Scientist/Senior Scientist, Process Sciences and Innovation

About the Company

Strand Therapeutics is a clinical-stage biotechnology company pioneering programmable mRNA therapeutics to unlock the full potential of genetic medicines. Founded by MIT synthetic biology pioneers, Strand is advancing a pipeline focused on oncology and autoimmune diseases using its proprietary Signal Stack platform.

Responsibilities

• Own the technology scouting function for Process Development by identifying and evaluating emerging technologies for mRNA and LNP manufacturing.
• Design and execute experimental studies to challenge existing process paradigms in mRNA synthesis, purification, and LNP formulation.
• Partner with Analytical Development to implement advanced characterization methods, process analytical technologies (PAT), and in-line monitoring.
• Evaluate emerging instrumentation, automation platforms, and data science approaches to accelerate development.
• Develop innovative strategies to improve process performance, scalability, and product quality.
• Lead scientific investigations into complex process challenges and provide technical leadership.
• Build and manage relationships with technology vendors, CROs, and academic collaborators.
• Mentor junior scientists and maintain technical documentation including electronic lab notebooks and reports.

Requirements

• B.S. or Advanced Degree in Chemical Engineering, Biochemical Engineering, Pharmaceutical Sciences, Biotechnology, Biochemistry, or Molecular Biology.
• Significant industry experience developing mRNA, lipid nanoparticle (LNP), or related nucleic acid therapeutic products.
• Deep understanding of DNA/mRNA synthesis, purification, and characterization.
• Proven track record of implementing new technologies or workflows to improve process efficiency or quality.
• Experience with Design of Experiments (DOE) and data-driven process optimization.
• Strong ability to collaborate across scientific disciplines and communicate complex technical concepts.

Preferred Qualifications

• Experience with LNP development.
• Familiarity with automation, digital process development, and advanced data analysis techniques.
• Experience with multivariate analysis and mechanistic process understanding.