Senior Scientist, Scientific Computing

Johnson Johnson; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Johnson & Johnson is seeking a Senior Scientist, Scientific Computing in Hyderabad to advance statistical and computational methods within the SDS. You will contribute to automated and reproducible data science workflows, ensuring robust data practices and compliant solutions across diverse therapeutic areas.

The role emphasizes AI/ML implementation, collaboration with statisticians, and scalable scientific computing platforms to support drug development and clinical research programs.

Responsibilities

• Apply software and data analysis tools to support studies and trials.
• Own the AI/ML layer end-to-end, from architecture to cloud deployment.
• Collaborate with statisticians and programmers to enable scalable solutions.

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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:

Biostatistics

Job Category:

Scientific/Technology

All Job Posting Locations:

Hyderabad, Andhra Pradesh, India

Job Description:

Senior Scientist, Scientific Computing

Statistics & Decision Sciences (SDS) is a function of Quantitative Sciences & Clinical Pharmacology. SDS comprises of Cardiopulmonary, Oncology, Immunology, Neuroscience, Medical Affairs, Post Approval Lifecycle Management, Discovery & Manufacturing Statistics, Statistical Modeling & Methodology & Consulting and Strategic Business & Computing Operations.

The SBCO organization applies deep understanding of drug development, statistics, scientific computing, business operations, and enabling technologies to deliver scalable, compliant, and high‑value solutions for SDS. SBCO comprises three integrated units: Strategy & Business Operations (SBO), Scientific Computing Operations (SCO), and the SDS Centralized Administrative Network (SCAN).

Position Summary

The Senior Scientist, Scientific Computing provides technical and scientific computing support to advance statistical and strategic innovation, automation, and reproducibility across Statistics & Decision Sciences (SDS). The role helps ensure that platforms, tools, and data practices are robust, compliant, and aligned to business and regulatory needs.

The Senior Scientist, Scientific Computing, provides technical support and delivery for scientific computing and business capabilities within Statistics & Decision Sciences (SDS). The role collaborates with key stakeholders to drive and develop fit-for-purpose, compliant, and scalable solutions. Responsibilities include support for evaluation, integration, and lifecycle management of statistical and business analytical tools; establishing and maintaining validated data storage, archival, and data-flow strategies and effective training, adoption, and collaboration practices across SDS.

Principal Responsibilities

• Exhibits effective software expertise through applied experience, grounded in scientific and business principles with a proven record of effectively supporting strategic efforts. Demonstrates competence in utilizing computational tools to analyze and visualize data for research and business objectives related to studies, experiments, trials, and processes. This includes full proficiency in relevant computational and scripting tools, including artificial intelligence (AI).
• This role goes beyond model prototyping. You will own the AI/ML layer end to end, from architecture and evaluation to the cloud infrastructure it runs on. You’ll work closely with statisticians and programmers, so comfort with R/Python for statistical work and data visualization is important, not optional.
• Design