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RA Capital Management

Invests in healthcare, life sciences.

Senior Applied AI Scientist

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeBoston, MA, USA

About the Job

Requirements

  • A bachelor's or advanced degree in computer science, data science, engineering, statistics, applied mathematics, computational biology, or another related quantitative or technical field is required.
  • At least 4 years of professional experience in applied machine learning, data science, software engineering, data engineering, or a related discipline, including at least 2 years working with natural language processing, information retrieval, or large language model-based systems.
  • Hands-on experience with one or more of the following: natural language processing workflows, knowledge graphs, vector databases, embedding-based retrieval, entity extraction and linking, retrieval-augmented generation, or agentic artificial intelligence systems.
  • Experience taking artificial intelligence or machine-learning solutions beyond initial prototyping, including testing, deployment, evaluation, or ongoing improvement.
  • Strong Python and SQL skills, along with familiarity with software-engineering practices such as version control, testing, and documentation.
  • Strong understanding of artificial intelligence and machine-learning fundamentals, evaluation methods, and the limitations of large language model-based systems.
  • Ability to independently structure ambiguous problems and communicate complex findings clearly to senior stakeholders.
  • Must be authorized to work in the United States without current or future sponsorship or transfer of sponsorship.
  • Must be based in Massachusetts or willing to relocate and able to work a hybrid schedule from the Boston office.

Responsibilities

  • Design and build systems that transform unstructured healthcare, scientific, and financial information into structured, usable insights.
  • Develop and deploy artificial intelligence-driven workflows using approaches such as natural language processing, retrieval-augmented generation, knowledge graphs, embeddings, entity extraction, and agentic systems.
  • Own applied artificial intelligence projects from problem definition and prototyping through deployment, evaluation, and iteration.
  • Develop benchmarks and evaluation frameworks to assess accuracy, relevance, reliability, and potential failure modes.
  • Partner with investment professionals and other stakeholders to identify high-value use cases and incorporate findings into investment research and decision-making.
  • Translate complex healthcare, financial, and analytical information into clear narratives, tools, and visualizations for technical and nontechnical audiences.
  • Help establish best practices for data quality, testing, documentation, reproducibility, and responsible artificial intelligence use.

Desired Qualifications

  • Experience working with healthcare, life sciences, investment management, financial services, or other complex domain-specific data.
  • Familiarity with scientific literature, clinical-trial information, company filings, market research, or other sources relevant to healthcare investing.
  • Experience with Spark, PySpark, cloud-based artificial intelligence platforms, or production data pipelines.
  • Experience working directly with investment, research, business, or executive stakeholders.

About the Company

RA Capital Management

Invests in healthcare, life sciences.

RA Capital Management channels capital and expertise into healthcare, life sciences, and planetary health companies across growth stages, funding ventures from private seed rounds to public follow-ons. It uses evidence-based investing guided by its TechAtlas research engine and Raven, a healthcare incubator, to identify opportunities and support teams from inception through commercialization. Unlike many investors, it combines rigorous research with an active incubator platform to help management turn scientific advances into scalable businesses. Its goal is to generate value for its portfolio and stakeholders while overseeing more than $10 billion in assets under management.

Company size
Not listed
Company stage
Not listed
Total funding
$41.5B
Headquarters
Boston, MA
Founded
2001

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