Job Title: Quant Analytics & Data Science Lead – Healthcare (Alternative Data)

Location: New York / Remote flexibility (Hybrid)

Team: Investment Research & Alternative Data

Level: AVP / VP

Compensation: Competitive base + performance-driven bonus

About the Role

We are seeking a highly skilled and commercially minded Data Science Lead to spearhead the development of healthcare-focused alternative data products within our investment research team. This is a rare opportunity to join a high-performance, data-driven investment environment where your work directly impacts portfolio decisions.

You’ll work closely with portfolio managers, researchers, and engineers to identify and extract actionable insights from complex datasets — ranging from claims data and EMRs to consumer behaviour and macro health trends.

Key Requirements

• 5+ years of experience in data science or quantitative research, ideally in finance or healthcare analytics
• Strong background in Python programming, data wrangling, and statistical modeling
• Experience working with alternative data, particularly in the healthcare domain (e.g., claims, provider data, clinical trials, drug pipelines)
• Exposure to equities research or investment workflows preferred
• Degree in Computer Science, Data Science, Statistics, or a relevant technical field
• Strong communication skills and a collaborative, delivery-focused mindset

Nice to Have

• Experience in a hedge fund, asset manager, or data-driven research team
• Familiarity with tools like Snowflake, AWS, Airflow, or dbt
• Track record of shipping high-impact models or tools used by investment teams
• Prior work in bioinformatics, healthtech, or life sciences data science