Orca Bio
Biotechnology
LeadClinicalDataManager
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Clinical Data Manager at Orca Bio. Skills: Clinical Data Management, EDC Systems, CDISC Standards, Data Cleaning. Manage clinical trial data. Oversee study start up”
What You'll Achieve.
Provide significantly better survival rates; Dramatically fewer risks; Restore patients' lives; Ensure optimized data collection; Ensure optimized data flow; Ensure optimized data access; Ensure accuracy of clinical databases; Ensure consistency of clinical databases; Ensure completeness of clinical databases; Ensure CDISC compliance of clinical databases
Industry & Context.
Preemptively identify data and system issues; Mitigate risks to data quality; Resolve data-related issues and discrepancies
What They're Looking For.
Must Have
BSc or MSc in Life Sciences, Data/Computer Science, Bioinformatics or equivalent industry experience, 5-7+ years of data management experience in the pharmaceutical or biotechnology industries, expertise in project/program management including stakeholder management, Knowledge of industry standards (CDISC, SDTM, CDASH), In-depth understanding of Data Management regulatory guidelines: ICH, GCDMP, 21CFR Part 11, Proven ability to preemptively identify data and system issues and mitigate risks to data quality, Knowledge and experience with development, validation, execution, maintenance, documentation, and archival of clinical data, Experience in development and implementation of Clinical data management standards and procedures, Experience with web-based EDC, clinical data management systems and medical coding dictionaries such as MedDRA and WHO Drug
Nice to Have
Prior experience with Zelta by Merative (formerly IBM) CDM platform
What You'll Do.
Manage clinical trial data
Oversee study start up
Optimize data collection
Ensure data completeness
Ensure CDISC compliance
Develop data management documentation
Design case report forms
Conduct data validation
Generate data listings
Review data summaries
Ensure regulatory compliance
Contribute to software tool development
Contribute to software tool validation
How You'll Work.
Team & Collaboration
Operate as a key member of the Clinical Operations team; Collaborate with study team members to resolve data-related issues
Process & Methodology
Project/program management, Stakeholder management
Full Job Description
## Description More than one million people in the United States today are fighting blood cancer. While a traditional allogeneic stem cell transplant has been the best hope for many, the transplant itself can prove fatal or lead to serious conditions, such as graft vs. host disease. Orca Bio is a late-stage biotechnology company redefining the transplant process by developing next-generation cell therapies with the goal of providing significantly better survival rates with dramatically fewer risks. With our purified, high-precision investigational cell therapies we hope to not only replace patients' blood and immune systems with healthy ones, but also restore their lives. Summary: The Lead Clinical Data Manager will be responsible for all aspects of clinical trial data management from study start up through database lock and study close. This includes the EDC build and user acceptance testing (UAT), study data cleaning and reconciliation, query issue and resolution, and database locks. They will ensure optimized data collection, flow and access across EDC and non-EDC data sources. They are also responsible for accuracy, consistency, completeness and CDISC compliance of all clinical databases. The role will operate as a key member of the Clinical Operations team. ## Responsibilities Develop and maintain all data management documentation, including case report forms, data management plans, edit check specifications, data review plans and data transfer agreements. Design case report forms (CRFs) for electronic data capture (EDC) systems for data collection. Perform data entry and cleaning activities, including discrepancy management and query resolution. Conduct data validation checks and implement quality control measures to ensure accuracy and completeness. Collaborate with study team members to resolve data-related issues and discrepancies. Generate and review data listings, summaries and reports for data review Serve as a primary or backup resource for issues about
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