Principal Data Scientist – DDSAI GD at Johnson & Johnson Innovative Medicine
Johnson & Johnson Innovative Medicine is hiring a Principal Data Scientist – DDSAI GD in Hyderabad, Andhra Pradesh, India. The role details below come from the employer’s posting. You apply on the employer’s own site, and TechJobs360 never charges candidates.
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1. Job details
Johnson & Johnson Innovative Medicine
Principal Data Scientist – DDSAI GD
Hyderabad, Andhra Pradesh, India
Not disclosed by employer
See the job description
On the employer’s site
2. Job description from Johnson & Johnson Innovative Medicine
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:
Hyderabad, Andhra Pradesh, India
Job 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
Own the end-to-end definition, development, validation, deployment, and adoption of integrated data-science solutions for defined business problems.
Lead predictive modeling, simulations, optimization, and GenAI applications for study feasibility, enrollment forecasting, country and site selection, protocol design, and operational planning.
Apply clinical, operational, cost, and RWD—including EHR, claims, registries, and clinical-trial data—to generate evidence on patient populations, treatment pathways, feasibility, and operational risks.
Lead RWD analytics that inform protocol feasibility, eligibility criteria, recruitment and retention, study design, comparative evidence, and external-control use cases.
Develop LLM-enabled workflows for information extraction, protocol comparison, data harmonization, clinical-concept interpretation, and targeted workflow automation.
Partner with clinical, operational, technology, and data stakeholders to frame questions, manage trade-offs, and translate outputs into adopted recommendations and measurable use-case outcomes.
Apply model-validation, MLOps, documentation, privacy, data-quality, and responsible-AI standards; contribute reusable code, data assets, and technical patterns.
Communicate methods, model outputs, assumptions, limitations, and decisions clearly to technical and nontechnical audiences.
Mentor junior colleagues and strengthen delivery practices across project 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.
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.
Preferred Qualifications
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 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 Analysis
3. Skills that usually matter in data and AI roles
General guidance from TechJobs360, not part of Johnson & Johnson Innovative Medicine’s posting. The job description above is what counts for this role.
| Area | What to be comfortable with |
|---|---|
| Languages | Python, SQL, Scala |
| Frameworks & tools | Spark, pandas, PyTorch / TensorFlow, Airflow, a cloud data warehouse |
| Computer science basics | Data structures, algorithms, complexity |
| Ways of working | Version control, code review, testing, reading other people's code |
4. How to prepare for a Principal Data Scientist – DDSAI GD interview
Interview formats differ by company and team, so confirm the rounds with the recruiter. Most hiring loops for roles like this cover:
A recruiter call or an online test. Read the job description twice and be ready to explain how your experience matches it.
Often coding problems on arrays, strings, trees, graphs or dynamic programming, solved while you explain your thinking.
Often design and trade-off questions sized to the role: an API, a component, or a small system.
Answer with the STAR method (Situation, Task, Action, Result). Prepare two or three real stories: a hard problem you solved, a disagreement you handled, and something you learned quickly.
5. Take-home pay example (FY 2026–27, new tax regime)
An example for two common package sizes, not this job’s salary. Under the new tax regime (Section 115BAC) salaried employees get a standard deduction of ₹75,000.
| Component | Example: ₹12 LPA | Example: ₹24 LPA |
|---|---|---|
| Basic salary (40% of CTC) | ₹40,000 / mo | ₹80,000 / mo |
| Employee EPF (12% of basic) | -₹4,800 / mo | -₹9,600 / mo |
| Income tax (TDS) | -₹6,933 / mo | -₹32,450 / mo |
| Professional tax | -₹200 / mo | -₹200 / mo |
| Approx. in-hand | ₹81,344 / mo | ₹1,44,304 / mo |
Work out the take-home pay for your own offer, in either tax regime.
Open the salary calculator →6. Questions and how to apply
How do I apply?
Use the apply button below. It opens Johnson & Johnson Innovative Medicine’s own application page.
Does TechJobs360 recruit for this job or charge a fee?
No. We list openings from employers’ career sites. Johnson & Johnson Innovative Medicine runs the hiring, and nobody should ask you to pay to apply.
Is this job still open?
We check listings against the employer’s page every day and take down jobs that have closed.
Should I apply if I don’t match every requirement?
Usually yes, if you meet most of the core requirements and can show you learn quickly. A referral from someone on the team can help your resume get read.
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