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Data Fellow Jobs (NOW HIRING)

Emerson College

Postdoctoral Fellow

Boston, MA · On-site

$53K - $72K/yr

Contribute to refining all aspects of data processing and analysis via regular meetings with Lab Directors and postdoctoral fellow(s) at Emerson and CHOP * Provide feedback and input to Lab Director ...

The Pennsylvania State University

$48K - $65K/yr

The training will allow fellows to specialize in several areas including Biology and Health, Developmental Processes, Prevention and Treatment, and Policy and Administrative Data Systems. This ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

Postdoctoral Research Fellowship Biomedical Data Science The Kontorovich Laboratory, Cardiovascular Research Institute and Center for Inherited Cardiovascular Diseases Icahn School of Medicine at ...

Emerson College

Postdoctoral Fellow

Boston, MA · On-site

$53K - $72K/yr

Contribute to refining all aspects of data processing and analysis via regular meetings with Lab Directors and postdoctoral fellow(s) at Emerson and CHOP * Provide feedback and input to Lab Director ...

Meharry Medical College

Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

The position focuses on data analytics, computational genomics, machine learning, and the application of metagenomics to dental diseases. The Postdoctoral Fellow will work closely with the PI on ...

Climate Action Campaign

Grassroots Fellow

Washington, DC · On-site +1

$19/hr

Experience with data entry and attention to detail (database management a plus) * Light research ... The paid fellowship program lasts for 13 weeks and fellows participate for 20 hours/week. Rate of ...

Climate Action Campaign

Grassroots Fellow

Washington, DC · Hybrid

$19/hr

Experience with data entry and attention to detail (database management a plus) * Light research ... The paid fellowship program lasts for 13 weeks and fellows participate for 20 hours/week. Rate of ...

Climate Action Campaign

Grassroots Fellow

Washington, DC · Hybrid

$19/hr

Experience with data entry and attention to detail (database management a plus) * Light research ... The paid fellowship program lasts for 13 weeks and fellows participate for 20 hours/week. Rate of ...

Meharry Medical College

Postdoctoral Fellow

Campus, IL

$47K - $64K/yr

The position focuses on data analytics, computational genomics, machine learning, and the application of metagenomics to dental diseases. The Postdoctoral Fellow will work closely with the PI on ...

BlueLabs, Inc.

Strategic Analytics Fellow

$25/hr

Team members analyze and interpret data, provide strategic program insight, drive innovation across sectors, and collaborate closely with both our client and technical teams. About The Role : Fellows ...

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Data Fellow information

What is a Data Fellow?

A Data Fellow is typically a professional engaged in a temporary, project-based role focused on data analysis, research, or data-driven decision-making within an organization. These positions are often offered through fellowships in academic, nonprofit, or public sector settings, giving fellows the opportunity to work on specific data projects, gain hands-on experience, and contribute to organizational goals. Data Fellows are expected to have skills in data collection, cleaning, analysis, and visualization, and may work on tasks such as building dashboards, conducting statistical analyses, or supporting data-driven policy decisions. The fellowship usually lasts for a fixed period, such as 6–12 months, and can be a stepping stone to more advanced data roles.

What are the key skills and qualifications needed to thrive as a Data Fellow?

To thrive as a Data Fellow, you need strong analytical skills, proficiency in statistical analysis, and a background in data science, mathematics, or a related field. Familiarity with data analysis tools like Python, R, SQL, and visualization platforms such as Tableau is typically required, along with certifications in data science or analytics being advantageous. Critical thinking, problem-solving ability, and effective communication are essential soft skills for interpreting data and conveying insights to diverse stakeholders. These capabilities are crucial for extracting actionable information from complex datasets and supporting data-driven decision-making within organizations.

How does a Data Fellow typically collaborate with other teams within an organization?

Data Fellows often work closely with cross-functional teams such as engineering, product management, and operations to ensure data-driven decision-making. They are responsible for translating complex data findings into actionable insights that support business objectives. Effective collaboration involves frequent meetings, shared project management tools, and clear communication to align on goals and deliverables. This collaborative environment not only fosters skill development but also provides visibility into various aspects of the business, helping Data Fellows grow in their careers.
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Data Fellow jobs near you
Infographic showing various Data Fellow 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 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Postdoctoral Fellow in Biostatistics & Health Data Science

Indiana University Academic Positions

Kokomo, IN • On-site

$42K - $58K/yr

Full-time

Re-posted 10 days ago

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

Apply