Data Science Analyst, Equity Research, Healthcare Team

Wellington Management•Boston, MA

13d•$90,000 - $180,000•Hybrid

About The Position

Wellington Management is seeking a Data Science Analyst to join their Healthcare team within Global Investment Research. This is a significant franchise for Wellington, with over $100B invested in healthcare across more than 50 Portfolio Managers. The Healthcare team invests globally across the entire healthcare spectrum, including Biopharma, Healthcare Services, and Medical Technology, and comprises over 10 colleagues. The Data Science Analyst will collaborate with Global Industry Analysts and Portfolio Managers, leveraging data science, AI, and alternative data to generate unique investment insights within the healthcare sector. The ideal candidate will have practical experience in an investment context, proficiency in Python, SQL, and AI, sound judgment for transforming data into actionable outputs, and a strong interest in the healthcare industry. They should be capable of working independently, prioritizing tasks, and managing both in-depth data analysis and urgent requests.

Requirements

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.

Responsibilities

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 productionize high-value signals where appropriate.