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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Data Scientist-Furman lab - **Company:** Buck Institute For Education - **Location:** Novato, CA, United States - **Salary:** $60,000.0 - $75,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Vision, Big Data, Bioinformatics, Network Analysis, Computational Biology, Computer Programming, Databases, Data Transmissions, Data Dictionary, Data Integration, Data Reduction, Data Systems, Programming Tools, Systems Analysis, Python (Programming Language), Machine Learning, Metadata Standards, Tensorflow, Search Technologies, Software Engineering, Unstructured Data, Retrieval-Augmented Generation, Large Language Models, Information Technology, Free and Open-Source Software, Feature Extraction, Virtual Agents, Software Version Control, Data Pipelines, Docker - **Published:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=906fd6fdb9376168 ## About the Role Do you have experience in Version control systems?, This position is ideal for a creative, technically outstanding individual with a Master's degree or equivalent experience who has demonstrated excellence through high-impact projects, awards, hackathons, publications, startup experience, open-source contributions, or other evidence of exceptional technical ability. We are especially interested in candidates who are deeply fluent in the use of large language models, agentic AI systems, modern software engineering practices, and scalable approaches for harmonizing and modeling large, complex datasets. The successful candidate will contribute to multiple government-funded and institutional research initiatives, including a recently launched, government-funded project focused on using large-scale human data to better understand biological aging, resilience, healthspan, and age-related disease risk. This role will help develop innovative AI-enabled systems for organizing, harmonizing, analyzing, modeling, and interpreting large datasets generated across multiple collaborators, institutions, platforms, and data types. We are looking for someone who is not only technically strong, but also inventive, entrepreneurial, and capable of rapidly building solutions. The ideal candidate will be comfortable working at the intersection of AI, software engineering, data science, and biomedical research, and will bring the creativity needed to design new approaches for managing and modeling complex scientific data., * Master's degree in Computer Science, Data Science, Computational Biology, Bioinformatics, Applied Mathematics, Statistics, Engineering, or a related field; equivalent professional, entrepreneurial, or technical experience will also be considered * Demonstrated experience building AI, data science, machine learning, or software engineering systems * Strong proficiency in Python * Experience using large language models, AI APIs, or LLM-based developer tools * Experience with modern software engineering practices, version control, testing, documentation, and collaborative development * Ability to work independently, rapidly prototype solutions, and solve ambiguous technical problems, * Strong practical experience with large language models and AI-assisted workflows * Interest or experience in agentic AI, tool-calling agents, retrieval-augmented generation, vector search, or automated workflow orchestration * Strong analytical and problem-solving skills * Ability to design systems for organizing, harmonizing, and modeling large datasets * Comfort working with structured and unstructured data * Excellent written and oral communication skills * Strong attention to detail and commitment to reproducibility * Ability to collaborate with both technical and non-technical team members * High degree of creativity, initiative, and intellectual curiosity, * Evidence of exceptional technical achievement, such as hackathon wins, awards, competitive programming, startup experience, open-source contributions, publications, deployed products, or other high-impact projects * Experience with biomedical, healthcare, clinical, or omics data * Experience with APIs, cloud platforms, Docker, databases, or scalable data systems * Experience with vector databases, embeddings, RAG systems, or AI agent frameworks * Experience with Python-based data science libraries and machine learning frameworks * Familiarity with data harmonization, metadata standards, ontologies, or research data repositories * Experience working in fast-paced startup, academic, or highly collaborative environments ## Description The Buck Institute for Research on Aging is seeking an exceptional, highly motivated AI Data Scientist / Agentic AI Engineer to join a collaborative research team focused on aging, computational biology, multi-omics, and translational data science., 1. Develop AI-enabled systems for large-scale data harmonization and modeling The candidate will help design, build, and implement computational systems that support the organization, harmonization, modeling, and interpretation of large biomedical datasets. Responsibilities may include: * Developing agentic AI workflows to support data curation, quality control, documentation, and analysis * Designing LLM-powered tools to help harmonize large datasets across cohorts, studies, institutions, and assay platforms * Building pipelines to extract, standardize, and validate metadata and data dictionaries * Creating systems to support multi-modal data integration across omics, clinical, demographic, imaging, and functional datasets * Developing scalable approaches for identifying patterns, inconsistencies, and missing information across large datasets * Supporting model development for prediction, classification, clustering, and biological interpretation * Prototyping AI tools that improve research productivity, reproducibility, and scientific discovery 2. Apply LLMs, agentic AI, and modern machine learning approaches to biomedical research Responsibilities may include: * Building workflows using large language models, retrieval-augmented generation, vector databases, tool-calling agents, and automated reasoning systems * Designing AI agents capable of interacting with structured and unstructured scientific data * Developing systems that assist with literature mining, data annotation, hypothesis generation, and biological interpretation * Evaluating the performance, limitations, and reliability of AI-enabled tools in biomedical research contexts * Supporting responsible, reproducible, and well-documented use of AI in federally funded research * Collaborating with bioinformaticians and domain experts to translate research needs into functional computational tools 3. Support large-scale data science and computational biology projects The candidate may contribute to analyses involving: * Transcriptomics, including single-cell and bulk RNA-seq * Proteomics * Metabolomics * Epigenetics and biological aging clocks * Clinical and phenotypic datasets * Survey data * Integrative multi-omics * Dimensionality reduction and clustering * Classification methods and predictive modeling * Drug repurposing * Network analysis and pathway enrichment * Computer vision and feature extraction, as applicable 4. Collaborate across interdisciplinary teams The candidate will work closely with computational biologists, data scientists, principal investigators, research staff, software engineers, and external collaborators. Responsibilities may include: * Translating scientific goals into computational tools and workflows * Participating in project meetings and presenting technical progress * Creating clear documentation, diagrams, and technical specifications * Supporting manuscript preparation, grant writing, figure generation, and reporting * Working with diverse teams to improve data transfer, management, and analysis systems * Helping establish best practices for AI-assisted data science in biomedical research ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Big Business, Big Barriers? 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