Quantitative Research and Strategy, Senior Associate

Imagine if you had the skills, knowledge, and teammates to both understand the root of the world’s 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 world’s precious resources.

RA Capital is among the leading providers of capital and services to the most promising innovators in the world.  We invest flexibly—seed to IPO and beyond, anywhere in the world—with $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 Capital’s 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, you’ll 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 don’t get us started on our compliance team’s 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 you’ll 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.

The Senior Associate, Quantitative Research & Strategy supports the invest team by leading deep analyses using various types of structured and unstructured data. This role combines strong technical acumen with strategic thinking to generate insights that inform investment theses, market assessments, and commercial strategy. This includes building scalable analytics pipelines, developing automated tools, and delivering compelling data-driven narratives.

Key Responsibilities:

• Lead high-impact analyses to uncover insights and patterns in data.
• Serve as a strategic thought partner to the investment team, translating complex data into clear insights that shape investment decisions.
• Design and maintain scalable data pipelines in Databricks using PySpark for multi-source data integration, transformation, and validation at scale.
• Develop analytical frameworks and dashboards that enable real-time monitoring of commercial activity, scenario modeling, and automated performance tracking.
• Champion data quality by building validation tools, detecting anomalies, and coordinating issue resolution with external vendors and internal engineering partners.
• Apply data science methods – such as clustering, time series analysis, and predictive modeling – to uncover hidden patterns in data.
• Present findings clearly and persuasively to internal stakeholders through written narratives, presentations, and visualizations that emphasize actionable takeaways.
• Collaborate cross-functionally to test hypotheses, refine priorities, and align insights with broader business objectives.

Key Skills and Requirements:

• 5 - 8 years of experience working with big data to deliver high-quality, actionable insights for non-technical audiences in a fast-paced, analytically rigorous environment.
• Demonstrated ability to translate complex, ambiguous business questions into structured analyses that drive strategic action.
• Ability to interpret data trends and present insights in an accessible manner through written reports and basic visualizations
• Strong communication skills, able to collaborate across functions and convey ideas concisely.
• Capable of managing multiple tasks and priorities with attention to deadlines and quality.
• Must be curious, flexible, and able to adapt quickly to changing projects and priorities.
• Must be authorized to work in the United States without sponsorship.
• Must be based in the Boston area and able to work on a hybrid schedule in our downtown Boston office (consideration will be given to applicants who are willing and able to relocate to MA for the role but relocation assistance is not provided).

Technical Requirements:

• Strong proficiency in Python and SQL (5+ yrs of experience), with a preference for direct experience working in PySpark for large-scale data processing.
• Proven track record of executing across the data lifecycle – engineering, analytics, and modeling – on multiple, concurrent code-heavy projects.
• Proficient in leveraging distributed computing frameworks and processing strategies to analyze large-scale datasets (1+ Tbs) efficiently and at scale.
• Preference for candidates with experience developing, deploying, and monitoring machine learning models in a production environment to support scalable, data-driven analysis.