R Programming and Statistical Reporting Manager

Qualification Post-graduate degree in statistics, computing, life sciences or related field B.E / B tech

Experience Range 10 – 15 years

Technical Roles and Responsibilities

1) Lead end-to-end clinical reporting projects using R, ensuring timely and quality delivery.

2) Guide in Package development, Shiny app development at enterprise grade

3) Design and manage Shiny dashboards, internal tools, and reusable functions / packages.

4) Oversee SAS-to-R migration, translating legacy code with accurate validation.

5) Define and maintain standardized R programming frameworks.

6) Automate and optimize the existing process and applications

7) Ensure quality control, test coverage, and adherence to project specifications.

8) Guide Agile execution, client communications, and technical direction.

9) Support model lifecycle activities including deployment, version control, and monitoring.

10) Ensure regulatory compliance and proper documentation across deliverables.

11) Mentor, guide and drive team members for growth and development

Customer & Delivery Management

12) Support & Supervise Programming team towards resolving study / program related issues

13) Communicate with project team / stakeholders / other departments and / or groups effectively

14) Act as the customer key contact and responsible for project deliverables

15) Mentor and evaluate team members to establish training and coaching needs

16) Produce accurate project status and progress reports as necessary

17) Publish metrics as agreed with the client

18) Ensure 100 % compliance on customer trainings for all team members

19) Support and lead efforts to implement new concepts, process improvement, and technological advances for delivering outputs

Skills Set :

1) Strong leadership, mentorship, and client communication abilities.

2) Effective in project management, task prioritization, and leading Agile teams (e.G., Jira, sprints, retrospectives).

3) Works collaboratively across functions including statisticians, data managers, and developers.

4) Ability to work independently and as part of a team

5) Being open to new learnings and sharing with team members

6) Excellent communication skills [Written, Verbal, Interpersonal and organizational skills]

7) Proficient in using SAS EG / Studio for programming

8) Familiar with Unix environment and programming

9) Familiarity with multiple statistical procedures and functions to create TFLs

10) Ability to Lead and Mentor a team of junior programmers.