Statistical Programmer II/III

Phastar; Bengaluru; Remote; INR 1,200,000 - 1,800,000; Full time

Job summary

Phastar in India is seeking a dedicated programmer to work on clinical and non-clinical trials, delivering non-complex datasets and outputs to high quality while meeting timelines. Familiarity with CDISC SDTM and ADaM guidelines is desired.

You will review data specs, create and debug simple macros, and contribute to SAPs and output shells for day-to-day programming activities. Strong teamwork and a willingness to learn in a collaborative environment are essential.

Qualifications

• BSc in Mathematics, Computer Science or related discipline.
• Significant demonstrable R experience.
• Solid understanding of CDISC data standards.
• Excellent communication skills, well-organized, proactive team player with a creative approach to problem-solving.
• MSc in Mathematics, Computer Science or a related discipline is advantageous.

Responsibilities

• Statistical expertise and scientific leadership
• Leadership and people development
• Compliance, quality and governance
• Communication and influence

Skills

R

CDISC data standards

Education

BSc in Mathematics or Computer Science

MSc in Mathematics or Computer Science (advantage)

Job description

Job Summary

Work as a programmer on clinical and non-clinical trials; producing non-complex datasets and outputs to excellent quality whilst adhering to deliverable timelines. Awareness of CDISC SDTM and ADaM implementation guidelines; reviewing and updating non-efficacy/non-complex data specifications; creating and debugging simple macros; understanding Statistical Analysis Plans (SAPs) and output shells for day to day programming activities. Excellent team work ethos, willingness to help others and learn new skills from working in a team environment.

This role is full-time and fully-remote. The successful candidate may be based in India.

Responsibilities

• Statistical expertise and scientific leadership
• Leadership and people development
• Compliance, quality and governance
• Communication and influence

Qualifications

• BSc in Mathematics, Computer Science or a related discipline
• Significant demonstrable R experience
• Solid understanding of CDISC data standards
• Excellent communication skills, well-organized, proactive team player with a creative approach to problem-solving
• MSc in Mathematics, Computer Science or a related discipline is advantageous

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