Pathology Research & Early Development - Algorithm Engineer / Data Scientist
Tailored Management | Tucson | www.resume-library.com |
Job Title: Algorithm Engineer / Data Scientist (Pathology Research & Early Development)
Location: Tucson, AZ (2-3 days onsite)
Duration: 19+ Months Contract
(Contract with possible extensions or full-time conversion, depending on business need and performance)
Job Description:
Works with a highly collaborative team of imaging scientists and software developers to solve image and data analysis problems in the field of Digital Pathology. Contributes to algorithm development activities for technology assessment, internal project collaborations, and commercial medical devices.
Implements technology in the fields of image processing, machine learning, pattern recognition, and data mining. Organizes and tracks own deliverables.
Roles and Responsibilities
Implements or modifies existing algorithms to analyze histopathology images and data.
Leads algorithm development/experiments to analyze histopathology images.
Implements software in prototyping and commercial product development environments.
Collaborates with other members of a project team to meet defined scientific and technical goals/requirements.
Interacts in a multidisciplinary environment with internal and external stakeholders (e.g., pathologists, biochemists, instrumentation engineers, software engineers, and marketing representatives).
Keeps up-to-date with technology advances and job training requirements in the medical device industry.
Identifies and documents Intellectual Property opportunities for technology and applications.
Presents results to project partners, collaboration partners within the Roche group, customers, and at scientific conferences.
Other duties as assigned by management.
QUALIFICATIONS:
Education:
Master's Degree in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field or Ph.D. Computer Science, Biomedical Engineering, Electrical Engineering, or a related field.
Experience
2 years experience in a related field with a Master's degree or 1 year experience in a related field with a PhD
Experience in the design and development of analysis algorithms for biomedical image data.
Hands-on experience with algorithm development for image or data analysis algorithms.
Extensive experience with commonly used Deep Learning models and frameworks (e.g., Pytorch, Fastai, TensorFlow).
Product development experience with a focus on data analysis.
Experience working with Digital Pathology tools or Software.
Experience working with medical devices.
Knowledge, Skills, and Abilities:
Excellent written and verbal communication skills.
Excellent skill sets in Matlab, C++, or Python.
Good understanding of scientific principles; good analytical and mathematical skills.
Working knowledge and theoretical understanding of image analysis, pattern recognition, machine learning, computer vision, and data mining methods.
Understanding and following of software engineering practices for prototyping and commercial product development languages.
Basic understanding of biomedical image data, preferably in digital pathology.
Location: Tucson, AZ (2-3 days onsite)
Duration: 19+ Months Contract
(Contract with possible extensions or full-time conversion, depending on business need and performance)
Job Description:
Works with a highly collaborative team of imaging scientists and software developers to solve image and data analysis problems in the field of Digital Pathology. Contributes to algorithm development activities for technology assessment, internal project collaborations, and commercial medical devices.
Implements technology in the fields of image processing, machine learning, pattern recognition, and data mining. Organizes and tracks own deliverables.
Roles and Responsibilities
Implements or modifies existing algorithms to analyze histopathology images and data.
Leads algorithm development/experiments to analyze histopathology images.
Implements software in prototyping and commercial product development environments.
Collaborates with other members of a project team to meet defined scientific and technical goals/requirements.
Interacts in a multidisciplinary environment with internal and external stakeholders (e.g., pathologists, biochemists, instrumentation engineers, software engineers, and marketing representatives).
Keeps up-to-date with technology advances and job training requirements in the medical device industry.
Identifies and documents Intellectual Property opportunities for technology and applications.
Presents results to project partners, collaboration partners within the Roche group, customers, and at scientific conferences.
Other duties as assigned by management.
QUALIFICATIONS:
Education:
Master's Degree in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field or Ph.D. Computer Science, Biomedical Engineering, Electrical Engineering, or a related field.
Experience
2 years experience in a related field with a Master's degree or 1 year experience in a related field with a PhD
Experience in the design and development of analysis algorithms for biomedical image data.
Hands-on experience with algorithm development for image or data analysis algorithms.
Extensive experience with commonly used Deep Learning models and frameworks (e.g., Pytorch, Fastai, TensorFlow).
Product development experience with a focus on data analysis.
Experience working with Digital Pathology tools or Software.
Experience working with medical devices.
Knowledge, Skills, and Abilities:
Excellent written and verbal communication skills.
Excellent skill sets in Matlab, C++, or Python.
Good understanding of scientific principles; good analytical and mathematical skills.
Working knowledge and theoretical understanding of image analysis, pattern recognition, machine learning, computer vision, and data mining methods.
Understanding and following of software engineering practices for prototyping and commercial product development languages.
Basic understanding of biomedical image data, preferably in digital pathology.
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