Equip Health

About Equip Health

Transforming eating disorder treatment for families

🏢 Health, Medicine👥 11-50📅 Founded 2019📍 Carlsbad, California, United States

Key Highlights

  • Headquartered in Carlsbad, California
  • Dedicated care team of therapists, dietitians, and mentors
  • Served hundreds of clients since inception
  • Focus on evidence-based treatment methods

Equip provides evidence-based treatment for eating disorders through a dedicated care team that includes therapists, dietitians, medical providers, peer mentors, and family mentors. Headquartered in Carlsbad, California, Equip is focused on delivering personalized care to families and has served hun...

🎁 Benefits

Equip offers competitive salaries, equity options, generous PTO, and a flexible remote work policy to support work-life balance....

🌟 Culture

Equip fosters a supportive culture centered around empathy and collaboration, emphasizing the importance of family involvement in treatment and priori...

Skills & Technologies

Overview

Equip Health is hiring a Data Scientist II to analyze mental health and EHR data to inform treatment decisions. You'll work with SQL, Python, and R to design studies and track patient outcomes. This role requires experience in statistical analysis and a strong understanding of mental health data.

Job Description

Who you are

You have a strong background in statistical analysis and data science, with experience in mental health or healthcare settings. You are proficient in SQL and have a solid understanding of programming languages such as Python or R, enabling you to manipulate and analyze complex datasets effectively. Your experience includes designing experimental and observational studies, allowing you to contribute to meaningful insights that can improve patient outcomes. You are detail-oriented and possess excellent communication skills, enabling you to convey complex statistical concepts to non-technical stakeholders.

You are passionate about mental health and understand the importance of evidence-based treatment approaches. Your analytical mindset allows you to track health outcomes and make data-driven recommendations that can enhance treatment strategies. You thrive in a collaborative environment and enjoy working with cross-functional teams to achieve common goals. You are committed to diversity, equity, inclusion, and belonging, ensuring that your work contributes positively to the community.

What you'll do

In this role, you will be responsible for conducting thorough statistical analyses of mental health and electronic health record (EHR) data. You will design and implement both experimental and observational studies to track patient health throughout their treatment journey. Your work will involve developing methods to monitor patient progress and treatment outcomes, ensuring that Equip's approach remains evidence-based and effective. You will collaborate closely with clinical teams to inform treatment decisions based on your analyses, contributing to the overall mission of improving access to effective treatment for eating disorders.

You will also communicate your findings to various stakeholders, translating complex data into actionable insights that can guide clinical practices. Your role will require you to stay updated on the latest research and methodologies in the field of mental health, ensuring that Equip remains at the forefront of evidence-based treatment. You will have the opportunity to mentor junior analysts and contribute to a culture of continuous learning and improvement within the organization.

What we offer

Equip Health provides a fully remote work environment, allowing you to work from anywhere in the United States. We offer competitive compensation and benefits, including health insurance and professional development opportunities. Our team is dedicated to creating a supportive and inclusive workplace where everyone feels valued and empowered to contribute to our mission. Join us in making a difference in the lives of individuals with eating disorders and help shape the future of mental health treatment.

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