Your mission
As a Clinical Data Scientist at CatalYm, you are responsible for planning, conducting and analyzing clinical trials to evaluate the efficacy and safety of our visumgrab cancer immunotherapy. You work closely together with x-functional teams, to ensure that our studies meet regulatory requirements and adhere to ethical standards. In addition, you interpret study data, prepare reports and communicate results to drive continuous improvement and development of our safe and efficacious immune therapy for solid tumors.
- Supports data management in the design of the EDC to ensure CRF designs adequately support data collection in alignment with protocol and to ensure complete and accurate data collection throughout the trial.
- Plays a key role in the review of clinical study data to ensure timely and high-quality data entry, including the review of case report forms, patient profiles, biostatistical outputs, graphical representations etc.
- Assists in coding, analysis, and proper and complete documentation of clinical data.
- Supports the Clinical Trial Lead and the Clinical Trial Manager to coordinate relevant and timely data analyses and presentations in collaboration with Data Management, Biostatistics, and Pharmacovigilance to prepare for Safety Review Committee meetings, Data Safety Monitoring Board meetings, regulatory documents and internal data reviews to ensure timely program decisions.
- Collaborates cross-functionally for the development of clinical trial protocols and informed consent forms and contributes to the review of other study-related documents (e.g., statistical analysis plan, CRF completion guidelines etc.) to support the operational execution of clinical studies.
- Develops site and CRA training materials and participates in the training of site and company staff.
- Authors/reviews clinical contribution to clinical study reports (CSRs) and clinical portions of Regulatory Documents (e.g. Pre-IND, IND, IB, Orphan Annual Reports).
- Contributes to the development of data review plans in collaboration with Data Management.