Principal Scientist, R&D Data, Data Science & Artificial Intelligence - Immunology

6084-Janssen Research & Development, LLC Legal Entity

Cambridge (MA)

On-site

USD 117,000 - 201,000

Full time

10 days ago

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Medical, dental, vision insurance
401(k) plan
Vacation and holidays

Job summary

Johnson & Johnson Innovative Medicine Research & Development LLC, a Johnson & Johnson company, seeks a Principal Scientist in DDSAI for Immunology to lead data science strategy and AI-enabled initiatives. You will partner with DDSAI and Immunology teams to translate scientific needs into practical data solutions.

You will help shape data-driven decision making across Translational Science, Translational Medicine, Discovery, and Late Development, collaborating with platform and engineering teams

Qualifications

  • Master's degree in engineering, math, or related field, 4+ years experience.
  • 4+ years in pharma R&D or healthcare data science.
  • Ability to work cross-functional in matrixed environments.
  • Experience applying AI to data science and analytics.
  • Familiarity with health datasets and real-world data.

Responsibilities

  • Contribute scientific and strategic input to immunology DDSAI priorities.
  • Define and execute high-impact data science, digital health, AI, and analytics initiatives.
  • Collaborate to design data science use cases and roadmaps from pilot to scale.
  • Understand imaging, digital health, clinical, and real-world data assets.
  • Map workflows to identify automation opportunities and future-state solutions.
  • Partner with platform and engineering teams to build scalable data and AI capabilities.
  • Evaluate emerging technologies including generative AI and agentic systems.
  • Support portfolio intelligence and decision-making across DDSAI objectives.

Skills

Python
R
SQL
Cloud platforms
AI/GenAI
Agentic AI
Data science
Healthcare data
Stakeholder management
Communication

Education

Master's degree in engineering or related field
PhD is a plus

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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 Details

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, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine Research & Development LLC, a Johnson & Johnson company, is recruiting for a Principal Scientist, R&D Data, Data Science & Artificial Intelligence (DDSAI) - Immunology. This position will be located at one of our offices in either Cambridge, MA; Spring House, PA; San Diego, CA; Titusville, NJ; or Raritan, NJ.

Position Summary

The Principal Scientist will be instrumental in contributing to the design, evaluation, and execution of Data Science, Digital Health & AI (DDSAI) strategies in alignment with Immunology Therapeutic Area (IMM TA) priorities and objectives. They will partner with DDSAI colleagues and IMM TA stakeholders to identify, prioritize, and advance data science, digital health, AI, and technology-enabled opportunities across the portfolio. This role helps translate emerging capabilities into practical solutions that improve decision making, research execution, and development outcomes. To successfully meet these objectives, this individual will work closely with clinical project teams and functional partners across Translational Science, Translational Medicine, Discovery, Late Development, Market Access, Medical Affairs, Data Platforms, Insights & Analytics, and other relevant functions.

Responsibilities
  • Contribute scientific and strategic input to Immunology R&D DDSAI priorities spanning individual projects, portfolio initiatives, and collaborations with internal and external partners.
  • Partner with DDSAI colleagues and Therapeutic Area teams to define, evaluate, and execute high-impact data science, digital health, AI, and analytics initiatives aligned with Immunology R&D objectives.
  • Collaborate with Therapeutic Area teams, DDSAI Data Platform teams, Insights & Analytics, and other DDSAI functions to design and implement data science use cases, develop roadmaps from pilot to scale, and identify opportunities for reusable capabilities and workflow standardization.
  • Develop a deep understanding of imaging, digital health, clinical, and real-world data assets and align scientific use cases with appropriate datasets, technologies, and partners.
  • Map and analyze scientific and operational workflows to identify process improvements, automation opportunities, and future-state solutions that enhance research execution.
  • Partner with platform and engineering teams to shape scalable data, analytics, and digital capabilities that are reusable, governed, interoperable, and sustainable.
  • Evaluate and pilot emerging technologies, including generative AI, agentic workflows, workflow automation, and advanced analytics, to assess potential impact on Immunology R&D.
  • Contribute to data innovation and portfolio intelligence activities by identifying emerging technologies, data assets, and capability opportunities that may enhance R&D decision making.
  • Perform detailed analyses, develop high-quality materials, and communicate recommendations in technical and leadership forums to support decision making.
  • Other responsibilities in support of DDSAI objectives and broader R&D priorities, as required.
Required Qualifications
  • Masters degree in engineering, mathematics, or a related scientific discipline with at least 4 years of relevant experience. (PhD is a plus.)
  • At least 4 years of relevant professional or academic experience in pharmaceutical R&D, biotechnology, healthcare, data science, digital health, AI, analytics, or a related field.
  • Demonstrated ability to work effectively in cross-functional and matrixed environments.
  • Experience translating scientific or business needs into practical data, analytics, digital health, or AI-enabled solutions.
  • Demonstrated experience assessing and applying emerging AI technologies, including generative AI and agentic systems, to address scientific, clinical, operational, or business challenges.
  • Strong problem-solving, communication, organizational, and stakeholder engagement skills.
  • Familiarity with healthcare, clinical, imaging, digital health, biomarker, or real-world data.
Preferred Qualifications
  • Advanced degree Experience supporting Immunology or another therapeutic area research and development organization.
  • Experience delivering data science, AI, digital health analytics, or workflow transformation initiatives.
  • Experience working with healthcare datasets, including clinical trial, real-world, imaging, biomarker, omics, or digital health data.
  • Experience with analytical and data science tools such as Python, R, SQL, cloud platforms, or related technologies.
  • Experience contributing to the design, implementation, integration, or scaling of machine learning, generative AI, agentic AI, workflow automation, or digital health solutions in a healthcare or life sciences environment.
  • Familiarity with data platforms, process improvement, workflow design, capability development, or technology enablement initiatives.
Salary and Benefits
  • The anticipated base pay range for this position is $117,000 to $201,250. 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 of Work, Personal and Family Time - up to 40 hours per calendar year. Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits 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.
Required Skills: Preferred Skills:

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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/. Our Credo calls on us to respect the dignity of every individual and create an environment for all people to thrive. Throughout the recruitment process - from application through hiring - we are committed to providing reasonable accommodations/adjustments for qualified candidates with disabilities. If you need support at any stage of the recruitment process, please complete our candidate accommodation request form so we can assist you.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Principal Scientist, R&D Data, Data Science & Artificial Intelligence - Immunology
Principal Scientist, R&D Data, Data Science & Artificial Intelligence - Immunology

Biopharma Asia • Cambridge (MA)

On-site
USD 117,000 - 201,000
Medical insurance
Dental insurance
Vision insurance
+2
Principal Scientist, Data Science – AI & Generative AI Systems – R&D DDSAI – Therapeutics Development & Supply (TDS)
Principal Scientist, Data Science – AI & Generative AI Systems – R&D DDSAI – Therapeutics Development & Supply (TDS)

Johnson & Johnson Co. • Spring House (PA)

On-site
USD 117,000 - 201,000
Vacation 120 hours/year
Sick time 40 hours/year (Colorado 48;
Holiday pay 13 days/year
+3
Senior Manager, Data, Data Science & Artificial Intelligence– Immunology Real World Evidence
Senior Manager, Data, Data Science & Artificial Intelligence– Immunology Real World Evidence

Johnson & Johnson Co. • Raritan (NJ)

Hybrid
USD 137,000 - 236,000
Principal Data Scientist – DDSAI GD
Principal Data Scientist – DDSAI GD

6084-Janssen Research & Development, LLC Legal Entity • Titusville (NJ)

Hybrid
USD 117,000 - 201,000
Senior Scientist Discovery, Immunology
Senior Scientist Discovery, Immunology

Johnson & Johnson Co. • Cambridge (MA)

On-site
USD 109,000 - 175,000
Vacation time (120 hours/yr)
Sick time (40 hours/yr; varying by US)
Parental Leave (480 hours within 1 yr)
+1
Senior Scientist, Data Science - R&D DDSAI - Therapeutics Development & Supply (TDS)
Senior Scientist, Data Science - R&D DDSAI - Therapeutics Development & Supply (TDS)

6084-Janssen Research & Development, LLC Legal Entity • Spring House (PA)

On-site
USD 120,000 - 180,000
Competitive benefits
Senior Manager, Data, Data Science & Artificial Intelligence– Immunology Real World Evidence
Senior Manager, Data, Data Science & Artificial Intelligence– Immunology Real World Evidence

Johnson & Johnson Co. • United States

Remote
USD 137,000 - 236,000
Annual performance bonus
Comprehensive benefits
Senior Manager, Data, Data Science & Artificial Intelligence– Immunology Real World Evidence
Senior Manager, Data, Data Science & Artificial Intelligence– Immunology Real World Evidence

Biopharma Careers • Raritan (NJ)

Hybrid
USD 137,000 - 236,000
Bonus program
Health benefits
Paid time off
+1
Senior Manager, Data, Data Science & Artificial Intelligence- Immunology Real World Evidence
Senior Manager, Data, Data Science & Artificial Intelligence- Immunology Real World Evidence

Johnson & Johnson • Raritan (NJ)

On-site
USD 137,000 - 236,000
Principal Scientist, AI-Native Discovery (Large Molecules)
Principal Scientist, AI-Native Discovery (Large Molecules)

Johnson & Johnson Co. • Spring House (PA)

On-site
USD 117,000 - 201,000
Health insurance
401(k) retirement plan
Paid time off