SCIENTIFIC DIRECTOR, COMPUTER-AIDED DRUG DESIGN (CADD / COMPUTATIONAL CHEMISTRY) - SPRING HOUSE, PA

Johnson & Johnson Innovative Medicine is recruiting for a Scientific Director, Computer-Aided Drug Design (CADD, Computational Chemistry) located on site in Spring House, PA (Philadelphia area).
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.
nj.
om/.
At J&J Innovative Medicine (JJIM) we work to create a world without disease.
Transforming lives by finding new and better ways to prevent, intercept, treat and cure disease inspires us.
We bring together the best minds and pursue the most promising science.
We collaborate with the world for the health of everyone in it.
Learn more at www.
nj.
om/innovative-medicine and follow us @JNJInnovMed.
The Therapeutics Discovery organization within JJIM R&D is continuing to build scientific expertise in predictive and generative modeling, screening, pharmacology and chemistry to partner closely with therapeutic area scientists to develop groundbreaking new medicines in the areas of Immunology, Neuroscience, Oncology, Cardiovascular and Retina.
The In Silico Discovery (ISD) department in Therapeutics Discovery is driving the next wave of computational drug design and is seeking a CADD leader to actively drive innovation of exciting and novel AI/ML and physics-based technologies to drug discovery.
Key Responsibilities Include.
Lead a local team of about 10 CADD scientists that are embedded in drug discovery projects Shape and drive the scientific and organizational strategy of ISD at JJIM as member of the global CADD leadership team Shape and implement computational strategies to support innovative modality-agnostic drug discovery at JJIM R&D by researching and incorporating new physics-based and AI/ML techniques and platforms Represent In Silico Discovery in governance forums and external collaborations Serve as a scientific expert with both internal and external partners, and provide recommendations regarding technologies, targets, and emerging external opportunities Ensure optimal interaction and communication within the CADD, ISD, and Therapeutics Discovery organizations Collaborate with other departments at JJIM to deliver solutions that integrate computational approaches Qualifications A PhD in computational chemistry or a related field, with at least 12 years of experience applying AI/ML and physics-based computational modeling in a pharmaceutical industry drug design setting with a track record of key contributions to compound progression is required Strong record of creative scientific contributions including peer reviewed first-author publications, patent applications, and presentations at major national meetings is required Experience leading a team of computational scientists is required Experience working in a cross-functional environment, mentoring scientists, influencing decisions and resolving conflicts is required Experience with multiple therapeutic modalities (e.
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small molecules, biologics, peptides, targeted protein degraders) is strongly preferred Familiarity with commercial and open source computational drug discovery platforms (examples may include, Maestro/Schrodinger, MOE/Chemical Computing Group, and/or OpenEye tools) is required This position requires full time hours located on-site in Spring House, PA and requires up to approximately 10% travel domestically and internationally.  Johnson & Johnson is an Affirmative Action and 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, or protected veteran status and will not be discriminated against on the basis of disability.  The anticipated base pay range for this position is $ to $.
The compensation and benefits information set forth in this posting applies to candidates hired in the United States.
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)).
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 •           Holiday pay, including Floating Holidays – up to 13 days per calendar year •           Work, Personal and Family Time - up to 40 hours per calendar year For additional general information on Company benefits, please go to.
- https://www.
areers.
nj.
om/employee-benefits.
For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.
areers.
nj.
om.
This job posting is anticipated to close on .  The Company may however extend this time-period, in which case the posting will remain available on https://www.
areers.
nj.
om to accept additional applications.
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areers.
nj.
om/data-science #JNJDataScience IND7