Senior/Principal Statistical Programmer with R experience

Veramed; India; Presencial; INR 1.200.000 - 1.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Descripción de la vacante

Veramed is seeking a Senior Programmer I/II to provide programming support across projects and therapeutic areas. The role includes leading programming tasks, maintaining study master files and contributing to process improvements.

You will perform data checks, develop TFL shells, CDISC validation reports, and work with SAS and R, including Shiny dashboards. Collaboration with trial teams and project management experience are valued.

Formación

• Bachelor's/Master's/PhD in a numerical discipline or equivalent industry experience.
• Minimum 4 years of relevant industry experience.
• Strong proficiency in SAS and R for programming in clinical trials.
• Experience with CDISC standards is a plus.

Responsabilidades

• Provide programming support across projects, clients and therapeutic areas.
• Lead programming tasks and maintain study master files; mentor junior staff.
• Perform data checks, data exploration and QC datasets and TFLs in SAS & R.
• Familiar with CDISC validation reports and study documents; ensure audit readiness.

Conocimientos

SAS

R

Data exploration

T-tests

ANOVA

Regression

Educación

BSc/MSc/PhD in numerical discipline

Herramientas

R Shiny

CDISC Validation Tool

Descripción del empleo

The role of the Senior Programmer I/II is to provide programming support to the statistics and programming department across a range of projects, clients and therapeutic areas.

Key Responsibilities

The job tasks listed below outline the scope of the position. The application of these tasks may vary, based on current business needs.

Technical:

• Perform consistency review of clinical trial documents including protocols, SAPs, CRFs, CSRS
• Author and review simple and complex study TFL shells
• Author and review simple and complex dataset standards
• Perform data checks and data exploration (e.g. using frequencies, histograms)
• Program and QC routine and ad hoc datasets and TFLs (in SAS & R) following specifications, applying good programming practice
• Complete and review CDISC Validation tool reports
• Ensure the appropriate standards are being applied and adhered to
• Familiarisation with simple statistical techniques (e.g. t-test, ANOVA, regression, standard survival)
• Review of project management related documents
• Maintain study master file documents and any other documents that are required to be audit ready
• Has worked on R and R shiny dashboards.

Project Management:

• Act as Lead Programmer and/or Veramed Project Manager for client projects and studies
• Maintain the project plan
• Proactive management of resource, scope change and risks
• Manage the delivery of projects to budget
• Manage client expectations and issue resolution

General:

• Lead internal and client study team meetings effectively
• Present study updates internally and at client meetings
• Share scientific, technical and practical knowledge within the team and with colleagues
• Perform work in full compliance with applicable legislation, regulations, company policies, procedures, and training
• Build effective collaborative working relationships with internal and client team members
• Seek opportunities to develop innovative ideas, sharing when appropriate
• Line management or mentorship of more junior team members
• Contribution to development of internal training materials
• Contribution to internal process improvement initiatives
• BSc, MSc or PhD in numerical discipline (or relevant equivalent industry experience)
• At least 4 years of relevant industry experience

Other Information/Additional Requirements

• Understanding of clinical drug development process, relevant disease areas, endpoints and study designs
• Awareness of industry and project standards & ICH guidelines
• Excellent verbal and written communication skills
• Interpersonal/teamwork skills for effective interactions
• Proficiency in data handling using SAS & R
• Self-management skills with a focus on results for timely and accurate completion of competing deliverables
• Demonstrated problem solving ability and attention to detail
• Ability to work independently and as part of a team