Overview The role defines and facilitates the participant data journey, identifying participant data sources, transport methods, ingestion to the ecosystem and mitigating potential challenges to ensure understanding, consistency and integrity of the participant data. The role will collaborate with technical and clinical teams to define participant data requirements and challenges to provide short- and long-term solutions and be a subject matter expert within data management and statistics to facilitate effective data use and risk mitigation. Responsibilities A key part of the study team providing technical and procedural guidance on data ingestion and chain of clinical data custody; will be front facing with CRO’s, vendors and internal teams. Identify participant data sources and document; creation of study data flow maps to show the clinical data journey. Input to technical data specifications for data ingestion and use. Primary point for nonstandard data ingestion and defining the data demand with enablement teams – internal and external facing. Define and conduct data ingestion reconciliation against data transfer specifications. Perform Risk Assessment for study-level participant data content and provide guidance on risk mitigation. Assess that the right data is being collected and educating the study teams. Support digital health technologies and eSource data use providing set up and technical support to the wider teams and maintaining data integrity, input to long term solution planning. Assess and define new and existing strategic vendors to support data ingestion and data quality; be part of the assessment team to understand vendor capabilities and limitations. Work closely with data enablement teams on data ingestion, harmonization, transformation, validation, and automation for the Clinical Data platform. Be a key contributor to internal business and process improvement by ensuring compliance to latest technology and regulatory guidance. Involvement in initiative implementation including digital protocol, automation, tokenisation, data optimisation, workflow definition. Ensure that the data governance framework is followed for participant data. Qualifications Strong knowledge of modern data management platforms and technologies, including Big Data, Lakehouse, and modern data ingestion and integration. Must have experience with clinical data sets, EDC and non-crf data, and have strong analytical skills with the ability to work with a variety of large and complex datasets including (but not limited to) basic research datasets and clinical data. Minimum of 4 years within clinical data management and data acquisition, preferably in the BioPharma industry. Ideal candidate will have 7+ years of experience. Education: Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. #J-18808-Ljbffr Pharmaceutical Research Associates, Inc
...of your house, I'm available starting at 11 p.m. I can also come in the morning. Don't call me; I don't usually answer numbers I don't have registered. I can respond to a text message faster.Please visit to view full details and to apply. Lots of jobs to choose from!
...Medical Receptionist University Radiology, the largest provider of subspecialty radiology and teleradiology services in NJ, is comprised... ...subspecialty interpretations and consultative support for hospitals, imaging centers and other medical facilities, and serves as...
Careers Water Project Manager - Amarillo Amarillo, Texas Garver is seeking a Water/Wastewater Project Manager in Amarillo, TX or Lubbock, TX to join our established Texas Water team working on municipal water and wastewater infrastructure and treatment facility...
...Description Job Description Solvet is searching for up to three Pharmacy Technicians to provide medication support services a federal... ...equivalent Minimum 1 year of relevant experience (pharmacy tech, medical assistant, EMT, LVN, etc.) CPR certification (AHA or...
...adheres to those standards Influence and develop a thorough understanding of standards and... ...Seasoned data engineer who has hands-on experience in AWS to conduct end-to-end data analysis and data pipeline build-out using Python, Glue, S3, Airflow, DBT, Redshift, RDS,...