Hyderabad, Andhra Pradesh, India
Actively hiring, first seen by us 10 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Lead predictive modeling and optimization for study feasibility, enrollment and site selection
Analyze RWD such as EHR, claims and registries to inform protocol and study design
Build LLM-enabled workflows for information extraction and protocol comparison
Partner with clinical and operational teams to turn outputs into adopted recommendations
Mentor junior colleagues and strengthen delivery practices across project teams
Lead predictive modeling, simulations, optimization, and GenAI applications for study feasibility, enrollment forecasting, country and site selection
Lead RWD analytics that inform protocol feasibility, eligibility criteria, recruitment and retention, study design
Develop LLM-enabled workflows for information extraction, protocol comparison, data harmonization
Partner with clinical, operational, technology, and data stakeholders to frame questions, manage trade-offs, and translate outputs into adopted recommendations
Mentor junior colleagues and strengthen delivery practices across project teams.
Demonstrated experience defining, validating, deploying, and driving adoption of analytical solutions that inform clinical-development, clinical-operations, or real-world evidence decisions.
Hands-on experience with structured and unstructured clinical, operational, or RWD data, including multimodal modeling and time-series or simulation methods.
Proficiency in Python and SQL, modern ML, optimization, and LLM-development libraries, and reproducible MLOps practices.
Strong communication, stakeholder-management, and technical-leadership skills.
Master’s degree in computer science, engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or another quantitative discipline; PhD preferred.
Experience in healthcare, pharmaceutical development, MedTech, clinical development, or clinical operations.
Experience applying RWD methods to clinical-trial design, including target-trial emulation, propensity methods, survival analysis, or time-to-event analysis.
Experience delivering analytical products or applications used by clinical or business teams.
Required Qualifications - Master’s degree in computer science, engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or another quantitative discipline; PhD preferred. - At least 5 years of industry experience leading end-to-end delivery of data-science solutions using ML, predictive modeling, optimization, NLP, GenAI, or RWD analytics.
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements.
In the employer’s words · Read in context
Actively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 10
Similar jobs usually come down between day 7 and day 57.
At Johnson & Johnson, jobs usually come down by about day 12.
From 10,789 similar postings that came down, and 398 of Johnson & Johnson’s. Coming down is not always a hire.
59 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- Hands-on experience with structured and unstructured clinical, operational, or RWD data, including multimodal modeling and time-series or simulation methods. - Proficiency in Python and SQL, modern ML, optimization, and LLM-development libraries, and reproducible MLOps practices. - Strong communication, stakeholder-management, and technical-leadership skills.
Complete your application on jj.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 2 other Principal Data Scientist – DDSAI GD jobs there since October 2026. All 2 are still up.
New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
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.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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 SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll Job Posting Locations:
Hyderabad, Andhra Pradesh, IndiaJob Description:
About Innovative Medicine
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
Job Summary
J&J Innovative Medicine – Data, Data Science, and AI - Global Development (DDSAI GD) is seeking a Principal Data Scientist to lead end-to-end delivery of integrated analytical solutions for defined clinical-development and trial-operations business problems. This role owns solution definition, delivery, adoption, and use-case outcomes across connected stakeholder groups using ML, GenAI, optimization, and RWD.
Key Responsibilities
Required Qualifications
Preferred Qualifications
Required Skills:
Preferred Skills:
Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow AnalysisSelected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Hyderabad, Andhra Pradesh, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.