Under the supervision and guidance of a manager, candidate should be able to perform first pass coding using a standard medical dictionary (MedDRA, WHODD); Generate queries related to clarity of reported terms ; Perform coding listings review and provide feedback. Review of protocol and CRF in relation to coding and evaluation of safety data. Logical thinking in grouping of MedDRA terms and medications for use in data analysis. (80%)
Apply clinical/medical background to review medical conditions; perform reconciliation between clinical database and CIOMS/MedWatch or safety related reports; review patient profiles and identify inconsistencies, or missing data. (20%)
Performs all duties according to company policy and regulations and guidance. Performs other duties assigned by the head of Clinical Coding & Safety Data Review or its manager. No travel required.
Quantitative analysis - Performs a comprehensive review for the all the reported and coded terms. To assure the presence of all coding targets not limited to LLT, PT and SOC and Trade name , Preferred Name ATC 2 and ATC 4 and their respective dictionary versions. Generate coding queries and queries related to any safety data review.
Qualitative analysis - Evaluates coding consistency and adequacy. Ensures that the selected codes accurately reflect the term as provided by the investigator. Reviews the codes for ICH compliance and adherence to coding guidelines and conventions. Ensures to write a quality and comprehensive narratives.
QUALIFICATIONS: Medical Degree, Physician-Assistant or PharmD or graduate of adequate health care related course with commensurate experience in use of dictionaries in Clinical trial setting. 5-8 years' experience. - Educational background in medical field with strong understanding of pathophysiology of diseases. - Strong knowledge of medical terminology, ability to apply to clinical coding using standard medical dictionary - Knowledge of Central coding or any coding tool system a plus, if not will train - Experience with INFORM is a plus, otherwise ability to use/learn complex computer system - Knowledge of Oncology Clinical trial Study is a plus, or ability to learn and apply experience in the area of clinical research - narrative writing skills a plus - Computer proficiency and Expertise on use of Excel and word - Strong oral and written communication skills - Self-motivated, pro-active, organized and quick learner -Able to work with minimum supervision and work independently
Ascent is a leading national technology consulting and professional services firm that focuses on tactical and strategic consulting. Ascent s fundamental business is providing staffing services to Large Enterprise clients in our core market verticals: Financial Services, Healthcare, and Life Sciences. We focus the majority of our efforts in Staff Augmentation support of Large Enterprise Clients who utilize a Vendor Management System. Ascent works as both a reliable supplier in support of programs, as well as a Strategic Advisor in support of enterprise efforts to establish best in class preferred vendor programs. Ascent was ranked in the 2007 and 2008 Inc. 500 and recognized specifically for its innovative work in staff augmentation support of Large Enterprise preferred vendor accounts.
If you are ready to propel your career to new heights read on. We are looking for talented and dedicated colleagues to join our phenomenal team. At Ascent, we have created an environment where culture, commitment and opportunity converge to yield a truly unique place to work. We know that every employee has something important to say and that every employee is integral to our success. Where else can you walk over to a founder and talk about your ideas to help build our business and have that idea implemented in 48 hours? More importantly, we do everything we can to make sure our employees not only have great jobs, but great lives.
Associated topics: medical, medical technologist, mlt, molecular, services, surgical technologist, technician i, technician iv, technician lab, testing
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.