Apply on Employer Site

RA Capital Management · 4 months ago

Quantitative Research and Strategy, Senior Associate

Boston, MA

Full-time

Hybrid

Senior Level

5+ years exp

RA Capital Management LLC is a leading provider of capital and services to innovators in the healthcare sector, now expanding into Planetary Health. The Senior Associate, Quantitative Research & Strategy will support the investment team by conducting deep analyses of structured and unstructured data to inform investment decisions and commercial strategies.

BiotechnologyFinanceFinancial ServicesLife ScienceMedical

Growth Opportunities

No H1B

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

Qualification

PythonSQLPySparkData ScienceData VisualizationCuriosityCommunicationFlexibility

Required

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, claims-based 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)

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

Preferred

Preference for candidates with experience developing, deploying, and monitoring machine learning models in a production environment to support scalable, data-driven analysis