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Trinity Life Sciences

Life sciences consulting with data-driven insights

Forward-Deployed Engineer - Forward Deployed GenAI

AI Application EngineeringUpdated on Nov 12
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • Have 5–8 years of professional software engineering experience and a track record of shipping production-quality systems.
  • Have strong proficiency in Python and/or Node.js/React.js and fluency with cloud services such as Azure, AWS, or GCP.
  • Have hands-on experience building or integrating generative AI systems, including large language models, prompt engineering, retrieval-augmented generation, agentic architectures, or multimodal pipelines.
  • Have experience in client-facing environments, including presenting to non-technical stakeholders and responding to their feedback.
  • Have a bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Be able to understand client needs before building, iterate based on client feedback, collaborate with teammates, and learn quickly in unfamiliar industries, technology stacks, or problem spaces.

Responsibilities

  • Embed with clients at biopharma and life sciences organizations, work with commercial, medical affairs, and data teams to identify unmet needs, and translate them into engineered solutions.
  • Rapidly build generative AI applications, retrieval-augmented generation pipelines, agentic workflows, and data integrations using client data.
  • Own delivery end to end, from initial whiteboard session through production-ready code, demonstrations, feedback iterations, and handoff to product.
  • Move between active client engagements and product sprints as priorities shift.
  • Document patterns, share playbooks with the cohort, feed field learnings back into the product, and develop reusable components.

Desired Qualifications

  • Experience in Life Sciences or Biotech is strongly preferred, including understanding the commercial model, industry terminology, and stakeholder goals.

About the Company

Trinity Life Sciences

Life sciences consulting with data-driven insights

Trinity Life Sciences helps life sciences companies turn data into strategic guidance for commercial success. Its three-tier model combines advisory services, insights and analytics, and technology to support product planning from clinical development through launch and in-market optimization. The firm uses platforms like TrinityEDGE, Launch Accelerator, TGaS Advisors Benchmarking, and AI/ML capabilities from D Cube Analytics to deliver evidence-based recommendations across portfolio strategy, market access, and pricing. It differentiates itself by integrating advisory, analytics, and technology within one firm and expanding capabilities through acquisitions and a Bain & Company partnership, enabling more comprehensive programs than traditional consultants. The goal is to maximize the commercial success of clients’ products by providing data-driven strategy and tech-enabled insights throughout the product lifecycle.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Waltham, MA
Founded
1996

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