The scientist will develop predictive mechanistic models and computational workflows to optimize the biocatalytic assembly of oligonucleotides. This involves leveraging high-throughput experimentation to parameterize kinetic models and collaborating across multidisciplinary teams to accelerate process development.
Requirements:
Candidates must hold a PhD in chemical engineering, chemistry, or a related field with expertise in modeling and simulation. Proficiency in programming tools like MATLAB or Python and experience with biocatalytic systems are highly preferred.
Key Skills:
- Mechanistic Modeling
- Simulation
- Biocatalytic Reaction Systems
- Kinetic Modeling
- MATLAB
- Python
- Nucleic Acid Thermodynamics
- High-Throughput Experimentation
- Lab Automation
- Chemical Engineering
- Oligonucleotide Synthesis
- Enzymatic Ligation
- Process Optimization
- Scientific Writing
- Collaboration
- Data Analysis
Benefits:
- Company bonus
- 401(k)
- Pension
- Vacation benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Prescription drug benefits
- Flexible spending accounts
- Life insurance
- Death benefits
- Employee assistance program
- Fitness benefits
Post-Doctoral Scientist – Mechanistic Modeling & Simulation(SMDD) in boston at Unknown Company
This position is listed as full time and onsite.