AI & Data Science - Computer Vision

March 4

🦌 Connecticut – Remote

Although this job is listed in Connecticut, this company may be open to hiring remote in other states.

🗻 New Hampshire – Remote

Although this job is listed in New Hampshire, this company may be open to hiring remote in other states.

+3 more states

🦌 Connecticut – Remote 🗻 New Hampshire – Remote 🍂 Massachusetts – Remote ⚓ Rhode Island – Remote 🍁 Vermont – Remote

💵 $30 / hour

👨‍🎓 Internship

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Dana-Farber Cancer Institute

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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 two motivated and talented Artificial Intelligence and Data Engineering/Data Scientist 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. • This role is intended to be part-time (<20h/week) from May until June, then full-time (40 hours per week) from June 2024 until mid-to-late August, and continue part-time after August should the candidate be considered for Full Time Employment. • We are currently seeking to fill 2 internship positions in Computer Vision team. • These positions will be in New England area. (MA, NH, VT, ME, RI, CT) • Some flexibility in the overall timing is possible, but you should expect it to be as close to the stated format as possible. • Internship projects will be scoped according to mentorship expertise, present Informatics and Analytics needs, and the applicant’s unique skills and interests. • Candidates are expected to use their own equipment that needs to be utilized on high speed internet access, with camera, microphone and headset. Candidates will be given access to a virtual machine to execute CPU/GPU intensive tasks.

🎯 Requirements

• Currently enrolled in or completed a Master’s or PhD program in Computer Science, Data Science, AI, or a related field. • Strong programming proficiency in Python and familiarity with key ML/AI libraries (TensorFlow, PyTorch, NumPy, Pandas, etc.) and Hugging Face Transformers for model training, fine-tuning, and deployment. • Experience with deep learning models (CNNs, transformers, RNNs) and their applications in computer vision and medical imaging. • Familiarity with large language models (LLMs), multimodal LLMs, and experience integrating them into AI workflows. • Strong understanding of AI agent frameworks (e.g., LangChain, AutoGen, Semantic Kernel) and autonomous AI-driven decision-making. • Familiarity with federated learning, differential privacy, and large-scale distributed training. • Experience working with DICOM, CT scan data, and other complex medical imaging datasets. • Knowledge of SQL, cloud services (AWS, GCP, Azure), and version control (Git). • Strong problem-solving skills and ability to work independently in an interdisciplinary setting. • Excellent communication and collaboration skills, particularly in multidisciplinary teams with data scientists, clinicians, and researchers.

🏖️ Benefits

• $30 Per hour