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Wellington Management

Data Science Analyst, Equity Research, Healthcare Team

Wellington Management

Data Science Analyst joining Healthcare team at investment management firm. Collaborating with analysts and portfolio managers to apply data science in investment research.

Posted 7/27/2026full-timeBoston • Massachusetts, New York • 🇺🇸 United StatesMid-LevelSenior💰 $90,000 - $180,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

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.

Highest-signal resume keywords
Data Science ExperiencePython ProficiencySQL ProficiencyAI/LLM Tooling ApplicationInvestment Research Acumen

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ScienceHealthcare AnalyticsPythonSQLDataset EvaluationAnalytical Framework DevelopmentAlternative Data SourcingResearch Workflow OptimizationSignal Durability AssessmentInvestment Thesis Translation
Soft Skills
Strong CommunicationHigh JudgmentIndependent OperationCuriosity About MarketsAbility to Present Findings
Tools & Technologies
AI ToolsAgentic Workflows
Industry Keywords
Investment ResearchHealthcare InvestingAlternative DatasetsData Quality AssessmentBusiness Stakeholder Engagement

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • retirement plan
  • health and wellbeing
  • dental, vision, and pharmacy coverage
  • health savings account
  • flexible spending accounts and commuter program
  • employee assistance program
  • life and disability insurance
  • adoption assistance
  • back-up childcare
  • tuition/CFA reimbursement
  • paid time off (leave of absence, paid holidays, volunteer, sick and vacation time)