Join Cyntegrity as an intern, one of the leading clinical trial risk management technology providers in the industry. We’re proud of our bespoke and highly rated MyRBQM® Portal and MyRBQM® Academy brands. At Cyntegrity, we specialize in delivering innovative solutions to improve clinical research. Our Data Science team plays a critical role in developing advanced models, analyzing data, and creating algorithms to de-risk clinical trials in the pharmaceutical field. Join us as a Central Monitor intern to gain hands-on experience in the world of data science while contributing to meaningful projects that make a real impact.

WHAT WE’RE LOOKING FOR:

We’re seeking curious, driven, and collaborative individuals who are eager to learn and make an impact. Here’s what you’ll need:

• Educational Background:
• Currently pursuing or recently completed a degree in Medicine / Pharmaceutic / Biology / Chemistry.
• Skills & Tools:
• Strong analytical and problem-solving skills.
• Experience with data visualization tools (e.g., Excel, Power Pivot, Power Query).
• Python coding skills are plus.
• CRA experience is a plus .
• Soft Skills:
• Effective communication skills, both verbal and written.

• Ability to work independently and as part of a team.A proactive and curious mindset, with a willingness to explore new ideas.

As a Central Monitor Intern, you will work alongside our talented team on projects that directly contribute to the success of our clinical trial risk monitoring solutions. Your responsibilities will include:

• Clinical Trial Data Analysis & Monitoring:
• Understanding of clinical trial protocols, risk assessment and risk management methods applied for the study.
• Design/Review metrics (KRI, Acceptable Ranges (ARs)), Subject Profile
• Design RM monitoring scenario(s) for the clinical trial(s)
• Analyzing clinical trial data (enrollment, metrics, Risk Indicators (RI), ARs).
• Using Risk Based monitoring technics prepare the clinical trial status report, propose Investigative Corrective Actions ( ICA) for the Risk escalation improvement, follow up ICA execution and effectiveness.
• Designing and developing algorithms to support data-driven decision-making.
• Collaboration & Optimization:
• Collaborating with team members to review specifications of metrics, key risk indicators, and quality tolerance limits.
• Proposing optimizations and improvements to existing processes and algorithms.
• Communication & Reporting:
• Presenting findings and insights using data visualization tools.
• Preparing clear and concise reports for internal and client-facing projects.
• Innovation & Learning:

• Exploring cutting-edge tools and techniques to enhance data analysis and modeling.Participating in brainstorming sessions to develop innovative solutions.