PicnicHealth

πŸ‘₯ 51-100πŸ’° $60,000,000 Series C over 2 years agoBiotechnologyBig DataMedicalAnalyticsData VisualizationHealth CareπŸ’Ό Private Company
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PicnicHealth simplifies access to medical records and fuels medical research using cutting-edge technology. We provide patients with a secure online dashboard to view their complete medical history from any US healthcare provider. This data, when anonymized and consented, empowers life sciences research, enabling breakthroughs in care. We are uniquely positioned at the intersection of patient empowerment and groundbreaking research, offering a significant impact on healthcare. Our team employs a robust tech stack, including React, Node.js, Python, GraphQL, PostgreSQL, Redis, and cloud infrastructure (GCP and Kubernetes). We foster a collaborative, remote-first engineering culture that values innovation and continuous improvement. Our engineers work across the full stack, shipping code frequently and taking ownership of projects from inception to deployment. We prioritize building well-architected systems, and we support our team through mentorship opportunities and a focus on professional development. PicnicHealth's mission is to redefine healthcare by leveraging data responsibly. We're an award-winning company with a proven track record of success, having partnered with top biopharma companies and secured over $100 million in venture funding. Our growth trajectory is strong, and we're looking for talented individuals to join our team and contribute to our ongoing success. We offer a remote-first environment with opportunities for in-person collaboration, excellent compensation and benefits, and the satisfaction of making a tangible difference in healthcare. We value diversity and inclusion and are committed to creating a supportive work environment where everyone feels valued and respected. Join a team passionate about transforming healthcare through technology and impactful research.

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πŸ”₯ AI Engineer
Posted 3 months ago

πŸ“ USA

🧭 Full-Time

πŸ’Έ 180000.0 - 220000.0 USD per year

πŸ” Healthcare and Life Sciences

  • Have a Ph.D. degree in Computer Science or related technical field.
  • Have published research in the domain of LLMs.
  • Have hands-on experience building models in Pytorch.
  • Display a solid understanding of the latest AI/ML research trends and techniques.
  • 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 with cloud deployments using Terraform, Kubernetes, etc.
  • 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.
  • Help expand a world-class AI team by attracting, interviewing, and onboarding future team members.

PythonKubernetesMachine LearningPyTorchTerraform

Posted 3 months ago
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πŸ”₯ Product Engineer
Posted 4 months ago

πŸ“ United States

🧭 Full-Time

πŸ’Έ 160000 - 180000 USD per year

πŸ” Life Sciences

  • Have experience shipping code for 5+ years.
  • A B.S. in Computer Science or related field, or equivalent experience.
  • Strong foundation in computer science, with competencies in data structures, algorithms, software and system design.
  • Experience driving multi-quarter and multi-team initiatives or projects forward.
  • Successful at communicating with cross-functional stakeholders.
  • Ability to code on client and server for web platforms and write SQL queries.
  • Experience deploying and maintaining production applications in the cloud (GCP, AWS, Azure).
  • Excited by machine learning and its implications for user interfaces.
  • Drive impact for the organization by rallying partners to solve difficult and sometimes ambiguous problems.
  • Partner on translating the company’s strategic and high impact initiatives into an iterative roadmap of work.
  • Execute on the delivery with the engineering team.
  • Work at all levels of the stack including frontend, backend, infrastructure, and data.
  • Ship code to production frequently.
  • Architect efficient and reusable systems and propose best practices.
  • Mentor engineers by providing technical guidance.

GraphQLPostgreSQLPythonSQLGCPKubernetesMachine LearningAlgorithmsData StructuresRedisReact

Posted 4 months ago
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