August 12, 2016 | By the Resume Genius Team | Reviewed by Mark Slack, CPRW. In general, the organizations that employ the skills and competencies of clinical data analysts are colleges and universities, hospitals and clinics, pharmaceutical and biotechnology companies, clinical research facilities, government departments, and other healthcare facilities. Possessing strong technical skills rooted in substantial training as an engineer. Start your cover letter with a short intro paragraph introducing yourself and detailing the position you are applying for. A free to copy example of Data Analyst resume that can be edited for - business data analyst, clinical data analyst and financial data analyst positions. Build My Resume Now Quickly Customize. Provided support and serve as back-up to Lead Data Manager. Provided Data Management support for clinical trial databases such as: Initial Discrepancy reviews; Discrepancy closeouts; All levels of data QC; Database Listing Reviews How to write Experience Section in Analyst Resume, How to present Skills Section in Analyst Resume, How to write Education Section in Analyst Resume. Details. Correct minor errors related to formatting problems. We’ve analyzed countless applications in order to develop a data analyst resume that will land you more interviews. EMR Specialist (Clinical Analyst) Resume. Clinical data analysts are expected to have a bachelor's degree, and some employers may prefer a master's degree. Performed data entry for clinical projects from home-based office Provided customer service to nurses, doctors and CRAs Worked in call center team. Professional Summary Accomplished Clinical Data Associate who has extensive database maintenance and data mining experience. Similar Resumes. Executed test cases to validate OC 4.5.0. Develop documents that explain methodologies in evaluating healthcare expenditures and trends, Fits within Business side of our clinical organization, not within the IT structure, 1+ years of experience in healthcare financial data analysis and / or healthcare clinical analysis, translating analytic concepts, approaches and results, 2+ years of experience in a healthcare setting, Experience with analytic software programs such as R, SAS or SQL, Bachelor’s degree in mathematics, computing science, public health or related discipline or relevant healthcare experience, 1-2 years of progressively responsible experience in conducting analytic projects using administrative pharmacy and medical claims, Prepare and assist in defining the data transmission requirements, working together with data and technical analysts, to outline the data transmission services to be provided, Initiate and perform quality control tasks for incoming and/or outgoing data files, Ensure all specification and design documentation are filed and stored according to company policy, Understanding and verification of error logs generated by the LIMS Data Transmission creation programs, Record all evidence of the data transmission process from data file definition to closure of study, Ensure the internal queries are addressed and resolved effectively, Assist with reporting metrics for the department or individual sponsor deliveries when required, Good attention to detail to anticipate, address and/or escalate issues, with aptitude to embrace and be conduit for change, Ability to learn various regulatory requirements such as FDA, ICH, ISO HL7, and GLP (Good Laboratory Practices), Basic understanding of SAS and relational databases, Bachelor’s degree or educational equivalence in computer, life sciences or a related field, or a related field; or equivalent combination of education, training and experience, Anticipate, design, and measure solutions to facilitate the business and clinical needs of the organization including qualitative and quantitative reporting and analysis. They are employed with pharmaceutical or biotechnology companies or public/private academic research organizations. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. Objective : Over two years' experience as a Clinical Data Analyst Professional responsible for applying queries, reviewing protocols, and generating data clarifications. Analyzed 75-100 clinical trial reports a day then direct investigators to correct errors Assimilate data into FDA clinical trial database. Assures that data management standards are followed for the studies in charge, Coordinates DM study teams (Clinical Data Coordinators, contractors) assigned to support studies, Continually evaluates DM processes and applications for improvements. You have a very intelligent data analyst resume here that shows how a proper resume objective should be written. Used program centric databases and electronic medical record platforms for research and data analysis while maintaining quality, integrity, and security of patient/physician information. I am an enthusiastic Data Analyst with a long history of being interested in math and science. Skills : Data Management Activities, Data Analysis, Process Improvement. Utilized quantitative data analysis to support the development of guidance, advice, and direction to enhance the standard of care for providers as the core member of leadership teams. Posted on: 2011-01-15. Headline : Expertise in achieving outstanding project results, developing and delivering training, building and maintaining networks, recognizing the financial implication of decisions, and utilizing written and verbal communication skills. Clinical Data Analyst Resume. Develop and modify reporting configurations that meet design requirements. Objective : Clinical Analyst with a deep understanding and knowledge of healthcare informatics. Maintains patient confidentiality and ensures data accuracy, Identify trends in outcomes, utilization, medical quality and other areas, Master new computer software programs and upgrades, as applicable, Perform clinical analyses in a team oriented atmosphere and review the analytical outcomes to both clinical and non-clinical audiences, Serve as a role model to the Clinical Data Analyst team, Stay abreast on new solutions relevant to the department through various webinars and intermittent conferences requiring brief trave, Bachelors Degree in Finance, Mathematics, Statistics, Information Systems, Healthcare Management or related field and 5 years experience, MS Office proficiency required SQL/Business Intelligence knowledge preferred, Healthcare experience preferred Excellent interpersonal, oral and written communication skills required, Epic (UPMC's Electronic Medical Record) training is mandatory within the first year of employment, requiring one week of travel to Madison, Wisconsin, Develop critical knowledge of GHI study initiation, execution, analysis and closing procedures; study-related documentation; and study, program and business goals and milestones, Ensure the accurate, complete and timely collection and validation of genomic and clinical data for research studies, Build, configure, and program database structures in a variety of different platforms to maintain and manage genomic and clinical data for research studies, Programmatically manipulate and combine data from a variety of different sources, Work closely with colleagues from Biostatistics, Non-clinical biostatistics, Clinical Operations, Medical, Pathology and Program Management to ensure Data Management needs and status updates are addressed and well-communicated, Interact with collaborators, both internal within Genomic Heatlh and external, in order to gather requirements, plan deliverables and communicate progress and findings, Train clinical site personnel and collaborators on study-specific data management tools, Define and recommend standards, construct datasets and deliver data management oriented analysis and reporting of genomic and clinical data for research studies, Ensure the preparation and maintenance of documentation, as required by departmental standard operating procedures and practices, or regulations, Contribute to the ongoing development and improvement of department infrastructure including work instructions, Standard Operating Procedures and common-use programs, Participate in recruiting and hiring of staff, Train and mentor new and/or lower-level staff, Bachelor’s degree in life sciences, computer sciences, or other relevant discipline, Demonstrated competency with data management processes and procedures, Demonstrated ability to work as the lead data manager/analyst in a project team, Demonstrated programming proficiency with SAS, including moderate to complex data step programming and moderate to complex data reporting, Demonstrated proficiency with relational databases and programming moderate to complex SQL queries, Demonstrated proficiency in software development lifecycle practices including requirements definition, risk assessment and programming validation, Demonstrated coding skills in a modern clinical data management system/EDC platform, including edit check programming and dynamic entry screen programming, Demonstrated competency in the utilization of Microsoft tools, specifically Word; Excel; PowerPoint; and/or Project, Demonstrated excellent oral, written and presentation communication skills, Demonstrated ability to deliver quality results in a timely manner, either independently or by directing others, Demonstrated excellent organization skills and detail orientation, Demonstrated excellent negotiation and conflict resolution skills, Demonstrated ability to be highly effective in a fast-paced, rapid growth environment, Demonstrated programming skills in other data manipulation, analysis and reporting tools such as R and Tableau, Support set-up and testing of data analysis tools, Review clinical and operational study data to identify potential site performance and site organization issues, Train and support the project teams for the use of Clinical Risk Management systems and processes, Manage operational risk log for Clinical Risk management activities, Communicate effectively with the project team, CRAs, Project Managers, Clinical Trial Managers, DM Staff, Medical staff, Scientific Council to ensure decisions are taken to support adequate monitoring intervention and effective resolution of site performance issues, Performs or coordinate all data management activities for assigned studies, as appropriate, Ensures that all data management activities for assigned studies are completed on time and with high quality, Communicates effectively with peers, study teams and management as appropriate to support studies and goals, Leads efforts to improve Data Management processes, as needed/assigned, Represents the Data Management group at study team meetings and cross-functional task forces, Trains and mentors other Clinical Data Associates (CDAs) and Clinical Data Coordinators (CDCs), Applies and promotes best practices and established standards, Serves as a liaison between the study team and clinical data operations, Is a Subject Matter Expert (SME) in most areas within Data Management, Understands the whole clinical trial process and regulations that apply, engages in relevant professional associations or societies, and seeks continuing education about SJM devices and therapies, Suggest and drafts departmental Standard Operating Procedures (SOPs), Departmental Work Instruction (DWIs), and guidelines, Complies with U.S. Food and Drug Administration (FDA) regulations, International Conference on Harmonisation (ICH), ISO 14155, other regulatory requirements, applicable company policies, operating procedures and processes, Master's Degree in Computer Science, Informatics, Health Sciences, related field and a minimum of four plus years’ experience working in a clinical research environment or a Bachelors degree with six plus years’ experience working in a clinical research environment, Experience to include a thorough understanding of clinical data management processes, Strong organizational, project management and risk management skills, as well as attention to detail, Highly skilled with MS Office, especially Excel, Word, Publisher and Powerpoint, Strong ability to work with Clinical Data Management Systems. 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