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Entrylevel Retrieval Augmented Generation Jobs in Bloomington, IN

Entrylevel Retrieval Augmented Generation information

See Bloomington, IN salary details

$29.6K

$48.2K

$70.3K

How much do entrylevel retrieval augmented generation jobs pay per year?

As of Aug 17, 2026, the average yearly pay for entrylevel retrieval augmented generation in Bloomington, IN is $48,226.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $60,100.00 per year, depending on experience, location, and employer.

What cities near Bloomington, IN are hiring for Entrylevel Retrieval Augmented Generation jobs?

Cities near Bloomington, IN with the most Entrylevel Retrieval Augmented Generation job openings:

Postdoctoral Fellow in Biostatistics & Health Data Science

Indiana University School of Education

Bloomington, IN • On-site

$42K - $58K/yr

Full-time

Re-posted 6 days ago


Job description

Job Summary:
The Kinsey Institute is seeking a Postdoctoral Fellow in Biostatistics & Health Data Science to address critical challenges in clinical data harmonization using advanced methodologies. The role involves designing LLM-based methods, collaborating on data integration initiatives, and contributing to grant development within a collaborative environment focused on health equity and real-world data applications.
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
Qualifications:
Required:
• 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:
• 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.
Company:
The Indiana University School of Education is known for preparing reflective, caring, and skilled educators who make a difference in the lives of their students in Indiana, throughout the United States, and around the world. Founded in 1908, the company is headquartered in Bloomington, Indiana, US, , with a team of 201-500 employees. The company is currently Growth Stage.