Overview
On Site
0/hr - 81.48/hr
Full Time
Skills
Health Care
Innovation
Assays
Data Integration
Data Integrity
Data Management
Workflow
Image Processing
Data Analysis
Predictive Modelling
Algorithms
Meta-data Management
Computer Science
Data Science
Statistics
Testing
Python
Programming Languages
Software Development
Image Analysis
Machine Learning (ML)
Deep Learning
Artificial Intelligence
Data Modeling
Graphical User Interface
Data Visualization
Analytical Skill
Problem Solving
Conflict Resolution
Attention To Detail
Communication
Collaboration
Life Sciences
Biotechnology
Pharmaceutical Industry
Pathology
Medical Imaging
Regulatory Compliance
Medical Devices
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
High Performance Computing
HPC
Bioinformatics
Modeling
Job Details
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:
Minimum Qualifications:
Preferred Qualifications:
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, Google Cloud Platform) and associated services.
- Experience utilizing High-Performance Computing (HPC) environments for computationally intensive tasks.
- Knowledge of bioinformatics or molecular modeling techniques.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.