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Principal Data Scientist - R&D DSDH - Therapeutics Discovery (TD)
- United States
- United States
About
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function: Data Analytics & Computational Sciences
Job Sub Function: Data Science
Job Category: Scientific/Technology
All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Spring House, Pennsylvania, United States of America
Job Description:
Johnson & Johnson Innovative Medicine is recruiting for
Principal Data Scientist - R&D DSDH - Therapeutics Discovery (TD)
The primary location for this position is open to Spring House, PA; Titusville, NJ; Spring House, PA; Cambridge, MA; San Diego, CA; Beerse, Belgium; Madrid, Spain; or Barcelona, Spain.
Candidate Interested in our EMEA based locations, please apply to
R-069202
About the Role
Johnson & Johnson Innovative Medicine is seeking a highly skilled
R&D Data Scientist
to support our
Therapeutics Discovery (TD)
organization. This role sits within the
R&D Data Science
group and will focus on building and applying advanced
Machine Learning (ML)
and
Data Engineering
solutions that accelerate scientific innovation across the drug discovery lifecycle. The ideal candidate brings strong computational expertise and a solid scientific understanding of early R&D, including areas such as
Target Identification & Assessment ,
Lead Identification & Optimization ,
Mechanistic / Mode of Action studies , and
Lab Automation & high-throughput experimentation .
The Data Scientist will collaborate closely with discovery scientists, automation engineers, computational biologists, and platform technology teams to transform complex, multimodal R&D data into actionable insights that drive therapeutic innovation.
Key Responsibilities
Machine Learning & Modeling
Develop ML/AI models that support discovery workflows, including target prioritization, multi-omics integration, and mechanistic inference. Apply modern ML approaches (e.g., deep learning, graph learning, foundation models, generative models) to chemical, biological, imaging, and assay datasets. Build and optimize models for real-world R&D use cases, ensuring scalability, interpretability, and scientific rigor. Data Engineering & Pipeline Development
Design, build, and maintain robust data pipelines that curate, standardize, and integrate diverse R&D datasets (chemical, biological, multi-omics, imaging, biophysical, automation logs, etc.). Partner with platform teams to implement best-practice MLOps/DevOps workflows and deploy ML models into production R&D environments Develop tooling that accelerates dataset preparation, feature engineering, and model lifecycle management across TD. Scientific Partnership
Work hand-in-hand with TD scientists to understand key biological and chemical questions and shape computational strategy accordingly. Translate sparse, heterogeneous experimental datasets into insights that guide decision-making in hit discovery, mechanism studies, perturbation experiments, and compound optimization. Participate in design, interpretation, and iterative refinement of discovery experiments. Innovation & Collaboration
Partner with cross-functional teams in R&D Data Science, IT, platform engineering, and therapeutic area groups to drive AI/ML adoption. Contribute to evaluating new analytical methods, automation technologies, and data platforms supporting next-generation discovery science. Champion high standards for data quality, documentation, governance, and reproducibility. Qualifications
Required
Master's or Ph.D. in Computational Biology, Bioinformatics, Data Science, Chemistry, Chemical Biology, Biomedical Engineering, Computer Science, or related field. Experience applying ML/AI in scientific domains (drug discovery, biology, chemistry, systems biology, imaging, or related areas). Strong programming skills in
Python
(preferred) and experience with scientific/ML libraries (PyTorch, TensorFlow, scikit-learn, RDKit, etc.). Practical experience with
data engineering , including data modeling, workflow orchestration, ETL/ELT pipelines, and cloud computing environments (AWS, GCP, or Azure). Ability to work directly with experimental scientists to solve real R&D challenges. Preferred
Experience in
pharma or biotech discovery , including target assessment, phenotypic screening, medicinal chemistry workflows, and lab automation. Familiarity with
omics ,
high-content imaging ,
chemical structure data , or
biological assay data . Knowledge of data standards (e.g., FAIR, ontologies, controlled vocabularies) and working within regulated or quality-governed environments. Strong communication skills and ability to thrive in a matrixed, multidisciplinary environment.
Why This Role Is Unique
This is a rare opportunity to grow in one of the world's most ambitious and fastest-growing Pharma R&D Data Science organizations, shaping how TD data powers next-generation therapies in the largest biomedical company on the planet. Your work will directly accelerate Johnson & Johnson's scientific discovery, fuel AI innovation, and impact patients globally.
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 & 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, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.
#JRDDS
#JNJDataScience
JNJIMRND-DS
Required Skills:
Preferred Skills: Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis
The anticipated base pay range for this position is : $117,000.00 - $201,250.00
Additional Description for Pay Transparency: Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits
Languages
- English
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