Research Scientist
Apply NowCompany: Phare Health
Location: New York, NY 10025
Description:
About Us
Our mission is to make healthcare reimbursement fair and transparent, so providers can spend more time caring for patients and less time haggling over costs. We specifically focus on the most complex AI challenges that require novel R&D, building products that are fit for purpose in healthcare. We are backed by some of the top healthcare investors and growing fast. Join us!
The Role
As a Research Scientist, you'll design and implement state-of-the-art approaches involving medical large language models and information retrieval pipelines. Think DeepMind research lab, but with a much faster product iteration cycle where your research is shipping to product in weeks not years.
Key Responsibilities
Technical Expertise
Startup Mindset
Prior healthcare experience is not required, but a strong interest in applying machine learning to medical applications is essential.
Benefits
We are ideally seeking candidates based in NYC, willing to come into the SoHo office at least 3 days per week. However, we're willing to consider remote options for exceptional candidates.
Hiring Process
Initial application. Intro call: Discuss your background, career goals, and our mission. 2 x technical interviews: A programming or system design exercise focused on real-world data challenges. Referees: We ask for 2 referees who can speak to your professional/technical work Culture interview: Ways of working, and a chance to ask questions Offer
Our mission is to make healthcare reimbursement fair and transparent, so providers can spend more time caring for patients and less time haggling over costs. We specifically focus on the most complex AI challenges that require novel R&D, building products that are fit for purpose in healthcare. We are backed by some of the top healthcare investors and growing fast. Join us!
The Role
As a Research Scientist, you'll design and implement state-of-the-art approaches involving medical large language models and information retrieval pipelines. Think DeepMind research lab, but with a much faster product iteration cycle where your research is shipping to product in weeks not years.
Key Responsibilities
- Push Forward SOTA: Design and train novel architectures for information retrieval and reasoning, leveraging frontier models, open-source models and traditional methods. Take ideas from whiteboard to trained model in days or weeks.
- Research Leadership: Drive a research agenda that explores new architectures, post-training methods, ensuring our methods remain on the cutting edge with this rapidly evolving field.
- Engineering Rigor: Collaborate with engineering colleagues to rapidly translate research findings into production and optimize experimental findings for scale.
- Collaborative Problem Solving: Work closely with cross-functional teams, including data scientists, clinicians, and software engineers, to integrate user feedback into experiment design.
Technical Expertise
- PhD (or equivalent experience) in Computer Science, Machine Learning or a related field.
- 2+ years of relevant work experience.
- Strong proficiency in PyTorch and experience working with large-scale text datasets.
- Experience with multi-GPU training for large language models or other deep learning models.
- Deep understanding of transformer architectures, sequence models, RAG pipelines. Solid grounding in NLP fundamentals.
Startup Mindset
- Comfortable with ambiguity and rapid iteration.
- Driven to take ownership of projects and deliver impactful outcomes.
Prior healthcare experience is not required, but a strong interest in applying machine learning to medical applications is essential.
Benefits
- Competitive compensation: Top-of-market salary plus equity.
- Flexible PTO: Generous vacation policy and remote-friendly culture.
- Team culture: Regular team-building events, a collaborative atmosphere, and mission-driven work.
We are ideally seeking candidates based in NYC, willing to come into the SoHo office at least 3 days per week. However, we're willing to consider remote options for exceptional candidates.
Hiring Process