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

Cambridge, Massachusetts, United States of America

Pay: $117,000–201,250/year · BaseAnnual period assumed — pay source
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. 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)).
Read the full posting
Work setting: Working pattern needs review — work setting source
Familiarity with data platforms, process improvement, workflow design, capability development, or technology enablement initiatives. This position will be located at one of our campuses in either Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or La Jolla/San Diego, CA (no fully remote option available). Travel for cross‑functional workshops, design sessions, and team meetings, etc., may be required. 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.
Read the full posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

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.

Define and run data science, digital health and AI initiatives aligned with Immunology R&D goals
Build roadmaps from pilot to scale for data science use cases
Map scientific and operational workflows to find automation and process improvements
Evaluate and pilot generative AI, agentic workflows and advanced analytics
Align imaging, digital health, clinical and real-world datasets with scientific use cases

From the employer’s posting

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.

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.

develop roadmaps from pilot to scale

Map and analyze scientific and operational workflows to identify process improvements, automation opportunities, and future-state solutions

Evaluate and pilot emerging technologies, including generative AI, agentic workflows, workflow automation, and advanced analytics

align scientific use cases with appropriate datasets, technologies, and partners.

What you’ll bring

All qualifications

Core experience

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.
Familiarity with healthcare, clinical, imaging, digital health, biomarker, or real-world data.

Preferred experience

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.

Qualification wording

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.

Familiarity with healthcare, clinical, imaging, digital health, biomarker, or real-world data.

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.

Education & alternatives

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.

Apply at Johnson & Johnson

Posting record

Report an error

Status in our records: Live
First seen by us: Aug 31, 202664 days ago
Recorded sightings: 72
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$117K–$201K against $118K–$193K, the middle half of what similar US postings state.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 64

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 10,000 similar postings that came down. Coming down is not always a hire.

Johnson & Johnson is hiring

65 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down quickly
5% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
R
SQL

Where the posting names them

- 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.

Upload resume Add LinkedIn

Your next step

Complete your application on jj.wd5.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
“Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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, 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.

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.

This position will be located at one of our campuses in either Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or La Jolla/San Diego, CA (no fully remote option available). Travel for cross‑functional workshops, design sessions, and team meetings, etc., may be required.

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.

If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent’s consent for the background check.

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.

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.

#LI-SL
#JNJDataScience
#JNJIMRND-DS
#JRDDS
#LI-Hyrbid

Required Skills:

Preferred Skills:

Source details