Senior Scientist, Scientific Computing

Johnson & Johnson Innovative Medicine

Mumbai

On-site

INR 2,500,000 - 3,500,000

Full time

12 days ago

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Job summary

Johnson & Johnson Innovative Medicine seeks a Senior Scientist, Scientific Computing to advance statistical computing and AI-enabled analytics within Statistics & Decision Sciences. You will own AI/ML components, develop scalable tools, and work with statisticians and researchers to drive reproducible, compliant scientific computing solutions.

You will lead cross-functional teams, implement data storage and workflow strategies, and contribute to the design of robust computational platforms used

Qualifications

PhD or Master’s with quantitative background and software/ML experience.
Hands-on experience with LLMs in production.
Proficient in Python and R for statistical work; strong AI/ML foundations.

Responsibilities

Own the AI/ML layer end to end from architecture to cloud infrastructure.
Design and build AI pipelines, including RAG pipelines and agent workflows.
Set up and maintain repositories, CI/CD pipelines, and development environments for SDS team.
Collaborate with SDS colleagues and external partners to meet program needs.
Ensure quality and timeliness of deliverables; adhere to SOPs and compliance.
Stand up and manage MCP servers connecting AI tools to internal data sources.
Communicate findings to program stakeholders with visuals and storytelling.

Skills

Python production services

R programming

LLM APIs

Agent frameworks

AWS / Azure

Docker

Git CI/CD

MCP servers

Data storage & databases

Prompt engineering

Education

PhD or Master’s with relevant experience

Tools

LangGraph

LlamaIndex

SAS

AWS

Docker

Job description

Job Sub Function

Biostatistics

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, 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

Beerse, Antwerp, Belgium, High Wycombe, Buckinghamshire, United Kingdom, Hyderabad, Andhra Pradesh, India, Leiden, South Holland, Netherlands, Mumbai, 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 and build RAG pipelines, agent workflows, and prompt/context strategies across our AI initiatives.
Set up and maintain repositories, CI/CD pipelines, and development environments for the wider SDS team.
Supports Scientific Software Packages, High Performance Computing (HPC) Hardware and platforms, communication tools, and standards and good practices documentation. Also supports business system and process improvement areas.
Identifies and implements innovative tools and solutions in process automation and scientific computing domains. Identifies and implements advanced techniques to address complex project or program features. Proven ability in problem-solving and troubleshooting, including supporting strategic scenario planning, quantitative decision-making, and business support.
Collaborates cross-functionally to identify and resolve issues. Successfully addresses business needs through enhanced insights, productivity, and efficiency. Advises management of opportunities to increase compatibility, interoperability, stability and usability of solution architecture.
Demonstrates strong skills in building relationships across functions. Is accountable as a point of contact for a specific project or effort.
Collaborates effectively with SDS colleagues and external partners to meet program needs. Works cross-functionally to identify and resolve issues.
Shares knowledge within and across functions. Represents Statistics & Decision Sciences in cross-functional and intra-departmental teams or working groups pertaining to scientific or process initiatives. Builds cross-functional partnerships with internal colleagues and external partners (e.g., contractors, consultants) to achieve results for project-specific needs, focusing one enhancing communication, efficiency, and productivity.
Supervise contractors/special assignment personnel/interns/co-ops as required.
Exhibits strong written, oral, and interpersonal communication skills, and demonstrates proficiency in collaborating with by translating intricate technical concepts for drug research and development partners. Effectively communicates findings to program stakeholders and broader non-technical audiences with visuals and storytelling.
Takes responsibility and accountability for the quality and timeliness of project deliverables as assessed by stakeholders from respective projects or programs. Follows best practices for Software Engineering, Project Management, and Data Integrity. Aligns with partners following best practices for Good Clinical, Manufacturing, Laboratory, or other pertinent GxP activities and requirements. Complies with organization and company standard operating procedures in a timely fashion, such as required training and project time reporting. Ensures that documents, programs, and all other deliverables are consistent and adhere to project and company standards.
Stand up and manage MCP servers connecting AI tools to internal data sources and applications.

Qualifications

PhD in in Computer Science, Data Science, Statistics, Computational Biology, Engineering or a related quantitative field or Master’s with 3 to 5 years of software/ML engineering experience, including 1 to 2+ years working hands‑on with LLMs in production.

Technical Skills

Strong Python; experience building production services, not just notebooks
Working proficiency in R programming(or strong willingness/ability to read and work with R)
Hands-on experience with LLM APIs (Anthropic, OpenAI, or similar) and at least one agent framework (e.g. LangGraph, LlamaIndex, or a custom framework)
Databases
Understanding of LLM failure modes (hallucination, context drift, prompt injection) and mitigation strategies.
Hands-on AWS (S3, EC2, GPU instances) or Azure equivalent, including basic IAM/security and cost management
Git-based workflows, CI/CD, containerization (Docker)
Experience setting up MCP servers or comparable integration/orchestration tooling.

Required Skills

Preferred Skills