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, TechAtlas, etc) and working directly with senior leadership & portfolio managers.
About The Role
As a Senior Associate within the QR&S team, you will be working on diverse quantitative and qualitative analytical problems requiring you to:
- Utilize advanced statistical and machine learning techniques to analyze healthcare and financial datasets. Develop predictive models to forecast trends, assess risks, and identify investment opportunities.
- Collaborate with the investment team to integrate data-driven insights into investment strategies.
- Conduct in-depth analysis of portfolio performance, identifying key drivers and potential areas for improvement.
- 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.
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 3-5 years of experience as a data scientist.
- Experience working with Spark (pyspark), SQL, Python. MATLAB preferred.
- Experience with data visualization libraries and BI tools such as Tableau, Plotly, and Dash Enterprise preferred.
- Experience working with and analyzing large medical, healthcare, and/or financial datasets, strongly preferred.
- 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).
