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Senior Director of Quantitative Research – Qsight
| Company | Guidepoint |
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| Location | New York, NY, USA |
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| Salary | $175000 – $250000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Graduate or undergraduate degree in a quantitative field such as Computer Science, Mathematics, Statistics, Finance, or Economics
- Hands-on product and data science experience with alternative data for investors; corporate use cases are a plus
- Proven leadership experience managing agile teams in an entrepreneurial or fast-paced environment
- Advanced data analysis skills and experience creating scalable processes for extracting insights from complex data. Proficiency in Excel, SQL, and emerging AI/ML tools
- Exceptional attention to detail with a drive to uncover root causes and ensure data accuracy
- A problem-solving mindset with the ability to manage complex tasks and decision points
- A team-first attitude with a focus on delivering results for both the client and Qsight
- Excellent interpersonal and communication skills, with the ability to translate technical insights into clear business outcomes
- Familiarity with programming languages and concepts, especially SQL and Python
- A growth mindset with an eagerness to adopt new tools and technologies
- Entrepreneurial and self-motivated with strong intellectual curiosity
- Ability to quickly gain subject matter expertise; familiarity with the U.S. healthcare system is a plus
- Strong desire to contribute to a high growth, evolving business
Responsibilities
- Lead the Medical Device team, driving strategy, product development, and delivery while supporting sales and customer needs
- Develop new sales and marketing analytics offerings by integrating diverse healthcare datasets (claims, purchasing, etc.)
- Oversee data ingestion, cleaning, transformation, and analysis across sources
- Write, document, and maintain production-level code to support client deliverables and new data products
- Build deep familiarity with the U.S. healthcare system to guide data science work
- Leverage advanced techniques such as Generative AI, Natural Language Processing, and Machine Learning to deliver actionable insights
- Collaborate closely with data scientists, analysts, and engineers to deliver innovative solutions to clients
Preferred Qualifications
- Familiarity with the U.S. healthcare system is a plus
