Intern- Computational Pathology and AI

Responsibilities

• Utilize statistics and computer science to solve complex problems in healthcare.
• Work with diagnostic analytics such as image analysis, signal processing, and pattern recognition.
• Engage with vast amounts of clinical and non-clinical data, including external data sources.
• Learn the data science lifecycle, including data acquisition, transformation, engineering, analysis, feature engineering, algorithm development, and deployment.
• Help formulate analytical questions, perform hypothesis testing, optimize algorithms, and integrate stakeholder feedback.
• Apply concepts from various industries to healthcare.
• Communicate effectively and collaborate with team members.

Qualifications

• Current enrollment or recent graduate of an undergraduate or graduate program in Computer Science, Information Technology, Data Science, Physics, Statistics/Biostatistics, or a related field.
• Strong quantitative analytical skills.
• Experience with data science approaches and tools.
• Proven written and oral communication skills.
• AI experience or familiarity with AI principles.
• Comfortable with at least one of the following: computer programming, machine learning, graph theory, algorithms, statistics, SQL, and linear algebra.
• Experience with major programming languages.
• Demonstrated initiative and innovation in coursework and projects.
• Experience with data science development tools and building algorithms on structured data.
• Experience with unstructured data such as natural language, images, genetics, or signal processing.
• Experience with C/C++, Java, or other systems programming languages and software engineering methodology.
• Exceptional web-stack data visualization (Angular/D3) experience.

Benefits

• Multiple medical plan options.
• Delta Dental or reimbursement account for dental coverage.
• Affordable vision plan with a national network.
• Pre-Tax Savings Accounts (HSA and FSA) for eligible expenses.
• A competitive retirement package.