Protein Engineer for Enzyme Design & Biomanufacturing

AeroVironment; Bath Charter Township (MI); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) with company matching

9/80 work schedule

Paid holiday shutdown

Job summary

AeroVironment is seeking a Scientist or Engineer to advance protein and strain engineering for biomaterials within the Biomaterials Branch of the Foundational Technologies Directorate. The role involves basic and applied research to discover, optimize, and scale enzymes for diverse environments, using model and non-model organisms.

Responsibilities include genetic tool development, high-throughput screening, and cross-functional collaboration with computational and experimental teams to enable

Qualifications

• PhD in a relevant field or MS with substantial HTS experience.
• Experience with enzyme engineering, directed evolution, and structure-function studies.

Responsibilities

• Engineer enzymes and host strains for biomaterial applications.
• Design and optimize metabolic pathways for precursor biosynthesis.
• Develop high-throughput screening workflows and assays.
• Collaborate with computational scientists to integrate omics data and modeling.

Skills

Protein engineering

Strain engineering

Bioprocess development

Interdisciplinary collaboration

Bioinformatics

Education

PhD in Chemistry/Biochemistry/Molecular Biology/Bioengineering

MS + 4+ years HTS experience

Tools

Gibson Assembly

Golden Gate cloning

CRISPR gene editing

FPLC purification

AlphaFold/Rosetta

Job description

AeroVironment is seeking a Scientist or Engineer to advance protein and strain engineering for biomaterials within the Biomaterials Branch of the Foundational Technologies Directorate. The role involves basic and applied research to discover, optimize, and scale enzymes for diverse environments, using model and non-model organisms.

Responsibilities include genetic tool development, high-throughput screening, and cross-functional collaboration with computational and experimental teams to enable