Member of Technical Staff - Medical Research (Remote)
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Key skills for this role
About the Role
We are hiring a Member of Technical Staff, Medical Research to design and implement computational methods for analyzing medical data, develop algorithms for diagnostic and therapeutic applications, and contribute to peer-reviewed publications.
Key Skills for This Role
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
Requirements
- 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
Full Job Posting
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.
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