Intern - Data Scientist (Medical Imaging and Computer Vision)

### **Job Title:**

• *Intern \- Data Scientist (Medical Imaging and Computer Vision)**### **Location:**

On\-site Bengaluru### **About Us:**

At **nFerence Labs**, often referred to as the "Google of Biomedicine" (see https://nference.ai/news for our latest research), we are building a large\-scale pharmaco\-biomedical computing platform. Using cutting\-edge AI and Deep Learning on clinical text, medical images, and other biomedical signals, we aim to accelerate drug discovery and enhance early disease detection.

We work closely with leading medical institutions like the **Mayo Clinic** to extract insights from medical data—such as radiology images, patient notes, and lab results. Our team consists of top\-tier talent from institutions like **MIT, Harvard, IITs, IISc**, and more, combining expertise in computer science, biomedical research, and clinical medicine.### **About the Role:**

We are looking for a motivated **Data Science Intern** to join our **Medical Imaging and Computer Vision** team. This internship offers a unique opportunity to gain hands\-on experience developing AI models that solve real\-world healthcare challenges.### **Key Responsibilities:**

Assist in developing and evaluating deep learning models for medical imaging (e.g., classification, segmentation, object detection).

Support image preprocessing, annotation, and data handling workflows involving **DICOM** and clinical image formats.

Help design and test pipelines for tasks like **OCR**, entity detection, and de\-identification of sensitive medical data.

Collaborate with data scientists and medical experts to understand clinical requirements.

Participate in model validation, error analysis, and performance tuning.

Contribute to internal documentation, code organization, and reproducibility using tools like **Git** and **Docker**.### **Required Skills and Qualifications:**

Recent **Bachelor’s or Master’s graduate** in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field.

Strong interest in **computer vision** and **medical imaging**.

Familiarity with **Python** and at least one deep learning library (e.g., **PyTorch**, **TensorFlow**).

Basic knowledge of **OpenCV**, **image processing**, or model training workflows.

Good problem\-solving skills and willingness to learn.

Strong communication and team collaboration abilities.### **Preferred Skills (Good to Have):**

Academic or project exposure to **medical imaging** or **OCR systems**.

Basic understanding of **Docker**, **Git**, or cloud services (AWS/GCP).

Awareness of **HIPAA**, data privacy, or ethical AI practices.### **What We Offer:**

Work on impactful healthcare AI projects.

Mentorship from experienced professionals in AI, clinical research, and medical imaging.

A collaborative and fast\-paced learning environment.

Access to world\-class datasets and compute infrastructure.

Possibility of full\-time conversion based on performance and project needs.