Data Scientist

We are seeking a Data Scientist for a long term contract in Tucson, AZ.

This position is ideal for a Data Scientist who is passionate about doing meaningful work—applying their skills in AI, machine learning, and image analysis to advance cancer diagnostics and digital pathology. You’ll be working with a mission-driven, highly respected healthcare company that's at the forefront of innovation in cancer technology and patient care.
 
Description: Data Scientist, Digital Pathology Development
Onsite – Tucson


Key Responsibilities:

• Work closely with the Tucson-based assay and algorithm development teams to ensure seamless data integration and maintain data integrity across complex digital pathology projects.
• Design, develop, and implement robust solutions to automate manual steps within the algorithm development and data management workflows, enhancing efficiency and reproducibility.
• Perform sophisticated image processing, data analysis, and predictive modeling using large-scale digital pathology datasets.
• Build, test, and deploy computational tools and algorithms, primarily using Python or similar languages, adhering to high standards of code quality, efficiency, and maintainability.
• Leverage your skills in digital pathology, machine learning (ML), artificial intelligence (AI), and GUI development to create impactful solutions and improve algorithm performance.
• Meticulously maintain the traceability and integrity of all data, including images and associated metadata, ensuring compliance with relevant standards and supporting contractual obligations.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or a related quantitative field with 7+ years of relevant experience.
• Proven experience developing, testing, and deploying solutions using Python or similar programming languages within a software development lifecycle.
• Solid understanding and practical experience in image analysis, machine learning/deep learning techniques, and AI concepts.
• Demonstrated ability to perform complex data modeling, processing, and analysis on large or intricate datasets.
• Experience developing graphical user interface (GUI) for technical applications or data visualization.
• Excellent analytical and problem-solving skills with meticulous attention to detail.
• Strong verbal and written communication skills, enabling effective collaboration within cross-functional teams.

Preferred Qualifications:

• Experience working within the life sciences, biotechnology, or pharmaceutical industry, particularly with digital pathology or medical imaging data.
• Familiarity with regulatory requirements and compliance standards applicable to medical devices or software as a medical device (SaMD) (e.g., FDA guidance, IVDR).
• Proficiency with cloud computing platforms (e.g., AWS, Azure, GCP) and associated services.
• Experience utilizing High-Performance Computing (HPC) environments for computationally intensive tasks.
• Knowledge of bioinformatics or molecular modeling techniques.

You will receive the following benefits:

• Medical Insurance - Four medical plans to choose from for you and your family
• Dental & Orthodontia Benefits
• Vision Benefits
• Health Savings Account (HSA)
• Health and Dependent Care Flexible Spending Accounts
• Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
• Hospital Indemnity Insurance
• 401(k) including match with pre and post-tax options
• Paid Sick Time Leave
• Legal and Identity Protection Plans
• Pre-tax Commuter Benefit
• 529 College Saver Plan

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.