Data Abstractor I — Precision Medicine Data

Tempus AI; New York (NY); On-site; USD 50,000 - 61,000; Full time

Benefits offered by this job

Benefits package

Incentive compensation

Restricted stock units

Medical benefits

Job summary

Tempus AI is seeking a Data Abstractor I to review clinical records and structure key data elements, enabling clinicians to access meaningful data and insights for patient care. This role sits at the intersection of healthcare technology and data analysis and is ideal for someone with a scientific or clinical background.

The successful candidate will extract and organize data from medical records, maintain QA standards, and contribute to developing a growing database for cancer and other

Qualifications

• BS or MS degree in Genetics, Molecular Genetics, Cancer Biology, Virology, Infectious Disease, Immunology, Microbiology or Biology preferred.
• 0–3 years work experience.
• Knowledge of medical/genomic terminology and pharmacy terms is a plus.
• Excellent interpersonal, written and verbal communication skills.
• Proficient in Google Suite (Gmail, Docs, Sheets).
• Obsessive attention to detail.
• Ability to work in an agile and expanding team environment.

Responsibilities

• Extract, structure and analyze data from medical records to construct the foundation of a growing database for cancer and other disease types.
• Work with multiple data sources to extract information to pull into various reports.
• Maintain highest quality standards through QA to identify and correct mistakes and inconsistencies in abstracted data.
• Learn new concepts in order to structure data on different disease types.
• Provide feedback on new product features and workflow improvements.

Skills

Attention to detail

Communication skills

Time management

Agile teamwork

Education

Bachelor’s or Master’s in Genetics/related field

Tools

Google Suite

Job description

Tempus AI is seeking a Data Abstractor I to review clinical records and structure key data elements, enabling clinicians to access meaningful data and insights for patient care. This role sits at the intersection of healthcare technology and data analysis and is ideal for someone with a scientific or clinical background.

The successful candidate will extract and organize data from medical records, maintain QA standards, and contribute to developing a growing database for cancer and other