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Data Analyst | Trial Library | Remote (United States)

February 10, 2026

Our mission is to improve health equity by expanding access to cancer precision medicine. Trial Library, Inc. is a venture-backed startup founded in 2022 to address inequities in clinical trial participation. Our technology is integrated with human-led navigation to enable clinical trial discovery for anyone, anywhere. Our vision is to be the leading discovery and recruitment platform for inclusive clinical trials. We are a diverse team of experts who believe that health equity starts with patient and provider empowerment. We believe that inequities in clinical trial access need to be addressed creatively and intentionally. We believe that inclusive research environments can answer questions that improve health outcomes for all, not just the few who participate in clinical trials. We believe in the power of technology to disseminate high quality health information about clinical trials sustainably. We believe in the power of representation in online health communication. The Data Analyst at Trial Library will play an integral part in expanding access to cancer clinical trials by supporting the development of a clinical trial matching tool and pioneering pre-screening efforts in community oncology settings . You will work closely with the Product and Operations teams at Trial Library. You will be responsible for translating complex clinical trial protocols into structured, standardized data that supports the matching of patients to appropriate clinical trials. Your work will involve close collaboration with clinical staff, stakeholders, and project teams to ensure that data collection processes are streamlined and optimized for accuracy and efficiency. This role requires strong attention to detail, analytical skills, and a deep understanding of clinical trials. <h3 class=" text-white font-semibold text-lg mb-2">Your Responsibilities</h3> <ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6"> <li class=" leading-snug mb-2 pl-2">Review and abstract clinical data from various sources including electronic and paper medical records, various databases, and <a href="http://clinicaltrials.gov" target="_blank" class="break-all font-medium underline hover:opacity-75" rel="noopener noreferrer nofollow">clinicaltrials.gov</a></li> <li class=" leading-snug mb-2 pl-2">Use predefined SOPs to capture key data elements and ensure consistency in data collection</li> <li class=" leading-snug mb-2 pl-2">Apply quality control procedures to identify and resolve data inconsistencies, discrepancies, or mission information in the abstraction process</li> <li class=" leading-snug mb-2 pl-2">Collaborate with internal stakeholders and Subject Matter Experts to refine data collection processes to streamline the capture of clinical trial data</li> <li class=" leading-snug mb-2 pl-2">Use reference material to appropriately facilitate accuracy and completeness of reports</li> <li class=" leading-snug mb-2 pl-2">Prepare pre-screening charts for clinician review and maintain source documentation</li> <li class=" leading-snug mb-2 pl-2">Compile daily and weekly pre-screening reports for Trial Library leadership</li> <li class=" leading-snug mb-2 pl-2">Document and maintain technically accurate best practices in SOPs for medical chart abstraction, reporting, and other data-related activities</li> <li class=" leading-snug mb-2 pl-2">Serve as liaison and resource for community oncology practices</li> <li class=" leading-snug mb-2 pl-2">Follow established policies and procedures to protect the confidential nature of clinical data</li> <li class=" leading-snug mb-2 pl-2">Be willing to travel to clinics, up to 25% of time</li> </ul> <h3 class=" text-white font-semibold text-lg mb-2">Your Qualifications</h3> <ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6"> <li class=" leading-snug mb-2 pl-2">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</li> <li class=" leading-snug mb-2 pl-2">Working knowledge of medical terminology required</li> <li class=" leading-snug mb-2 pl-2">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.</li> <li class=" leading-snug mb-2 pl-2">Prior experience using Excel, Google Suite, Qualtrics, SQL, Tableau</li> <li class=" leading-snug mb-2 pl-2">Strong ability to multitask and complete a high volume of work within deadlines</li> <li class=" leading-snug mb-2 pl-2">Exceptional attention to detail and strong organizational skillsFamiliarity with publicly available clinical trial databases such as <a href="http://clinicaltrials.gov" target="_blank" class="break-all font-medium underline hover:opacity-75" rel="noopener noreferrer nofollow">clinicaltrials.gov</a></li> <li class=" leading-snug mb-2 pl-2">Experience in data entry, data cleaning & management, and data quality assurance</li> <li class=" leading-snug mb-2 pl-2">Excellent communication skills to collaborate with clinical and non-clinical stakeholders</li> <li class=" leading-snug mb-2 pl-2">Bachelor’s or equivalent degree required</li> </ul> Our Core Values 1. Ally is our favorite moniker 2. The most inclusive approach is worth the work 3. Celebrate measurable improvements in equity outcomes 4. Fearless advocates for diversity 5. Incentives matter to stakeholders choosing our products 6. Taking initiative is actually giving 7. We are accountable for the experience of patients and providers 8. Empathy and humility are the real dynamic duo Trial Library, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.

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