Data Science Analyst, Equity Research, Healthcare Team - Wellington Management

About the Role

THE POSITION We are looking for a Data Science Analyst (Science Analyst) to join the Healthcare team within Global Investment Research. With over $100B invested in healthcare, across over 50 Portfolio Managers, this represents a flagship franchise for Wellington. The Healthcare team invests globally across the full healthcare continuum, including Biopharma, Healthcare Services and Medical Technology. The Healthcare team includes over 10 colleagues.

The Science Analyst will work as an integral team member alongside Global Industry Analysts and Portfolio Managers, helping identify where data science, AI and alternative data can create differentiated investment insight across the healthcare sector (MedTech, Pharmaceuticals, Biotech, Healthcare Services). The ideal candidate brings hands-on experience in an investment setting, strong Python, SQL and AI skills, sound judgment for turning messy inputs into outputs the team can act on, and a genuine interest in the healthcare sector and the companies operating within it. They should be comfortable working independently, setting their own priorities, and moving fluidly between deep dataset work and quick-turnaround requests.

RESPONSIBILITIES Responsibilities for this position will include the following:

• 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.

QUALIFICATIONS Ideal candidates will have:

• 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.