Head of Clinical AI, NLP and Search
Deep 6 AI
What You'll Do
- Lead the development and productization of advanced AI-powered features and functionalities to enrich our product suite, utilizing advanced AI/ML techniques to push the boundaries of what is possible in clinical trials acceleration.
- Bring best practices to the team, enabling and empowering its contributors with best-in-class tooling and techniques.
- Establish and maintain key performance metrics to track the effectiveness of the initiatives under your purview.
- Foster collaboration with internal and external stakeholders to gather feedback and drive continuous improvement.
- Enhance Deep 6 AI's reputation as a leader in AI-driven clinical trials acceleration through thought leadership and industry recognition.
- Build a world-class team of data scientists and ML engineers.
About You
- Broad and deep expertiseacross a wide range of proven or promising clinicalNLP and AI techniques applied to large volumes of clinicaldata.
- Experience with modern AI/ML/NLP techniques, including models like BERT, and techniques like Retrieval-Augmented Generation (RAG), along with familiarity with tools, frameworks, and infrastructure like PyTorch, TensorFlow, and MLOps platforms.
- Strong background in applied machine learning, with hands-on experience developing and deploying production-ready modelsin a live client setting.
- Experience working with healthcare data, especially HL7, FHIR and NCCM guidelines.
- Strong player-coach mentality, with an ability to drive the hands-on needs of leading the search/enrichment team. Proven record of accomplishment, leading successful Data/AI/ML initiatives within a product-focused environment.
- Experience with database technologies, especially Elasticsearch, PostgreSQL, Amazon Aurora, and DynamoDB.
- Demonstrated passion for staying up to date with the latest AI/ML research and trends, along with a record of accomplishment of driving innovation.
- Commitment to responsible AI principles, with an ability to navigate ethical considerations around application of AI to sensitive data.
- Understanding of Software Development Life Cycle and data product development.
- Conceptual understanding of streaming data ingestion and ETL processes.
Preferred Qualifications
- Healthcare Experience: Familiarity with healthcare applications and compliance requirements.
- Cloud Services: Experience with cloud-based data processing and storage services.
- Infrastructure as Code: Proficiency with infrastructure as code tools.
While specific expertise in our tech stack is beneficial, we value adaptability and a willingness to learn. Out tech stack includes:
- Java (Kotlin), Python, TypeScript
- AWS Services, Docker
- FHIR Servers (HAPI, AidBox)
- Elasticsearch, RDS, DynamoDB
- CI/CD: GitHub Actions
- Monitoring: OpenTelemetry, AWS X-Ray, Datadog, Pendo