Note: The job is a remote job and is open to candidates in USA. IntegriChain provides data and application infrastructure for life sciences market access organizations. The Product Analyst will support Prism, a conversational analytics platform, by improving prompts, certifying query accuracy, analyzing data relationships, and enhancing semantic layers in collaboration with Product Management, Data Science, Engineering, and business owners.
Responsibilities
- Prompt review: Go through the prompts business users type into Prism and improve them, using Snowflake Cortex and tools like Claude and Codex, so their questions get read correctly against the semantic layer
- Query certification: Check user queries and the answers Prism gives back, confirm they hold up against the source data, and sign off so the business can trust the results
- Quality ownership: Keep an eye on the questions users ask and the answers they get, and watch for repeat errors, gaps, or misreads so they get fixed
- Semantic layer work: Work with Data Science and Engineering to improve the semantic layers built from the raw SQL tables, including the taxonomies, metadata, and labeling, so Prism understands the data better
- Data analysis: Dig into how data connects across pricing, rebates, chargebacks, and other areas, and use what you find to shape how that data is represented in Prism
- Working with the business: Talk to business owners about the questions they need answered, and turn those conversations into better prompts, queries, and data structure
- Writing requirements: Write clear technical requirements for tuning the model, changing how data is structured, or improving the product, based on what your reviews turn up
- Documentation: Document where the data comes from, the business logic behind it, and how things relate, so people can understand and trust Prism's answers
- Roadmap input: Be the voice for data quality in planning and prioritization for Prism, so decisions are based on what the data actually says
- QA and communication: Work with QA to set up test cases for answer accuracy each sprint, and help with internal and customer updates (release notes, briefings, presentations) that explain how Prism works
Skills
- At least 3 years in data analysis, data correlation, or similar analytical work
- Strong technical skills without being a software engineer. You're comfortable with SQL, semantic layers, and data structures, and you can dig into a problem on your own
- Hands-on experience with AI tools like Snowflake Cortex, Claude, or Codex, and a good sense of how they read structured data and prompts
- A working knowledge of semantic data modeling (ontologies, taxonomies, knowledge graphs, or similar) and how it supports AI querying
- A knack for spotting when an AI answer doesn't match the source data, and the patience to figure out why
- A track record of turning messy data relationships into clear requirements, working alongside Product Management, Data Science, and Engineering
- Strong writing and speaking skills. You can talk to business owners and explain complicated data and AI ideas in a way people can act on
- Experience with Jira, Confluence, or similar Agile tools
- Familiarity with pharma, or with contracts and pricing, is a plus
- Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by IntegriChain
- A 4-year degree in a related field is preferred
Benefits
- Shape how a market-leading platform's AI understands and responds to life sciences data.
- Work at the intersection of data science, semantic modeling, and product innovation, with visibility to senior product and company leadership.
- Join a collaborative, growing o
- Mission driven: Work with the purpose of helping to improve patients' lives!
- Excellent and affordable medical benefits
- Non-medical perks including Flexible Paid Time Off
- Robust Learning & Development opportunities including over 700+ development courses free to all employees
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