Clinical data Asociate
Growx · New York, United States · 1 wk ago
On-siteAnalystFull-time
Are you an international graduate looking to launch your life sciences career before your OPT clock runs out? Growx Tech IT LLC provides an intensive Clinical Data Associate (CDA) Transformation Program explicitly structured for F1-OPT and STEM OPT candidates. We bridge the gap between academic theory and industry demands with CDISC/SDTM training, dedicated resume marketing, mock interview support, and compliant documentation. Key Highlights of the Program Stop the OPT Clock: Rapid project-based enrollment to satisfy employment reporting and secure your status. Domain-Specific Training: Hands-on experience with Clinical Data Management Systems (EDC platforms like Medidata RAVE/InForm), CDISC standards (SDTM, CDASH), GCP, eCRF design, and discrepancy management. Resume Marketing: Customized life sciences resume positioning and targeted marketing to CROs, biotech firms, and pharmaceutical clients nationwide. Interview & Mock Support: Subject-matter mock sessions focused on clinical study protocols, FDA regulations, and technical screening questions. Background Check (BG) & Compliance Support: Standardized verification documentation and full onboarding assistance. Requirements Active F1-OPT, STEM OPT, or CPT authorization. Degree in Pharmacy, Biotechnology, Life Sciences, Public Health, Bioinformatics, or Chemistry. Familiarity with clinical trial phases, Good Clinical Practice (GCP), and basic database navigation. Analytical mindset with strong attention to protocol detail and documentation accuracy. Benefits Full documentation and project work aligned with regulatory and OPT compliance standards. Dedicated recruiter mapping to national pharmaceutical and CRO vendor networks. Flexible learning tracks, interview debriefs, and referral programs. Application Questions What is your current US work authorization / Visa status? What is your EAD Start Date? What is your primary academic background in life sciences? Skills: documentation,management,clinical data,life sciences