Data and Algorithm Development Engineer 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.
You will collaborate with various departments (Data Science Clinical R D and Software) and manage the regulatory documentation required to ensure compliance 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 TPTLapp) 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.
This involves working closely with clinical staff to identify any sources of variability and address them effectively.
Requirements - Education Bachelor s degree in Data Engineering Biomedical Engineering Computer Science Statistics or a related field.
- Professional Experience At least 3 years of experience in algorithm design and development preferably in the medical device or digital health sector.
- Technical Knowledge Proficiency with data analysis tools (Python R SQL) Experience in machine learning and predictive algorithm development Experience in processing clinical data and preparing regulatory documentation.
- Skills Strong teamwork and collaboration abilities across departments solid analytical skills and project management experience.
- Languages Fluent English Benefits - A dynamic work environment with the opportunity to make a difference in womens health.
- Access to cutting-edge technology and participation in innovative projects.
- Professional growth opportunities within a collaborative multidisciplinary team.
- Competitive salary and additional benefits based on performance and achievement of goals.
Python, R, SQL