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Quantitative Research and Strategy, Senior Associate

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: RA Capital Management
Full Time position
Listed on 2026-03-06
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

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.

About The Team

The Quantitative Research & Strategy (QR&S) 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, Tech Atlas, etc) and working directly with senior leadership & portfolio managers.

About The Position

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…
Position Requirements
10+ Years work experience
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