The Quantitative Research & Strategy (QRS) team within RA Capital helps inform investment decisions and improve core processes with data-driven analyses. The team focuses on three core areas: portfolio management, risk management, and data science. They leverage complex datasets to uncover insights related to trends, patterns, and key drivers within the healthcare and financial landscapes. The team operates on a wide variety of projects in a fast-paced environment; often collaborating across teams (Invest, Venture, Legal, Finance, Compliance, TechAtlas, etc) and working directly with senior leadership & portfolio managers. About the Role As an Associate within the QRS team, you will be working on diverse quantitative and qualitative analytical problems requiring you to: - Designing and building systems to transform unstructured data into usable, structured representations (e.g., knowledge graphs, embeddings, and linked datasets) that can be queried and analyzed by the investment team. - Developing and deploying AI-driven workflows (e.g., LLM pipelines, retrieval systems, entity extraction, relationship mapping) to surface relevant insights from large corpora of text and other unstructured sources. - Collaborate with the investment team to integrate data-driven insights into investment strategies. - Combine insights from healthcare data, financial information, and data analytics into cohesive stories and actionable narratives for RA's investing team. - Develop dashboards and visualizations to communicate findings effectively. - Ensure data quality and integrity by implementing best practices in data collection, processing, and storage. Key Requirements We are looking for curious, intelligent, and driven individuals with a strong interest in the intersection of healthcare, financial markets and data science, capable of delivering results in a timely manner and at the highest levels of quality. All applicants must meet the following criteria to be considered: - Must be authorized to work in the United States. - Must have a Bachelors (or higher) in a STEM or finance/economics degree. - Must have 2+ years of experience working with unstructured data in AI systems. - Experience designing and implementing systems for unstructured data, such as: - Natural language processing (NLP) workflows - Knowledge graphs or graph-based data models - Vector databases / embedding-based retrieval systems - Entity extraction, linking, and relationship mapping - Familiarity with modern AI/LLM tooling (e.g., retrieval-augmented generation, prompt pipelines, evaluation frameworks) and an understanding of their limitations in high-stakes settings. - Experience working with Spark (pyspark), SQL, and Python. - Must be curious, flexible, and able to adapt quickly to changing projects and priorities. - Must be based in Massachusetts (consideration will be given to applicants who are willing and able to relocate to MA). - Must be able to work on a hybrid schedule out of our Boston office - Must be authorized to work in the United States without sponsorship (or transfer of sponsorship) Compensation RA Capital Management is committed to fair and equitable compensation practices. Pay for this position will be based on experience, skills, qualifications, and current market conditions. In addition to base salary (listed below), employees may be eligible for performance-based bonuses and a comprehensive benefits package that includes health insurance, retirement contributions, and paid time off. Total Rewards We take pride in offering a comprehensive employee benefits program as a key part of overall compensation. Our Total Rewards include: - 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 We're dedicated to helping our employees thrive professionally and personally. Massachusetts base pay range $120,000-$150,000 USD