Health Data Science Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Biostatistics Campus IU School of Medicine Indianapolis Position Summary
Research Context & Opportunity-
Modern healthcare increasingly depends on integrating data across hospitals, registries, cohorts, and public health systems. Yet semantic heterogeneity-differences in terminology, structure, and logic-remains a central barrier to reusability, interoperability, and reproducibility.
This postdoctoral position addresses a fundamental and timely research question:
How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization?

We are particularly interested in:
  • LLM-driven systems for aligning real-world health data to standards like OMOP CDM, FHIR, and UMLS
  • Agent-based workflows that explain, refine, and adapt semantic mappings over time
  • Hybrid architectures that combine knowledge-grounded reasoning with flexible machine learning
  • Tools that reduce manual burden while preserving traceability and clinical interpretability
This position offers the opportunity to publish novel methods, work with real messy multi-source data, and contribute to infrastructure supporting population-level research and health equity.
The postdoctoral fellow will be based in the Department of Biostatistics and Health Data Science at Indiana University School of Medicine, in close collaboration with the Regenstrief Institute, a nationally renowned center for health informatics research and real-world data infrastructure.
  • Indiana University is home to one of the largest medical schools in the U.S., with extensive collaborations across informatics, clinical departments, and health systems (IU Health, Eskenazi Health, etc.).
  • Regenstrief Institute is internationally recognized for its leadership in data standards (e.g., LOINC), clinical data networks (e.g., Indiana Network for Patient Care), and health information infrastructure.
  • This environment supports both methodological research and operational implementation across state, national, and multi-institutional networks (e.g., NIH, OHDSI, PCORnet, ACT Network).
Our Team's Approach-
We are not a pure research group. We operate at the interface of research and health data operations, building methods that not only publish but also deploy. We handle real clinical and public health data problems where ambiguity, variation, and scale are the norm-not the exception.
We welcome postdocs who want to drive innovation while engaging deeply with practical, meaningful data challenges.
Responsibilities

  • Design and implement LLM-based methods for clinical data harmonization, semantic normalization, and ontology alignment
  • Develop multi-agent or RAG-style (retrieval-augmented generation) workflows for schema matching and terminology mapping
  • Collaborate with national and multi-institutional initiatives in data integration and standardization
  • Support open-source tooling, reproducible pipelines, and standards-based approaches (e.g., OMOP, FHIR, UMLS)
  • Lead or support manuscript preparation and dissemination at top informatics and AI venues
  • Contribute to grant development and proposal writing

What We Offer-
  • A collaborative environment at the intersection of real-world data, applied AI, and translational science
  • Opportunities to work across academic, clinical, and public health settings
  • Mentorship and support toward independent research or career development in academia or industry
  • Competitive salary and benefits through Indiana University
  • A culture that values both scientific innovation and practical impact

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.
Department Contact for Questions
Professor Jiang Bian via email at: bianj@regenstrief.org
Additional Qualifications
Preferred Qualifications:
  • Experience with concept normalization, ontology mapping, or schema alignment
  • Familiarity with LLM agents, tool-augmented reasoning, or hybrid rules + LLM systems
  • Record of publications in relevant domains (informatics, machine learning, AI, knowledge representation)
  • Experience with multi-site data harmonization or federated data environments
Special Instructions Priority Application Review Deadline Expected Start Date Posting Number IUSM-02358-2026

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