This job posting is anticipated to close on Aug 04 2026. We may however extend this time period, in which case the posting will remain available on www.careers.jnj.com to accept additional applications.
Description
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Discovery & Pre-Clinical/Clinical DevelopmentJob Sub Function:
Biotherapeutics R&DJob Category:
Scientific/TechnologyAll Job Posting Locations:
Malvern, Pennsylvania, United States of AmericaJob Description:
About Innovative Medicine:
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at https://www.jnj.com/innovative-medicine
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
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.
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