Member of Technical Staff - Medical Research (Remote)

Hire Feed; Italia; Remote; EUR 70,000 - 100,000; Full time

Job summary

Hire Feed seeks a Member of Technical Staff, Medical Research, to design and implement computational methods for medical data analysis. This fully remote, full-time role focuses on medical imaging, diagnostics, and translational AI with gradual publication of findings in top journals.

The successful candidate will collaborate with clinicians and engineers, publishing research and delivering scalable AI solutions for real-world healthcare impact. A PhD or equivalent is required.

Qualifications

• PhD or equivalent in CS/Biomedical Eng with medical focus.
• Strong ML/DL expertise applied to medical data.
• Proficiency in Python, R, or Julia and medical libraries.

Responsibilities

• Design, develop, and validate ML models for medical imaging.
• Collaborate with clinicians, data scientists, and engineers to scale research.
• Publish findings in peer-reviewed journals and present at conferences.
• Optimize algorithms for performance on large medical datasets.
• Contribute to internal tools and research workflows.

Skills

Machine learning

Deep learning

Statistical modeling

Python

R

Julia

Medical imaging

HIPAA GDPR knowledge

Education

PhD (or equivalent) in CS/Biomedical Eng/related field

Tools

TensorFlow

PyTorch

scikit-learn

ITK

SimpleITK

MONAI

Job description

• Role: Member of Technical Staff - Medical Research (Remote)
• Location: Remote (Work from Anywhere)

Role Overview:

We 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.

Key Responsibilities:

• Design, develop, and validate machine learning models for medical imaging analysis and clinical decision support.
• Collaborate with cross-functional teams including clinicians, data scientists, and software engineers to translate research into scalable solutions.
• Publish findings in academic journals and present results at conferences to advance the state of medical research.
• Optimize algorithms for performance, accuracy, and computational efficiency on large-scale medical datasets.
• Contribute to the development of internal tools and frameworks that accelerate medical research workflows.

Required Skills & Qualifications:

• PhD or equivalent experience in Computer Science, Biomedical Engineering, or a related field with a focus on medical applications.
• Proven expertise in machine learning, deep learning, and statistical modeling applied to medical data.
• Proficiency in programming languages such as Python, R, or Julia, with experience in medical data processing libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with medical imaging data (e.g., MRI, CT, X-ray) and relevant toolkits (e.g., ITK, SimpleITK, MONAI).
• Strong publication record in peer-reviewed medical or AI research journals.
• Familiarity with healthcare data standards (e.g., DICOM, HL7) and regulatory compliance (e.g., HIPAA, GDPR).
• Ability to work in a fast-paced research environment with iterative development cycles.

More About the Opportunity:

This 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.

Equal Opportunity Employer:

We 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.