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Director, Data Science - GenAI - Neuroscience

Raritan, New Jersey, United States of America

Live, first seen by us 24 days ago
Pay
$164,000–282,900/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 $164,000 to $282,900. 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)).
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Employer’s visa record
1 H-1B petition approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting

The Director will lead the design, development, and deployment of AI, generative AI, and agentic AI workflow solutions for Neuroscience R&D, working across datatypes, including clinical, omics and other molecular data, and medical imaging data.

This hands-on leader will set technical direction, guide multidisciplinary delivery, establish evaluation and responsible AI practices, and build the reusable solutions within the enterprise platforms, in partnership with cross-functional teams in DDSAI and the Neuroscience TA (therapeutic area).

  • Set Neuroscience AI strategy, roadmap, and measures of value

  • Build and deploy agentic AI and generative AI solutions for scientific needs

  • Establish evaluation standards and responsible AI practices

  • Guide multidisciplinary teams and engineering lifecycle practices

  • Partner with scientists to prioritize needs and drive tool adoption

From the employer’s posting
The Director will lead the design, development, and deployment of AI, generative AI, and agentic AI workflow solutions for Neuroscience R&D, working across datatypes, including clinical, omics and other molecular data, and medical imaging data. Working closely with scientists and data teams, the candidate will translate priority research needs into scalable tools and capabilities (e.g., AI co-scientists) that improve how scientific information is discovered, integrated, and used by scientists, in a way that stays current with evolving scientific advances.
This hands-on leader will set technical direction, guide multidisciplinary delivery, establish evaluation and responsible AI practices, and build the reusable solutions within the enterprise platforms, in partnership with cross-functional teams in DDSAI and the Neuroscience TA (therapeutic area). The role is accountable for the platform build and evolution, scientific rigor and evaluation, user adoption, and measurable value from the Neuroscience AI portfolio.
Set the Neuroscience AI strategy, portfolio, roadmap, and measures of value.
Build and deploy scalable agentic AI and generative AI solutions for priority scientific needs.
Establish evaluation standards, expert validation, and responsible AI practices.
Guide multidisciplinary teams and maintain strong engineering and lifecycle practices.
Partner with scientists and leaders to prioritize needs, validate solutions, and drive adoption.

What you’ll bring

All qualifications

Core experience

  • 8+ years of experience in pharmaceutical, biotech, or healthcare analytics, with experience setting technical direction.
  • Strong ability to critically assess scientific evidence, with optional expertise in neuroscience.
  • Strong Python skills and sound software engineering practices.
  • Experience leading multidisciplinary technical delivery and influencing across organizational boundaries.
  • Demonstrated ability to define priorities, make evidence-based tradeoffs, and deliver measurable value.
  • Strong communication skills with technical, scientific, and senior non-technical stakeholders.

Preferred experience

  • Experience with genetics, multi-omics, imaging, ontologies, or scientific knowledge systems preferred.
Qualification wording
8+ years of experience in pharmaceutical, biotech, or healthcare analytics, with experience setting technical direction.
Strong ability to critically assess scientific evidence, with optional expertise in neuroscience.
Strong Python skills and sound software engineering practices.
Experience leading multidisciplinary technical delivery and influencing across organizational boundaries.
Demonstrated ability to define priorities, make evidence-based tradeoffs, and deliver measurable value.
Strong communication skills with technical, scientific, and senior non-technical stakeholders.
Experience with genetics, multi-omics, imaging, ontologies, or scientific knowledge systems preferred.
Education & alternatives
QUALIFICATIONS - PhD in computer science, computational biology, genetics, genomics, medical informatics, or a related quantitative field; or MS with additional relevant experience. - 8+ years of experience in pharmaceutical, biotech, or healthcare analytics, with experience setting technical direction.
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Posting record

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Status in our records
Live
First seen by us
Oct 21, 202624 days ago
Recorded sightings
44
Last seen by us
Nov 13, 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

$164K–$283K against $154K–$226K, the middle half of what similar US postings state.

From 3,103 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 24

Similar jobs usually come down between day 8 and day 57.

Well past Johnson & Johnson’s usual: its jobs come down by about day 12.

From 9,507 similar postings that came down, and 458 of Johnson & Johnson’s. Coming down is not always a hire.

Johnson & Johnson is hiring

47 open jobs

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

  • Data Leadership hiring is steady
  • Takes jobs down quickly
  • 4% of open jobs were reposted
Hiring record

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Where the posting names them
- Strong ability to critically assess scientific evidence, with optional expertise in neuroscience. - Strong Python skills and sound software engineering practices. - Experience leading multidisciplinary technical delivery and influencing across organizational boundaries.

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About Johnson & Johnson

People
About 138,200 in 2025, about the same as the year before.Annual report (SEC Form 10-K)
Company
Listed as JNJ.

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 754, the most 1,166, and the latest week had 892.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

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

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

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:

People Leader

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 is recruiting for Director, Data Science – GenAI – Neuroscience to join our J&J Research and Development Data, Data Science, and AI (DDSAI) team. This position will be located at one of our US sites (Raritan, NJ; Titusville, NJ; Cambridge, MA; Spring House, PA; San Diego, CA). 

 

POSITION SUMMARY 

The Director will lead the design, development, and deployment of AI, generative AI, and agentic AI workflow solutions for Neuroscience R&D, working across datatypes, including clinical, omics and other molecular data, and medical imaging data. Working closely with scientists and data teams, the candidate will translate priority research needs into scalable tools and capabilities (e.g., AI co-scientists) that improve how scientific information is discovered, integrated, and used by scientists, in a way that stays current with evolving scientific advances. 

This hands-on leader will set technical direction, guide multidisciplinary delivery, establish evaluation and responsible AI practices, and build the reusable solutions within the enterprise platforms, in partnership with cross-functional teams in DDSAI and the Neuroscience TA (therapeutic area). The role is accountable for the platform build and evolution, scientific rigor and evaluation, user adoption, and measurable value from the Neuroscience AI portfolio. 

 

Why This Role Is Unique 

This is a senior AI seat for Neuroscience R&D, with genuine latitude over what gets built and why. You inherit a production agentic platform (runtime, orchestration, registered corpus, permission model, evaluation registry) and a voice in where it goes next, so your time goes to the part that cannot be outsourced to a model: strategic and hands-on investment in the platform to get the science right. The measure of success at twelve months is platform usage by the neuroscientists who move faster with high scientific accuracy, and a strategic Neuroscience AI plan that leadership funds because you argued for it with evidence. Your work will directly accelerate Johnson & Johnson's scientific discovery, fuel AI innovation, and impact patients globally. 

 

 

KEY RESPONSIBILITIES 

  • Set the Neuroscience AI strategy, portfolio, roadmap, and measures of value. 
  • Build and deploy scalable agentic AI and generative AI solutions for priority scientific needs. 
  • Own delivery, investment decisions, and outcomes for the Neuroscience AI portfolio. 
  • Ensure scientific rigor, appropriate evidence use, and reliable domain representation. 
  • Establish evaluation standards, expert validation, and responsible AI practices. 
  • Shape shared platform capabilities and develop reusable solutions aligned with enterprise architecture. 
  • Guide multidisciplinary teams and maintain strong engineering and lifecycle practices. 
  • Partner with scientists and leaders to prioritize needs, validate solutions, and drive adoption. 
  • Communicate technical choices, risks, progress, and impact to senior stakeholders. 

 

QUALIFICATIONS 

  • PhD in computer science, computational biology, genetics, genomics, medical informatics, or a related quantitative field; or MS with additional relevant experience. 
  • 8+ years of experience in pharmaceutical, biotech, or healthcare analytics, with experience setting technical direction. 
  • Within the last 18 months, you should have hands-on experience building agentic systems and deploying AI, NLP, or generative AI solutions, leveraging LLMs, retrieval, grounding, and evaluation. 
  • Strong ability to critically assess scientific evidence, with optional expertise in neuroscience. 
  • Strong Python skills and sound software engineering practices. 
  • Experience leading multidisciplinary technical delivery and influencing across organizational boundaries. 
  • Demonstrated ability to define priorities, make evidence-based tradeoffs, and deliver measurable value. 
  • Strong communication skills with technical, scientific, and senior non-technical stakeholders. 
  • Experience developing within shared platforms, architecture standards, and governance frameworks. 
  • Experience with genetics, multi-omics, imaging, ontologies, or scientific knowledge systems preferred. 
  • Exposure to regulated environments, AI governance, and human-in-the-loop systems is preferred. 
  • Optional: industry experience in drug discovery, clinical development, neuroscience. 


This position will be located at one of our US sites (Raritan, NJ; Titusville, NJ; Cambridge, MA; Spring House, PA; San Diego, CA).  Travel may be required as needed.

 

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 $164,000 to $282,900. 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.

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Required Skills:

 

 

Preferred Skills:

Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning
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