United States onlyAbout Artisight, Inc.
Artisight, Inc., is a smart hospital platform powered by industry-defining artificial intelligence to provide virtual care, quality improvement, and care coordination. Anchored in deep clinical knowledge and industry-defining artificial intelligence, Artisight’s state-of-the-art computer vision and robust multi-sensor network adapts in real-time to specific environments and workflows, unlocking previously inaccessible data and ensuring seamless integration into your healthcare ecosystem.
About the role
We are seeking an AI Scientist with expertise in natural language processing (NLP) for electronic health record (EHR) data — including clinical text understanding, data mining, structured/unstructured data integration, and predictive modeling. The ideal candidate will hold a Master’s or PhD in applied AI, machine learning, or a related field, with a proven research track record through open-source contributions or peer-reviewed publications in top-tier conferences/journals.
As an AI Scientist, you will work at the intersection of research and application — developing advanced AI models for health records, collaborating with cross-functional teams, and deploying these technologies into production healthcare environments.
What you'll do
- Train, fine-tune, and optimize large-scale NLP models for clinical text and health record data.
- Develop methods for extracting insights from structured and unstructured health records, including notes, lab results, imaging reports, and longitudinal patient histories.
- Contribute to the architecture of Artisight’s AI platform, ensuring seamless integration of health record intelligence with other AI modalities (vision, audio, IoT sensors).
- Collaborate closely with AI scientists, engineers, clinicians, and product teams to translate research ideas into production-ready solutions.
- Stay up to date with advances in clinical NLP, generative models, and multimodal AI, and bring these insights into Artisight’s applied research pipeline.
- Share research outcomes through internal discussions, technical reports, and potentially external publications.
Qualifications
- M.S. or Ph.D. in computer science, electrical engineering, biomedical informatics, applied AI, machine learning, or a related discipline.
- Demonstrated expertise in clinical NLP or health records AI research, evidenced by open-source contributions or peer-reviewed publications (e.g., NAACL, ACL, NeurIPS, ICML, AMIA, JAMIA).
- Hands-on experience with one or more of:
- Clinical named entity recognition (NER) and relation extraction
- De-identification and privacy-preserving text processing
- Clinical summarization, cohort selection, and patient timeline modeling
- Predictive modeling for outcomes, risk stratification, or decision support
- Integration of structured and unstructured EHR data
- Proficiency in deep learning techniques such as transformers, diffusion models, self-supervised learning, and sequence-to-sequence architectures.
- Strong coding and experimentation skills with frameworks such as PyTorch or TensorFlow.
- Experience with large-scale training and deployment tools (NVIDIA Triton, ONNX, or similar).
- A collaborative mindset and ability to communicate research findings clearly to both technical and non-technical audiences.
Nice to haves
- Experience with multimodal learning (EHR + imaging + audio + sensor data).
- Familiarity with federated learning and privacy-preserving AI approaches.
- Experience deploying AI in real-world healthcare environments.
- Contributions to open-source health NLP projects (e.g., MedSpaCy, Hugging Face Transformers for clinical text, cTAKES, BioBERT, ClinicalBERT).
Artisight is committed to fostering a diverse and inclusive workplace where individuals of all backgrounds, experiences, and identities are welcomed and valued.
We actively encourage and welcome all candidates apply for this position, regardless of whether they meet 100% of the listed qualifications. We recognize that qualifications are not solely determined by a checklist but also by an individual's potential, growth mindset, and capacity to learn and contribute effectively to our team.
Our recruitment and selection processes are designed to be fair and equitable, and we strive to eliminate any biases that may exist. We value diversity not only in terms of physical identity, e.g., gender, race, ethnicity, etc but also in perspectives, experiences, and backgrounds.
We believe that a diverse workforce enriches our organization by bringing a variety of perspectives, ideas, and experiences to the table. We are committed to promoting a culture of inclusion and respect, and we actively seek to create an environment where everyone can thrive and contribute to our success.
We invite all qualified individuals to consider joining our team and contributing to our mission and vision. Your unique talents and perspectives are valued assets that can help us achieve our goals.
IL and US only
