Algorithm Engineer / Data Scientist

Job#: 2026692

Job Description:


Algorithm Engineer / Data Scientist
Large, international medical diagnostics company is expanding their team!  We apply Machine Learning and Deep Learning to develop the most accurate diagnostics for our patients and pharmaceutical partners.  Apply your skills to save the lives of cancer patients along with our team of subject matter experts.
This will be a hybrid role based at our Tucson location.  Flexibility is offered with onsite time, but a few days per month per business needs will be required.
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
Preferred skills:
-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
• 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
• 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 group, customers, and at scientific conferences.
• Other duties as assigned by management.
BS or MS degree with a few years of experience is required.  PhD candidates with limited experience are also welcome to apply.















EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178.

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

Employee Type:

Oro Valley, AZ, US

Job Type:

Date Posted:
April 26, 2024