Additionalinformation

Additional Information

What does IntegriChain have to offer?

• 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

IntegriChain is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to race, color, religion, national origin, ethnicity, age, sex, marital status, physical or mental disability, gender identity, sexual orientation, veteran or military status, or any other category protected under the law. IntegriChain is an equal opportunity employer; committed to creating a community of inclusion, and an environment free from discrimination, harassment, and retaliation.

Our policy on visa sponsorship for US based positions: 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.

Companydescription

Company Description

IntegriChain is the data and application backbone for market access departments of Life Sciences manufacturers. We deliver the data, the applications, and the business process infrastructure for patient access and therapy commercialization. More than 250 manufacturers rely on our ICyte Platform to orchestrate their commercial and government payer contracting, patient services, and distribution channels. ICyte is the first and only platform that unites the financial, operational, and commercial data sets required to support therapy access in the era of specialty and precision medicine. With ICyte, Life Sciences innovators can digitalize their market access operations, freeing up resources to focus on more data-driven decision support. With ICyte, Life Sciences innovators are digitalizing labor-intensive processes – freeing up their best talent to identify and resolve coverage and availability hurdles and to manage pricing and forecasting complexity.

We are headquartered in Philadelphia, PA (USA), with offices in: Ambler, PA (USA); Pune, India; and Medellín, Colombia. For more information, visit www.integrichain.com, or follow us on Twitter @IntegriChain and LinkedIn.

Jobdescription

Job Description

IntegriChain's Product Management team is hiring a Product Analyst for Prism, our conversational analytics platform. Prism lets people who work in market access at life sciences companies ask questions about their data in plain English and get answers in seconds, instead of sending the request to an analyst and waiting. Behind the scenes, Prism runs on semantic layers we build from our raw SQL data. Those layers are what let it take a business question and map it to the right numbers. The Product Analyst makes sure the questions people ask actually line up with the answers Prism gives back. You'll work every day with Product Management, Data Science, and Engineering to keep those answers accurate and worth trusting.

This isn't a development role, and it isn't about building reports or dashboards. It's an analysis job for someone who's technical but isn't a software engineer. You'll use Snowflake Cortex, along with tools like Claude and Codex, to review and improve the prompts business users type into Prism and the answers it sends back. Much of the work is finding places where the way the data is set up leads Prism to misread a question or return the wrong answer. About half the job is digging into the data. The other half is talking with business owners, certifying that queries return the right results, and writing up what needs to change.

What you'll do

• Prompt review: Go through the prompts business users type into Prism and improve them with Snowflake Cortex, Claude, Codex, and similar tools, so their questions get read correctly against the semantic layer.
• Query certification: Check the queries users run and the answers Prism gives back against the source data, then sign off so the business can trust the results.
• Quality: Keep an eye on what users ask and what they get back, and flag repeat errors, gaps, or misreads so they get fixed.
• Semantic layer: Work with Data Science and Engineering to improve the semantic layers built on our raw SQL tables, including taxonomies, metadata, and labeling, so Prism understands the data better.
• Data analysis: Dig into how pricing, rebates, chargebacks, and other data connect, and use what you learn to shape how Prism represents it.
• Working with the business: Talk with business owners about the questions they need answered, and turn those conversations into better prompts, queries, and data structure.
• Requirements: Write clear technical requirements for tuning the model, restructuring data, or improving the product, based on what your reviews turn up.
• Documentation: Write down where the data comes from, the business logic behind it, and how it fits together, so people understand and trust Prism's answers.
• Roadmap input: Speak up for data quality during Prism planning, so priorities reflect what the data actually shows.
• QA and communication: Set up answer-accuracy test cases with QA each sprint, and help put together release notes, briefings, and presentations that explain how Prism works.

Qualifications

• 3+ years in data analysis, data correlation, or similar work.
• You're technical without being a software engineer. You write SQL comfortably, including joins, aggregations, and window functions, and you can read and debug a query someone else wrote. You know your way around semantic layers and data structures and can work through a problem on your own.
• Hands-on experience with AI tools like Snowflake Cortex, Claude, or Codex, and a feel for how they read structured data and prompts.
• Working knowledge of semantic data modeling (ontologies, taxonomies, knowledge graphs, or similar) and how it supports AI querying.
• You notice when an AI answer doesn't match the source data, and you have the patience to figure out why.
• Experience turning messy data relationships into clear requirements alongside Product Management, Data Science, and Engineering.
• Strong writing and speaking skills. You can explain complicated data and AI ideas to business owners in a way they can act on.
• Experience with Jira, Confluence, or similar Agile tools.
• Pharma experience, or experience with contracts and pricing, is a plus.
• A 4-year degree in a related field is preferred.

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