Research Associate supporting EVERSANA’s life sciences commercialization services through medical literature research, statistical analysis, and health economics modeling. Developing publications, reports, models, and market - access materials.
About the role
- Equity Research Analyst transforming public disclosures into API-ready datasets for Fiscal.ai, a capital-markets research and data platform. Designing classification systems and validating financial data accuracy.
Responsibilities
- Design and maintain classification systems for public financial disclosures across jurisdictions
- Build rules that transform unstructured data into normalized, queryable datasets
- Research disclosure requirements in new markets and map jurisdiction-specific nuances into the data model
- Work with LLMs to write and refine prompts, build and test logic, and iterate based on outputs
- Partner with QA and engineering to identify edge cases and validate data accuracy
- Identify coverage opportunities and prioritize based on commercial signal
- Translate internal and external feedback into strong systems
- Support leading R&D on new data capabilities and product development
- Own the logic that transforms raw public disclosures into structured, API-ready datasets
- Work directly with the COO and take ownership of data capture and processing systems
Requirements
- Deep understanding of finance and investing, and genuine excitement to build a data product for investors
- 2-5 years across accounting, finance, investing, and/or data roles
- Strong data and analysis skills with awareness of multiple accounting standards and jurisdictions
- Naturally curious systems thinker with strong pattern recognition, ability to connect the dots, and comfort with ambiguity
- Self-directed, resourceful, and a clear communicator
- Excited to work at a fast-growing startup
- CPA or CFA is an asset
Benefits
- Equity
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