AI & Data Science Internship, MLOps

March 4

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Logo of Dana-Farber Cancer Institute

Dana-Farber Cancer Institute

Dana-Farber Cancer Institute is a leading cancer treatment and research center, dedicated to providing expert cancer care and pioneering treatments for both adult and pediatric patients. Established in 1947, its mission is solely focused on defeating cancer through groundbreaking research and compassionate, patient-centered care. It offers a comprehensive range of services including clinical trials, early detection and treatment centers, and a variety of support services for patients and their families. Dana-Farber also engages in international collaborations, providing resources and support to patients from around the world, and is recognized for its significant contributions to cancer research and innovation. It is highly regarded as the top-ranked cancer center in New England, driven by a commitment to improving patient outcomes through cutting-edge discoveries and innovations in cancer treatment.

Cancer research • Adult cancer treatment • AIDS research • Pediatric cancer treatment • Innovation

1001 - 5000 employees

Founded 1947

⚕️ Healthcare Insurance

💊 Pharmaceuticals

🔬 Science

💰 $300k Grant on 2022-09

📋 Description

• The Department of Informatics and Analytics at Dana-Farber Cancer Institute seeks a motivated and talented Artificial Intelligence and Data Engineering Intern for our expanding AI & data team. • Successful candidates will have the opportunity to contribute on high-impact healthcare projects existing at the cutting edge of cancer research and clinical care. • Project Objective: AI Studio serves as Dana Farber’s centralized platform for AI model development and deployment, primarily utilizing Databricks. • As the platform's user base grows, the AI Studio team requires effective methods to track expenses and monitor account usage. • Most activities are conducted on Databricks, which automatically logs data. • By leveraging Databricks' dashboarding capabilities, we can create visualizations to monitor cost and usage effectively. • Requirements include team usage/cost tracking, project usage/cost tracking, dashboard automation, and a stretch goal for model forecasting. • Interns should demonstrate strong data handling and development programming skills.

🎯 Requirements

• Demonstrated programming experience with Python, and most commonly used libraries for data science / machine learning / AI. • Must have completed or currently enrolled in Masters or PhD program. • Excellent problem-solving skills and a record of successfully taking on new challenges. • Ability to work independently and communicate effectively within an interdisciplinary environment that includes data scientists, clinicians, researchers, engineers, scientists, and business leaders. • Experience with one or more of the following is preferred: SQL, large and complex datasets, CNNs, transformers, RNNs, linear programming, cloud services, source version control, command line. • Familiarity with one or more core methodologies and techniques, such as generative AI, hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, natural language processing, feature selection/engineering, recommendation systems. • Experience with healthcare data is a big plus.

🏖️ Benefits

• 40 hours per week • $30 Per hour

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