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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 SavvySkills Required
- Ph.D. in chemical engineering, computational sciences, bioengineering, chemistry, biophysics, or related field OR Master's with 3+ years related experience OR Bachelor's with 6+ years related experience
- Demonstrated ability to model and simulate diverse modalities (small molecules, proteins, lipids, DNA/RNA)
- Excellent written and verbal communication skills
- Expertise using molecular dynamics packages (GROMACS, NAMD, Amber, CHARMM)
- Experience with modeling/visualization tools (MOE, Schrodinger, VMD, PyMOL)
- Proficiency with data analysis/automation methods (Linux/Unix shell scripting, Python)
- Experience applying artificial intelligence / machine learning methods to real-world problems
- Experience building/curating databases and generating predictive statistical models from formulation data
- Knowledge of large-scale data handling (extraction, manipulation, merging multiple data sources)
- Track record of publications in protein structure analysis and ability to work with multidisciplinary teams
- Familiarity with formulation and analytical techniques (excipients selection/optimization, conformational stability, HPLC-SEC, light scattering, particle measurement, high-throughput screening)
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
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Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
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Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
Johnson & Johnson Insights
What We Do
Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines








