Education: Bachelor’s/Master’s in Statistics, Computer Science,Maths, Life Sciences, or related field or any other related discipline.
Essential skills
- Proficiency in SAS, SAS Macro and and other latest programming languages for application development.
- Experience with cloud computing platforms (AWS, Azure, or GCP).
- Understanding of SaaS applications and deployment strategies.
- Basic knowledge of clinical data management and transformation (raw to SDTM) and industry regulations such as CDISC.
- REST API framework
- Strong analytical and problem-solving skills.
- Ability to work independently and in a team-oriented environment.
Desired skills
- Excellent communication and collaboration skills.
- Strong attention to detail and time management abilities.
- Adaptability to changing requirements and willingness to learn new technologies.
Certifications, if any
SAS Certification, Python and R Programming
Summary
SAS Programmer with strong application development experience to design, develop and maintain interactive applications with a strong understanding of cloud-based systems and SaaS applications. The ideal candidate will also have a basic understanding of clinical data management (Raw & SDTM) and possess essential soft skills to collaborate effectively within a team-oriented environment and support data-driven applications and automation solutions within clinical research and regulatory environments.
- Develop and maintain interactive applications using SAS , SAS macros and R-Shiny, Python.
- Work with cloud platforms to understand how applications interact within the framework of cloud systems
- Integrate SaaS-based solutions into existing workflows.
- Ensure applications are optimized for performance, reliability, and security.
- Connect with other systems using REST API for bi-directional data exchange.
- Support clinical data management processes by automating data submission process (SDTMs)
- Collaborate with cross-functional teams, including data analysts and domain experts, to deliver high-quality solutions.
- Troubleshoot and resolve issues related to application functionality and data processing.
- Collaborate with senior analysts and stakeholders to ensure clear and accurate requirements documentation.
- Develop a foundational understanding of clinical trial data and metadata to support business solutions.
- Assist in user acceptance testing (UAT) and ensure business requirements are met.
- Support the documentation and alignment of business and technical processes with Sycamore Informatics product requirements.
- Demonstrated excellent verbal and written communication skills.
Desired Experience
- 5-10 years of SAS programming with strong application development experience to design, develop, and support data-driven applications and automation solutions within clinical research and regulatory environments