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A Data Scientist is needed for an onsite contract role in Tucson, AZ. The role works closely with the Tucson-based assay and algorithm development teams to ensure seamless data integration and maintain data integrity across complex digital pathology projects.

Responsibilities:

• 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.