Member Of Technical Staff - Medical Research (Remote) (Torino)

Member Of Technical Staff - Medical Research (Remote) (Torino)

13 set
|
Hire Feed
|
Torino

13 set

Hire Feed

Torino

ullistrongRole /strong: Member of Technical Staff - Medical Research (Remote) /lilistrongLocation /strong: Remote (Work from Anywhere) /li /ulpbr / /ppstrongRole Overview: /strong /ppWe are hiring for one of our clients, seeking a Member of Technical Staff, Medical Research to work on a full-time basis. The role involves designing and implementing computational methods to analyze medical data, developing algorithms for diagnostic and therapeutic applications, and contributing to peer-reviewed research publications in high-impact journals. /ppbr / /ppstrongKey Responsibilities: /strong /pp - Design, develop, and validate machine learning models for medical imaging analysis and clinical decision support. /pp - Collaborate with cross-functional teams including clinicians, data scientists, and software engineers to translate research into scalable solutions. /pp - Publish findings in academic journals and present results at conferences to advance the state of medical research. /pp - Optimize algorithms for performance, accuracy, and computational efficiency on large-scale medical datasets. /pp - Contribute to the development of internal tools and frameworks that accelerate medical research workflows. /ppbr / /ppstrongRequired Skills Qualifications: /strong /pp - PhD or equivalent experience in Computer Science, Biomedical Engineering, or a related field with a focus on medical applications. /pp - Proven expertise in machine learning, deep learning,



and statistical modeling applied to medical data. /pp - Proficiency in programming languages such as Python, R, or Julia, with experience in medical data processing libraries (e.G., TensorFlow, PyTorch, scikit-learn). /pp - Experience with medical imaging data (e.G., MRI, CT, X-ray) and relevant toolkits (e.G., ITK, SimpleITK, MONAI). /pp - Strong publication record in peer-reviewed medical or AI research journals. /pp - Familiarity with healthcare data standards (e.G., DICOM, HL7) and regulatory compliance (e.G., HIPAA, GDPR). /pp - Ability to work in a fast-paced research environment with iterative development cycles. /ppbr / /ppstrongMore About the Opportunity: /strong /ppThis role offers a unique opportunity to work with a global leader in the Biotechnology Research industry, contributing to breakthroughs in medical diagnostics and treatment optimization. The position combines cutting-edge AI research with real-world clinical impact, enabling the translation of academic findings into scalable healthcare solutions. /ppbr / /ppstrongEqual Opportunity Employer: /strong /ppWe hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. /ppbr / /ppstrongApply Now! /strong /p

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