Forward Deployed Engineer

Posted 2 Days Ago
Be an Early Applicant
4 Locations
In-Office
128K-192K Annually
Senior level
Analytics • Biotech • Consulting • Pharmaceutical
The Role
Embed with biopharma clients to rapidly prototype and deliver GenAI solutions. Build production-ready code, data pipelines, and model integrations using LLMs, RAG, and cloud services. Collaborate with product, design, and commercial/medical affairs teams, conduct demos, gather feedback, and transition prototypes into scalable features.
Summary Generated by Built In

We're committed to bringing passion and customer focus to the business.

Manager, Engineering

Hybrid – Waltham (MA) or NYC, Princeton, NJ or East Norriton, PA

We are hiring a Manager, Engineering to join our growing team building transformative GenAI‑driven products for commercial Life Sciences. As a forward‑deployed engineer, you will be embedded directly with client teams to rapidly prototype, develop, and iterate on AI solutions that have immediate real‑world impact.

This is a unique opportunity for engineers who want to blend hands‑on technical development with direct engagement at leading biopharma organizations. In this role, you will build innovative, first-of-their-kind applications that shape how Life Science companies operate. You will help translate ambiguous commercial challenges into high‑value prototypes that accelerate product adoption and fuel the growth of our GenAI platform portfolio.

Position Responsibilities

  • Partner with client stakeholders to understand commercial use cases and delivering rapid prototypes and proofs‑of‑concept that demonstrate the value of our GenAI product platform.
  • Collaborate directly with commercial and medical affairs teams at top Life Sciences companies to identify unmet needs and in close collaboration with product managers, business leads, and designers, translate them into actionable engineering solutions with outstanding user experiences.
  • Develop high‑quality code, data pipelines, and model integrations that power rapid experimentation.
  • Implement and refine solutions that can turn into scalable, production‑ready systems using LLMs, prompt engineering, RAG pipelines, search frameworks, and multi‑modal GenAI capabilities.
  • Conduct demos, gather feedback, and iterate quickly to maximize client adoption and impact.
  • Collaborate with senior engineers, product managers, and designers to transition prototypes into scalable product features.
  • Contribute to engineering best practices, documentation, and shared tooling.

Qualifications

  • 6-8 years of professional software engineering experience.
  • Strong proficiency in Node.js, React.js, Python, cloud services (Azure/AWS/GCP), and modern engineering patterns.
  • Experience building or integrating AI/ML and GenAI systems.
  • Strong communication abilities and comfort interacting with non‑technical client stakeholders.
  • Ability to work independently in dynamic, client‑facing environments.
  • Prior experience working with Life Sciences or Biotech companies strongly preferred.
  • Bachelor’s degree in Computer Science, Engineering, or related discipline.

About Us

Trinity Life Sciences is a trusted strategic commercialization partner, providing evidence-based solutions for the life sciences. With 30 years of experience, Trinity is committed to revolutionizing the commercial model by providing exceptional levels of service, powerful tools and data-driven insights. Trinity’s range of products and solutions includes industry-leading benchmarking solutions, powered by TGaS Advisors. To learn more about how Trinity is elevating life sciences and driving evidence to action, visit trinitylifesciences.com.

Trinity’s salary bands account for a wide range of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills; level of experience and training; specific qualifications, performance, time in role/company, geographic location, and other business and organizational needs. A reasonable estimate of the current range for this position is $128,000 - $192,000. In addition to your base salary, you will also be eligible for an annual discretionary performance bonus.

Trinity’s Commitment to Diversity, Equity & Inclusion

At Trinity, we have a strong, uncompromising commitment to building a welcoming, inclusive workplace. We believe that our diversity provides us with differing perspectives, experiences, and challenges vital to being better colleagues to one another. Trinity Life Sciences 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. Trinity Life Sciences is an equal opportunity employer; committed to creating a community of inclusion, and an environment free from discrimination, harassment, and retaliation.

Skills Required

  • 6-8 years of professional software engineering experience.
  • Strong proficiency in Node.js, React.js, Python, cloud services (Azure/AWS/GCP), and modern engineering patterns.
  • Experience building or integrating AI/ML and GenAI systems.
  • Strong communication abilities and comfort interacting with non-technical client stakeholders.
  • Ability to work independently in dynamic, client-facing environments.
  • Prior experience working with Life Sciences or Biotech companies.
  • Bachelor's degree in Computer Science, Engineering, or related discipline.
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The Company
1,672 Employees
Year Founded: 1996

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.

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