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Scientist I/II, Drug Delivery Chemistry

Lila Sciences - Cambridge, MA USA

Posted Apr 27, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
Offered From the posting source checked Jun 20, 2026
Verification
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Salary
$108K-$170K From the posting source checked Jun 20, 2026
401(k) match
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Role

Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Company

Company stage
Early From the posting source checked Jun 20, 2026
Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Scientist I/II, Drug Delivery Chemistry Cambridge, MA USA 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 -

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