Deskripsi Pekerjaan
Are you a detail-oriented programmer passionate about life sciences? Thermo Fisher Scientific is seeking a skilled Programmer Analyst to join our Clinical Research team in Manila. In this role, you will play a pivotal part in the drug development lifecycle, leveraging your expertise in SAS programming and data analysis to drive bioinformatics innovation and ensure high-quality clinical trial outcomes.
You will work in a high-impact environment, collaborating with global teams to develop clinical datasets, reports, and visualizations that support vital regulatory submissions. If you thrive on solving complex technical challenges and want to make a tangible difference in global healthcare, we invite you to advance your career with a world leader in serving science.
Tanggung Jawab
- Develop, test, and maintain high-quality SAS programs for clinical data reporting and analysis.
- Transform complex raw clinical trial data into CDISC-compliant datasets (SDTM/ADaM).
- Generate tables, listings, and figures (TLFs) in accordance with clinical study protocols.
- Validate clinical database exports and perform data cleaning activities to ensure integrity.
- Collaborate with biostatisticians and clinical data managers to meet project timelines and regulatory requirements.
- Troubleshoot and resolve technical issues within the programming environment.
- Maintain documentation for all programming activities, ensuring compliance with SOPs and industry regulations.
Kualifikasi
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Bioinformatics, or a related field.
- Minimum of 2-4 years of professional experience in SAS programming, preferably within the CRO or Pharmaceutical industry.
- Strong technical proficiency in SAS/BASE, SAS/STAT, and SAS/GRAPH.
- Solid understanding of clinical trial design and regulatory reporting (CDISC standards, FDA/EMA guidelines).
- Exceptional analytical and problem-solving skills with high attention to data accuracy.
- Effective communication skills with the ability to work in a cross-functional, global team environment.
- Proficiency in SQL or additional programming languages (R or Python) is a significant advantage.