Applied AI Scientist
About this role
The Healthcare Data Strategy team at RA Capital Management builds data-driven systems to inform investment decisions and improve core business processes across portfolio management, risk management, and data science. This practitioner will design and implement AI-driven architectures that convert complex, unstructured healthcare, scientific, and financial data into reliable insights for decision-making. Operating at the intersection of applied artificial intelligence, data science, and investment research, the individual in this hands-on position will translate ambiguous business questions into technical solutions and actionable conclusions while partnering closely with investment professionals. Candidates who thrive in this environment possess a strong background in applied machine learning, enjoy working with intricate domain-specific information, and demonstrate the ability to independently manage projects from initial conception through deployment.
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 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.
What you need
- Hold a bachelor's or advanced degree in computer science, data science, engineering, statistics, applied mathematics, computational biology, or another related quantitative or technical field.
- Possess at least 4 years of professional experience in applied machine learning, data science, software engineering, data engineering, or a related discipline.
- Bring at least 2 years of direct working experience with natural language processing, information-retrieval, or large language model based systems.
- Demonstrate hands-on technical proficiency with natural language processing workflows, knowledge graphs, vector databases, embedding-based retrieval, entity extraction and linking, retrieval-augmented generation, or agentic artificial intelligence systems.
- Show proven capability in taking artificial intelligence or machine-learning solutions beyond initial prototyping, covering testing, deployment, evaluation, or ongoing improvement.
- Maintain strong Python and SQL programming skills alongside familiarity with software-engineering practices such as version control, testing, and documentation.
- Demonstrate authorization to work in the United States without current or future sponsorship or transfer of sponsorship, and reside in Massachusetts or be willing to relocate to work on a hybrid schedule from the Boston office.
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 artificial intelligence platforms, or production data pipelines
- Experience working directly with investment, research, business, or executive stakeholders
Benefits
- 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
- Performance-based bonuses
- Paid time off and retirement contributions
Skills and tech stack
Questions candidates ask
What is the remote or hybrid work policy for this role?
Candidates must be based in Massachusetts or willing to relocate and able to work a hybrid schedule from RA Capital's Boston office.
What is the compensation range for this position?
The Massachusetts base pay range is $140,000 to $180,000 USD, with employees potentially eligible for performance-based bonuses and a comprehensive benefits package.
What technologies and methods will I be working with?
The work involves developing and deploying AI-driven workflows using approaches like NLP, retrieval-augmented generation, knowledge graphs, embeddings, entity extraction, and agentic systems, using Python, SQL, and other data tools.
Who will I be collaborating with on a regular basis?
You will partner closely with investment professionals, senior leadership, portfolio managers, and various teams across RA Capital including RA Ventures, Legal, Finance, Compliance, and TechAtlas.
The application is on the official RA Capital Management, LLC careers page.
Apply on company site