Quantitative Research Internship

RA Capital Management•Boston, MA

1d•Onsite

About The Position

RA Capital is a leading provider of capital and services to innovators in medicines and planetary health, with over $10 billion under management. The firm invests flexibly from seed to IPO and beyond, anywhere in the world. RA Capital is known for its culture of curiosity, rigor, and collaborative debate, with a large team possessing diverse expertise to help companies grow from ideas to impactful solutions. The Quantitative Research & Strategy (QRS) team supports investment decisions and core processes through data-driven analyses in portfolio management, risk management, and data science. They utilize complex datasets to identify trends and drivers in healthcare and finance, working on diverse projects in a fast-paced environment and collaborating with various internal teams and senior leadership. As a Quantitative Research & Strategy Intern, you will be a key part of the QRS team, contributing to research efforts by collecting, streamlining, and organizing detailed data. You will gain exposure to internal and external databases for data collection, curation, and management to support analyses. This internship is designed for college students interested in life science investing, offering a practical application of academic knowledge, skill development, and meaningful contributions to research. A strong emphasis is placed on experimenting with and incorporating AI to enhance efficiency and effectiveness, with a preference for candidates who are proactive in exploring and utilizing AI tools.

Requirements

Must be a current student within 1 year of graduation (Bachelors or higher) in a STEM degree.
Must have strong knowledge of python and SQL.
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 for the duration of the internship).
Ability to work out of our Boston office for the duration of the internship, approximately a 10 week commitment beginning on/around June 22, 2026.
Must be able to work in the United States without sponsorship.

Nice To Haves

Databricks experience preferred.
AI-forward people to ensure that we are leveraging these tools to make us as effective as possible.

Responsibilities

Collecting, streamlining, and organizing detailed data.
Gaining exposure to internal and external third-party databases to enable the collection, curation, and management of large data sets.
Supporting a diverse set of analyses.
Experimenting with ways to incorporate AI into their work to be more efficient and effective.
Taking existing python and SQL based analyses and making them scalable.

Benefits

Training/Mentoring: Understanding how to source, transform, and analyze data to answer key questions from senior leadership.
Assigned Peer Mentor in a related area of interest and thought partnership with Peer Mentor.
Weekly check-ins with manager for coaching and feedback and help addressing any challenges.
Networking opportunities with Invest, Venture, TechAtlas, and Operations teams, as well as other interns.
Exposure to real-world projects and hands-on work.
Mentorship from experienced professionals.
Opportunities for professional development within a collaborative team environment.
RA sponsored lunch on designated days.
Access to RA-sponsored events, speaker series, and social activities.
Participation in wellness and community-focused initiatives.
Paid, hourly internship position.
Competitive compensation within the industry and commensurate with experience and level of study.