We are actively hiring for Freshers with educational background in M.Sc Statistics with R proficiency.
This prospect 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 positive 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 team-oriented working relationships with internal team members
Seek opportunities to develop innovative ideas, sharing when appropriate
Qualifications
Minimum Qualification Requirements
MSc or PhD 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