Johnson & Johnson

Senior Data Scientist, Predictive Analytics/Artifi...

Job description

Job Description

Janssen Research & Development, L.L.C., a division of Johnson & Johnson's Family of Companies is recruiting for a Senior Data Scientist, Predictive Analytics/Artificial Intelligence with a strong preference for this position to be located in Spring House, PA, La Jolla, CA, or Beerse, Belgium. Remote work options may be considered on a case-by-case basis and if approved by the Company.

At the Janssen Pharmaceutical Companies of Johnson & Johnson, we are working 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 are Janssen. We collaborate with the world for the health of everyone in it. Learn more at and follow us @JanssenGlobal. Janssen Research & Development, LLC is part of the Janssen Pharmaceutical Companies.

Discovery Data Sciences (D3S) is part of the In Silico Discovery department within Therapeutics Discovery. It is responsible for providing data analytics and Artificial Intelligence/ Machine Learning (AI/ML) support to the discovery portfolio of Janssen, from Hit Identification phase up to Late Lead Optimization. Within D3S, we have an open position for a Senior Data Scientist to join our Molecule Property Prediction Team, a global group of AI/ML experts with diverse backgrounds that support all disease area project teams with pioneering predictive models aiming to reduce attrition and drive design-make-test cycles.

Our mission is to make diversity & inclusion our way of doing business. We will advance our culture of belonging where open hearts and minds combine to spark the potential of our brilliant mix of people in every corner of Johnson & Johnson.

Key Responsibilities

  • Leverage existing extensive drug discovery datasets and support and inform relevant data generation and acquisition
  • Develop, deploy and maintain AI/ML predictive models for general properties relevant to pharmacokinetics and toxicology
  • Encourage AI/ML democratization and understanding through the development of our AutoML framework, which enables less specialized stakeholders to build models for various additional properties, and periodic trainings to end-users from diverse backgrounds
  • Provide ad hoc support to disease area projects, tackling project-specific compound annotation and design questions with AI/ML and data analytics.
  • Collaborate with colleagues from medicinal and computational chemistry, screening, pharmacological safety, therapeutic areas, IT and ML operations to bring better and safer medicines faster to patients
  • Contribute to the scientific weight of the department by authoring peer-reviewed papers and presenting at relevant conferences and playing an active role in outreach and shaping external collaboration landscapes
Job Qualifications

  • PhD or equivalent experience in machine learning/AI, drug design with a relevant publication track record is required.
  • At least 2 years experience with machine learning/AI or drug design is required.
  • Experience with Transformer models is preferred.
  • Excellent knowledge of Python and affinity with AWS (or similar cloud environments) is preferred.
  • Familiarity with relevant frameworks like PyTorch is a plus.
  • Project management or project coordination experience or consultancy experience is a plus.
  • Prior knowledge of cheminformatics is desired.
  • Strong interpersonal, organizational and communication skills and a strong passion for applying science in real-life industrial problems is required.
  • Motivation to be part of a team that celebrates diversity and offers an inclusive working environment where creativity and innovation can thrive is required.

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.

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit . The anticipated base pay range for this position is $111,000 to $192,000. 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.

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, Work, Personal and Family Time - up to 40 hours per calendar year. Additional information can be found through the link below.

For additional general information on Company benefits, please go to:




Primary Location

NA-US-Pennsylvania-Spring House

Other Locations

Europe/Middle East/Africa-Belgium-Antwerp-Beerse, NA-United States, NA-US-California-La Jolla


Janssen Research & Development, LLC (6084)

Job Function

Digital Product Development

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