The Role
Shape technical and product direction across a portfolio, design and build end-to-end software and data solutions, translate consulting needs into product requirements and architectures, contribute to AI/ML and agentic capabilities, guide data-product sourcing and modeling decisions, and collaborate with consultants and subject-matter experts to deliver client-focused solutions.
Summary Generated by Built In
Responsibilities
- Shape the technical and product direction of solutions across Trinity's portfolio
- Contribute to solution architecture and build components of these solutions end-to-end
- Translate consulting methodology and client context into product requirements, data structures, and solution designs
- Contribute directly to AI/ML initiatives and development of agentic capabilities
- Support data-product design across sourcing, structuring, and modeling decisions
- Work alongside consultants and subject-matter experts to ensure solutions meet client needs
Required experience
- A track record of taking software or data products from concept to market
- Range across the stack: comfort operating as a software architect, hands-on engineer, and product owner within the same project
- Strong grounding in modern data and application architecture
- Working knowledge of AI/ML systems, including agentic systems architecture
- Consulting or client-facing experience in life sciences, pharma commercial, or an adjacent analytics-heavy domain
- Ability to structure ambiguous problems, work independently, and set direction for others once a workstream matures
- Bachelor's or higher in engineering, computer science, or a related quantitative field
Nice to have
- Experience designing data products
- Experience with commercial pharma analytics or launch analytics
Skills Required
- Track record of taking software or data products from concept to market
- Comfort operating as a software architect, hands-on engineer, and product owner within the same project
- Strong grounding in modern data and application architecture
- Working knowledge of AI/ML systems, including agentic systems architecture
- Consulting or client-facing experience in life sciences, pharma commercial, or an adjacent analytics-heavy domain
- Ability to structure ambiguous problems, work independently, and set direction for others once a workstream matures
- Bachelor's degree or higher in engineering, computer science, or a related quantitative field
- Experience designing data products
- Experience with commercial pharma analytics or launch analytics
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The Company
What We Do
Trinity Life Sciences is a modern partner to companies in the life sciences industry with nearly 30 years of expertise. The firm combines strategy, insights, and analytics to help life science executives with clinical and commercial decision-making. Serving over 300 pharmaceutical, biotech, and medical device clients, Trinity helps them develop the right drugs and devices for today’s market and optimize them once in market.
