Oncology Clinical Data Support Specialist

As an Oncology Clinical Data Support Specialist at Q-Centrix, you'll be responsible for tasks such as cancer case-finding, collecting cancer treatment records, and conducting follow-up activities. You'll also ensure compliance with regulatory and accreditation standards while using our proprietary technology to contribute to quality patient outcomes.

To qualify for the Oncology Clinical Data Support Specialist role at Q-Centrix, you should be currently enrolled in a Cancer Registry Management program, or have equivalent experience in cancer registry. A solid understanding of anatomy and physiology, as well as familiarity with electronic medical record systems, are key assets to thrive in this position.

At Q-Centrix, the work environment for Oncology Clinical Data Support Specialists is fully remote, offering flexibility in your schedule. We pride ourselves on fostering an inclusive culture that supports work-life balance, with generous PTO and options for professional development.

Q-Centrix is committed to the professional growth of our staff, offering paid professional development hours, a robust benefits package, and numerous opportunities for learning. We believe that investing in our team’s education and skills is essential for both individual and organizational success.

The compensation range for an Oncology Clinical Data Support Specialist at Q-Centrix is between $19.00 and $22.00 per hour. Individual pay rates vary based on skills, experience, and other factors, ensuring competitive remuneration that reflects your performance.

When answering this question, it's crucial to highlight your knowledge of cancer registry policies and procedures. Mention how effective cancer case-finding is key to identifying patient data for compliance and research purposes, and how you would utilize various resources to enhance case identification.

Here, you should discuss any relevant experience you've had with EMRs. Describe specific systems you've used, how you've navigated them, and any tasks you performed that demonstrate your comfort with technology in managing patient data.

In your response, emphasize your understanding of relevant standards and your meticulous approach to following protocols. Provide examples from your academic experience or internships where you maintained accuracy to adhere to such guidelines.

This is an opportunity to showcase your time management skills. Discuss a specific situation where you balanced various responsibilities, outlining the strategies you used for prioritization, effective communication with team members, and successful completion of tasks.

In answering this question, highlight your attention to detail and the methods you employ to minimize errors. This could include double-checking your work, utilizing checklists, and familiarizing yourself with data entry systems to maintain high standards.

Here, it's important to stress your communication skills and your understanding of collaboration’s significance in healthcare. Mention your approach to clear and respectful communication, active listening, and being open to feedback and sharing ideas.

When answering this, share your passion for healthcare and how you believe in the impact of data on improving patient outcomes. Discuss any personal experiences or aspirations that make oncology data support meaningful to you.

Emphasize your dedication to continuous learning. Discuss resources you use, such as professional organizations, webinars, or academic journals, and how you actively seek out training and education to stay current and informed.

Use the STAR method to articulate a specific project. Highlight the challenges faced, the actions you took to address those challenges, and the successful outcome of your efforts, showcasing your problem-solving abilities.

Discuss skills such as attention to detail, strong analytical abilities, and familiarity with medical terminology. Make sure to relate these skills back to the responsibilities of the job, illustrating how they play a critical role in data support.