Senior / Scientist, Nucleic Acid Delivery

Lila SciencesCambridge, MA
37d$120,000 - $198,000

About The Position

We’re hiring a (Senior) Scientist, Nucleic Acid Delivery to lead development of next-generation platforms for targeted delivery of nucleic acid-based therapeutics, including lipid nanoparticles and alternative gene delivery systems. The role will span developing novel chemistries, targeting strategies, and formulations; standing up high-throughput, automated screens; and building novel characterization methods that explain and predict performance. You’ll partner with chemistry, biology, automation/robotics, and AI teams and leverage both internal team and external CROs to turn design–build–test–learn into a closed loop that continuously improves therapeutics discovery, development, and delivery.

Requirements

  • Ph.D. in Chemical/Biomedical Engineering, Chemistry, Pharmaceutical Sciences, BioChemistry, or related field (or M.S./B.S. with 5–8+ years relevant industry experience).
  • Deep expertise in nucleic-acid therapeutics, targeted delivery platforms, and biophysical/bioanalytical assays.
  • Experience building developing in vitro assays and integrating analytical instruments into automated or modular experimentation platforms.
  • Experience designing multiplexed in-vivo screens.
  • Experience engaging with external partners such as CROs in designing and shepherding in vivo studies, including mouse and NHPs.
  • Strong working knowledge of automation/HTS and experimental design/statistics including design-of-experiments and Bayesian optimization.
  • Proficiency in Python or other scripting languages for data analysis
  • Clear, concise documentation and communication; bias toward hypothesis-driven, quantitative decision-making.

Nice To Haves

  • Targeted nanoparticle experience (antibody/ligand decoration, linker chemistry) and affinity analytics (SPR/BLI).
  • Familiarity with GMP considerations for nanoparticle manufacturing.
  • Familiarity with mRNA chemistry (base/cap/poly(A) engineering) and how cargo design interacts with LNP performance.
  • Experience with peptide barcoding for delivery characterization.

Responsibilities

  • Design modality-spanning libraries of delivery systems (LNPs and alternatives), exploring novel chemistries, architectures, and targeting strategies (antibodies/VHHs/peptides/glycans; tunable linker chemistries).
  • Implement state-of-the art and develop next-generation characterization methods to evaluate formulation and delivery performance. Establish in-vitro assays and collaborate with external partners to design and execute in-vivo studies.
  • Closed-Loop Experimentation and Execution: partner closely with engineering and automation to design and exercise platforms for automated, high-throughput experimentation and data-rich workflows. Collaborate with AI team to run iterative experiments in real time, enabling fast optimization and discovery cycles.
  • Collaborate, Lead & communicate: Work with chemists, material scientists, engineers, and data scientists to document systems, share insights, and refine best practices in autonomous science. Mentor junior scientists, align milestones with internal/external collaborators, contribute to IP and publications, and present findings across the org.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Ph.D. or professional degree

Number of Employees

101-250 employees

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