Associate statistical programmer

We are actively hiring for Freshers with educational background in M. Sc Statistics with R proficiency.

This opportunity is open exclusively to fresh graduates with no prior full-time work experience.

About the Role

Associate Programmer

Purpose

The role of the Associate Programmer is to learn the skills and knowledge required in the role of a clinical study statistical programmer and to progress towards providing programming support to the statistics and programming department across a range of projects, clients and therapeutic areas.

Responsibilities

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:

Understanding of clinical drug development process, relevant disease areas, endpoints and basic study designs Awareness of industry and project standards & ICH guidelines Awareness of importance of standards (including CDISC, TFLs, ICH, SOPs) and what standards are being applied to specified client accounts Awareness and understanding of clinical trial documents including protocols, SAPs, CRFs, CSRs Familiarisation with dataset standards Perform basic data checks and data exploration (e.g. using frequencies, histograms) Program non-complex datasets and TFLs following specifications, applying good programming practice

General:

Attend and complete assigned training, demonstrate understanding of training. Attend internal and client study team meetings as required. 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 team members Seek opportunities to develop innovative ideas, sharing when appropriate

Qualifications

Minimum Qualification Requirements

MSc or Ph D in Statistics with knowledge in R Candidates who graduated in 2024, 2025, or 2026 are eligible to apply.

Other Information/Additional Requirements

Excellent verbal and written communication skills Interpersonal/teamwork skills for effective interactions Proficiency in data handling using SAS/R or other statistical software Self-management skills with a focus on results for timely and accurate completion of assigned training and study work tasks Demonstrate problem solving ability and attention to detail Ability to work independently and as part of a team