Process Development Scientist at Strand Therapeutics

Compensation

$120,000 – $142,000/yr

Setup: Hybrid
Location: Boston, Massachusetts
Type: Full-time
Posted: Jun 12, 2026

Description

Strand Therapeutics is seeking a highly motivated and innovative Scientist or Senior Scientist to join their Process Development team. This role involves leading Process Sciences & Innovation across mRNA and lipid nanoparticle (LNP) platforms, focusing on transforming mRNA/LNP therapeutics development and manufacturing. The successful candidate will possess deep expertise in mRNA and LNP development, understand emerging technologies, and translate novel ideas into practical solutions.

Required Skills

DNA/mRNA synthesis
purification
characterization
LNPs
process development principles
analytical technologies
process analytical technologies (PAT)
in-line monitoring
automation
digital process development
data analysis techniques
Design of Experiments (DOE)
multivariate analysis
mechanistic process understanding
data-driven process optimization

Additional Information

Required Previous Experiences: Significant industry experience developing mRNA, lipid nanoparticle (LNP), or related nucleic acid therapeutic products, with demonstrated technical leadership and scientific innovation.
Demonstrated ability to think creatively and challenge conventional approaches to solve complex technical problems.
Experience designing and executing experimental studies that generate actionable scientific insights and drive strategic decision making.
Experience collaborating across scientific disciplines, particularly with Analytical Development, Research, Manufacturing, and external partners.
Preferred Qualifications: experience with LNPs
Familiarity with advanced analytical technologies, process analytical technologies (PAT), in-line monitoring, automation, digital process development, and advanced data analysis techniques is highly desirable.
Experience with Design of Experiments (DOE), multivariate analysis, mechanistic process understanding, and data-driven process optimization approaches.