Associate Director, Technology & Scientific Computing at Novartis

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

25 Aug, 26

Salary

0.0

Posted On

27 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

R Programming, Shiny, Posit Platform, SQL, Git, Statistical Computing, Clinical Trial Lifecycle, Solution Design, Data Science, People Management, Pharmaceutical Domain Expertise, R Package Development, Relational Databases, API Integration, Waterfall Model, Requirement Gathering

Industry

Pharmaceutical Manufacturing

Description

Job Description Summary We are seeking a highly experienced Lead Business Analyst with strong pharmaceutical domain expertise and deep R programming capabilities to support a global pharmaceutical engagement. This role will act as the primary interface between business stakeholders, biostatisticians, statistical programmers, and technical delivery teams. The candidate will be responsible for translating clinical, statistical, and operational requirements into scalable R-based analytics platforms, automation workflows, and enterprise reporting solutions. The ideal candidate should demonstrate strong domain understanding of clinical trials, regulatory expectations, and statistical workflows, along with the ability to independently manage initiatives and coordinate cross-functional teams. Job Description Key Responsibilities Act as the primary interface between business stakeholders, biostatisticians, statistical programmers, and technical teams. Lead requirement gathering workshops and translate clinical/statistical needs into structured functional and technical specifications. Ensure alignment between Statistical Analysis Plans, reporting outputs (TLFs), and system implementation. Drive end-to-end requirement traceability across development, validation, and deployment phases. Oversee design and delivery of scalable R-based analytics applications and Shiny dashboards. Ensure regulatory compliance, audit readiness, and adherence to documentation and governance standards. Provide structured updates on progress, risks, dependencies, and mitigation plans. Minimum Requirements 14+ years of experience in analytics, statistical programming, or software development. Proven experience in pharmaceutical or clinical research domain engagements. Advanced R programming (data manipulation, statistical modelling, visualization). Strong experience with Shiny for interactive dashboards and web applications. Experience with Posit platform tools (Workbench, Connect, Package Manager) or equivalent. Expertise in statistical computing and analytics solution design. R package development and familiarity with CRAN/Bioconductor libraries. Proficiency in SQL and relational databases. Strong understanding of Git version control (branching strategy, pull requests, release coordination). Experience integrating R with enterprise systems, APIs Strong understanding of clinical trial lifecycle Skills Desired Algorithms, Computer Programming, Computer Science, Computer Vision, Data Science, People Management, R&D (Research And Development), Solution Design, Waterfall Model Improving the lives of people living with disease takes more than innovative science. It takes a focus on the needs of people and a community committed to meeting them. It takes a team of people like you. Working together. Learning together. Thriving together. Discover how you can join us in changing people’s lives. Novartis is aware of employment scams which make false use of our company name or leader’s names or recruiter’s names to defraud job seekers. Novartis does not make job offers without interview and never asks candidates for money. If you have encountered a job posting or been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond, send money or personal information. In the context of China Cross-Border Data Transfer (CBDT) policy, if you need to apply for a position in China, please go to the local Recruiting System TaleNov .

Responsibilities

Act as the primary interface between business stakeholders and technical teams to translate clinical and statistical requirements into scalable R-based analytics platforms. Oversee the design and delivery of Shiny dashboards while ensuring regulatory compliance and audit readiness.