Manager, Lab Data Management

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Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection of chemistry, engineering, computation, and biology to discover novel treatments for life‑threatening diseases. Eikon’s discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), culminating in the creation of microscopes that enable real‑time, molecular‑resolution measurements of protein movement in living cells, thereby unlocking otherwise intractable classes of proteins as drug targets.

The Manager, Lab Data Management will be responsible for timely and high‑quality management of local lab reference ranges supporting the Eikon portfolio, including the loading of Lab Normal Ranges (LNR) within the EDC system and the management of LNR issue tracking and health status of a particular lab, site or study.

This role will require a minimum of three days a week of onsite presence (or more as business needs require) in either our Jersey City, NJ office or our Millbrae, CA office to ensure effective management, operational excellence and high‑performance delivery of clinical studies and to support the expected significant team growth and collaboration.

You are a driven individual that focuses on detail, an expert in data management and a strong collaborator.

• Review and quality‑control (QC) the reference ranges provided by the site or, if applicable, other Eikon functional groups.
• Create a lab normal range import file and upload it into the EDC local lab module.
• Be responsible for LNR issue tracking and maintaining health status at lab, site, and study level for communication to Data Management leadership or other cross‑functional teams.
• Manage local lab range units within the EDC system, including the change control process.
• Collaborate with Data Management colleagues, other Eikon functions, and study site personnel to continuously improve the collection and loading of LNR data.
• Provide LNR training for Data Management and other Eikon functions as required.
• Be responsible for the creation and maintenance of any Data Management‑owned controlled documents and provide SME knowledge to any cross‑functional controlled documents related to LNRs.
• Act as the LNR SME for Health Authority inspections and audits.
• Serve as a primary point of contact for internal and external study team members regarding local lab reference ranges.
• Serve as a backup for medical coding activities.

• 6+ years of experience with a Bachelor's degree in a health‑related field (Chemistry, Nursing, etc.); or 4+ years of experience with a post‑graduate degree.
• Proven experience in clinical data management gained from working at recognized clinical data management suppliers/vendors, reputable CRO(s), and/or a Sponsor environment working on multi‑phase, multi‑therapeutic (Oncology experience preferred) and diverse clinical trials from study initiation to completion and associated regulatory submission and inspection preparation.
• 3+ years of experience focused on the collection and maintenance of local lab reference ranges within standard clinical data management systems.
• Expertise with lab analytes collected and tested in Oncology clinical trials is preferred.
• Able to work collaboratively on multidisciplinary project teams and develop productive relationships with external vendors.
• Sound knowledge of the Clinical Drug Development Process, FDA/ICH guidelines, and industry‑standard practices regarding data management and local lab ranges.
• Strong knowledge and experience of EDC systems (Veeva CDMS preferred) and demonstrated Microsoft Office skills; well versed in industry trends and emerging technologies supporting data collection.
• Experience using a local lab module within a standard EDC system is required.
• Strong project management, metrics analysis, and reporting methodologies experience.
• Excellent oral and written communication skills and the ability to communicate effectively with senior management and cross‑functional teams.
• Good knowledge of CDASH/CDISC (CDASH CRF Library implementation…