INNITIUS is an innovative medical device company focused on women's health. With a mission to improve women's health through advanced technology, INNITIUS is dedicated to developing solutions that enable more accurate diagnoses and personalized treatments. As a leader in women's health innovation, our multidisciplinary team collaborates closely with clinical and regulatory experts to bring cutting-edge medical tools to market.
We are looking for a Data and Algorithm Development Engineer to join our team and lead the creation, implementation, and validation of clinical risk assessment and prediction algorithms. This role will be crucial for developing and optimizing algorithms that enhance the performance of our medical devices.
Responsibilities: Design and develop risk assessment algorithms to identify and predict clinical conditions within women's health.Pre-process, process, and analyze data from clinical trials, including demographic, clinical, and device usability data.Oversee planning and budget for the Data Science department to ensure efficient resource use.Manage external partners working on algorithm development and validation.Cross-department collaboration with clinical, R&D, and hardware teams to define key variables in clinical trials, improve device performance, and conduct repeatability and correlation analyses.Integrate and validate algorithms in various applications (such as the TPTL app) in collaboration with the Software department to define requirements, risks, and mitigations.Prepare regulatory documentation and design processes with the quality and regulatory affairs teams to comply with the Artificial Intelligence Regulation and other relevant standards. Tasks: Finalize and optimize the TPTL (preterm labor risk calculation) algorithm for implementation in clinical devices and mobile applications, ensuring that the algorithm is robust, reliable, and suitable for real-world clinical environments.Collaborate with cross-functional teams to integrate the algorithm seamlessly into existing systems.Create and document comprehensive algorithm development plans that detail each step of the process, from initial research to final deployment.Participate actively in the dissemination of research findings by contributing to publishing results from related clinical studies in reputable journals and presenting at industry conferences.Conduct thorough consistency and repeatability analyses of data using the Cervisense device, aiming to refine clinical trial protocols and enhance measurement procedures.Implement advanced data analyses for ongoing clinical projects, such as the MATERNA project, with a focus on improving device usability and clinical outcomes.
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