Moderna, Inc.

Sr. Scientist, Delivery Sciences

Moderna, Inc.$130K — $209K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. in Pharmaceutical Sciences, Chemistry, Chemical Engineering, Materials Science, or a related field with 2+ years of experience.
  • Deep expertise in lipid nanoparticle (LNP) design and formulation with experience in targeted delivery.
  • Experience with high-throughput formulation workflows, laboratory automation, and AI/ML data analysis.
  • Proven leadership in mentoring scientists and fostering cross-functional collaboration.
  • Proficiency in analytical techniques for assessing nanoparticle characteristics.

Responsibilities

  • Drive research on targeted LNP delivery from hypothesis to evaluation.
  • Develop and optimize LNP self-assembly and surface modifications.
  • Leverage high-throughput automation and AI/ML for formulation discovery.
  • Design and execute experiments; analyze and communicate data effectively.
  • Implement advanced characterization methods to explore structure-function relationships.
  • Maintain electronic lab notebooks and documentation as per company standards.
  • Provide leadership and mentorship in cross-functional team collaborations.

Benefits

  • Competitive healthcare and voluntary benefit programs.
  • Access to fitness, mindfulness, and mental health support.
  • Family planning benefits including fertility and adoption support.
  • Generous paid time off including vacation and sabbaticals.
  • Savings and investment options for future planning.
  • Location-specific perks and extras.
Full Job Description
The Role:

We are seeking an accomplished Scientist to lead the development of targeted lipid nanoparticle (LNP) formulations within our fast-paced, cross-functional R&D organization. In this role, you will advance the science of LNP self-assembly, engineer delivery systems for small- and large-molecule payloads beyond the liver and leverage state-of-the-art analytical techniques to establish structure-function relationships that drive biological performance. You will also integrate high-throughput formulation, laboratory automation, and AI/ML-enabled approaches to accelerate LNP discovery and support data-driven decision-making across multidisciplinary research programs.

Here's What You'll Do
  • Drive research programs on targeted, extra-hepatic LNP delivery-from hypothesis generation through in-vitro / in-vivo evaluation
  • Develop and optimize LNP self-assembly processes; refine composition, payload loading, and surface modifications for tissue and cell-type specificity
  • Advance LNP formulation discovery by leveraging high-throughput formulation, automation, and AI/ML-enabled data analysis to accelerate innovation, optimize formulations, and drive data-informed decision-making across multidisciplinary teams
  • Independently Design and execute experiments; analyze, interpret, and clearly communicate data to multidisciplinary project teams and leadership
  • Implement and innovate advanced physicochemical and biophysical characterization methods (e.g., DLS, CryoEM, SAXS, ITC, NMR, nFCM etc) to elucidate structure-function relationships
  • Maintain rigorous electronic laboratory notebooks, SOPs, and study documentation consistent with company expectations
  • Provide scientific leadership and mentorship to research associates while partnering with cross-functional teams and external collaborators to prioritize activities, solve technical challenges, and ensure the timely achievement of project objectives and key milestones.


Here's What You'll Need (Basic Qualifications)
  • Ph.D. in Pharmaceutical Sciences, Chemistry, Chemical Engineering, Materials Science, or a related discipline with 2+ years of experience.
  • Deep expertise in lipid nanoparticle (LNP) design, formulation, and physicochemical characterization, with experience advancing targeted or extra-hepatic delivery platforms preferred.
  • Demonstrated experience implementing high-throughput formulation workflows, laboratory automation, and computational or AI/ML-enabled data analysis to accelerate discovery and support data-driven decision-making.
  • Proven leadership experience mentoring scientists and research associates, with a track record of driving cross-functional collaboration and delivering research objectives in a fast-paced environment.
  • Proficiency with a broad suite of analytical techniques for nanoparticle size, morphology, composition, and stability assessment
  • This position is site-based, requiring you to be at Moderna's site full-time. This position is not eligible for remote work


Here's What You'll Bring to the Table (Preferred Qualifications)
  • Demonstrated ability to plan and manage multiple projects in a highly collaborative, fast-paced setting
  • Clear, concise scientific communication-written and verbal-with a track record of peer-reviewed publications and/or patents
  • Commitment to inclusive teamwork, continuous learning, and high scientific rigor


Pay & Benefits

At Moderna, we believe that when you feel your best, you can do your best work. That's why our benefits and well-being resources are designed to support you-at work, at home, and everywhere in between.
  • Competitive healthcare, plus voluntary benefit programs to support your unique needs
  • A holistic approach to well-being, with access to fitness, mindfulness, and mental health support
  • Family planning benefits, including fertility, adoption, and surrogacy support
  • Generous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown
  • Savings and investments to help you plan for the future
  • Location-specific perks and extras

The salary range for this role is $130,800.00 - $209,400.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An individual's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, performance, and business or organizational needs.The successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance.

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