{"id":3058900,"url":"https://alion.io/job/philips-ai-imaging-data-scientist-intern","title":"AI Imaging Data Scientist Intern","company":{"id":13838,"name":"Philips","domain":"philips.com","url":"https://alion.io/company/philips-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":64,"ghost_share":0,"stale_share":0.891,"repost_share":0,"time_to_fill_p50_days":13,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-08-18T00:00:00Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-11-03T17:35:57Z","board_verified":true,"closed_at":null,"days_open":77,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":77},"description":"Job Title\nAI Imaging Data Scientist InternJob Description\nJob title:\nWe need to hire one AI imaging data scientist to support data collection, data cleaning, AI algorithm training and analysis. \nYour role:\nPerforms as specialized Imaging Data Scientist. Acts autonomous within established procedures and practices.\n\nDevelop solution to the specific problem, by new algorithms and/or significantly modify the existing, as needed.\n\nSupport imaging data collection, data cleaning and data annotation.\n\nSupport implementation the best tooling, algorithms, frameworks, languages, and technologies to maximize results, automate and scale as needed.\n\nEnsure high imaging data integrity and data quality for model training, validation and deployment. Find and choose the optimal data sources and data features (variables).\n\nParticipates in full AI model development processes, working with broader autonomy and in collaboration mode with other team members. Work cross-functionally, effectively.\n\nDiscover ways to leverage the data to achieve business goals.\n\nYou're the right fit if:\nMaster/PhD in Computer Science or Biomedical Engineering is preferred.\n\nHow we work together\nWe believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.\nOnsite roles require full-time presence in the company’s facilities.\nField roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.\nIndicate if this role is an office/field/onsite role.\nAbout Philips\nWe are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.\nLearn more about our business.\nDiscover our rich and exciting history.\nLearn more about our purpose. If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. 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