Scientist II/ Senior Scientist, BioML

The posting, as Lila Sciences wrote it

Your Impact at LILA

Lila is building a platform where AI and automation work together to solve the hardest problems in biomedicine. Within Life Sciences AI (LSAI), we are building the loop where AI, automation and experimental biology co-evolve.

We are seeking a Scientist II/ Senior Scientist, BioML to work at the intersection of mechanistic modeling and experimental design. Helping build the biological mechanism layer of that loop: reasoning systems that take a mechanistic hypothesis apart into what must be true for it to hold, judge what the existing evidence actually settles, and identify what remains open. You will encode what good mechanistic adjudications look like and build the evaluations that measure a system against them.

Then you will help close the loop: at Lila, when the evidence to ground or test a system does not exist, we generate it. You will design experimental campaigns that anchor these systems in real measurement, and own the analysis of the data that comes back. The core of this role is to decide what is worth measuring and closing that loop.

The ideal candidate brings strong hands-on experience in computational biology, BioML, or applied ML for biological data, and can partner effectively with experimental scientists, ML researchers, and platform engineers. This person will help define tractable scientific questions, design rigorous analyses, interpret model outputs in biological context, and contribute to workflows that connect computational predictions with experimental decisions.

This is an individual contributor role for a scientist who wants to drive meaningful applied work in a fast-moving, interdisciplinary environment. The role will emphasize execution, scientific judgment, and cross-functional collaboration rather than group leadership or owning the broader platform direction.

What You'll Be Building

• Encode mechanistic reasoning into systems, and build the evaluations that hold them to it. Turn how a good scientist decomposes a hypothesis — what must be established, in what order, what distinguishes the live alternatives — into structured frameworks and reasoning workflows that operate without you in the loop. Define what a good answer is, and score whether a system reached it for the right reason rather than a plausible-sounding one.
• Analyze the biological data that grounds these systems. Hands-on analysis of single-cell, perturbation, proteomics imaging, and genetic data: build the pipelines that turn raw measurement into model-ready evidence, run the quality control and annotation-stability analyses that determine how much weight a given fact should carry, and produce the quantitative results the reasoning layer depends on.
• Design experimental campaigns and close the loop on them. Specify what to measure, in which contexts, at what precision and scale — both to anchor these systems in real data and to generate outcome-verified cases they can be trained and scored against. Analyze what comes b

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de the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.

Expected Base Salary Range
$228,000 — $358,000 USD

About LILA

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.

LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.

We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.