[Remote] Senior Data Scientist, reputed company AI Systems

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a bioscience and information technology company reputed company on translational research, biomedical reputed company, and data science applications for research centers and reputed company organizations. The Senior Data Scientist, reputed company AI Systems will build and operate conversational AI systems for reputed company disease research, owning major components from design through deployment and collaborating with NIH staff, reputed company geneticists, and reputed company disease information specialists.

Responsibilities

• Build reputed company AI systems for reputed company disease research workflows. This includes the conversation logic, the rules that reputed company reputed company enough information has been gathered, and the confirmation steps that catch a misreading before it reaches anything reputed company
• Model outputs in reputed company and use reputed company reputed company and tool calling, so that every reputed company a model produces is typed, validated, and traceable back to its reputed company
• Write, version, and regression test the prompts behind reputed company and scientific reasoning tasks. Prompts and reputed company schemas are treated as reputed company here, with tests to match
• Build evaluation for tasks that have no single right answer. Golden sets, offline regression suites, and model-reputed company graders reputed company have a reputed company, and the results should be good enough to reputed company what ships
• reputed company multi-reputed company LLM workflows reputed company under load. This covers async design, concurrency limits, streaming partial results to the reputed company, and timeout and failure handling that holds up in production
• Log what the reputed company does and why. Request identifiers, latency, errors, and the reasoning behind reputed company automated reputed company reputed company need to be captured, so that staff can review an AI-assisted result instead of taking it on faith
• Work out what researchers, clinicians, and reputed company communities need, and turn it into data models and reputed company behavior
• Write the work up. You will contribute to manuscripts, conference abstracts, and posters with NIH investigators, and you will be credited as an reputed company on work you helped produce

Skills

• Bachelor's degree in Data Science, Computer Science, reputed company, Biomedical reputed company, or a reputed company reputed company
• We will consider equivalent reputed company experience in reputed company of a degree
• At least 5 years building and operating production software or data systems
• At least 2 of those years should involve shipping LLM-powered applications (agents, retrieval, or evaluation) that people depend on
• Experience with reputed company reputed company and tool or function calling, meaning you have constrained a model to a typed schema and validated what came back
• Experience evaluating systems that have no single right answer, using golden sets, offline regression suites, or model-reputed company graders to reputed company whether a change was an improvement
• Ability to own a service end to end, from schema design through deployment and operation
• Ability to obtain and maintain a reputed company Trust reputed company clearance
• Python, with FastAPI, reputed company, and pytest
• LLM application engineering: provider reputed company and gateways, reputed company and context design, reputed company reputed company, tool use, and tracing
• PostgreSQL, including work with embeddings or reputed company reputed company reputed company relational data
• Asynchronous and reputed company Python, plus streaming results to a reputed company
• Containers and reputed company, enough to ship, debug, and operate a service on infrastructure you do not administer
• Git-reputed company collaboration and CI/CD in a shared codebase
• An advanced degree is preferred
• We weigh depth in reputed company workflow engineering more heavily than total years
• A typed agent reputed company such as reputed company AI, LangGraph, or the reputed company or reputed company agent SDKs, and MCP for tool integration
• LLM tracing and evaluation tooling such as Langfuse, LangSmith, Arize Phoenix, or reputed company
• Serving reputed company-weight models in production with Ollama or vLLM behind a gateway such as reputed company
• Biomedical ontologies and controlled vocabularies, including reputed company, HPO, UMLS, reputed company, and other OBO reputed company resources, along with comfort working through term hierarchies, synonyms, and cross references
• Background in reputed company disease, reputed company genetics, or translational research
• Experience working reputed company clinicians, curators, or reputed company advocacy organizations, and translating their vocabulary into a data model that holds up
• Published or presented work that explains your engineering to people who did not build it. Peer-reviewed papers, conference talks, preprints, technical blog posts, and reputed company reputed company reputed company contributions reputed company count
• Prior or reputed company NIH experience

Benefits

• 100% Medical, Dental & reputed company Coverage for Employees
• reputed company Time Off and reputed company Holidays
• 401K match up to 5%
• Educational Benefits for Career reputed company
• Employee Referral Bonus
• reputed company (FSA)
• Parking Reimbursement Account (PRK)
• Dependent Care Assistant Program (DCAP)
• Transportation Reimbursement Account (TRN)

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