What are the responsibilities and job description for the Clinical Application Analyst position at Sidmans?
Job Details
Job Summary: We are seeking a skilled Developer for Clinical Applications to support a pharmaceutical client in building, enhancing, and optimizing clinical applications. The ideal candidate will have strong development expertise in clinical software solutions and a fundamental understanding of artificial intelligence (AI) to improve application performance, automation, and data-driven insights. Key Responsibilities: Develop, maintain, and enhance clinical applications. Collaborate with cross-functional teams, including clinical researchers, data scientists, and IT teams, to align application features with business needs. Integrate AI-driven capabilities into clinical applications for enhanced data processing, predictive analytics, and automation. Ensure compliance with regulatory requirements (e.g., FDA, HIPAA, GxP) in application development and maintenance. Troubleshoot and resolve technical issues, ensuring optimal application performance. Work with databases, APIs, and cloud platforms to support data-driven clinical applications. Stay updated on emerging AI technologies and their applications in the pharmaceutical and healthcare industry. Required Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, Bioinformatics, or a related field. 8 years of experience in software development, with at least 2 years focused on clinical applications. Proficiency in programming languages such as Python, Java, C#, or JavaScript. Experience with clinical software systems (e.g., EDC, CTMS, LIMS, CDMS). Understanding of AI/ML concepts and their application in clinical data processing. Experience with cloud platforms (AWS, Azure, or Google Cloud) and database management (SQL, NoSQL). Knowledge of regulatory and compliance frameworks in the pharmaceutical industry. Strong problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications: Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with clinical trial data standards (e.g., CDISC, SDTM, ADaM). |
Prior experience in pharmaceutical, biotech, or healthcare industries.
