Teamware Solutions
Senior Statistical Programmer - Clinical SAS/CDISC
- Compensation
- Not disclosed
- Location
- India; Remote
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Not specified
- Posted
Skills
Full description
About the Company :
Greetings from Teamware Solutions a division of Quantum Leap Consulting Pvt. Ltd. Teamware Solutions (a division of Quantum Leap Consulting Pvt. Ltd.) is a 20+ year industry leader providing IT staffing and consulting services, supporting 4000+ professionals across India, the USA, the Middle East, and APAC for leading GCC clients.
About the Role :Role : Senior Statistical Programmer Clinical SAS / CDISC.
Locations : PAN India.
Work Model : Remote (Bangalore and Hyderabad are preferred).
Experience :** 6+ Years.
Notice Period : Immediate 15 days.
Job Description :Minimum Requirements :
- Bachelors degree in statistics, biostatistics, mathematics, computer science or life sciences required.
- At least 6 years programming experience in clinical industry recommended.
- Demonstrated proficiency in analytical programming.
- Have in-depth understanding of clinical data structure (e.g. CDISC standards) and relational database.
- Demonstrated skills in using software tools and applications, e.g., MS office, XML, Pinnacle 21.
- Demonstrated ability in the handling and processing of upstream data, e.g., multiple data forms, workflow, eDC, SDTM.
- Demonstrated ability in providing outputs to meet downstream requirements, e.g., ADaM, Data Definition Table, e-submission.
- Have good understanding of regulatory, industry, and technology standards and requirements.
- Have good knowledge of statistical terminology, clinical tests, medical terminology and protocol designs.
- Demonstrated ability to work in a team environment with clinical team members.
Preferred Requirements :
- Minimum of 6 years clinical / statistical programming experience within pharmaceutical clinical development Supporting regulatory filings (e.g. NDA, BLA, MAA).
- Knowledge of the drug development process, clinical trial methodology, statistics and familiarity with global regulatory requirements.
- Experience in other software packages (e.g. R).
- Experience with the Linux operating system.