Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 52 days ago

Manager, AI Engineering

Trinity Life Sciences98 open roles

Pay
$148,000 – $222,000 a year
Where
New York NY
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowManager, AI EngineeringTrinity Life Sciences · New York NY

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Trinity Life Sciences's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. Trinity Life Sciences postings stay open a median of 24 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 52 days ago

Trinity Life Sciences median: 24 days open

The posting

Position Summary

As a Manager, AI Engineering at Trinity Life Sciences, you are a hands‑on builder who leads by doing. You’ll embed with biopharma and commercial Life Sciences teams, absorb their hardest problems, and rapidly design and build working GenAI solutions e.g., client‑facing Copilots, RAG pipelines over clinical and commercial data, and agentic workflows that change how teams operate. You’ll move from ambiguous business challenge to running prototype in days, not quarters; demo it, iterate live with clients, and make it better. You will write code, own deployments, and be accountable for real outcomes. Within a week, you might be turning a messy CRM export into a live sales rep facing AI assistant that surfaces next‑best‑action recommendations. Or you might be building a RAG pipeline over 10 years of clinical trial data so a market access team can answer payer questions in seconds. As a Manager, you’ll also guide a small team of AI engineers (1–3), helping them ramp faster, navigate client complexity, and grow into the role. You lead by pairing, reviewing, unblocking, and raising the bar on engineering quality and client impact.

What You’ll Do

Technical delivery:

  • Embed with clients at top biopharma and life sciences organizations: Sit with their commercial, medical affairs, and data teams to surface unmet needs and translate them into engineered solutions.
  • Prototype at speed: Stand up GenAI‑powered applications, Copilots, RAG pipelines, agentic workflows, and data integrations fast enough to make a client’s jaw drop within two weeks of receiving their data.
  • Own delivery end‑to‑end: From the first whiteboard session through production‑ready code, demo, feedback loop, and handoff to product.
  • Flex between missions: Move between active client engagements and product sprints as priorities shift.
  • Make the model and our products better: Document patterns, share playbooks with the cohort, and push field learnings back into the product, including reusable components and Copilot templates.

Team development:

  • Provide technical leadership and guidance to junior AI engineers: Pairing on hard problems, reviewing their work, and giving them direct, useful feedback.
  • Help new engineers ramp up through the onboarding path: Accelerate their time to product fluency and first live pod contribution.
  • Serve as a technical sounding board when engineers are stuck: Ask questions that guide them to the solution and help them grow.
  • Model the culture: Show what great client engagement, clean iteration, and knowledge‑sharing look like in practice.

What You'll Bring

  • 6–9 years of professional software engineering experience, with a track record of shipping production‑quality systems.
  • Preferred experience mentoring or leading small engineering teams, formally or informally.
  • Strong proficiency in Python; fluency with cloud services (Azure, AWS, or GCP).
  • Hands‑on experience building or integrating GenAI systems: LLMs, prompt engineering, RAG, agentic architectures, multi‑modal pipelines, and Copilot‑style assistants.
  • Real comfort operating in client‑facing environments: You have presented to non‑technical stakeholders and navigated their feedback without losing your footing.
  • Experience in Life Sciences or Biotech preferred: You understand the commercial model, can talk the language, and understand the goals of stakeholders in the industry.
  • Thrive on pace: Compressed timelines energize rather than exhaust you; you do your best work when the deadline is real.
  • Understand before you build: You invest the time to genuinely absorb what a client needs before you write a line of code.
  • Are collaborative by default: You pull in teammates, ask for help early, and share credit.
  • Learn fast in unfamiliar domains: You have cracked new industries, new stacks, or new problem spaces quickly before, and you can do it again.
  • Make others better: You have the patience, directness, and generosity to mentor and coach engineers; you understand that growing someone else is a core contribution of the value you bring to our firm.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).

About Trinity

Trinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence. By blending deep therapeutic expertise and trusted human ingenuity with a purpose-built technology platform, Trinity accelerates clarity and confidence at every step of the commercialization journey—from pre-launch to scale to loss of exclusivity. For more than 30 years, the world’s leading pharmaceutical, biotech, and medtech companies have relied on Trinity’s foresight, execution, and partnership to deliver confident product launches, decisive market advantage, and measurable patient impact. During that time, Trinity expanded from its first office in Waltham, MA to 1,300 professionals across 14 offices and five continents, setting new industry standards in quality, responsiveness, and client partnership. For more information, visit Trinity at www.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, geographic location, internal equity, and other business and organizational needs. The base salary range for this role is $148,000 - $222,000 per year. In addition to your base salary, you will also be eligible for an annual discretionary performance bonus.

Trinity’s Commitment to Inclusion & Engagement (I&E) Trinity Life Sciences is an equal opportunities employer and welcome applications from all qualified individuals. At Trinity, inclusion and engagement are at the heart of how we work and grow together. We’ve evolved from a traditional “DEI” framework to Inclusion & Engagement (I&E)—a model that moves beyond representation to focus on connection, collaboration, and shared purpose. Every role at Trinity plays a part in fostering an environment where all employees feel valued, respected, and empowered to contribute fully. By embedding I&E principles into our culture, we ensure that belonging and engagement are not standalone initiatives—they are part of how we build teams, make decisions, and deliver excellence every day. Trinity will not tolerate any form of discrimination or harassment and encourages applicants of all ages and identities. For more information about Trinity’s commitment to Inclusion and Engagement please visit Inclusion & Engagement | Culture of Belonging at Trinity Life Sciences.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Trinity Life Sciences's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Trinity Life Sciences's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Trinity Life Sciences's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.