1,890,468open jobs
110,803companies
254,867added this week
Browse all
Salary
$126k – $198k per year
Location
In office (Cambridge)
Seniority
Senior · 1+ year exp

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Sep 29, 2026. Lila Sciences scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Lila Sciences is an American company launched publicly in 2025 out of Flagship Pioneering with the aim of building what it calls scientific superintelligence: artificial intelligence systems that generate hypotheses and then test them in the company's own automated laboratories. Its distinguishing feature is the closed loop between model and experiment, since most scientific machine learning is limited by the fact that the data it needs has never been generated. Headquartered in Cambridge, Massachusetts and funded at an unusually large scale for a company at this stage, it is working across life sciences and materials chemistry rather than committing to a single field.

Your Impact at LILA

As a Scientist II/Senior Scientist on the Vacuum Synthesis team at Lila Sciences, you will advance the design and synthesis of functional inorganic solid-state materials in support of Lila's autonomous science platform. You will design and execute multi-step preparations across diverse chemical systems, turning phase-diagram and crystal-chemistry reasoning into prioritized synthesis pathways and experimental feedback. You will partner with other synthetic materials scientists, characterization scientists, ML researchers, and systems engineers to close the synthesis-characterization-modeling loop and accelerate Lila's path to scientific superintelligence in functional materials.

What You'll Be Building

  • Design and execute synthesis campaigns across multiple chemical systems and structure families, drawing on the breadth of solid-state preparative chemistry (melt routes, flux, vapor transport, soft-chemical, topochemical, single-crystal growth, and unconventional or high-pressure environments as the target phase demands).
  • Translate phase-diagram, crystal-chemistry, and structure-property reasoning into concrete, prioritized synthesis pathways for novel functional inorganic compounds.
  • Access metastable and kinetically trapped phases through appropriate low-temperature and soft-chemical routes.
  • Work with the characterization team to develop routine and specialized structural characterization workflows (powder XRD, phase ID, refinement) for materials identification and quality control.
  • Take synthesized materials through to functional property screening (magnetic, transport, optical, or related) in partnership with the characterization team and use the resulting data to refine target selection and synthesis design.
  • Partner with materials simulation scientists, ML researchers, and systems engineers to integrate synthesis outputs into closed-loop, AI-guided experimental workflows.
  • Develop and document robust protocols for air- and moisture-sensitive precursors, controlled-atmosphere processing, and post-synthetic workup in a highly automated lab environment.
  • Maintain rigorous laboratory records and uphold safety and regulatory standards.

What You'll Need to Succeed

  • PhD in Solid-State Chemistry, Inorganic Chemistry, Materials Science, or a related field, with 1-5 years of postdoctoral or industry experience.
  • A documented portfolio of novel inorganic compounds spanning multiple chemical systems.
  • Hands-on proficiency across multiple inorganic synthesis modalities, with comfort selecting the right approach for a given target phase.
  • Demonstrated experience performing materials synthesis campaigns driven by functional property targets (e.g., magnetism, nonlinear optical response, exotic charge transport, or related phenomena).
  • Strong working command of complex multicomponent and multidimensional phase diagrams and the structural-chemistry principles that govern phase formation and stability.
  • Deep proficiency in X-ray diffraction and scattering techniques, including quantitative phase analysis and Rietveld refinement.
  • Fluency working across multimodal characterization (e.g., diffraction, magnetometry, transport, spectroscopy, microscopy) to inform synthesis decisions and iteration.
  • Effective written and verbal communication, with a track record of cross-functional collaboration.

Bonus Points For

  • Demonstrated depth in one or more functional inorganic material classes.
  • Experience with single-crystal growth, particularly metallic flux, with additional methods (vapor transport, Bridgman, floating zone) welcome.
  • Experience with metallurgical processing techniques for densification and sample conditioning (e.g., sintering, hot pressing, spark plasma sintering, arc melting, controlled annealing).
  • Experience with neutron scattering, pair distribution function (PDF), or other local-structure techniques for solving structure and ordering in disordered or metastable phases.
  • Comfort with inert-atmosphere handling (glovebox, Schlenk) and air- or moisture-sensitive chemistries.
  • Exposure to high-pressure or otherwise unconventional preparative environments.
  • Familiarity with thin-film or vacuum-based deposition techniques and how they fit alongside bulk synthesis.
  • Proficiency in Python or similar tools for data analysis and workflow automation.
  • Exposure to automated, high-throughput, or autonomous laboratory environments.

Compensation

We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.

U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.

International Benefits. Full-time employees outside 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

$126,000—$198,000 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.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,890,468 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Science & Research
Similar stack
Same company
Cambridge
≈ $63k – $129k per year (Estimated) • In office • Albuquerque
Life Sciences
PCR
Western Blot
Cell Culture
Single-Cell Sequencing
Mass Spectrometry
Apply
≈ $63k – $129k per year (Estimated) • In office • Albuquerque
Life Sciences
Flow Cytometry
Western Blot
Confocal Microscopy
Apply
$80k – $83k per year • In office • 3+ years exp • PhD • Seattle
Life Sciences
Flow Cytometry
Apply
≈ $66k – $136k per year (Estimated) • In office • Tucson
Life Sciences
Cell Culture
Apply
Medical Economist 1 day ago
$175k – $250k per year • Equity • Remote (United States) • Full-Time • 8+ years exp • Master's Degree • Waltham
Python
SQL
SAS
Apply
$150k – $170k per year • In office • 2+ years exp • PhD • Watertown
Python
AI/ML
Fine-tuning
Multimodal AI
PyTorch
Machine Learning
Apply
≈ $20k – $53k per year (Estimated) • In office • 5+ years exp • Lahore
Python
AI/ML
LoRA
Fine-tuning
Embeddings
Quantization
Multimodal AI
AI Agents
NLP
PEFT
Transformers
TensorFlow
PyTorch
LLM
RAG
Hugging Face
Machine Learning
Apply
≈ $42k – $108k per year (Estimated) • In office • 5+ years exp • Abu Dhabi
Python
AI/ML
LoRA
Fine-tuning
Embeddings
Quantization
Multimodal AI
AI Agents
NLP
PEFT
Transformers
TensorFlow
PyTorch
LLM
RAG
Hugging Face
Machine Learning
Apply
$100k – $160k per year • Remote (United States) • Full-Time • 10+ years exp
Python
Go
C++
C++
PyTorch C++
AI/ML
DeepSpeed
JAX
PyTorch
Ray
Megatron-LM
FSDP
NCCL
InfiniBand
DevOps
SLURM
CI/CD
Kubernetes
FinOps
HPC
Linux
Apply
AI Scientist 11 days ago
$100k per year • Remote (United States) • Full-Time • 6+ years exp
Python
AI/ML
Fine-tuning
JAX
Multimodal AI
AI Agents
PyTorch
RAG
Machine Learning
Apply
$168k – $238k per year • In office • 10+ years exp • Cambridge
Apply
$108k – $170k per year • In office • PhD • Cambridge
Apply
$168k – $272k per year • In office • 10+ years exp • Cambridge
Apply
$76k – $101k per year • In office • 3+ years exp • Bachelor's Degree • Cambridge
Apply
$88k – $144k per year • In office • 5+ years exp • Cambridge
Apply
$139k – $232k per year • Hybrid • Full-Time • 7+ years exp • Bachelor's Degree • New York • San Diego • Cambridge • Washington
DevOps
GCP
Management
Agile
Apply
$121k – $202k per year • In office • Full-Time • PhD • Heidelberg • Stevenage • Cambridge • Providence
Python
SQL
Python
pySpark
Databases
Google BigQuery
AI/ML
Spark
Machine Learning
DevOps
Docker
Apply
$131k – $209k per year • Equity • In office • Full-Time • 2+ years exp • PhD • Cambridge
Life Sciences
Flow Cytometry
Antibody Engineering
Apply
≈ $52k – $94k per year (Estimated) • In office • 2+ years exp • Bachelor's Degree • Cambridge
Life Sciences
Mass Spectrometry
HPLC
Chromatography
Apply
$204k – $310k per year • In office • 7+ years exp • Bachelor's Degree • Cambridge • San Francisco
Python
SQL
Python
Flask
FastAPI
Django
AI/ML
AI Agents
LLM
RAG
Machine Learning
DevOps
Terraform
CloudFormation
CI/CD
AWS
Docker
Kubernetes
Apply
See all jobs
This is one of many
1,890,468 more open roles from verified company boards, updated every day.