Manager Product Engineering

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

Job Function:

Technology Product & Platform Management

Job Sub Function:

Functional Engineering

Job Category:

Scientific/Technology

All Job Posting Locations:

Bangalore, Karnataka, India, Hyderabad, Andhra Pradesh, India, Mumbai, Maharashtra, India

Job Description:

Product Engineer, Statistical Computing EnvironmentJob Description:

Johnson & Johnson Technology is currently recruiting for a Product Engineer, Statistical Computing Environment. This position will be based in Hyderabad, Bangalore, or Mumbai.

Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 130 years. We embrace research and science -- bringing innovative ideas, products and services to advance the health and well-being of people.

Johnson & Johnson, through its operating companies, is the world's most comprehensive and broadly-based manufacturer of health care products, as well as a provider of related services, for the pharmaceutical, medical devices and diagnostics markets. We strive to provide scientifically sound, high quality products and services to help heal, cure disease and improve the quality of life.

Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion, we are proud to be an equal opportunity employer.

Within J&J Innovative Medicine, the R&D Business Technology team is the strategic information technology partner providing innovative technology solutions that enable Global Development to authoritatively deliver on our portfolio and help provide transformative medicines to patients around the world while proactively improving agility, embracing innovation, and crafting the organization we need to deliver in the future.

R&D Business Technology's Clinical Data Management & Analysis is currently seeking a Product Engineer, Statistical Computing Environment with an extensive SAS GRID or SAS VIYA experience. This role will combine a leadership aspects such as defining user-centric product visions, roadmaps, and prioritization with collaboration with business partners, including the assessment and prioritization of new features and improvements. It will also include hands-on aspects: designing, developing, optimizing and platform operations, ensuring that our data architecture meets business needs and adheres to our engineering standards.

Key Responsibilities:Technical Leadership & Expertise:

• Define and lead all aspects of the overall data engineering architecture and roadmap using modern data engineering practices.
• Take accountability for the overall quality of engineering team work within the product, and ensure the team continually improves performance.
• Mentor team members in solving technical challenges related to data pipelines and analytics through hands-on mentorship and support.
• Along with the Technical Product Owner, define and communicate to key partners the product vision and strategy including new features and improvements within Statistical Computing product

Performance Optimization:

• Drive monitoring and optimization of the performance of Posit Workbench and SAS GRID jobs, ensuring efficient execution of data pipelines.
• Analyze and fine-tune data processing workflows to reduce runtime and enhance performance.
• Develop strategies for optimizing system configurations and cluster resources for cost-effective and high-performance data processing.

Platform Operations:

• Ensure the stability and reliability of the Statistical Computing platform, managing cluster configuration, scaling, and resource allocation to meet workload demands.
• Fix and resolve operational issues within the statistical computing environment, collaborating with DevOps teams for seamless integration and deployment.
• Supervise monitoring system to ensure stability, performance, and availability of data solutions, proactively addressing system issues and bottlenecks.
• Handle technical debt and continuously seek opportunities for improvement in clinical data processes and architecture.
• Assist in data migration strategies from legacy clinical systems, ensuring compliance with business rules and data governance standards.

Collaboration & Communication:

• Work closely with clinical programmers, statistical programmers, statisticians and business customers to understand clinical their needs and collaborate on analytics projects.
• Facilitate communication between technical and non-technical teams to ensure alignment on data solutions and project goals.

Development & Problem-Solving:

• Effectively engage in the development of enhancements and workflows' improvements within statistical computing environment, supporting code reviews and technical discussions.
• Drive testing and deployment of data solutions, ensuring automated testing measures are in place for quality assurance.
• Scale proof-of-concept projects into production environments, ensuring performance, reliability, and maintainability.

Qualifications:Required:

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field is required.
• At least 10 years of relevant IT experience, with a strong focus on data engineering and clinical technology.
• Expert in deployment and administration of SAS GRID and/or SAS Viya
• Expert in deployment and administration of Posit Workbench and Connect
• High proficiency and knowledge of SAS language.
• High proficiency in Python or R (including R-Shiny).
• Extensive hands-on experience with cloud services such as AWS or Azure in relation to data solutions or statistical computing environments.
• Strong SDLC foundations in Agile methodologies and experience in collaborative development environments.
• Excellent analytical and problem-solving skills, with a history of delivering data solutions in enterprise settings.
• Effective communication and critical thinking skills, creative and flexible problem solving, and process focus.
• Good interpersonal skills; ability to convey technical information clearly to team members.
• Proven written and verbal communication skills with the ability to present a strong rationale for key decisions to partners, including senior leaders.

Preferred:

• Knowledge of CDISC standards (SDTM, ADaM) is strongly preferred
• In-depth knowledge of statistical computing environments, including familiarity with clinical data regulations and systems.
• Experience with LLM and implementing AI/ML solutions is advantageous.
• Must have a Global Business demeanor, be solutions oriented, and provide system and process improvements with operational excellence.
• Must possess ability to think analytically, be quality results oriented and customer focused.
• Technical expertise, preferably in pharmaceutical or a regulated industry, with extensive experience gained through working with diverse and complex data integration, warehousing and ingestion.
   

Other:

Up to 10% of the domestic travel may be required

---