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Full-Time

Machine Learning Research Scientist

Confirmed live in the last 24 hours

Picnic Health

Picnic Health

201-500 employees

Digitizes and organizes patient medical records

Data & Analytics
Hardware
Social Impact
AI & Machine Learning
Biotechnology
Healthcare

Compensation Overview

$180k - $220kAnnually

+ Equity + Medical Benefits + Dental Benefits + Vision Benefits + Flexible Time Off + 401k Plan + Wellness Stipend

Senior, Expert

San Francisco, CA, USA + 1 more

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Lab & Research
Required Skills
Pytorch
Requirements
  • 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.
Responsibilities
  • 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

PicnicHealth focuses on managing digital health records and supporting medical research. The company collects and digitizes patients' medical records, organizing them into a user-friendly timeline that helps individuals track their health history and share it with healthcare providers. Additionally, users can choose to contribute their anonymized medical data to research initiatives, aiding in the advancement of medical science. Unlike many competitors, PicnicHealth combines personal health management with contributions to research, creating a dual benefit for users and the medical community. The goal is to empower patients in managing their health while facilitating breakthroughs in medicine through data sharing.

Company Stage

Series C

Total Funding

$174.1M

Headquarters

San Francisco, California

Founded

2014

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

13%
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Simplify's Take

What believers are saying

  • Recognition by Newsweek and MedTech Breakthrough as a top health technology company underscores PicnicHealth's industry leadership and innovation.
  • The launch of the Pulse product and AI-driven study portal demonstrates PicnicHealth's commitment to advancing observational research and improving patient outcomes.
  • Strategic partnerships with leading researchers and life sciences companies enhance PicnicHealth's ability to contribute to significant medical breakthroughs.

What critics are saying

  • The competitive landscape of digital health records and medical research is intense, requiring continuous innovation to maintain a competitive edge.
  • Dependence on user subscription fees and research partnerships may pose financial risks if either revenue stream faces challenges.

What makes Picnic Health unique

  • PicnicHealth uniquely combines personal health management with medical research, offering a dual service that benefits both individual patients and the broader medical community.
  • Their AI-driven platform simplifies observational research by directly consenting patients and rapidly accessing their comprehensive medical records, setting them apart from traditional research models.
  • The company's focus on data encryption and patient privacy ensures a high level of trust and security, which is crucial in the healthcare technology sector.