Sr Principle Data Scientist - DDSAI - Therapeutics Discovery

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 jnj.com

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

Job Description:

Johnson & Johnson Innovative Medicine is recruiting for Sr Principle Data Scientist - DDSAI - Therapeutics Discovery

The primary location for this position is Cambridge, MA.

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ 

To achieve JJIM R&D's goal of growing the number of internally originated drugs brought to the market, it is necessary to enable expedited exploration of a larger and more diverse molecular space. This can be achieved through the implementation of automation, utilization of novel modalities, profiling approaches, and the application of data science. The success of these endeavors is dependent on the modernization of technology platforms that facilitate automated laboratory systems, seamless integration and analysis of generated data, and provide valuable insights and decision-making support to researchers.

Join us as a Data Scientist and play a pivotal role in the creation of a suite of innovative biologics discovery solutions, developed through a dynamic collaboration between R&D Data Science, Therapeutics Discovery, and IT. These solutions will enhance the impact of AI/ML and advanced analytics in our drug discovery processes, accelerating timelines through improved, data-driven decision-making. Your primary focus will be to design, build, and maintain a configurable, user-friendly, scalable, and integrated suite of data pipelines and workflows to drive scientific learning in Therapeutics Discovery. We invite you to join our vibrant team dedicated to redefining the future of scientific discovery, where your contributions will truly make a difference!

In order to scientifically collaborate with our Therapeutics Discovery – Biologics department, the candidate needs a basic understanding of biology, antibody design, and protein engineering. This knowledge helps the candidate design and develop data solutions that align with our Biologics workflows, such as data analysis tools, modeling solutions, or visualization platforms.

Key Responsibilities:

• Design, develop, and maintain our Discovery Biologics data pipelines, integrating third party solutions, and data ingestion from our external partners.
• Collaborate with data product owners, data scientists, analysts, architects, and other partners to understand data requirements and deliver high-quality solutions that enable Discovery processes for Biologics.
• Build integrations with Therapeutics Discovery systems, Discovery data repositories, data ingestion from external parters, and other adjacent sources.
• Optimize data workflows with implementations enabling ease of use, performance, scalability, and reliability.
• Monitor and solve platform issues, ensuring timely resolution.

Qualifications

Required:

• Advanced degree in Computational Biology, Bioinformatics, Data Science, Biomedical Engineering, Computer Science, or related fields.

• Experience applying ML/AI in scientific domains (drug discovery, biology, chemistry, systems biology, 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 working in a life science environment, ideally antibody or protein engineering
• Excellent problem-solving and analytical skills.
• Familiarity integrating data across HPC and/or MLOps tools.
• Less than 10% domestic or international travel.

 

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, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility

 

 

The anticipated base pay range for this position is :

$137,000.00 - $235,750.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are 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.



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