Applied AI Scientist

Imagine if you had the skills knowledge and teammates to both understand the root of the worlds most pressing problems and build the technologies and companies best positioned to solve them. RA Capital has done exactly that for more than two decades backing bold ideas in medicines to further human health and now expanding into Planetary Health to improve how efficiently we utilize the worlds precious resources.

RA Capital is among the leading providers of capital and services to the most promising innovators in the world. We invest flexiblyseed to IPO and beyond anywhere in the worldwith $10 B under management and a culture that prizes curiosity rigor and collaborative debate. We are investors who not only fund companies but get elbow deep in building them. From helping them recruit talent to helping them recruit patients for their studies to helping match them to strategic partners and even going to Washington to win reforms RA Capitals large team has people with nearly every relevant expertise one might need to turn an idea into a cure that actually helps people.

If you live for first-principles problem-solving with great colleagues thrive on complexity and want to do meaningful work that ripples across industries and ecosystems youll feel at home at RA Capital. Here questions are welcomed ideas are tested and victories are shared. Even our lawyers are creative and engaging. And dont get us started on our compliance teams wicked sense of humor; nothing about what we do is boring.

Are you ready to bring your creativity discipline and collaborative spirit to help us invent the future Join us and youll collaborate daily with investors founders physicians biologists engineers economists and reform advocates who think in systems and act with urgency.

Join us to invent a happier healthier more productive future - and have fun doing it.

RA Capitals Healthcare Data Strategy team uses data-driven analysis to inform investment decisions and improve core business processes. The teams work spans portfolio management risk management and data science leveraging complex healthcare and financial datasets to identify important trends patterns and decision drivers.

The team operates in a fast-paced collaborative environment and works across RA Capital including with the Investment Team RA Ventures Legal Finance Compliance and TechAtlas. Team members also have opportunities to work directly with senior leadership and portfolio managers.

As a Senior Applied AI Scientist you will design and implement AI-driven systems that transform complex unstructured information into reliable decision-relevant insights. Working at the intersection of applied AI data science and investment research you will partner closely with investment professionals to translate ambiguous questions into technical solutions and actionable conclusions.

This is a hands-on individual contributor role with responsibility for independently owning projects from initial problem definition through deployment and ongoing improvement.

• Design and build systems that transform unstructured healthcare scientific and financial information into structured usable insights.
• Develop and deploy AI-driven workflows using approaches such as NLP retrieval-augmented generation knowledge graphs embeddings entity extraction and agentic systems.
• Own applied AI 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 AI use.

• Bachelors or advanced degree in computer science data science engineering statistics applied mathematics computational biology or another related quantitative or technical field.
• 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 NLP information-retrieval or LLM-based systems.
• Hands-on experience with one or more of the following: NLP workflows knowledge graphs vector databases embedding-based retrieval entity extraction and linking RAG or agentic AI systems.
• Experience taking AI 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 AI and machine-learning fundamentals evaluation methods and the limitations of LLM-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 RA Capitals Boston office.

• 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 AI platforms or production data pipelines.
• Experience working directly with investment research business or executive stakeholders.