Data Entry Coordinator
Newark Metro Area, NJ
We are seeking a candidate to manage data delivery to support translational scientists in the Hematology/Oncology and Inflammation & Immunology franchises. The successful candidate will interact with scientists to identify their data needs, with vendors to ensure faithful and complete delivery of data and metadata, and with members of the Data Sciences team to support data integration across multiple platforms. Excellent written and verbal communication skills are vital, as is demonstrable attention to detail.
Responsible for ensuring the accurate, complete and timely collection, delivery and tracking of biomarker data to and from translational research, CRO or collaborating laboratories for analysis, reporting and presentation
Responsible for biomarker data management activities for external laboratory data for Hematology/Oncology and Inflammation & Immunology franchises.
Responsible for receiving accurate data transfers and communicating with vendors about all discrepancies found
Work with research study teams to develop research information management plans that outline data capture, data flow, data queries, data quality checks, and data listings needed to ensure data integrity
Participate in comprehensive data review activities in coordination with project and study teams
Work with data scientists, computational scientists, biostatisticians, and study scientists to resolve any data issues found during analysis
Perform data review, generate data queries to vendors or CRO etc
Make data, including interim data, available to research department personnel
Demonstrated ability to programmatically integrate, verify and report data according to specifications
Work with data curators to ingest/load data to web-based platform for secure storage and shared access.
Create /maintain/update documents (SOP, share point, data ingestion, data transfer, software usage etc).
Hands-on experience performing molecular, biochemical, or cellular experiments, particularly in a research setting, is strongly preferred.
Proficiency with managing organization of electronic documents and data
Experience that represents strong attention to detail
Savvy with MS Office, particularly working proficiency in SharePoint and Excel, along with data visualization and other web-based tools
Superior proficiency with Windows-based computers, and strong technical acumen with the ability to track and organize large volumes of research data
Excellent written and verbal communication, ability to work independently and within a team, and exemplary critical thinking, analytical skills, and judgment
Proven ability to work in a team environment with bench scientists, clinical personnel, study monitors, computational biologists, biostatisticians, programmers, medical writers, and other individual of diverse experience
Knowledge of FDA/ICH guidelines and industry standard practices regarding data management are helpful but not required
Detailed knowledge and experience in case report form design, central laboratories, programming databases, query resolution, data validation
Additional computer skills: knowledge of SAS and/or R programming, detailed knowledge of at least one data management system, and familiarity with Amazon Web Services preferred.
Bachelor s Degree or Master Degree in life science (Preferred), computer science, or related discipline
2-3 years of experience in scientific data handling & analysis