PicnicHealth

HQ
San Francisco, California, USA
100 Total Employees
Year Founded: 2014

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Jobs at PicnicHealth

Search the 5 jobs at PicnicHealth

Recently posted jobs

14 Hours Ago
San Francisco, CA, USA
Remote
Healthtech • Machine Learning • Natural Language Processing
The Marketing Assistant will support various marketing initiatives by collaborating with managers, developing engaging content, executing multi-channel campaigns, and analyzing performance metrics while ensuring brand consistency.
14 Hours Ago
San Francisco, CA, USA
Remote
Healthtech • Machine Learning • Natural Language Processing
The Life Sciences Principal at PicnicHealth is responsible for driving new business and enhancing existing customer relationships in the life sciences sector. They will manage complex sales processes and use their expertise in real-world data (RWD) to advance client research needs. The role involves leading a team of business developers and contributing to sales strategy, with opportunities for travel.
7 Days Ago
San Francisco, CA, USA
Remote
Healthtech • Machine Learning • Natural Language Processing
As the Epidemiology Solutions Principal, you will design and oversee studies for research partners, leveraging expertise in study design, epidemiology, and the use of electronic health records. You will collaborate with Sales and Research teams to ensure study goals are met, facilitating communication with stakeholders and driving the scientific narrative for PicnicHealth's platform.
10 Days Ago
San Francisco, CA, USA
Remote
Healthtech • Machine Learning • Natural Language Processing
As the Study Management Lead, you will oversee and support the execution of study management activities for digital observational studies, ensuring compliance with regulations and safety standards while collaborating with cross-functional teams.
14 Days Ago
San Francisco, CA, USA
Remote
Healthtech • Machine Learning • Natural Language Processing
PicnicHealth is looking for a Senior Product Engineer to drive impact for the organization by solving difficult problems. The role involves working at all levels of the stack — frontend, backend, infrastructure, and data. The engineer will ship code to production frequently and mentor other engineers.