Assistant Director-R Shiny Developer

Acuity Analytics; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Acuity Analytics in Bengaluru seeks a Senior R Shiny Developer to design and build production-grade R packages and Shiny applications for a global pharmaceutical client.

You will lead offshore teams, coordinate with stakeholders, and ensure robust code, data integrations, and documentation while working within GxP and validated environments.

Qualifications

• 8+ years of experience in R with production-grade Shiny apps and packages.
• Strong understanding of data analysis and ability to build user-friendly tools.
• Experience leading offshore/nearshore teams and collaborating with stakeholders.

Responsibilities

• Lead design, development, testing, and maintenance of enterprise R packages and Shiny apps.
• Provide technical direction and code reviews to offshore/nearshore developers.
• Ensure validated GxP solutions follow applicable frameworks and procedures.
• Deliver end-user documentation and conduct training sessions.

Skills

R programming

Shiny

Python

Git

SQL/NoSQL

Education

Bachelor’s degree in Computer Science or related field

Tools

GitHub

JIRA

Job description

Job Purpose

The Senior R Shiny Developer designs and builds R (and Python) packages and R Shiny applications that support business processes for a global pharmaceutical client. The role requires a solid understanding of data analysis in order to build user-friendly, fit-for-purpose tools, and ideally applied experience within the pharmaceutical industry. As a senior member of the team, the developer will also act as a technical lead, guiding offshore/nearshore developers and partnering closely with stakeholders. As with all Data Science roles, it is essential that the candidate is competent with source control via Git and comfortable using a web-based platform such as GitHub to track issues and manage branches in a team environment.

Job Purpose

The Senior R Shiny Developer designs and builds R (and Python) packages and R Shiny applications that support business processes for a global pharmaceutical client. The role requires a solid understanding of data analysis in order to build user-friendly, fit-for-purpose tools, and ideally applied experience within the pharmaceutical industry. As a senior member of the team, the developer will also act as a technical lead, guiding offshore/nearshore developers and partnering closely with stakeholders. As with all Data Science roles, it is essential that the candidate is competent with source control via Git and comfortable using a web-based platform such as GitHub to track issues and manage branches in a team environment.
They must also be comfortable working with various SQL/NoSQL back-ends and a range of common data science storage formats.
Desired Skills and experience - Education: Bachelor’s degree in Computer Science, Statistics, Data Science, Engineering or a related field, or equivalent experience. - 8+ years of experience in R, with extensive hands-on experience building production-grade R Shiny applications and R packages; working knowledge of Python is an advantage. - Software development: ability to build data integrations such as connecting Shiny applications to databases (e.g., SQL databases), writing reusable code managed in Git, testing, debugging, managing configurations and dependencies, deployment, scaling, and performance optimisation. - Communication and documentation: strong communication skills to understand stakeholder requirements, document application features, and effectively communicate technical concepts to non-technical stakeholders. - Technical leadership: experience in, or familiarity with, a tech lead role within offshore/nearshore teams; problem-solving skills to tackle issues that arise during product development; negotiation skills to balance the needs of customers, stakeholders, and the team; and the ability to effectively convey the vision to the team and stakeholders. - Experience implementing Agile practices on software development projects. - Desirable: prior GSK experience, familiarity with the SAGE methodology, and exposure to GxPregulated environments.

Key Responsibilities

• Work alongside statisticians, programmers, data scientists, and other software developers to turn business challenges into tangible technical solutions, in the form of packages and applications that meet business requirements, industry standards, and regulations.
• Design, develop, test, and maintain enterprise R packages, R Shiny applications, and standard tools that are scalable, secure, and usable for internal stakeholders.
• Act as technical lead for R Shiny development, providing technical direction, code reviews, and mentoring to offshore/nearshore developers.
• Follow the computer system validation framework and associated processes and procedures when delivering validated GxP solutions.
• Deliver clear system and end-user documentation, and lead training sessions and workshops for end users.
• Support and maintain tools with regular updates in line with the product development lifecycle, engaging with end users and tracking issues and enhancements via platforms such as GitHub and/or JIRA.
• Provide subject matter expertise to cross-functional teams, including participation in innovation projects, and contribute to and support business change objectives.

Behavioral Competencies

• Clear, confident communicator with both technical and non-technical audiences.
• Takes ownership and accountability for quality and delivery timelines.
• Collaborative team player in distributed, cross-cultural (offshore/nearshore) teams.
• Structured problem-solver with strong attention to detail, particularly in regulated (GxP) environments.
• Leads by example and actively mentors and develops other team members.
• Adaptable and eager to learn new tools, frameworks, and technologies.