Junior Data Abstractor

A Junior Data Abstractor at Tempus is responsible for extracting and structuring data from clinical records. They ensure that healthcare professionals receive meaningful insights for patient treatment, contributing to the foundation of a growing database focused on cancer and other disease types.

Tempus is looking for candidates with a BS or MS degree in Genetics, Molecular Genetics, Cancer Biology, or related fields. While experience can vary, having 0-3 years in a relevant role, alongside strong communication skills and attention to detail, is essential for a Junior Data Abstractor.

Interested candidates can apply for the Junior Data Abstractor position at Tempus by submitting their resume and cover letter through our careers page, detailing their experience and enthusiasm for precision medicine and data analysis.

The working environment for a Junior Data Abstractor at Tempus is hybrid, allowing for a blend of in-office and remote work. The company promotes an agile, collaborative team culture where flexibility and adaptability are key.

To excel as a Junior Data Abstractor at Tempus, it's vital to have strong analytical skills, exceptional attention to detail, proficiency in Google Suite, and the ability to work efficiently under time constraints while maintaining quality standards.

At Tempus, Junior Data Abstractors have the opportunity for professional growth by engaging in continuous learning, providing feedback on workflow improvements, and participating in innovative projects that enhance their skill set in precision medicine.

While previous experience with medical terminology, genomic terminology, or pharmacy terms is a plus, it is not strictly required for the Junior Data Abstractor role at Tempus. A willingness to learn and adapt is highly valued.

In answering this question, highlight your relevant experience from past roles, academic projects, or internships. Be specific about the types of data you've worked with, the methodologies used for extraction, and how you ensured data integrity.

Discuss your approach to quality assurance, including any systematic checks or processes you implement. Emphasize your attention to detail and how it has contributed to previous projects in ensuring high-quality output.

Share a specific example that showcases your problem-solving skills and adaptability. Explain the challenge, your course of action, and the positive outcome that resulted, demonstrating how you can overcome obstacles effectively.

Talk about the tools you have used for data analysis, such as Google Suite, Excel, or databases relevant to the role. If you’ve used specialized medical or genomic data management systems, be sure to mention those as well.

Express your commitment to continuous learning by mentioning relevant resources you follow, such as journals, professional networks, or online courses. This shows your passion for the field and positions you as an informed candidate.

Craft your answer to include specifics about Tempus' mission in precision medicine and how the role aligns with your interests and career goals. Show enthusiasm for their innovative approach to healthcare and data utilization.

Illustrate your adaptability by sharing examples from past experience where you had to manage multiple tasks or shift priorities quickly. Discuss your strategies for maintaining productivity and focus amid change.

Emphasize the importance of teamwork and communication in abstracting data, expressing that working closely with clinicians and other team members is crucial for ensuring accuracy and effectiveness in your findings.

Outline a proactive approach to learning, such as utilizing reputable sources, consulting with colleagues, and applying new knowledge practically in your role. This showcases your eagerness to grow and perform well in varied situations.

Share your long-term goals, linking them back to your interest in data analysis and precision medicine. This conveys ambition and a genuine interest in the field, making you a more compelling candidate for Tempus.