{"id":"8638286278","title":"Senior Staff AI Scientist","posted_at":"2026-11-11T20:04:36.000Z","apply_url":"https://gehc.wd5.myworkdayjobs.com/en-US/GEHC_ExternalSite/job/IND19-01-Bengaluru-EPIP-122-Phase-II/Senior-Staff-AI-Scientist_R4048849-1","locations":["Bengaluru, India"],"employment_type":"full_time","workplace_type":null,"seniority_level":"senior","description_language":"en","source_name":"workday","source_url":"https://gehc.wd5.myworkdayjobs.com/en-US/GEHC_ExternalSite/job/IND19-01-Bengaluru-EPIP-122-Phase-II/Senior-Staff-AI-Scientist_R4048849-1","salary":null,"job_summary":null,"job_description":null,"description_text":"Summary**\n\nThe ideal candidate is a PhD-trained AI scientist with 5 - 8+ years of post-PhD experience driving cutting-edge medical imaging and Physical AI research from conception to real-world clinical deployment. This individual operates as a technical authority and research leader, shaping AI strategy across imaging, embodied and physics-aware AI, foundation models, and multimodal healthcare systems, while mentoring senior scientists and influencing product and clinical roadmaps.\nThey bring deep expertise in learning from real-world data and physical signals, including sensor fusion, spatiotemporal modeling, simulation-to-real transfer, and constraint-aware or physics-informed machine learning as applied to imaging hardware, acquisition pipelines, and clinical workflows. The role requires a strong ability to bridge algorithmic innovation with physical systems, such as scanners, devices, or procedural environments, ensuring robust performance under real-world variability and operational constraints.\nThe candidate possesses a rare combination of deep technical excellence, a strong publication and patent record, and proven experience translating AI research into regulated, commercially deployed healthcare solutions. They have demonstrated success in taking models from research to production, accounting for physical robustness, safety, reliability, and regulatory requirements, and in collaborating closely with clinicians, engineers, and product teams to deliver clinically impactful AI systems.\nThey possess a rare combination of deep technical excellence, strong publication and patent record, and proven experience translating AI research into regulated, commercially deployed healthcare solutions.\n\nGE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.\n\n**Job Description**\n\n**Roles & Responsibilities:**\n\n**Research & Technical Leadership:**\n\n- Define and own the long-term research vision for **medical image analysis, Physical AI - enabled imaging systems, foundation models, and multimodal healthcare AI** across clinical domains.\n- Architect and lead the development of state-of-the-art **detection, segmentation, classification, reconstruction, and quantitative imaging systems**, incorporating **physics-aware modeling, spatiotemporal reasoning, and sensor-informed learning**, deployed in real clinical workflows.\n- Drive innovation across:\n  - Vision and multimodal transformers\n  - Large-scale foundation models\n  - Self-supervised, weakly supervised, and semi-supervised learning\n  - Physics-informed ML, constraint-aware learning, simulation-to-real transfer, and embodied perception paradigms relevant to medical imaging and procedural environments.\n- Establish technical standards for **experimental rigor, physical robustness, uncertainty quantification, clinical validation, fairness, and generalization** across imaging devices, sites, and populations.\n\n**Clinical Translation & Real-World Impact:**\n\n- Partner deeply with clinicians, radiologists, pathologists, imaging scientists, and regulatory stakeholders to formulate **AI problem statements grounded in clinical workflows and physical realities of imaging systems**.\n- Lead dataset and system design strategies including:\n  - Multi-site and multi-device data curation\n  - Annotation frameworks aligned with clinical and procedural context\n  - Bias mitigation, domain shift analysis, and hardware- and protocol-aware generalization assessment.\n- Guide AI solutions through clinical validation, regulatory pathways, and real-world deployment, ensuring **safety, robustness to physical variability, and compliance with regulated healthcare environments**.\n\n**Organizational & Cross-Functional Leadership:**\n\n- Act as a **technical mentor and design reviewer** for senior scientists, postdocs, and junior researchers across AI, imaging, and Physical AI domains.\n- Influence product direction, portfolio prioritization, and platform strategy in collaboration with **engineering, imaging hardware teams, MLOps, product, and clinical partners**.\n- Serve as a go-to expert for **medical imaging AI and Physical AI systems**, advising on architecture decisions, risk trade-offs, and long-term strategy.\n- Represent the organization externally through **publications, patents, invited talks, and collaborations** with academia, healthcare systems, and industry partners.\n\n**Research Excellence & Thought Leadership:**\n\n- Consistently publish in top-tier venues (e.g., MICCAI, CVPR, NeurIPS, TMI, MedIA, Radiology AI, Nature family journals), including work that bridges **learning-based AI with physical modeling and real-world systems**.\n- Drive IP creation through high-value patents covering **algorithmic innovation, system-level design, and physics-aware or multimodal AI methods**.\n- Stay ahead of emerging trends in **Physical AI, foundation models, multimodal and embodied AI, federated learning, regulatory science, and AI safety in healthcare**.\n\n**Technical Expertise (Senior-Level Expectations):**\n\n- Deep mastery of deep learning frameworks (PyTorch preferred) and large-scale **training, fine-tuning, optimization, and deployment**.\n- Advanced expertise in medical image analysis across **2D/3D/4D imaging and multimodal MRI/CT/PET/X-ray/Ultrasound**, using MONAI, SimpleITK, OpenCV, and related tools.\n- Proven experience with:\n  - Vision and multimodal foundation models\n  - Self-, weakly-, and semi-supervised learning at scale\n  - Domain adaptation and generalization across institutions and devices\n  - **Physics-informed ML, simulation-based learning, spatiotemporal modeling, sensor fusion, and uncertainty-aware inference**\n- Strong understanding of **MLOps, experiment tracking, reproducibility, scalable research platforms**, and model lifecycle management.\n- Solid grasp of **data governance, model risk management, privacy-preserving ML, regulatory expectations (FDA, CE, SaMD), and real-world safety considerations** for AI operating on physical systems.\n\n**Educational Qualifications:**\n\n- PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Applied Physics, Robotics, or a closely related field.\n- 5 - 8+ years of post-PhD experience in **medical imaging AI, healthcare AI, Physical AI, or applied AI research**.\n\n**Required Skills:**\n\n- Has led **large, system-level research initiatives** rather than isolated models, often spanning algorithms, data, and physical constraints.\n- Strong publication and/or patent track record in top AI, imaging, or systems-oriented venues.\n- Demonstrated history of **end-to-end ownership**: research ideation → system design → validation → regulated, real-world deployment.\n- Experience operating in matrixed, cross-functional, and clinically driven environments involving **both software and physical systems**.\n- Comfortable making architecture and strategy decisions **under ambiguity and real-world constraints**.\n- Balances scientific rigor with pragmatism, optimizing for **clinical impact, robustness, and deploy ability**.\n- Recognized as a **trusted technical advisor** by engineering, clinical, imaging, and product leadership.\n\n**Inclusion and Diversity:**\n\nGE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.\n\nWe expect all employees to live and breathe our behaviours: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership - always with unyielding integrity.\n\nOur **total rewards** are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you'd expect from an organization with global strength and scale, and you'll be surrounded by career opportunities in a culture that fosters care, collaboration, and support.\n\n**#Everyroleisvital**\n\n**#LI-SM1**\n\n**Additional Information**\n\n**Relocation Assistance Provided:**Yes","visa_sponsorship":null,"experience_years_min":5,"job_address":null,"job_city":null,"job_state":null,"job_country":"IN","location_lat":12.9767936,"location_lng":77.590082,"closed_at":null,"closes_at":null,"apply_with_ai_eligible":true,"keywords":["lifecycle management","foundation models","product direction","cross-functional","machine learning","collaboration","deep learning","stakeholders","quantitative","architecture","Transformers","large-scale","performance","fine-tuning","engineering","end-to-end","production","algorithms","multimodal","compliance","regulatory","trade-offs","externally","mentoring","pipelines","radiology","standards","workflows","regulated","strategy","scalable","hardware","Platform","modeling","roadmaps","research","leading","dataset","PyTorch","privacy","design","Mentor","vision","global","trends","deploy","patent","teams","MLOps","data","art","ML","AI","3D","IP"],"company":{"name":"GE HealthCare","slug":"ge-healthcare","logo_url":"https://img.logo.dev/gehealthcare.com?token=pk_X1kMlqZGQKyGs3nVekpDWQ&size=64&format=png&fallback=404","description":"GE HealthCare is a leading global medical technology and digital solutions innovator that provides medical products, services, and commercial solutions to advance healthcare.","website_url":"https://www.gehealthcare.com/","linkedin_url":"https://www.linkedin.com/company/gehealthcare","glassdoor_url":"https://www.glassdoor.com/Overview/Working-at-GE-HealthCare-EI_IE4112.11,24.htm","x_url":"https://twitter.com/GEHealthCare","instagram_url":"https://www.instagram.com/gehealthcare/","youtube_url":"https://www.youtube.com/@gehealthcare","github_url":"https://github.com/GEHealthcare","huggingface_url":"https://huggingface.co/gehealthcare","tiktok_url":null,"crunchbase_url":"https://www.crunchbase.com/organization/ge-healthcare","facebook_url":"https://www.facebook.com/GEHealthCare/","employee_count_range":"10000+","employee_count":54000,"founded_year":1892,"headquarters":{"address":"500 West Monroe Street, Chicago, IL 60661, United States","city":"Chicago, IL","country":"US","lat":41.880881,"lng":-87.640443},"industry":"healthtech","company_type":"other","total_funding_usd":null,"locations":["ARE02-01-Dubai-Al Sufouh 2","ARE02-01-Dubai-Al Sufouh 2, United Arab Emirates","ARG06-01-Buenos Aires-Andres Arguibel 2860","ARG06-01-Buenos Aires-Andres Arguibel 2860, Argentina","AUS08-01-Sydney-241 O'Riordan Street","AUS09-01-Perth-Unit 31, 118 Royal St","AUS10-01-Melbourne-290 Burwood Rd","AUS11-01-Brisbane-520 Wickham St","AUS11-01-Brisbane-520 Wickham St, Australia","Adelaide","Ahmedabad","Algiers","Almaty","Amersham","Amersham, United Kingdom","Aomori","Arlington Heights","Auckland","Aurora","Baltimore","Bangkok, Thailand","Barueri","Barueri, Brazil","BeiJing","BeiJing, China","Bellevue, WA","Bengaluru, India","Bogota","Brisbane, Australia","Buc","Buc, France","CA07-01-Sacramento-1804 Tribute Rd","CA15-01-San Ramon-Wework","CA19-01-San Francisco 44 Montgomery","CHL02-01-Santiago-Los Militares, 4611","CHN42-01-Xi'an-No. 11 Jinye Road","CHN42-01-Xi'an-No. 11 Jinye Road, China","CHN47-01-Chengdu-No. 618 Fenghuang Road","CHN49-01-Chengdu-China-Europe Cooperation, Middle Section of Tianfu Avenue","COL01-01-Bogota-Av Cra. 72 No 80-94","COL01-01-Bogota-Av Cra. 72 No 80-94, Colombia","Cairo","Cape Town, South Africa","Carnaxide","Chalfont St Giles","Chalfont St Giles, United Kingdom","Chandigarh","ChangChun, China","Changsha","Changsha, China","ChengDu","Chennai, India","Chiba, Japan","Chicago","Chongqing","Chongqing, China","Cincinnati (Wil) OH US","Cincinnati, OH","Ciudad Juarez","Ciudad Juarez, Mexico","Cork","Cork, Ireland","Cornella de Llobregat","DC, Richmond","DC02-01-Washington DC-1100 New York Ave NW","DEU14-01-Düsseldorf-Peter-Müller-Str. 24-26","Daejeon","Dammam","Danderyd","Danderyd, Sweden","Denver","Detroit","Dhaka","Dhaka, Bangladesh","Diegem","Dubai","EGY07-01-Cairo-Summit 44, Tesseen","ESP10-01-Bilbao-Avenida Madariaga 1","ESP11-01-Sevilla-Av. de Diego Martinez Barrio, 10","Eindhoven","Eindhoven, Netherlands","El Paso","FIN03-01-Helsinki-Kuortaneenkatu 2","FIN03-01-Helsinki-Kuortaneenkatu 2, Finland","FRA18-02-Valbonne-25 All Pierre Ziller","FRA32-01-Villeneuve-Loubet-287 Av Bel Air","FRA41-01-Méroux-1 Av de la Gare TGV","Florence SC USA","Florence, SC","Freiburg, Germany","Fukuoka","Fukuoka, Japan","Fuzhou","Fuzhou, China","GBR11-01-London-245 Hammersmith Rd","GRC01-01-Athens-Sorou Street No. 8-10","GRC01-01-Athens-Sorou Street No. 8-10, Greece","Glattbrugg","Glen Allen","Guangzhou","Guangzhou, China","GuiYang","GuiYang, China","Guwahati","Gwangju","HUN02-01-Budapest-Vaci Greens C","HUN02-01-Budapest-Vaci Greens C, Hungary","HUN04-01-Paty-Csonka Janos 1-3","HUN04-01-Paty-Csonka Janos 1-3, Hungary","Haifa","Haifa HEALTHCARE HA IL 2","Haifa HEALTHCARE HA IL 2, Israel","Haifa, Israel","Hamamatsu","Hangzhou","Hangzhou, China","Hatfield","Hawthorn HEALTHCARE VIC AU 1","Hefei","Hefei, China","HeiLongJiang","Helsinki, Finland","Herlev","Herlev, Denmark","Hino","Hino, Japan","Hiroshima","Hoevelaken","Hoevelaken, Netherlands","Horten","Horten, Norway","Huntsville","Hyderabad, India","IDN05-01-Jakarta- Jl.R. A Kartini Kav. 8","IDN05-01-Jakarta- Jl.R. A Kartini Kav. 8, Indonesia","IL03-01-Chicago-500 W Monroe St","IND19-01-Bengaluru-EPIP 122","IND19-01-Bengaluru-EPIP 122, India","IND20-01-Lucknow-Vibhuti Khand, India","IND22-01-Mumbai-1204 A The Capital","IND28-01-Chandigarh-Plot No 10","IND31-01-Gurgaon-5A, DLF Cyber City","IND36-01-Bengaluru-Kalyani Platina, Magnolia","IRL02-01-Dublin-86-88 Lower Leeson Street","ITA01-01-Milan-Via Privata Galeno, 36","Indianapolis IN US 1","Istanbul, Turkey","JPN55-01-Tokyo-WeWork Shinagawa PDx","JPN56-01-Tokyo-WeWork Shinagawa Imaging","JPN56-01-Tokyo-WeWork Shinagawa Imaging, Japan","Jacksonville","Jaipur","JiangSu","Jinan","Jinan, China","Johannesburg","Johannesburg, South Africa","Kanazawa","Kansas City, Louisville","Kobe","Kochi IND, India","Kolkata","Kolkata, India","Krakow, Poland","Kuala Lumpur, Malaysia","Kunming","Kunming, China","Kyoto","La Penne-sur-Huveaune","Lanzhou","Leiderdorp","Limonest","Limonest, France","Lindesnes","Lindesnes, Norway","London, United Kingdom","Lucknow, India","MEX03-01-Mexico City-SAMARA","MEX03-01-Mexico City-SAMARA, Mexico","MYS03-01-Kuala Lumpur-Plaza Sentra","Madison, WI","Madrid","Madrid, Spain","Mascot, Australia","Matsuyama","Matsuzaka","Merignac","Merignac, France","Mexico City, Mexico","Miami, FL","Mississauga","Mississauga, Canada","Monterrey, Mexico","Montreal, Canada","Moscow","Munich","Munich, Germany","Munster, Germany","NGA05-01-Lagos-Bishop Aboyade Cole Street","NY06-01-Niskayuna-GRC","Nagoya, Japan","NanNing","NanNing, China","Nanchang, China","Nanjing","Nanjing, China","Nei Mongol","Nei Mongol, China","Niigata, Japan","Niskayuna","Noblesville","Novosibirsk","OH05-01-Beachwood-Science Park Drive","Oak Creek","Ordes","Orlando","Oslo, Norway","PER01-01-Lima-Av. Jorge Basadre Grohmann 607","PHL02-01-Taguig-Menaco Tower","PRT03-01-Porto-Fabrica 3 As","Patna","Phoenix","Pittsburgh","Pune, India","QingHai","Qingdao","Qingdao, China","Quickborn","ROU01-01-Bucharest-Str. Barbu Vacarescu 301-311","ROU01-01-Bucharest-Str. Barbu Vacarescu 301-311, Romania","RUS06-01-Moscow-Naberezhnaya Tower","RUS06-01-Moscow-Naberezhnaya Tower, Russia","Raipur","Rehovot","Rehovot, Israel","Riyadh, Saudi Arabia","SGP04-01-Singapore-Metropolis","SGP04-01-Singapore-Metropolis, Singapore","SVK02-01-Bratislava-Prievozska 4A","Sainghin-en-Melantois","Saitama","Salt Lake City, UT","San Francisco, CA","Sapporo","Seattle, WA","Seongnam","Seongnam, South Korea","Seoul","Seoul, South Korea","ShanXi","Shanghai","Shanghai, China","ShenZhen, China","Shenyang","Shenyang, China","ShiJiaZhuang","ShiJiaZhuang, China","Shizuoka","St Petersburg","State College","Suita","Syracuse","São Paulo, Brazil","TUR02-01-Ankara-Mustafa Kemal Mahallesi","TaiYuan","TaiYuan, China","Taipei, Taiwan","Takamatsu","Tampa","Thessaloniki","Tianjin","Tianjin, China","Tokyo, Japan","Toulouse, France","Tremblay-en-France","Troy NY USA","Troy, NY","Tunisia","Uppsala","Uppsala, Sweden","Urumqi","VNM06-01-Ho Chi Minh- Crescent Plaza","VNM07-01-Ha Noi-Unit V1505-1506, Pacific Place","Valbonne","Wa07-01-Bellevue-1100-112th Avenue, NE","Warrensville Heights","Warsaw","Washington, DC","Waukesha","West Milwaukee","WuXi","WuXi, China","Wuhan","Wuhan, China","Xi'an","Xiamen","Yokohama","Zhengzhou","Zhengzhou, China","Zipf","Zipf, Austria","Zwolle"]},"visa_sponsorship_source":null,"h1b_filings":null,"can_apply":true,"application":null}