4 Data Abstraction Jobs

About Triomics: Triomics is focused on creating a modern technology stack for oncology trial sites and investigators. The company aims to streamline the workflows of clinical care and clinical research, bringing the healthcare industry closer to the vision of Clinical Research as a Care Option. Triomics" platform, developed in collaboration with leading cancer centers, is built on a proprietary oncology-focused large language model (OncoLLM). This platform eliminates operational inefficiencies in patient recruitment, data curation, and other laborious tasks involved in clinical research, thereby facilitating the generation of high-quality data and expediting the clinical trials. You will be part of the Oncology Clinical Team, responsible for developing Oncology Data dictionaries, Curation/Abstraction SOPs, and more. As a member of this team, you will navigate electronic medical record systems and other medical databases. Your role will involve reviewing clinical trial data to ensure consistency, completeness, and compliance with study protocols and regulatory requirements. Additionally, you will review medical records and abstract medical record data related to specified disease and project requirements. Key Responsibilities: - Screening cases for relevant clinical trials across projects and disease subtypes. - Demonstrating knowledge of cancer trials, including understanding inclusion and exclusion criteria. - Utilizing critical thinking to abstract complex concepts. - Building data libraries and collaborating with multiple departments for project-specific requirements. - Serving as an oncology subject matter expert (SME) across all cancers, with a focus on liquid cancer types. - Accessing electronic data systems to review medical records and input data accurately. - Understanding and categorizing data such as Inclusion and Exclusion criteria, adverse events, medications, etc. - Reviewing project-specific documents and familiarizing yourself with project goals and tasks. - Sharing medical and procedural knowledge with other Data Abstractors. - Responding promptly to queries from project personnel. - Performing additional duties as assigned, including eligibility assessments and QC reviews. Qualifications: - Minimum 3+ years of experience in data abstraction or patient treatment data. - Preferably, experience in oncology with a strong focus on liquid tumors. - Background in clinical research or related fields, especially oncology trials. - Advanced clinical knowledge of chronic disease states. - Certification in clinical research or clinical data management. Education: - B.Sc (Nursing), BDS, BAMS, BHMS, MDS, B.Pharm, M.Pharm Skills and Abilities: - Strong written and verbal communication skills. - Ability to make independent judgments in abstracting medical data. - Flexibility in handling changing work assignments and project requirements. - Proficiency in Microsoft Office applications. Join Triomics for the opportunity to impact and benefit patients worldwide, experience a vibrant and collaborative work culture, tackle challenging problems in a regulated industry, and collaborate with industry experts while enjoying competitive compensation.,

Assign accurate ICD-10-CM, CPT, and HCPCS codes for surgical procedures; ensure compliance with coding guidelines; verify and abstract data from medical records in outpatient surgery and hospital settings. Required Candidate profile 2–4 years in surgical coding; proficiency in ICD-10-CM, CPT, HCPCS; knowledge of AMA, AHA, CMS guidelines; strong analytical skills; CPC or equivalent certification preferred.

What you will do The Global HEOR Systematic Literature Review (SLR) Leader oversees the development and delivery of systematic literature review activities within Amgens Global HEOR function. This operational and managerial role includes supervision of a team of Global HEOR SLR Analysts, ensuring high-quality, timely, and scientifically robust literature review outputs. The Global HEOR SLR Leader will align closely with Global HEOR TA Heads in support of global market access and value demonstration for Amgens products across their lifecycle. Lead, mentor, and handle a team of Global HEOR SLR Analysts, fostering a high-performance culture. Oversee the design, execution, and quality control of systematic literature reviews across therapeutic areas. Supervise the development of research protocols, screening strategies, and data abstraction tools. Collaborate with HEOR TA Heads to align literature review outputs with HEOR strategy. Serve as the functional guide on literature review within HEOR. Ensure consistency with PRISMA, PICOS, and other industry standards for evidence synthesis. Support integration of SLRs into HTA submissions, global value dossiers, and peer-reviewed publications. Continuously improve workflows, tools, and methodologies to enhance review efficiency and quality. Contribute to hiring, training, and performance evaluations within the SLR team. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The HEOR Systematic Literature Review Leader we seek should possess these qualifications. Basic Qualifications & Experience: Doctorate degree in health economics, public health, Epidemiology, Pharmacy, life sciences or related field and 2 years of experience in systematic literature reviews and evidence synthesis in the pharmaceutical, biotech or consulting setting OR, Masters degree in Health Economics, Public Health, Epidemiology, Pharmacy, life sciences or related field and 8 to 10 years of experience in systematic literature reviews and evidence synthesis in the pharmaceutical, biotech or consulting setting OR, Bachelors degree in Health Economics, Public Health, Epidemiology, Pharmacy, life sciences or related field and 10 to 14 years of experience in systematic literature reviews and evidence synthesis in the pharmaceutical, biotech or consulting setting OR, Diploma in Health Economics, Public Health, Epidemiology, Pharmacy, life sciences or related field and 14 to 18 years of experience in systematic literature reviews and evidence synthesis in the pharmaceutical, biotech or consulting setting 3+ years of experience in team management capacity. Skills & Competencies: Exceptional leadership, mentoring, and project management skills. Excellent English oral and written communication, with ability to tailor content to different key partners; past medical writing experience is a plus Advanced proficiency with systematic review tools and citation databases (e.g., PubMed, EMBASE). Skilled in Microsoft Office (Word, PowerPoint, Excel); experience with EndNote or other reference tools preferred. High attention to detail, quality assurance, and evidence integrity. Innovative use of artificial intelligence to boost efficiency Organizational Behaviors: Solution-oriented with a continuous improvement attitude. Strong interpersonal and customer engagement capabilities. Comfortable working in a distributed team across time zones and cultures.

Part of the Oncology Clinical Team, working on building Oncology Data dictionaries, Curation/Abstraction SOPs etc. Position Summary: The Person navigates electronic medical record systems and other medical databases. This role involves reviewing clinical trial data for consistency, completeness, and compliance with study protocols and regulatory requirements. reviews medical records, and abstracts medical record data related to specified disease and project requirements. Essential Job Functions: Screening of cases for relevant clinical trials across various projects and/or disease subtypes. Knowledge related to cancer trials is essential and required, including understanding their inclusion and exclusion criteria. Ability to use critical thinking to understand and abstract complex concepts. Building of data libraries and liaising with multiple departments when project specific requirements/needs arise. Act as an oncology subject matter expert (SME) across all cancers, especially across liquid cancer types. Access electronic data systems for review of medical records and enter specific data into congruent electronic data systems. Ability to understand the Inclusion, Exclusion criteria, adverse event, hospitalization data, medications details and categorize the data accordingly. Review project specific documents, as needed, to develop familiarity with project goals and with the Abstractor tasks in each project. Ability to understand the diagnostic, pathology and other reports and obtain the exact information required according to trial specific SOPs. Use other resources as needed to gain the knowledge required to perform Abstractor work on new projects. Share medical knowledge and project-specific procedural knowledge with other Data Abstractors as needed. Respond promptly to queries issued by the Lead Data Abstractor, Operations Manager or other project personnel. Conduct additional duties as assigned, including review of selected medical records to assess eligibility for new project, performing second level reviews/QC review of medical records. Qualification: Minimum 3+ years experience across data abstraction or any patient treatment related data is desirable. Oncology experience is preferable; familiarity with how cancer is treated from diagnosis through treatment and recovery and an understanding of cancer terminology, with a strong focus and knowledge on liquid tumors is essential. Experience in clinical research or related fields, especially in oncology trials is preferred. An advanced level of clinical knowledge associated with chronic disease states is required. Experience in clinical research or reviewed medical data for clinical trials. Certification done in clinical research or clinical data management. Education: B.Sc (Nursing), BDS, BAMS, BHMS, MDS, BPharm, MPharm Skills and Abilities: Language: Strong communication skills both written and verbal to work with multiple internal and external clients in a fast paced environment. Reasoning: Ability to make independent judgments in abstracting medical data and the knowledge of when to seek input from other staff. Flexibility: Flexibility in coping with changing work assignments, changing project requirements, varying training meeting schedules, and database resources that may not always function optimally. Computer: Ability to create and maintain documents using Microsoft office( word, excel, outlook and powerpoint)"