Senior Engineer, Machine Learning Research and Development
About this opportunity
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:
R&D Product Development
Job Sub Function:
R&D Machine Learning
Job Category:
Scientific/Technology
All Job Posting Locations:
Spring House, Pennsylvania, United States of America
Job Description:
Employer: Janssen Research & Development LLC
Job Title: Senior Engineer, Machine Learning Research and Development
Job Code: A011.9806
Job Location: Spring House, PA
Job Type: Full-Time
Job Duties: Develop strategic roadmap and capabilities for applied AI/ML in Biopharmaceutical development. Build novel machine learning models focused on helping development project teams make best decisions from data. Deliver solutions with user functionality to enable project teams to use models and consult with model builders. Work with business functions and IT to develop data flow enabling data block generation supporting modeling. Advise project teams on data driven decision making including design of experiments, investigations, transforming historical data to knowledge. Collaborate with scientists and build roadmap and capabilities where modeling can be applied to enable faster, more robust biologics process development in the CMC space. Leverage experience in applied machine learning and artificial-intelligence applications to define opportunities for changing the way we work. Ensure output of models meet project teams needs and invigorates generation of intellectual property that solidifies and improves the company's ability to deliver and accelerates development to meet patient needs.
May telecommute per company's policy (hybrid).
Requirements: Employer will accept a Ph.D. degree in Science, Industrial Engineering and Operations Research, Data Science, (AI/ML) or related field and 2 years of experience in the job offered or in a Senior Engineer, Machine Learning Research and Development-related occupation.
Position requires experience in:
1. Advanced therapies in science, development and production processes.
2. Leading strategic modeling programs and delivering solutions.
3. Utilizing strategic approaches to apply the best modeling techniques and leverage recent literature.
4. Applying machine learning modeling to support biopharmaceutical industry.
5. Programming languages including .net, Java, Perl, C++, Matlab, R, Julia or Python.
6. Wrangling and transforming high dimensional big data from established data warehouses.
7. Statistics, algorithm design, and module verification and validation.
8. Applying agile and waterfall approach SDLC.
9. JIRA, git, scrum, or confluence.
10. Principle and application of LLM (Large Language Models).
11. Cloud platforms including Azure or Amazon Web Services (AWS), or full-stack development.
This job posting is anticipated to close on 11/3/2026.
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, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.
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
This position is eligible for benefits to include medical, dental, vision and time off, as well as any others as provided for in the applicable Collective Bargaining Agreement.
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits
Required Skills:
Preferred Skills:
Job details
How this role compares
Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.
We currently track 172 comparable Senior Biostatistics & Data Science roles across 30 biopharma companies.
Salary context
74 of 172 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 172 comparable roles
+ 13 more countries
Seniority mix
172 of 172 peers have a known seniority level
Therapeutic area mix
16 of 172 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.