Job Title: Advanced Clinical Data Science Developer
Develop innovative programming solutions for clinical trial data analysis, ensuring integration into the overall data management process.
Key Responsibilities:
* Design, validate, and maintain programming solutions for CDMS, data validation outputs, data review/risk management outputs, custom reports, and programs in clinical trials.
* Collaborate with data managers, project managers, clinical data scientists, and biostatisticians to ensure seamless integration of programming solutions.
* Act as primary point of contact during study setup and maintenance phase for system programming-related questions by the project team.
* Support colleagues with clinical trials environment and concepts of Clinical Data Management Systems.
* Perform data extracts from CDMS and creation of data transfer programs.
* Mentor junior programmers and provide guidance on programming best practices, coding standards, and data quality control measures.
* Stay updated on advancements in programming languages and data management tools to enhance operational efficiencies.
Requirements:
* Complete bachelor's degree in relevant field such as computer science, SAS, statistics, or life sciences.
* Extensive experience in programming for CDMS (EDC systems such as Rave/Veeva), data validation outputs, data review/risk management outputs, custom reports, and programs in clinical trials with proficiency in languages such as SAS, R, or Python.
* Strong problem-solving skills and ability to work collaboratively in fast-paced, cross-functional environment.
* Excellent attention to detail and organizational skills, with commitment to delivering high-quality results.
* Strong communication and interpersonal skills, with ability to effectively collaborate with diverse teams and influence outcomes.
* Must have advanced English communication, writing, and reading skills.
Benefits:
* Opportunity to work on challenging projects and develop expertise in clinical data science programming.
* Collaborative and dynamic work environment with experienced professionals.
* Continuous learning and professional development opportunities.