Edward Asner has over 30 years of experience in clinical research and data management. He holds a BA in Liberal Arts and an AS in Medical Technology. Currently, he works as a Senior Clinical Data Manager for inVentiv Health, where he leads data management activities on global clinical trials. Previously, he has held roles as a Clinical Data Manager, Clinical Data Specialist, and Senior Clinical Data Associate for other clinical research organizations. He has extensive experience across many therapeutic areas and phases of clinical trials.
Resume kelly j. dupre 2016 from laKelly DupreKelly J. Dupre has over 20 years of experience in clinical data management and research. She has worked for various companies in roles such as clinical data coordinator, clinical data manager, and electronic medical records scanner. Her experience includes tasks like data entry, query generation, adverse event reconciliation, and ensuring accurate and consistent data in clinical trials. She is proficient in MS Office and specialized data management software.
Medical Transcriptionist Review reduces Errors in NLP-EHR DocumentsMedical Transcription Service CompanyEven as the use of speech recognition (SR) becomes widespread, human transcriptionists are still vital to ensure error-free clinical documentation.
The OneSource Initiative: An Approach to Structured Sourcing of Key Clinical ...Mike Hogarth, MD, FACMI, FACPAn overview of the OneSource initiative, which a new framework and approach to sourcing clinical data in electronic healthcare record systems (EHRs).
The impact of electronic data capture on clinical data managementClin Pluselectronic data capture (EDC)-based clinical trials offer operational and cost-effective approaches for ongoing data entry via the Internet for clinical sites; medical monitoring; monitoring by clinical research associates including initial review. Pharmaceutical, biotechnology, and medical device industry, as well as academia and the government, have all begun to adopt EDC as a new data management tool.
eMagzine Spring 2016 (Trusha Hake)Trusha HakeThis document summarizes the author's experience with data quality assurance procedures during their practicum working on an epidemiological study on autism in Jamaica. Their responsibilities included double data entry in REDCap, data cleaning using SAS to identify discrepancies and missing data, and communicating issues to the Jamaican research team. The final cleaned dataset was uploaded to NDAR following data sharing rules. They gained experience using REDCap and SAS software and learning research processes from basic levels.
Clinical data management basicsSurabhi JainClinical data management (CDM) involves collecting, validating, and cleaning patient data from clinical trials to ensure it is complete, consistent, and compliant. A CDM team typically includes clinical data managers, programmers, and data entry associates. They are involved in all stages from study setup to completion. Key CDM activities include designing case report forms, programming data validation checks, overseeing data entry into clinical data management systems, manually and electronically cleaning the data, reconciling safety data with external sources, and locking the database once the trial is complete and the data is ready for analysis. The goal is to generate high-quality clinical trial data that can be analyzed to advance drug development timelines.
CDMPristyn Research SolutionsCLINICAL DATA MANAGEMENT
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Cdmmanishw21The document provides an overview of clinical data management (CDM) responsibilities and processes. It discusses the CDM mission of ensuring high quality, consistent, accurate and valid data collection. Key CDM responsibilities include protocol review, database design, data entry, verification, coding, query resolution and ensuring data quality. The CDM process involves multiple stages from database design to data transformation and locking. Medical coding systems like MedDRA are used to standardize adverse event and medical condition terms. Case report forms and logging procedures are also outlined.
A Standards-based Approach to Development of Clinical Registries - NZ Gestati...Koray AtalagMy prezo at Medinfo 2015 for openEHR Developers Workshop
Shinji Kobayashi, Pablo Pazos, Koray Atalag, Sebastian Garde, Ian McNicoll, Erik Sundvall
Electronic Data Capture & Remote Data CaptureCRB TechCRB Tech is one of the best leading Software Development Company in Pune. We are offering Software Development Services as well as IT Training including Java, Dot Net, SEO and Clinical Research training in pune.
ResumeDivine NsoesieDivine T. Nsoesie has over 10 years of experience in biomedical engineering, medical assisting, and quality assurance. She holds a B.S. in Biomedical Engineering from the University of Maryland and has skills in engineering software, laboratory techniques, and medical device testing and validation. Her most recent role is as a Manufacturing Engineer at GE Healthcare, where she develops testing protocols and regulatory reports to ensure medical device quality and compliance.
Marilyn Kaye Mowrey Resume 2016Kaye MowreyMarilyn Kaye Mowrey is seeking a full-time position in clinical data management or clinical database programming. She has over 15 years of experience in establishing policies and procedures for data management, database design, database validation, data cleaning, and creation of standard and ad hoc reports. Her experience includes positions at ReliantHeart, Autonomic Technologies, Covidien, EnteroMedics, Transoma, and Eminent Research/PPD Medical Device where she developed clinical research databases, cleaned data, programmed reports, and assisted with data analysis and annual reports to the FDA. She has a Bachelor of Science in IT with a database emphasis from Kaplan University and has taken online courses in statistics, biostatistics
ODC PharmaStephanie MooneyODC Pharma is a staffing and recruiting firm that partners with pharmaceutical, CRO, biotech, and medical device organizations globally to help them attain excellence in their talent strategies. They provide temporary staffing, temp-to-perm placements, direct hire/permanent staffing, executive level staffing, and outsourcing/specialized staffing services. Some of the clinical and scientific positions they recruit for include clinical research associates, clinical data managers, SAS programmers, regulatory affairs specialists, biostatisticians, lab technicians, toxicologists, and more.
Efficient Data Reviews and Quality in Clinical Trials - Kelci MiclausQuanticateKelci Miclaus from SAS JMP: 'Efficient Data Reviews and Quality in Clinical Trials' - presented at Clinical Data Live 2013.
Clinical Data ManagementShray JaliClinical data is the most valuable asset to pharmaceutical companies as it serves as the basis for approval and marketing of new drugs. Clinical data is collected from various sources like clinical trial sites, laboratories, and subjects. It is important to manage clinical data carefully to minimize errors and ensure data quality. Clinical data management systems are used to store clinical trial data gathered at sites and help researchers analyze the data while maintaining accuracy and security. These systems employ features like double data entry, coding standards, and metadata repositories to organize data for regulatory submissions and clinical research.
ResumeChrista MeyerChrista Meyer has over 6 years of experience in biomedical engineering. She has worked as a project engineer evaluating medical devices to ensure safety and compliance with standards. Her experience also includes engineering roles developing diagnostic medical devices and assisting with clinical feasibility studies and testing. She has strong skills in project management, testing, and technical documentation.
Cracking the Code: When and How to Validate ICD Algorithms for RWEInsideScientificThe availability of real world (e.g., routinely collected) data has allowed researchers to generate massive amounts of evidence on epidemiology, natural history, disease burden, and drug efficacy. However, very few studies conducted with these data use validated code algorithms to identify the study cohort, exposure, or control variables. Even when algorithms are validated, their performance is often suboptimal. Several research groups and government agencies have offered recommendations for when and how algorithms should be validated and how the results should be reported.
Key learning objectives:
- The majority of studies performed with real world data lack adequate algorithm validation.
- Exposures and outcomes algorithms are often more important to validate than population identification algorithms.
- Positive predictive value, while the most often reported validation statistic, may not be the most useful or important one
- Validation of algorithms for rare conditions requires a different approach than for common ones.
- Medical record review remains the only reliable validation method in most cases and cannot be reliably performed with artificial intelligence techniques.
- Validation of code algorithms using accepted methods improves study quality and increases chance of publication acceptance at higher impact journals.
jlm resume (Nov.2016)Jennifer MobleyJennifer Mobley has over 15 years of experience in medical laboratories. She has a proven track record of effectively communicating with physicians, nurses, and administrators. Mobley is proficient in a variety of clinical and administrative duties including performing laboratory tests, maintaining quality standards, and developing training programs. She holds an Associate's degree in medical laboratory technology and multiple certifications. Mobley is looking for a new opportunity to apply her skills.
Health Science Data and Metadata: Trends and NeedsLynne FredericksonPresentation to the University of Michigan Taubman Health Sciences Library March 2016. Includes an addendum of slides on ICD-10.
Clinical Data Management Training @ Gratisol LabsGratisol LabsClinical data management involves processing clinical trial data using computer applications and database systems. It supports the collection, cleaning, and management of subject data. Key aspects of clinical data management include CRF design, database setup, data entry, discrepancy management, medical coding, quality control, and database lock. The goal is to ensure the integrity and quality of clinical trial data.
Case Study 5Obaid Ali / Roohi B. ObaidThe document outlines a comprehensive investigation into data inaccuracy at laboratories and manufacturing operations. It involves interviewing current and former employees to identify the root causes of data issues. The investigation will also assess data integrity deficiencies, including omissions and alterations, across all operations. It will conduct a retroactive evaluation of past data integrity issues through a third party expert to fully understand the nature and impact of any deficiencies. The overall goal is to accurately assess any data problems to ensure safety, effectiveness and quality of drugs.
Resume ITand HIMKim EdwardsKim Edwards has over 20 years of experience in healthcare operations and patient care. She holds an Associate of Science degree in Health Information Technology from DeVry University and is a certified Registered Health Information Technician. Currently she works as a Nursing Communications Technician at Cedar Sinai Medical Center where she files charts, answers phones, and enters physician orders into Epic. She is proficient in various EHR systems like Epic, Meditech, and Quantim.
Trial Master File (TMF): FDA Expectations from Sponsors and SitesOnlineCompliance PanelLearn how to create and maintain a Trial Master File for your site or clinical trial and what are the critical components of a TMF. Register for the webinar.
Clinical data management and software packages final edc and rdcPristyn Research SolutionsScientific & systematic collection of data for clinical study is called as Clinical data management .
EDC
RDC
HISTORY
EVOLUTION OF CLINICAL DATA CAPTURE
CRITERIA FOR IDENTIFYING AN EDC
REGULATORY GUIDELINE ON EDC
EDC ISSUES
VALIDATING ELECTRONIC SOURCE DATA
Resume_TLA_ME_posTim ArleoTimothy Arleo is seeking a mechanical engineering position with a focus on his background in chemistry. He has a 3.92 GPA in mechanical engineering from Georgia Tech. His experience includes designing medical devices to study thrombus formation as an undergraduate researcher. He also coordinated HVAC and plumbing projects as an intern and managed guest services at the Georgia Tech Student Center. His skills include CAD, programming, machining, laboratory techniques, and conversational Spanish. He has received awards including the President's Undergraduate Research Scholarship and has volunteered for crisis counseling and in a cardiac care unit.
DanaM 0116 plus R6Dana McLymondThe document is a resume for Dana McLymond summarizing their experience and qualifications for a laboratory technician position. McLymond has over 20 years of experience working in various academic, clinical, and manufacturing laboratory roles. Their experience includes molecular biology techniques like PCR, electrophoresis, and cell culture. They also have experience working with laboratory equipment and computers. McLymond holds degrees in Philosophy and Medical Laboratory Technology and has taken additional pre-med coursework. They are seeking a stable position in Delaware and have a proven track record of laboratory experience.
Controlled vocabularies for medical and health researchARDCThis document discusses controlled vocabularies in medicine and health. It defines controlled vocabularies as structured lists of terms used to describe and index medical resources that improve search, description, communication and research. Examples of health vocabularies include MeSH, SNOMED CT, and LOINC. Controlled vocabularies help increase precision in searching by describing relationships between concepts through hierarchies, equivalence and associations. Resources and browsers are provided to access and use standard health vocabularies.
Rahul Resume - RA CVrahul gunasekeraRahul Gunasekera has over 5 years of experience in clinical research and laboratory work. He currently coordinates clinical drug trials to satisfy regulatory standards as a clinical research coordinator. Previously, he worked as a surgical/histological technician processing tissue samples and training medical residents. In school, he conducted experiments in immunology and assisted researchers, developing skills in microscopy, cell culture, and molecular biology techniques.
legal cvMartha SchmidtMartha Schmidt has over 20 years of experience in clinical research, drug development, and the medical field. She has worked for several large pharmaceutical companies, managing clinical trials and ensuring regulatory compliance. She is knowledgeable about all phases of drug development and has experience in clinical oncology. Schmidt has extensive expertise in clinical data review and analysis. She is passionate about assisting with product liability and medical malpractice litigation through case review and serving as an expert witness.
Revelatory Trends in Clinical Research and Data ManagementSagar GhotekarRevelatory Trends in Clinical Research and Data Management
Clinical data management is a heart and importantpart of aclinical trials, the outcome to generate quality data and accounting of records to protect clinical trial participants data leads to highest quality and integrity of clinical trials.
A Standards-based Approach to Development of Clinical Registries - NZ Gestati...Koray AtalagMy prezo at Medinfo 2015 for openEHR Developers Workshop
Shinji Kobayashi, Pablo Pazos, Koray Atalag, Sebastian Garde, Ian McNicoll, Erik Sundvall
Electronic Data Capture & Remote Data CaptureCRB TechCRB Tech is one of the best leading Software Development Company in Pune. We are offering Software Development Services as well as IT Training including Java, Dot Net, SEO and Clinical Research training in pune.
ResumeDivine NsoesieDivine T. Nsoesie has over 10 years of experience in biomedical engineering, medical assisting, and quality assurance. She holds a B.S. in Biomedical Engineering from the University of Maryland and has skills in engineering software, laboratory techniques, and medical device testing and validation. Her most recent role is as a Manufacturing Engineer at GE Healthcare, where she develops testing protocols and regulatory reports to ensure medical device quality and compliance.
Marilyn Kaye Mowrey Resume 2016Kaye MowreyMarilyn Kaye Mowrey is seeking a full-time position in clinical data management or clinical database programming. She has over 15 years of experience in establishing policies and procedures for data management, database design, database validation, data cleaning, and creation of standard and ad hoc reports. Her experience includes positions at ReliantHeart, Autonomic Technologies, Covidien, EnteroMedics, Transoma, and Eminent Research/PPD Medical Device where she developed clinical research databases, cleaned data, programmed reports, and assisted with data analysis and annual reports to the FDA. She has a Bachelor of Science in IT with a database emphasis from Kaplan University and has taken online courses in statistics, biostatistics
ODC PharmaStephanie MooneyODC Pharma is a staffing and recruiting firm that partners with pharmaceutical, CRO, biotech, and medical device organizations globally to help them attain excellence in their talent strategies. They provide temporary staffing, temp-to-perm placements, direct hire/permanent staffing, executive level staffing, and outsourcing/specialized staffing services. Some of the clinical and scientific positions they recruit for include clinical research associates, clinical data managers, SAS programmers, regulatory affairs specialists, biostatisticians, lab technicians, toxicologists, and more.
Efficient Data Reviews and Quality in Clinical Trials - Kelci MiclausQuanticateKelci Miclaus from SAS JMP: 'Efficient Data Reviews and Quality in Clinical Trials' - presented at Clinical Data Live 2013.
Clinical Data ManagementShray JaliClinical data is the most valuable asset to pharmaceutical companies as it serves as the basis for approval and marketing of new drugs. Clinical data is collected from various sources like clinical trial sites, laboratories, and subjects. It is important to manage clinical data carefully to minimize errors and ensure data quality. Clinical data management systems are used to store clinical trial data gathered at sites and help researchers analyze the data while maintaining accuracy and security. These systems employ features like double data entry, coding standards, and metadata repositories to organize data for regulatory submissions and clinical research.
ResumeChrista MeyerChrista Meyer has over 6 years of experience in biomedical engineering. She has worked as a project engineer evaluating medical devices to ensure safety and compliance with standards. Her experience also includes engineering roles developing diagnostic medical devices and assisting with clinical feasibility studies and testing. She has strong skills in project management, testing, and technical documentation.
Cracking the Code: When and How to Validate ICD Algorithms for RWEInsideScientificThe availability of real world (e.g., routinely collected) data has allowed researchers to generate massive amounts of evidence on epidemiology, natural history, disease burden, and drug efficacy. However, very few studies conducted with these data use validated code algorithms to identify the study cohort, exposure, or control variables. Even when algorithms are validated, their performance is often suboptimal. Several research groups and government agencies have offered recommendations for when and how algorithms should be validated and how the results should be reported.
Key learning objectives:
- The majority of studies performed with real world data lack adequate algorithm validation.
- Exposures and outcomes algorithms are often more important to validate than population identification algorithms.
- Positive predictive value, while the most often reported validation statistic, may not be the most useful or important one
- Validation of algorithms for rare conditions requires a different approach than for common ones.
- Medical record review remains the only reliable validation method in most cases and cannot be reliably performed with artificial intelligence techniques.
- Validation of code algorithms using accepted methods improves study quality and increases chance of publication acceptance at higher impact journals.
jlm resume (Nov.2016)Jennifer MobleyJennifer Mobley has over 15 years of experience in medical laboratories. She has a proven track record of effectively communicating with physicians, nurses, and administrators. Mobley is proficient in a variety of clinical and administrative duties including performing laboratory tests, maintaining quality standards, and developing training programs. She holds an Associate's degree in medical laboratory technology and multiple certifications. Mobley is looking for a new opportunity to apply her skills.
Health Science Data and Metadata: Trends and NeedsLynne FredericksonPresentation to the University of Michigan Taubman Health Sciences Library March 2016. Includes an addendum of slides on ICD-10.
Clinical Data Management Training @ Gratisol LabsGratisol LabsClinical data management involves processing clinical trial data using computer applications and database systems. It supports the collection, cleaning, and management of subject data. Key aspects of clinical data management include CRF design, database setup, data entry, discrepancy management, medical coding, quality control, and database lock. The goal is to ensure the integrity and quality of clinical trial data.
Case Study 5Obaid Ali / Roohi B. ObaidThe document outlines a comprehensive investigation into data inaccuracy at laboratories and manufacturing operations. It involves interviewing current and former employees to identify the root causes of data issues. The investigation will also assess data integrity deficiencies, including omissions and alterations, across all operations. It will conduct a retroactive evaluation of past data integrity issues through a third party expert to fully understand the nature and impact of any deficiencies. The overall goal is to accurately assess any data problems to ensure safety, effectiveness and quality of drugs.
Resume ITand HIMKim EdwardsKim Edwards has over 20 years of experience in healthcare operations and patient care. She holds an Associate of Science degree in Health Information Technology from DeVry University and is a certified Registered Health Information Technician. Currently she works as a Nursing Communications Technician at Cedar Sinai Medical Center where she files charts, answers phones, and enters physician orders into Epic. She is proficient in various EHR systems like Epic, Meditech, and Quantim.
Trial Master File (TMF): FDA Expectations from Sponsors and SitesOnlineCompliance PanelLearn how to create and maintain a Trial Master File for your site or clinical trial and what are the critical components of a TMF. Register for the webinar.
Clinical data management and software packages final edc and rdcPristyn Research SolutionsScientific & systematic collection of data for clinical study is called as Clinical data management .
EDC
RDC
HISTORY
EVOLUTION OF CLINICAL DATA CAPTURE
CRITERIA FOR IDENTIFYING AN EDC
REGULATORY GUIDELINE ON EDC
EDC ISSUES
VALIDATING ELECTRONIC SOURCE DATA
Resume_TLA_ME_posTim ArleoTimothy Arleo is seeking a mechanical engineering position with a focus on his background in chemistry. He has a 3.92 GPA in mechanical engineering from Georgia Tech. His experience includes designing medical devices to study thrombus formation as an undergraduate researcher. He also coordinated HVAC and plumbing projects as an intern and managed guest services at the Georgia Tech Student Center. His skills include CAD, programming, machining, laboratory techniques, and conversational Spanish. He has received awards including the President's Undergraduate Research Scholarship and has volunteered for crisis counseling and in a cardiac care unit.
DanaM 0116 plus R6Dana McLymondThe document is a resume for Dana McLymond summarizing their experience and qualifications for a laboratory technician position. McLymond has over 20 years of experience working in various academic, clinical, and manufacturing laboratory roles. Their experience includes molecular biology techniques like PCR, electrophoresis, and cell culture. They also have experience working with laboratory equipment and computers. McLymond holds degrees in Philosophy and Medical Laboratory Technology and has taken additional pre-med coursework. They are seeking a stable position in Delaware and have a proven track record of laboratory experience.
Controlled vocabularies for medical and health researchARDCThis document discusses controlled vocabularies in medicine and health. It defines controlled vocabularies as structured lists of terms used to describe and index medical resources that improve search, description, communication and research. Examples of health vocabularies include MeSH, SNOMED CT, and LOINC. Controlled vocabularies help increase precision in searching by describing relationships between concepts through hierarchies, equivalence and associations. Resources and browsers are provided to access and use standard health vocabularies.
Rahul Resume - RA CVrahul gunasekeraRahul Gunasekera has over 5 years of experience in clinical research and laboratory work. He currently coordinates clinical drug trials to satisfy regulatory standards as a clinical research coordinator. Previously, he worked as a surgical/histological technician processing tissue samples and training medical residents. In school, he conducted experiments in immunology and assisted researchers, developing skills in microscopy, cell culture, and molecular biology techniques.
legal cvMartha SchmidtMartha Schmidt has over 20 years of experience in clinical research, drug development, and the medical field. She has worked for several large pharmaceutical companies, managing clinical trials and ensuring regulatory compliance. She is knowledgeable about all phases of drug development and has experience in clinical oncology. Schmidt has extensive expertise in clinical data review and analysis. She is passionate about assisting with product liability and medical malpractice litigation through case review and serving as an expert witness.
Revelatory Trends in Clinical Research and Data ManagementSagar GhotekarRevelatory Trends in Clinical Research and Data Management
Clinical data management is a heart and importantpart of aclinical trials, the outcome to generate quality data and accounting of records to protect clinical trial participants data leads to highest quality and integrity of clinical trials.
CV Larissa Rugg_23Mar2016Larissa RuggThis document is a resume for Larissa Kimberly Rugg that outlines her education and experience in clinical research and healthcare. She has a Bachelor of Science in Biology from Syracuse University and relevant coursework. Her experience includes roles as a Clinical Systems Support Associate, Clinical Research Assistant, Clinical Research Specialist, Clinical Research Coordinator, Medical Case Manager, Laboratory Technician, Medical Assistant, and Specimen Processing Specialist. She has worked for several pharmaceutical and medical organizations conducting clinical trials, coordinating research studies, and processing medical specimens and patient information.
12-11-2015 CV___NAZNEEN Data Manager- RUSHNazneen MerchantThis document provides a summary and resume for Nazneen Merchant. It outlines her experience in healthcare data and quality assurance spanning over 15 years, including her current role as a Clinical Accreditation Coordinator at Rush University Medical Center where she coordinates patient data and clinical information for bone marrow transplants. Previously she held roles as a Clinical Data Coordinator at Lurie Children's Hospital of Chicago and data processing roles at Cardinal Health Inc. She has an MBA and MD equivalent degree from India and is computer literate in various software programs.
Enock Mbota_Curriculum_vitae_15_nov_2016Enock MbotaEnock Mbota has over a decade of experience managing clinical trial data and is seeking a position as a study monitor. He has extensive skills in data management, clinical trials monitoring, database development, and computer programming. Currently he is a data officer for the PROMISE Study at the University of North Carolina Project in Malawi, where his responsibilities include verifying data sources, maintaining data quality, and managing a team of data assistants. He has education and training in clinical research, data management, statistics, and computer science.
ResumeDolores StadtmauerDOLORES M.Stadtmauer
Ocala, Florida
SUMMARY OF QUALIFICATIONS
More than twenty years of experience various Including ten years of solid experience in the clinical drug development process Pharmaceutical and drug safety. Major Strengths: a solid work ethic, a mind for analytical detail, and an Ability to meettimelinesin a challenging environment.
BUSINESS BACKGROUND
BRISTOL-MYERS SQUIBB COMPANY - HOPEWELL, NJ
Safety Regulatory Associate - Drug Safety &PharmacovigilanceGLOBAL & Labeling 04/99 - 10/05
ResumeDolores StadtmauerDolores Stadtmauer has over 20 years of experience in clinical drug development and pharmaceutical safety. Her experience includes 10 years at Bristol-Myers Squibb as a Safety Regulatory Associate and Clinical Data Examiner, where she processed adverse drug events, coded medical data, and ensured clinical studies adhered to good practices. She has strong analytical skills and a proven ability to meet timelines in challenging environments.
CDM_Process_Overview_Katalyst HLSKatalyst HLSClinical data management involves processing clinical trial data through activities like data entry, validation, query resolution and medical coding. It aims to ensure the integrity and quality of clinical trial data, which regulatory agencies rely on for drug approval. The document provides an overview of the clinical data management process and roles involved at each stage, from study set-up to closeout.
sagarpaulkar_14-Feb-2017Sagar PaulkarSagar Paulkar has over 10 years of experience in clinical research and testing electronic data capture software. He currently works as a Clinical Test Engineer for Medrio, where he tests new versions of their electronic data capture software and ensures compliance with regulations. Previously he worked as a Clinical Research Coordinator conducting multiple oncology trials simultaneously and coordinating clinical trials. He has extensive training in clinical research and has worked on over 15 clinical trials covering various therapeutic areas.
RESUME_Arjun KulshresthaArjun KulshresthaThis resume is for Mr. Arjun Kulshrestha, a pharmacist seeking a career in clinical research. He has over 5 years of experience in clinical data management and has worked with companies like Quintiles, Cognizant, and Tech Observer India. His roles have included clinical data coordinator, junior data analyst, and clinical data associate. He is proficient in databases like RAVE, Oracle Clinical, and INFORM and has experience in tasks like data cleaning, query handling, SAE reconciliation, and dataset validation.
Darcy_Szecsy_ResumeDarcy SzecsyDarcy Szecsy has over 15 years of experience in scientific research roles. From 2005-2015, she worked at Bastion Technologies as a Scientist in their Neurosciences Laboratory, where she reviewed scientific papers, developed testing procedures and schedules, and tracked protocol development. She previously worked as an Integration Coordinator from 2006-2012, where she planned and coordinated multi-disciplinary research studies from start to finish. Szecsy has also held roles as a Laboratory Coordinator processing and transporting biological samples, and as an Experiment Support Scientist supporting hardware development for experiments in space. She has a Bachelor's degree in Marine Biology from Texas A&M University.
Professional ResumeDaniel BoxDaniel Box has over 20 years of experience in highly technical medical organizations, including managing a 19-bed hospital ward and 5,000-patient family practice clinic. He has worked in various data entry, patient support, and human resources roles. Box also served for over 11 years in the US Air Force as a senior non-commissioned officer, supervising medical personnel at several facilities and earning multiple commendations. He holds a Bachelor's degree and seeks to continue leveraging his leadership, technical, and medical experience.
CVResumeAug2016Richard WilloughbyRichard Willoughby has over 15 years of experience in the pharmaceutical and healthcare industries. He has worked as a Safety Data Analyst, Clinical Data Management Associate, and Information Specialist. He possesses skills in data management, pharmacovigilance, medical terminology, and working with databases such as ARISg, Oracle Clinical, and EDC.
AMIA Joint Summits 2017: Building Research Data Mart from UCSF OMOP Database ...CTSI at UCSFThis document outlines a project to build a clinical data mart from an institutional OMOP database for a kidney transplant registry study. The project team extracted relevant data from an Epic EMR database, transformed it to OMOP common data model, and loaded it into a research data mart. They provided ongoing access to transplant patient data, learned about building customized data products, and identified reusable components. User involvement in testing validated the data quality for research use.
Epic EMR to OMOP CDM to Clinical Research Data Mart: an Unmaintained Road or ...Oksana GologorskayaPoster we presented at 2017 AMIA Joint Summits on Clinical and Translational Research Informatics.
In this research data delivery project, we explored a less traveled path of building a clinical data mart for a registry study on kidney transplant patients, based on the institutional instance of the EMR data, translated into the OMOP (Observational Medical Outcomes Partnership) common data model.
Robert E. Parson ResumebpstatRobert Parson has over 15 years of experience in leadership roles in the healthcare industry. He has a proven track record of guiding medical products from concept to commercialization and ensuring quality and regulatory compliance. Parson has expertise in areas such as strategic planning, regulatory affairs, clinical research, and pharmacoeconomics. He holds advanced degrees from the University of California San Diego, Rochester Institute of Technology, and Purdue University.
Cindy See Resume Sept 2016Cindy SeeThis document is a resume for Yon H. (Cindy) See. It summarizes her experience in supply chain management, procurement, and medical assisting roles over 20 years. She has extensive experience managing suppliers and developing procurement processes for healthcare companies. Currently, she works as a medical assistant at Duke Health, monitoring patients and assisting medical professionals. She also has project management and administrative experience from her time at IBM.
Madhavi kaushal resumemadhavi kaushal Resume for the post of Data Manager in Clinical Data Managements Department.
I am having more than 7 years of experience and looking forward for a job opportunity in the Delhi-NCR or for home based job.
Madhavi Kaushal
Mob. No:+91-8447133946.
Linda Mulkerin CV.2016.2Linda MulkerinThis document provides a summary of Linda J. Mulkerin's background and experience. She has over 20 years of experience in clinical research and project management. She holds a BS in Nursing and has worked in various roles such as clinical lead, principal scientist, clinical research associate, and clinical trial manager. Her experience includes managing global clinical trials from phase I to IV and working with regulatory authorities on drug applications. She has expertise in areas such as clinical research, project management, training, and regulatory compliance.
Becker, Lynne resume Mar 2016Lynne BeckerLynne E. Becker is seeking a senior level position in corporate project research. She has over 10 years of experience managing multi-site clinical research projects, including experience in protocol development, site selection and training, patient recruitment and retention, and ensuring regulatory compliance. She is skilled in data analysis, database management, and using technology like telemedicine to efficiently achieve project goals. Her background includes managing both domestic and international clinical trials with budgets in the millions of dollars.
1. EDWARD R. ASNER, BA, AS
9009 Marmora Avenue
Morton Grove, IL 60053
Home: 847-663-1031
Cell: 847-650-1147
edwardasner56@yahoo.com
OBJECTIVE Seeking a position that utilizes the skills gained through 18 years of experience as a
clinical research professional in the pharmaceutical and medical devices industries,
and 13 years of experience in clinical labs. Prior experience in Data Management,
Document Management, Cancer Cytogenetics, and Blood Bank. Effective
communicator and proven team leader with a strong background in oncology.
EDUCATION
1999 Governors State University, University Park, Illinois
Bachelor of Arts, Liberal Arts
1985 Indiana University, Gary Indiana
Associate of Science, Medical Technology
EXPERIENCE
6/16 – Present inVentiv Health, Inc., Home Based, IL
Senior Clinical Data Manager
Responsibilities include:
Leading and conducting all Data Management activities required for global
clinical trials.
Coordinating the resourcing and work of global staff assigned to the project.
Providing training on procedures and systems.
Creating project-related materials.
Tracking project progress and issuing status reports.
Ensuring the achievement of key milestones, such as completion of tasks
towards final database.
Attending and leading internal and external meetings.
Working in RAVE databases to clean data, and using J-Review to produce
metrics reports and ad hoc data reports.
9/13 – 6/16 OPKO Health, Inc., Bannockburn, IL
Clinical Data Manager – Consultant (10/15 – 6/16)
Clinical Data Manager (09/13 – 10/15)
Responsibilities included:
Participating in the development of Data Management documents such as
Data Management Plans, Data Validation Plans, and CRF Completion
Guidelines.
Screening and interviewing new Data Management candidates.
2. Edw ard Asner
Page 2 of 4
Training and mentoring new Data Managers and Data Coordinators.
Giving presentations and running training sessions on Data management
topics at corporate and interdepartmental meetings.
Participating in database validation testing and user acceptance testing.
Managing the freezing and unblinding of subjects in rollover studies.
Working with IT to grant EDC database access to internal and site users, and
maintaining records of user accounts.
Creating Trial Master Files for Data Management documentation, following the
DIA, “TMF-Reference-Model-3-0”, template.
Working in OmniComm and DSG eCaselink 8.0 databases.
Developing the training process and training form for users of the DSG
eCaselink database.
01/12 – 09/13 Cepheid, Rolling Meadows, IL
Clinical Data Specialist
Cepheid is a medical devices company specializing in molecular diagnostics.
Cepheid develops systems that facilitate rapid diagnosis of diseases through
automation of PCR techniques. Responsibilities included:
Creating Microsoft Access databases for Precision, Reproducibility, Beta, and
Clinical trials.
Generating reports necessary to confirm percent agreement results.
Writing User Acceptance Testing plans for Medrio EDC databases, and
performing the testing.
Writing Data management Plans for Precision, Reproducibility, Beta, and
Clinical trials.
Managing queries and data clarifications for paper and EDC clinical trials.
Generating final data listings used to prepare FDA submissions.
01/02 - 09/11 INC Research/Kendle International, Chicago, IL
Senior Clinical Data Associate (6/05 – 09/2011)
Clinical Data Associate II (4/04 - 6/05)
Clinical Data Associate I (10/03 - 4/04)
Clinical Data Associate (1/02 - 10/03)
Reviewed and processed clinical trial data to ensure the accuracy and consistency of
clinical databases. Promoted to Clinical Data Associate II in April 2004, and to Senior
Clinical Data Associate in June 2005. Responsibilities included:
Leading teams of CDAs.
Training and mentoring CDAs.
Developing and reviewing study processes, study documents, and tracking
procedures.
Participating in database validation testing and user acceptance testing.
Reviewing and generating ad hoc listings, reports, and quality control
documentation.
CRF review and update, query resolution, and SAE, Lab, IVRS, and Coding
reconciliation.
Working with various databases in both paper and EDC studies, including
Oracle Clinical, ClinPhone, DataTrack, and TrialBase.
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Kendle International was bought by INC Research in July 2011, and all Clinical Data
Associates in the Chicago office were laid off in September 2011.
3/00 - 1/02 Pharmacia, Skokie, IL
Medical Document Management Specialist
Reviewed and processed regulatory documents.
Approved initial study drug shipments to sites.
Worked with internal research managers, Regulatory Affairs, and Clinical
Research Organizations to facilitate activation of sites and patient enrollment.
Distributed essential document packages to investigators and worked with
their sites to retrieve correctly completed documents.
8/98 - 3/00 ICON Clinical Research, Inc., Buffalo Grove, IL
Quality Control Auditor (7/99 - 3/00)
Quality Control Assistant (8/98 - 7/99)
Reviewed CRFs and generated queries.
Wrote CRF and query processing procedures.
Audited in-house documentation including monitoring files and investigator
files.
Archived study and office documents off site.
LABORATORY
12/88 - 8/98 University of Chicago Hematology/Oncology Cytogenetics Laboratory, Chicago, IL
Clinical Technologist
Ten years experience in a cancer cytogenetics laboratory. Responsibilities included
cytogenetic analysis of metaphase cells, culturing and harvesting patient samples
and research cell lines, photomicroscopy, laboratory safety officer.
9/85 - 12/88 The Methodist Hospitals of Gary, Inc., Merrillville, IN
Medical Laboratory Technician, Blood Bank
Three years experience in a clinical blood bank. Responsibilities included ABO and
RH blood typing, crossmatching blood, antibody screens, identification of unexpected
antibodies, and phlebotomy.
PROFESSIONAL CERTIFICATION
Medical Laboratory Technician (ASCP)
THERAPEUTIC EXPERIENCE
Urinary/Endocrine Phase 3, Out Patient
Secondary Hyperparathyroidism in Subjects
with Stage 3 or 4 Chronic Kidney Disease and
Vitamin D Insufficiency
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Skeletal/Bone Phase 1, 2, & 3, Out Patient
Rheumatoid arthritis
Osteoarthritis
Psoriatic arthritis
Ankylosing spondylitis
Symptomatic gout
Cardiovascular Phase 2 & 3, Out Patient
Congestive Heart Failure – US
Hypertension – International
Anti-inflammatory Phase 2 & 3, Out Patient
Chronic low back pain
Post-gynecological surgery
Anterior Cruciate Ligament Reconstruction
Respiratory Phase 2, Out Patient
Asthma
Oncology Phase 1, 2, & 3, Outpatient
Colorectal Adenoma
Non-Small Cell Lung Cancer
Soft Tissue Sarcoma
Advanced Solid Tumors
Renal Cell Carcinoma
Advanced Breast or Prostate Carcinomas
with Metastases to Bone
BRAF mutation positive metastatic melanoma
Gastrointestinal and other tumors
Hematology Phase 2 & 3, Out Patient
Paroxysmal Nocturnal Hemoglobinuria
Idiopathic Thrombocytopenic Purpura
Musculoskeletal Phase 3, Out Patient
Duchenne Muscular Dystrophy
Central Nervous System Psychiatry Phase 3, Out Patient
Bipolar Disorder
Major Depression
Infectious Diseases Medical Devices, Pharma Phase 1b
Chlamydia trachomatis
Neisseria gonorrhea
Group B streptococcus
Flu
Human papillomavirus
Tuberculosis
MRSA
Norovirus
Staphylococcus aureus Bacteremia
Non-Healing Neuropathic Diabetic Foot Ulcers