Senior Scientist, In-Silico Formulations

About the role

The Senior Scientist, In-Silico Formulations will work in the Protein Drug Product Development & Delivery (DPD&D) department. This role requires expertise in computational biophysics, protein computational modeling, and/or formulation science.

Responsibilities

• Execute sophisticated experiments using advanced computational techniques on local workstations and/or remote servers.
• Clearly communicate the results of computational experiments to team members, facilitating the formulation selection/optimization of new antibodies.
• Develop novel computational methods to address key drug development questions.

Requirements

• A minimum of a Ph.D. in chemical engineering, computational sciences, bioengineering, chemistry, biophysics, or related subject area OR master’s degree with at least 3 years of related experience OR bachelor’s degree with at least 6 years of related experience.
• Expertise using molecular dynamics packages (e.g., GROMACS, NAMD, Amber, CHARMM), modeling/visualization tools (e.g., MOE, Schrodinger, VMD, PyMOL), and data analysis/automation methods (e.g., shell scripting and Python).
• Demonstrated ability to model and simulate diverse modalities (e.g., small molecules, proteins, lipids, DNA/RNA, etc.).
• Excellent writing and verbal skills.
• Preferred Techniques: (excipients/formulation selection and optimization, conformational stability, protein-protein interactions, high-throughput screening, HPLC-SEC, light scattering, particle measurement)
• Proficient using Linux/Unix shell scripting and Python (or similar languages) to perform complex analyses, build computational workflows, and implement new algorithms/models.
• Demonstrated application of artificial intelligence/machine learning (AI/ML) methods to solve real world problems.
• Knowledge of efficient large-scale data handling (i.e., extraction, manipulation, and merging multiple data sources).
• Capable of working with multi-disciplinary teams.
• Strong track record of publication in topics involving protein structure analysis.

Qualifications

• Education: A minimum of a Ph.D. in chemical engineering, computational sciences, bioengineering, chemistry, biophysics, or related subject area OR master’s degree with at least 3 years of related experience OR bachelor’s degree with at least 6 years of related experience.

Skills

• Expertise using molecular dynamics packages (e.g., GROMACS, NAMD, Amber, CHARMM), modeling/visualization tools (e.g., MOE, Schrodinger, VMD, PyMOL), and data analysis/automation methods (e.g., shell scripting and Python).
• Demonstrated ability to model and simulate diverse modalities (e.g., small molecules, proteins, lipids, DNA/RNA, etc.).
• Excellent writing and verbal skills.
• Preferred Techniques: (excipients/formulation selection and optimization, conformational stability, protein-protein interactions, high-throughput screening, HPLC-SEC, light scattering, particle measurement)
• Proficient using Linux/Unix shell scripting and Python (or similar languages) to perform complex analyses, build computational workflows, and implement new algorithms/models.
• Demonstrated application of artificial intelligence/machine learning (AI/ML) methods to solve real world problems.
• Knowledge of efficient large-scale data handling (i.e., extraction, manipulation, and merging multiple data sources).
• Capable of working with multi-disciplinary teams.
• Strong track record of publication in topics involving protein structure analysis.