Post-Doctoral Scientist – Mechanistic Modeling & Simulation(SMDD)

Responsibilities:
- Build predictive mechanistic models of enzymatic ligation kinetics for biocatalytic assembly of oligonucleotides.
- Use mechanistic modeling to develop in-silico optimization workflows for enzymatic ligation (EL), parameterizing thermodynamic and kinetic models using high-throughput experimentation.
- Collaborate across and beyond SMDD to accelerate process optimization using computational tools.
- Generate process understanding to advance scalable, versatile synthesis platforms for genetic medicines.
- Present findings at conferences and publish in peer-reviewed journals.

Top Candidates Will Be Expected To:
- Initiate cross-disciplinary collaborations and understand/prioritize key process development challenges.
- Demonstrate independence, self-motivation, and rapid learning of new scientific methods.
- Communicate effectively (oral/written) and use the scientific method to adapt to ambiguity and change.

Basic Requirements:
- PhD in chemical engineering, chemistry, or related field with modeling and simulation experience.
- Must be authorized to work in the United States on a full-time basis; visa sponsorship not provided.

Additional Skills/Preferences:
- Experience with biocatalytic reaction systems and kinetic modeling.
- Programming/modeling tools (e.g., MATLAB, Python).
- Familiarity with nucleic acid structure/thermodynamics prediction; lab automation and high-throughput experimentation.
- Interpersonal/collaborative skills; ability to prioritize multiple activities; influence others positively; awareness of scientific/regulatory landscape; external publication record.

Additional Information:
- Travel: 0–10%.
- Location: Lilly Seaport Innovation Center, Boston, MA.
- Fixed term up to 3 years.
- Expected external publication and computational workflows for internal development.