Description:
Johnson & Johnson Innovative Medicine is recruiting for a Principal Scientist, Discovery Data Science to help advance Artificial Intelligence/Machine Learning (AI/ML) for Drug Discovery. The preferred location for this position is our R&D site in La Jolla - CA. Consideration may be given to candidates located near other R&D sites in Spring House, PA or Beerse, Belgium. Remote work options in the US may be considered on a case-by-case basis and if approved by the Company.
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/.
Within Janssen R&D, the Therapeutics Discovery organization is continuing to build the key scientific expertise to bring ground-breaking new medicines to patients; we invest in medicinal chemistry, screening, and pharmacology, and in the computational and data science fields that inspire and inform them.
Many aspects of the drug discovery process are being partially virtualized: modelling methodologies prescreen existing or virtual molecules (including antibodies, degraders, etc.) for relevant properties, and focusing experimental bandwidth to make and test those molecules that hold the most promise.
The Principal Scientist will invent, internalize, and apply creative yet scientifically sound data science solutions to virtually assess molecules in the broadest possible sense. The position’s scope includes methodological innovation as well as crafting data generation, acquisition, and alliance strategies.
The successful candidate will be actively involved in method development and project support in collaboration with data science teams, computational and experimental protein scientists, computational and medicinal chemists, project biologists, toxicology and pharmacokinetics and IT colleagues.
Key responsibilities include:
- Contribute to developing data science applications with a focus on antibodies and targeted protein degradation discovery across different therapeutic areas and projects.
- Bridge between experimental and groundbreaking digital technologies, expertise in machine learning and artificial intelligence (AI) as applied to drug discovery.
- Interact in a team environment built on trust and collegiality.
- Communicate effectively and encourage colleagues to do so.
- Evaluate and make recommendations regarding the internalization, conceptualization and development of innovative technologies.
- Impact sound application of science within the company and beyond.
- Publish in peer-reviewed journals and present at scientific meetings.
Qualifications:
- PhD in data science or computational science, or other drug discovery related fields, with expert level training in data science, AI/ML and other in silico related work aligned to drug discovery is required.
- At least 3 years of experience applying data science and technology in an industry facing drug design setting is required.
- Experience working with data analytics and predictive modeling in the discovery of either large molecules or small molecules is required. Experience with both small and large molecules is preferred.
- Experience with Python is required.
- Experience with data visualization, feature development, large language models, generative methods, are preferred.
- Self-motivation, proactivity, team spirit, enthusiasm, confidence and dedication are required.
- Experience with working in a cross-functional or matrixed team environment is required.
- Track record of planning and delivering on complex projects with a robust scientific footing is a plus.
- Strong publication record is preferred.
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 $113,000 to $195,500. 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.
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; 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
For additional general information on Company benefits, please go to: https://www.careers.jnj.com/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.careers.jnj.com.
This job posting is anticipated to close on 04/26/2024. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.
https://www.careers.jnj.com/data-science
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