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SENIOR SCIENTIST, COMPUTER-AIDED DRUG DESIGN (CADD) – LA JOLLA, CALIFORNIA

San Miguel de la Ribera - Zamora

Descripción de la oferta de empleo

Janssen Research & Development, L.
.
., a division of Johnson & Johnson's Family of Companies, is recruiting for a Senior Scientist, Computer-Aided Drug Design (CADD, Computational Chemistry), located in San Diego, CA (La Jolla area).
At the Janssen Pharmaceutical Companies of Johnson & Johnson, 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.
anssen.
om and follow us @JanssenGlobal.  Janssen Research & Development, LLC is part of the Janssen Pharmaceutical Companies.
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/.
The Therapeutics Discovery organization within Janssen R&D is continuing to build scientific expertise in modeling, screening, pharmacology and chemistry to partner closely with therapeutic area scientists to develop groundbreaking new medicines in the areas of Immunology, Neuroscience and Oncology.
 The In Silico Discovery (ISD) group in Therapeutics Discovery is seeking excellent scientists to bring their expertise to exciting and novel areas of computational drug design.
Key Responsibilities Include.
Design therapeutic molecules and calculate their properties using state-of-the-art methodologies integrating chemical, biological and structural data, cheminformatics, and artificial intelligence/machine learning techniques Serve as a scientific expert in multi-disciplinary discovery project teams that include synthetic chemists, structural biologists, and other discovery scientists, by providing key expertise in the use and interpretation of data related to drug targets and their ligands Collaborate within Janssen and with external academic and industrial partners to develop new computational technologies to address key questions in drug discovery Publish results in peer reviewed journals and present at scientific meetings Mentor junior scientists, fostering their development as expert computational drug hunters Qualifications A PhD in computational chemistry or a related field, with at least 3-5 years of experience applying computational modeling in a pharmaceutical industry drug design setting is required Excellent written and verbal communication skills, and a strong publication record is required Experience with multiple therapeutic modalities (e.
.
small molecules, biologics, peptides, targeted protein degraders) is preferred Experience with one or more of.
working in a cross-functional environment, mentoring scientists, influencing decisions and resolving conflicts is strongly preferred Familiarity with at least one standard computational drug discovery package (examples may include, Maestro/Schrodinger, MOE/Chemical Computing Group, and/or OpenEye tools) is required Experience scripting computational workflows in Pipeline Pilot, Knime, Python or Jupyter notebooks is preferred Located on site in San Diego, CA (La Jolla, area) and requires up to 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.
  https://www.
areers.
nj.
om/data-science #JNJDataScience IND7
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Detalles de la oferta

Empresa
  • Sin especificar
Localidad
Dirección
  • Sin especificar - Sin especificar
Fecha de publicación
  • 05/04/2024
Fecha de expiración
  • 04/07/2024
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