Data Science Analyst, Equity Research, Healthcare Team

• Work as an integral part of the Healthcare team, partnering directly with Global Industry Analysts and Portfolio Managers.
• Translate broad investment questions into testable data science workflows and analytical outputs.
• Apply AI and agentic tools to streamline research workflows and contribute directly to investment idea generation.
• Communicate results clearly, including limitations, confidence levels, and interpretation risk.
• Serve as an experienced data science resource across the Healthcare team's coverage areas.
• Rapidly get up to speed on new companies, sub-sectors, datasets, and business models as the need arises.
• Assess and sequence incoming requests based on expected investment impact, feasibility, and how repeatable the resulting work would be.
• Develop differentiated signals and analytical frameworks from alternative and structured datasets relevant to healthcare investing.
• Evaluate dataset quality, coverage, bias, and signal durability.
• Build repeatable tools, screens, and research outputs that can be used across companies and themes within the sector.
• Partner with Data Engineering to product ionize high-value signals where appropriate.

• 3-5+ years of experience in data science, alternative data, investment research, healthcare analytics, or a related analytical role
• Prior experience working with investment teams, research teams, or senior business stakeholders
• Strong Python and SQL skills
• Comfort with AI/LLM tooling and agentic workflows, and the ability to apply them to streamline the research process and support idea generation
• Experience working with large, messy, real-world datasets
• Hands-on experience with a variety of alternative datasets, including a track record of sourcing and evaluating new or emerging data, not just working with what's already established
• Strong ability to evaluate dataset quality, bias, representativeness, and signal robustness
• Genuine investment acumen and curiosity about markets, companies, and how data translates into an investment thesis — not just a technical interest in the data itself
• Ability to translate ambiguous investment or business questions into concrete analyses
• Strong communication skills and ability to present nuanced findings to senior stakeholders
• High judgment and comfort operating independently in ambiguous environments.

Demonstrates expertise in Data Science and Healthcare Analytics, with strong capabilities in Python and SQL for analyzing complex datasets. Proven ability to translate investment questions into actionable insights while effectively communicating findings to senior stakeholders.

• Data Science Experience
• Python Proficiency
• SQL Proficiency
• AI/LLM Tooling Application
• Investment Research Acumen

• Data Science
• Healthcare Analytics
• Python
• SQL
• Dataset Evaluation
• Analytical Framework Development
• Alternative Data Sourcing
• Research Workflow Optimization
• Signal Durability Assessment
• Investment Thesis Translation

• Strong Communication
• High Judgment
• Independent Operation
• Curiosity About Markets
• Ability to Present Findings

• Investment Research
• Healthcare Investing
• Alternative Datasets
• Data Quality Assessment
• Business Stakeholder Engagement

• AI Tools
• Agentic Workflows