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Clinical Research Assistant

Supportiv
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About The Job

Supportiv is dedicated to building a peer-to-peer mental well-being platform that offers affordable, on-demand support for users’ emotional needs 24/7/365. We are looking for a highly analytical and impact-oriented Clinical Research Assistant to join our Data Science team.

This role is tailored for a research-based Ph.D. student or post-doctoral who will be essential in conducting research, running analytics, and creating hypotheses to drive data-driven product development and business decisions. The Clinical Research Assistant will analyze data, publish peer-reviewed articles, and work cross-functionally between various teams at Supportiv.

What Makes Supportiv Special?

We are not just a highly ambitious technology company with a soul. Fundamental to our mission to help improve mental wellbeing is offering affordable, on-demand, and equitable access to peer support. We enable users to cope with, problem-solve, and heal from struggles in an ultra user-friendly, practical, tactical way by harnessing the power of AI and natural language understanding (NLU).

Responsibilities

  • Conduct research and run analytics to guide data-driven product development and business decisions
  • Create hypotheses and perform business intelligence
  • Analyze data and publish peer-reviewed articles for Supportiv
  • Design and conduct clinical research experiments
  • Collaborate with cross-functional teams to drive research initiatives
  • Use statistical and mathematical skills to interpret complex data sets
  • Utilize programming skills to develop and evaluate the outcome of your experiments

What Will You Need to Succeed?

  • Currently enrolled as a research-based Ph.D. student or post-doctoral in a relevant field
  • First or second author on peer-reviewed publications
  • Background in clinical research, public health, and psychology is a bonus
  • Proficiency in designing experiments and conducting clinical research
  • Excellent Python programming skills and experience with common data analysis tools
  • Strong knowledge of statistics and mathematics
  • Experience in analyzing data and publishing peer-reviewed articles
  • Exceptional communication and interpersonal skills
  • Ability to work effectively in a multidisciplinary start-up culture

What Will You Get?

  • Paid experience at $30/hr
  • Authorship of peer-reviewed journal articles
  • Experience working with large columns of high-quality data with real-world struggles
  • Opportunity to work in a vibrant, cross-functional environment
  • Learn how to design solutions to address real business problems
  • Hands-on experience with cloud computing technologies
  • Gain a deep understanding of the mental health tech industry

Interview Process

  • Initial resume screen
  • [1 day] Take-home challenge
  • In-depth interview stages:
    • [30 min] Technical programming interview
    • [60 min] Technical presentation and problem-solving interview
    • [60 min] Value and cultural fit with the Co-Founders
  • We check references and make you an offer