Statistical Programmer I

1w1 week ago

Quanticate

Hyderābād, IN · Full-time · INR 500,000 – INR 800,000

About this role

Launch your career in clinical data science where statistics meets programming. Recent Maths or Statistics graduates with passion for data, coding, or statistical analysis step into an entry-level role blending both in clinical research. Support statistical and programming teams with core focus on statistical tasks.

Involved in key stages of clinical trial reporting, help create datasets, review analysis plans, and generate tables, listings, and figures used in real studies. Contribute to design and delivery of derived and CDISC-compliant datasets. Assist in producing key statistical outputs for clinical trial reporting.

Quanticate is the world leading data-focused CRO working on complicated clinical trials requiring high statistical programming, statistics, and data management. Work with customers from top global pharmaceutical companies to small biotechs. Operate under guidance of experienced mentors while managing own tasks and deadlines.

Gain practical experience in statistics and programming within clinical research field. Exposure to global data standards like CDISC and regulatory practices such as ICH/GCP. Build strong foundation in clinical trial processes, data integrity, and statistical reporting plus professional development in supportive environment.

Requirements

Minimally qualified to BSc level in Statistics or Mathematics-based degree with high proportion of statistics content
Qualified to MSc level in Statistics or Maths
Understand the principles of statistics and how they pertain to clinical trials
Exposure to any programming discipline
Good PC skills including working knowledge of Windows environment, Microsoft Office, Microsoft Teams, and virtual conferencing
Proven organisational skills
Strong analytical and problem-solving skills

Responsibilities

Contribute to the design and delivery of both derived and CDISC-compliant datasets
Assist in producing key statistical outputs used in clinical trial reporting
Review AI-generated statistical documents for accuracy and alignment with clinical protocols
Learn and apply SAS programming techniques in real-world projects
Work under the guidance of experienced mentors while managing your own tasks and deadlines

Benefits

Exposure to global data standards like CDISC and regulatory practices such as ICH/GCP
Strong foundation in clinical trial processes, data integrity, and statistical reporting
Professional development in supportive and structured environment
Membership to professional societies and involvement in their activities and committees