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 – TucsonKey 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.
