Job Function:
Discovery & Pre-Clinical/Clinical Development
Job Sub Function:
Biotherapeutics R&D
Job Category:
Scientific/Technology
All Job Posting Locations:
Malvern, Pennsylvania, United States of America
Job Description:
We are searching for the best talent for Senior Scientist, In-Silico Formulations, located in Malvern, PA.
Purpose:
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. In this role the candidate will be responsible for applying computational methods, including antibody homology modeling, molecular dynamics, intrinsic property calculations, and artificial intelligence/machine learning (AI/ML) to guide formulation selection and optimization.
Additionally, the candidate will advance various drug development projects, participate in multi-disciplinary teams including biologists, chemical engineers, pharmacists, and structural biologists, and provide key expertise in the use and interpretation of structural data related to drug development.
You will be responsible for:
- Execution of sophisticated experiments using advanced computational techniques on local workstations and/or remote servers.
- Clearly communicating the results of computational experiments to team members facilitating the formulation selection/optimization of new antibodies.
- Developing novel computational methods to address key drug development questions.
Qualifications / Requirements:
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
Experience and Skills Required:
- 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) is preferred.
- 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
- Ability to build clean databases using available formulation data and generate statistical models with predictive ability
- 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
Required Skills:
Preferred Skills:
Analytical Reasoning, Biochemistry, Chemistry, Manufacturing, and Control (CMC), Coaching, Consulting, Critical Thinking, Drug Discovery Development, Emerging Technologies, Molecular Diagnostics, Pharmacogenetics, Pharmacovigilance, Process Improvements, Quality Assurance (QA), Relationship Building, Research Documents, Scientific Research, Technologically Savvy
