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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 https://www.jnj.com

Job Function:

Career Programs

Job Sub** **Function:

Post Doc – Drug Discovery & Pre-Clinical/Clinical Development

Job Category:

Career Program

All Job Posting Locations:

Cambridge, Massachusetts, United States of America

Job Description:

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 seeking a dedicated **Postdoctoral Scholar** to join the _In Silico_ Discovery team within the Therapeutics Discovery organization in **Cambridge, MA** .

The focus of this position is to develop and apply pioneering computational methods to accelerate the discovery of orally bioavailable peptide therapeutics. The successful candidate will be a highly motivated and technically skilled individual with a strong background in computational chemistry or computational biophysics. This postdoctoral position will last 24 months and offers an exciting opportunity to drive innovation in this emerging therapeutic modality.

Key Responsibilities include:

+ Developing novel physics- and ML-based approaches to peptide structure prediction and design

+ Developing novel physics- and ML-based approaches to predicting molecular properties that drive membrane permeability and oral bioavailability

+ Evaluating existing methods to computationally screen peptide candidates for desired properties

+ Working directly with wet-lab scientists across Therapeutics Discovery to design and optimize peptides with specific properties

+ Presenting work in oral or written form at conferences, internal meetings and journals

Required Knowledge, Skills, and Abilities:

+ A Ph.D. in chemistry, biophysics, computational chemistry, chemical engineering, or a related field. Degree must be completed within the past 3 years or to be completed within the upcoming 6 months.

+ Advanced working knowledge of computational molecular modeling including both application of existing tools and development of new tools

+ Advanced fluency in Python and related data-science packages (e.g. Pandas, NumPy, sci-kit learn)

+ Experience using Schrodinger, Rosetta, MOE, GROMACS, NAMD, OpenMM or other molecular simulation software.

+ Proven scientific excellence as evidenced by publications, patents, and presentations.

+ Excellent interpersonal, communication, and presentation skills.

Preferred Knowledge, Skills and Abilities:

+ Experience with high performance computing including either on-premises and cloud computing architectures.

+ Experience with ML packages for protein modeling and design such as AlphaFold, RFDiffusion, ProteinMPNN, etc.

+ Familiarity with cheminformatics toolkits (e.g., rdkit, OpenEye)

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 and 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, please email the Employee Health Support Center ([email protected]) or contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is :

$77,000-$124,200

Additional Description for Pay Transparency:

The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Employees are eligible for the following time off benefits: Vacation – up to 120 hours per calendar year Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. http://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.