AI Research Engineer, PicnicHealth
$180-220k
+ Equity
More information about location
Patient health record management
Open for applications
Patient health record management
201-500 employees
Open for applications
$180-220k
+ Equity
More information about location
201-500 employees
Company mission
To make medical records easy to access and to use data to power the next frontier of medical research.
Role
Who you are
- We are open to both strong engineers who are interested in the latest research, as well as strong researchers who are interested in getting their hands dirty with engineering work
- Research candidates are a great fit if you:
- Have a Ph.D. degree in Computer Science or related technical field
- Have published research in the domain of LLMs
- Are deeply motivated by the potential to improve healthcare by capitalizing on the advances of LLMs
- Have hands-on experience building models in pytorch
- Display a solid understanding of the latest AI/ML research trends and techniques, coupled with a commitment to continual learning and professional growth in these areas
- Engineering candidates are a great fit if you:
- Have 5 years of prior experience writing production code in python
- Have hands-on experience building RAG applications
- Have experience deploying ML models in the cloud
- Are comfortable getting your hands dirty with cloud deployments using terraform, kubernetes, etc
- Care deeply about well-architected systems
- We expect all team members to be motivated to be amazing in their roles and, ultimately, to move the PicnicHealth mission forward
What the job involves
- Machine learning is at the heart of our work and technical strategy
- Our company sifts through the messy mountain of data that captures each patient’s care journey in whatever format it exists in the real world
- To do that, we’ve built a human-in-the-loop AI/ML pipeline that ingests medical records and scans, converts them into structured data, and then synthesizes them into a form that is directly useful to patients, clinicians, and researchers
- This process enables us to build products that improve patient/doctor communication and care decisions, or develop the next generation of data-driven life-sciences studies
- Our Machine Learning team’s goal is to capitalize on the latest technology to both expand our core capabilities and to improve the efficiency with which we process records in our existing pipeline
- Our latest strategic initiatives have already begun putting large language models (LLMs) at the heart of our predictive techniques
- Propel the performance of our LLM, specifically tailored for medical records, through cutting edge research and development initiatives
- Develop advanced methods for understanding and evaluating the capabilities and limitations of our LLM
- Survey and incorporate recent advances in AI/ML research into our set of core capabilities
- Share insights and breakthroughs through academic publications, blog posts, and other mediums, showcasing the innovative work conducted by our team
- Help expand a world-class ML team by attracting, interviewing, and onboarding future team members during this exciting time of growth
Our take
Picnic Health was born out of the frustration felt by founder Noga Leviner; a Crohn’s Disease patient who struggled to keep healthcare professionals in the loop regarding her health. She created the company to fix a broken system, making it easier for patients to access and manage their own medical health records and coordinate their own care.
Tens of thousands of patients now use the system. In addition, the company allows patients to consent to sharing their de-identified medical history to contribute to external research of their conditions, with the company currently supporting research in over a dozen diseases.
Early in 2023, Picnic Health formed a partnership with pharma giant Roche help utilize Picnic Health's datasets for Alzheimer's Disease and related conditions. This will enable Roche's research teams to better understand disease progression and develop treatments at each stage of the illness. In addition to this partnership, Picnic Health has raised a significant amount of capital and is deploying this to further its innovative work of using machine learning and human curation to absorb complete records into its system.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Jun 2022
$60m
SERIES C
Sep 2020
$25m
SERIES B
Total funding: $107m
Company benefits
- Comprehensive benefits including above market Health, Dental, Vision
- Family friendly environment
- Flexible time off
- 401k plan
- Free PicnicHealth account
- Equipment and internet funds for home office set up
Company HQ
Yerba Buena, San Francisco, CA
Articles
Leadership
Noga Leviner
(CEO)Joined Ashoka as Program Manager after graduating from Stanford. Was an Independent Consultant before becoming CEO of Lumni USA.
Troy Astorino
(CTO)Studied Physics at MIT. Was a Software Developer at Lockheed Martin, and a Software Engineer at SpaceX.
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