Operations Research Scientist I/II, Robotics jobs in United States
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Lila Sciences · 2 hours ago

Operations Research Scientist I/II, Robotics

positionCambridge, MA
timeFull-time
remoteOnsite
seniorityEntry, Mid Level
money$176K/yr - $304K/yr

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. The Operations Research Scientist will develop algorithms for autonomous laboratories, focusing on optimizing task allocation, scheduling, and dynamic routing under uncertainty to enhance scientific workflows.

Artificial Intelligence (AI)Foundational AILife ScienceSoftware
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H1B Sponsor Likelynote

Responsibilities

Formulate and solve large-scale, inter-connected optimization problems for task allocation, scheduling, and dynamic routing under uncertainty within high-throughput automated laboratories
Design custom heuristics and meta-heuristics to handle NP-hard challenges in real-time
Building and using simulations to model diverse lab scenarios, benchmark approaches, and identify bottlenecks before deployment
Collaborate with the robotics and software teams to implement optimization models into real-world autonomous systems

Qualification

Discrete optimizationMixed-integer programmingSoftware developmentHeuristic solversStochastic optimizationCross-functional communicationPublication record

Required

Ph.D. or M.S. in Operations Research, Computer Science, Applied Mathematics, Industrial Engineering, a related field, or equivalent experience
Deep expertise in discrete optimization, for example in mixed-integer programming (MIP), constraint programming (CP), network flow, etc
Ability to model complex temporal constraints and dependencies in dynamic environments
Ability to work and communicate cross-functionally on projects with evolving scope
Strong software development skills, with experience deploying optimization logic into production environments
Familiarity using a variety of commercial or open-source MILP/CP/hueristic solvers (e.g., Gurobi, CPLEX, Google OR-Tools, Hexaly, cuOpt etc..)

Preferred

Background in stochastic optimization or decision-making under uncertainty
Experience integrating optimization logic into robot control stacks or automated laboratories
Familiarity with temporal constraint networks
Experience developing solvers or benchmarking algorithms
Strong publication record in optimization algorithms

Benefits

Bonus potential
Generous early equity

Company

Lila Sciences

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Lila Sciences creates a scientific superintelligence platform and autonomous labs for life sciences, chemistry, and materials science. It is a sub-organization of Flagship Pioneering.
dateFounded in 2023
location
Cambridge, Massachusetts, USA
people-size201-500 employees
web-link
https://www.lila.ai

H1B Sponsorship

Lila Sciences has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)

Funding

Current Stage
Growth Stage
Total Funding
$550.67M
Key Investors
ARIANVenturesFlagship Pioneering
2026-01-20Grant· $0.67M
2025-10-14Series A· $115M
2025-09-14Series A· $235M

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Company data provided by crunchbase