Trial Library
Trial Library is an evidence-based platform focused on improving patient recruitment and enhancing diversity in oncology clinical trials. The company engages with a network of community partners to recruit qualified patients, ensuring equitable representation in cancer research. Their unique sponsored research model facilitates new connections between community providers, trial sponsors, and trial sites, and offers patients 24/7 technology-enabled navigation services to overcome enrollment challenges. Trial Library aims to achieve inclusion in clinical trials, promoting equity in cancer treatment outcomes by addressing social determinants of health. Through their Ally Navigators, they provide high-quality, culturally competent services, integrating automation with a human touch to support patients and healthcare providers in the clinical trial process.
Clinical Trials • Patient Recruitment • Oncology
Data Analyst
September 20, 2024
Trial Library
Trial Library is an evidence-based platform focused on improving patient recruitment and enhancing diversity in oncology clinical trials. The company engages with a network of community partners to recruit qualified patients, ensuring equitable representation in cancer research. Their unique sponsored research model facilitates new connections between community providers, trial sponsors, and trial sites, and offers patients 24/7 technology-enabled navigation services to overcome enrollment challenges. Trial Library aims to achieve inclusion in clinical trials, promoting equity in cancer treatment outcomes by addressing social determinants of health. Through their Ally Navigators, they provide high-quality, culturally competent services, integrating automation with a human touch to support patients and healthcare providers in the clinical trial process.
Clinical Trials • Patient Recruitment • Oncology
📋 Description
• Review and abstract clinical data from various sources including electronic and paper medical records, various databases, and clinicaltrials.gov • Use predefined SOPs to capture key data elements and ensure consistency in data collection • Apply quality control procedures to identify and resolve data inconsistencies, discrepancies, or mission information in the abstraction process • Collaborate with internal stakeholders and Subject Matter Experts to refine data collection processes to streamline the capture of clinical trial data • Use reference material to appropriately facilitate accuracy and completeness of reports • Prepare pre-screening charts for clinician review and maintain source documentation • Compile daily and weekly pre-screening reports for Trial Library leadership • Document and maintain technically accurate best practices in SOPs for medical chart abstraction, reporting, and other data-related activities • Serve as liaison and resource for community oncology practices • Follow established policies and procedures to protect the confidential nature of clinical data
🎯 Requirements
• Prior direct experience with clinical data abstraction and a minimum of 2 years working in a clinical research setting with site level experience supporting clinical trial operations, with a focus on oncology preferred • Working knowledge of medical terminology required • Demonstrated proficiency in multiple software systems and EMRs used in hospital and clinical settings such as Epic Systems Corporation, Oracle Cerner, OncoEMR (Flatiron), Aria Oncology Information System (Varian), MOSAIQ (Elekta), iKnowMedGeneration 2 (McKesson), etc. • Prior experience using Excel, Google Suite, Qualtrics, SQL, Tableau • Strong ability to multitask and complete a high volume of work within deadlines • Exceptional attention to detail and strong organizational skills • Familiarity with publicly available clinical trial databases such as clinicaltrials.gov • Experience in data entry, data cleaning & management, and data quality assurance • Excellent communication skills to collaborate with clinical and non-clinical stakeholders • Bachelor’s or equivalent degree required
🏖️ Benefits
• Be willing to travel to clinics, up to 25% of time
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