What are the responsibilities and job description for the Senior NLP Applied Scientist position at Dyania Health?
Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically pre-adapted and fine-tuned large language model (LLM) with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records (EMR). Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate the process of manual chart review of EMRs, without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, and deploys medical logic with temporal sensitivity to match dynamically changing patient characteristics with complex clinical trial criteria during the exact window of time that a given EMR may qualify for study protocol criteria.
Dyania Health is looking for Senior NLP Applied Scientists to help us transform the way in which machines process biomedical information and revolutionize the way in which clinical trials are conducted. You will be working alongside team members with deep technical expertise in NLP, top medical professionals (MDs, pharmacology PhDs, and others), and an experienced product team. The ideal candidate will have strong foundations in computer science and ML/NLP, superb communication skills, significant industry experience and a proven track record of delivery under tight deadlines.
Individuals will be required to be in the office at least 3 days per week.
Key Responsibilities:- Design, build, evaluate, and deploy algorithms and models for accurately extracting medical information from structured and unstructured data sources
- Work closely with product, UX, and clinical teams to prototype and test new functionality
- Analyze performance results and convey your analyses to relevant stakeholders
- Conduct research, publish and present your findings at relevant scientific venues
- Graduate degree in a relevant field (Computer Science, Mathematics, Electrical Engineering)
- 4 years of industry experience in designing, building, and deploying NLP models (note: internships and school work do not count)
- Experience in applying transformer-based deep-learning techniques to challenging NLP problems
- Fluency in Python and experience with Python-based ML frameworks such as PyTorch and HuggingFace
- Outstanding communication skills
- Publications in top-tier NLP conferences
- Experience with distributed ML frameworks such as DeepSpeed and FSDP
- Background in computational linguistics
- We lead with empathy for patients and our teammates
- We value small egos, self-awareness, and humility in our teammates
- We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift
- We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team
- We value open dialogue and brainstorming across multidisciplinary teams
Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws.
