{"id":3387500,"url":"https://alion.io/job/nference-intern-data-scientist-medical-imaging-and-computer-vision","title":"Intern - Data Scientist (Medical Imaging and Computer Vision)","company":{"id":34471,"name":"Nference","domain":"nference.com","url":"https://alion.io/company/nference","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":null,"max":50000,"currency":"INR","period":"month","gross":null,"usd_annual":6324},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"DICOM","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"OCR","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"AWS","optional":true},{"name":"GCP","optional":true},{"name":"HIPAA","optional":true}],"status":"closed","first_seen_at":"2026-10-28T06:00:20Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-29T05:56:56Z","board_verified":false,"closed_at":"2026-10-29T05:56:56Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Job Title:\nIntern - Data Scientist (Medical Imaging and Computer Vision)\nLocation:\nOn-site Bengaluru\nAbout Us:\nAt nFerence Labs, often referred to as the \"Google of Biomedicine\" (see 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.\nWe 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.\nAbout the Role:\nWe 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.\nKey Responsibilities:\nAssist in developing and evaluating deep learning models for medical imaging (e.g., classification, segmentation, object detection).\nSupport image preprocessing, annotation, and data handling workflows involving DICOM and clinical image formats.\nHelp design and test pipelines for tasks like OCR, entity detection, and de-identification of sensitive medical data.\nCollaborate with data scientists and medical experts to understand clinical requirements.\nParticipate in model validation, error analysis, and performance tuning.\nContribute to internal documentation, code organization, and reproducibility using tools like Git and Docker.\nRequired Skills and Qualifications:\nRecent Bachelor’s or Master’s graduate in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field.\nStrong interest in computer vision and medical imaging.\nFamiliarity with Python and at least one deep learning library (e.g., PyTorch, TensorFlow).\nBasic knowledge of OpenCV, image processing, or model training workflows.\nGood problem-solving skills and willingness to learn.\nStrong communication and team collaboration abilities.\nPreferred Skills (Good to Have):\nAcademic or project exposure to medical imaging or OCR systems.\nBasic understanding of Docker, Git, or cloud services (AWS/GCP).\nAwareness of HIPAA, data privacy, or ethical AI practices.\nWhat We Offer:\nWork on impactful healthcare AI projects.\nMentorship from experienced professionals in AI, clinical research, and medical imaging.\nA collaborative and fast-paced learning environment.\nAccess to world-class datasets and compute infrastructure.\nPossibility of full-time conversion based on performance and project 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