About the role
About Us We are developing potentially best in class therapies for patients living with severe autoimmune diseases. Our lead antibody, claseprubart (DNTH103), is purposefully engineered with extended half-life, improved potency, and high selectivity for only the active C1s complement protein that drives disease pathology – enabling less frequent and more convenient self-administered subcutaneous injections. Our second clinical candidate, DNTH212 is a first and potentially best in class, bifunctional inhibitor that targets clinically validated and complementary disease modifying mechanisms, Type 1 IFN suppression and B cell modulation – enabling potential for improved clinical outcomes and patient friendly convenient, self-administered subcutaneous injections. To learn more, please visit www.dianthustx.com and follow us on LinkedIn .
About
the Role As a Senior Clinical Data Manager, you will play a critical role in supporting clinical development programs across the Dianthus portfolio, driving data quality and operational excellence throughout the clinical trial lifecycle. You will oversee all clinical data management activities and deliverables from study start-up through database lock and closeout across multiple clinical trials. Working independently with cross-functional teams and external partners, you will ensure the delivery of complete, accurate, high-quality, and regulatory-compliant data to support study reporting, publications, and regulatory submissions. This role requires a balance of strong operational execution and innovative thinking to advance data quality, integration, and analysis in support of clinical development goals. We are building a culture of individuals who hold our core principles at the center of our operations, with the goal to elevate the care of our patients’ lives. We are open to you working remotely. Key
Responsibilities Responsible for relationships with Data Management partners (eg, CROs and vendors) Oversight of outsourced study-related DM activities including CRF design, data collection, edit checks and listings reviews, data reconciliation (SAEs, labs, other external data), medical coding, UAT testing, database lock and archival of DM documents. Accountable for ensuring data quality and timeliness of DM deliverables are met and align with company goals Maintain data integrity in compliance with GCP, relevant SOPs and regulatory
