Home › Companies › Lila Sciences › Scientist I/II, Drug Delivery Chemistry
Scientist I/II, Drug Delivery Chemistry
Lila Sciences · Cambridge, MA USA · Active · $108,000–$170,000 / year · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Lila Sciences |
| Title | Scientist I/II, Drug Delivery Chemistry |
| Normalized title | - |
| Department / team | Autonomous Science Platform |
| Location | Cambridge, MA, United States |
| Work model | - |
| Employment type | - |
| Salary | $108,000–$170,000 / year |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-04-27 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Lila Sciences. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Cambridge. | Open |
| Department jobs | Active postings in Autonomous Science Platform. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Lila Sciences |
| Source | a1e67975-fd33-4f8d-940f-2dbc2480c450 |
| ATS provider | Greenhouse |
Description
Your Impact at LILA
We are seeking a Scientist (II) to join our Physical Sciences team. This role will focus on assisting in the design and development of a high throughput chemical synthesis platform, with emphasis on medicinal chemistry and drug delivery applications. The ideal candidate will have experience synthesizing, analyzing, and optimizing novel molecules to build out structure-activity relationships for a library of compounds. This position will work closely with others across the chemistry, formulations, engineering, machine learning, and data science teams to help establish next-generation tools for therapeutic development and drug delivery. Your work will bridge the physical sciences and bioanalytical domains, enabling high-throughput experimentation for closed-loop optimization of organic compounds.
What You'll Be Building
Design, synthesize, and optimize novel lipids, small molecules, and other combinatorial chemistry compound libraries for drug delivery applications
Design and deploy high-throughput synthesis strategies, build automated assay platforms, and develop innovative approaches to interrogate large chemical spaces
Partner closely with chemistry, computational, and automation teams to establish structure-activity relationships for compound libraries to guide iterative design strategies
Implement data-driven approaches to analyze screening outputs and guide iterative molecule design.
Work with and manage projects with CDMOs for research-grade synthesis, with considerations towards scale-up of lead compounds
Establish best practices for screening data quality, reproducibility, and assay robustness.
Collaborate across disciplines to translate screening hits into validated chemical starting points for therapeutic programs.
What You’ll Need to Succeed
Ph.D. in Chemistry, Chemical Engineering, or a related field.
≥ 1 years of experience with automation, instrumentation, and integrating real-time analytics into experimental workflows.
Strong background in organic synthesis, with experience designing and synthesizing novel organic compounds.
Excellent problem-solving, communication, and collaboration skills.
Bonus Points For
Familiarity with novel lipid design for drug delivery applications
Prior knowledge and implementation of biodegradability and tolerability design principles, with working knowledge of biological implications of compound moieties
Prior experience working in an autonomous or self-driving chemical lab environment driving organic chemistry transformations
Hands-on experience with AI-driven experimental design or Bayesian optimization
Background in scaling workflows from proof-of-concept to routine, high-throughput operation
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 $108,000 — $170,000 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.
Full job record
| Job ID | 8ba6366ad415ddbba833820ed4e93f47c1a93be2 |
| Org ID | ffee088c-1794-41ee-9ae7-d3e130389319 |
| Source ID | a1e67975-fd33-4f8d-940f-2dbc2480c450 |
| Board ID | a1e67975-fd33-4f8d-940f-2dbc2480c450 |
| Provider | greenhouse |
| Provider Job Key | 4209819009 |
| Title | Scientist I/II, Drug Delivery Chemistry |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Cambridge, MA USA |
| Department | Autonomous Science Platform |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | MA |
| City | Cambridge |
| Salary Raw | Salary Range $108,000 — $170,000 USD About LILA Lila Sciences is building Scientific Superintel |
| Salary Min | 108,000 |
| Salary Max | 170,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://job-boards.greenhouse.io/lilasciences/jobs/4209819009 |
| Apply URL | https://job-boards.greenhouse.io/lilasciences/jobs/4209819009 |
| First Seen At | 2026-05-29 23:01:25Z |
| Last Seen At | 2026-06-06 07:34:08Z |
| Last Checked At | 2026-06-06 07:34:08Z |
| Last Changed At | 2026-05-29 23:01:25Z |
| Inactive At | — |
| Source Posted At | 2026-04-27 17:33:42Z |
| Source Updated At | 2026-05-14 21:07:40Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=lilasciences/date=2026-06-06/2026-06-06T07-34-07-839Z-8910748710b03f2325a47d95b68801d1b5e36c899ac6edbc67e980d6caead799.json |
Event Fields
{
"content_hash": "7647ee7226e353886f50eb004a7ab2b857c019fc1c6898eaac32e23035ad9709",
"source_hash": "17de5a33171b0b143f39e8266dbbd0421beed0b77968f87660a58a3a71dee4b9",
"last_changed_at": "2026-05-29T23:01:25.475Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "Cambridge, MA USA",
"city": "Cambridge",
"region": "MA",
"country": "United States",
"is_remote": false,
"confidence": 0.95
},
"salary_max": 170000,
"salary_min": 108000,
"inferred_at": "2026-06-06T07:34:08.154Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "Cambridge, MA USA",
"city": "Cambridge",
"region": "MA",
"country": "United States",
"is_remote": false,
"confidence": 0.95
},
"countries": [
"United States"
]
},
"remote_policy": null,
"salary_period": "year",
"workplace_type": null,
"salary_currency": "USD"
}Extensions
{}Native Structured
{
"title": "Scientist I/II, Drug Delivery Chemistry",
"offices": [
{
"id": 4011687009,
"name": "One Charles Park, Cambridge, MA",
"location": null,
"child_ids": [],
"parent_id": null
}
],
"language": "en",
"location": {
"name": "Cambridge, MA USA"
},
"metadata": [
{
"id": 4340245009,
"name": "Confidential?",
"value": false,
"value_type": "yes_no"
}
],
"updated_at": "2026-05-14T17:07:40-04:00",
"departments": [
{
"id": 4013362009,
"name": "Autonomous Science Platform",
"child_ids": [],
"parent_id": null
}
],
"company_name": "Lila Sciences",
"requisition_id": 4122842009,
"first_published": "2026-04-27T13:33:42-04:00",
"application_deadline": null
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/8ba6366ad415ddbba833820ed4e93f47c1a93be2?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/ffee088c-1794-41ee-9ae7-d3e130389319JSONGET https://api.bluedoor.sh/job-postings/v1/sources/a1e67975-fd33-4f8d-940f-2dbc2480c450JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/8ba6366ad415ddbba833820ed4e93f47c1a93be2/eventsJSON