Applied AI Scientist

The role

You will design and implement AI-driven systems that transform unstructured information into decision-relevant insights. You will work at the intersection of applied AI, data science, and investment research to partner with investment professionals.

What you will do

• Design and build systems that transform unstructured healthcare, scientific, and financial information into structured, usable insights.
• Develop and deploy AI-driven workflows using 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.
• Translate complex healthcare, financial, and analytical information into clear narratives, tools, and visualizations.
• Help establish best practices for data quality, testing, documentation, reproducibility, and responsible AI use.

Required qualifications

• Bachelor’s 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.
• 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.
• 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.

Nice to have

• 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.

Benefits

• Performance-based bonuses
• Employer-paid monthly premiums for health, dental, and vision coverage
• Wellness benefits and programs to support physical and mental well-being
• Resources and perks that enhance work-life balance and financial security
• Health insurance
• Retirement contributions
• Paid time off

Before you apply

• 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.

About the company

RA Capital is a provider of capital and services to innovators, investing flexibly from seed to IPO with $10 B+ under management. The company focuses on medicines to further human health and is expanding into Planetary Health.