Senior Scientist I, Aerosol Design & Transport

Flagship Pioneering, Inc.•Cambridge, MA

13d•$126,000 - $159,500•Onsite

About The Position

We are seeking a Senior Scientist to lead the design, characterization, and performance optimization of aerosolizable particle systems. This role will be responsible for developing a foundational understanding of how engineered particles behave during generation, dispersion, and transport in air, and translating that understanding into robust, scalable material and system designs. The Senior Scientist will operate at the interface of materials science, aerosol physics, and experimental engineering — owning the development of aerosol testing capabilities, guiding experimental strategy, and linking particle design to airborne performance. This individual will play a critical role in shaping early technical direction, establishing core methodologies, and driving progress from concept through validation. This is a highly cross-functional role, working closely with formulation, process development, and hardware teams to ensure tight integration between particle design, production methods, and real-world deployment constraints.

Requirements

PhD in aerosol science, chemical engineering, mechanical engineering, physics, materials science, or a related discipline, with 5+ years of relevant industry or applied research experience (or Master’s/Bachelor’s with significant additional experience);
Deep expertise in aerosol science, including particle generation, transport, and measurement, with a strong understanding of how particle properties influence airborne behavior;
Hands-on experience with aerosol instrumentation (e.g., SMPS, APS, optical particle counters) and the ability to design and interpret complex experiments;
Strong foundation in transport phenomena, fluid dynamics, and particle physics as applied to airborne systems;
Experience working with particulate materials, including connecting physical properties (size, shape, density, surface characteristics) to performance outcomes;
Demonstrated ability to design experimental systems and build or adapt setups for aerosol generation and testing;
Proven ability to lead technical projects in fast-paced, early-stage environments, balancing hands-on work with strategic thinking;
Strong communication and documentation skills, with the ability to synthesize complex technical findings into clear, decision-relevant insights;
Demonstrated curiosity, adaptability, and comfort working across disciplines to translate early-stage scientific ideas into functional systems.

Nice To Haves

Experience with modeling aerosol transport and dispersion using Lagrangian particle dispersion models, computational fluid dynamics (CFD) simulations, or related numerical approaches is a strong plus

Responsibilities

Lead the design and optimization of particle systems for aerosolization, with ownership over key parameters including size distribution, morphology, density, and dispersibility;
Develop and scale experimental capabilities for aerosol generation and testing, including selection, design, and validation of dispersal systems and measurement tools;
Define and execute experimental strategies to understand relationships between particle properties, environmental conditions, and airborne behavior;
Characterize aerosol performance using appropriate instrumentation (e.g., particle sizers, optical counters, flow diagnostics), and translate findings into design rules and system improvements;
Develop and apply computational approaches to model aerosol physics and particle dispersal, integrating atmospheric transport and dispersion models or Lagrangian particle simulations with experimental data to inform particle and system design;
Collaborate cross-functionally with formulation and process development teams to align particle production methods with aerosol performance requirements;
Establish best practices, workflows, and technical standards for aerosol experimentation, including calibration, reproducibility, and data quality;
Interpret complex datasets and communicate insights clearly to guide technical and strategic decision-making;
Contribute to system-level thinking around particle generation, dispersion, and scale-up, incorporating constraints from real-world operating environments;
Mentor junior scientists and contribute to building a strong experimental and technical culture within the team.