Data Scientist II - Mental Health Outcomes Statistician
About Equip
Equip is the leading virtual, evidence-based eating disorder treatment program on a mission to ensure that everyone with an eating disorder can access treatment that works. Created by clinical experts in the field and people with lived experience, Equip builds upon evidence-based treatments to empower individuals to reach lasting recovery. All Equip patients receive a dedicated care team, including a therapist, dietitian, physician, and peer and family mentor. The company operates in all 50 states and is partnered with most major health insurance plans. Learn more about our strong outcomes and treatment approach at www.equip.health.
Founded in 2019, Equip has been a fully virtual company since its inception and is proud of the highly-engaged, passionate, and diverse Equisters that have created Equip’s culture. Recognized by Time as one of the most influential companies of 2023, along with awards from Linkedin and Lattice, we are grateful to Equipsters for building a sustainable treatment program that has served thousands of patients and families.
About the role
This role will be responsible for the careful statistical analysis of mental health and EHR data to better understand our patients, track their health throughout treatment, and help inform treatment decisions. This role involves designing experimental and observational studies, planning and carrying out the statistical analysis on multiple treatment outcomes with experimental and real-world observational data, developing methods to track patient progress and treatment outcomes, and communicating the results clearly and effectively to stakeholders within Equip and to the larger eating disorder research community.
As part of the Data and Insights team, the statistician will collaborate with a diverse group of data scientists, analysts, engineers, clinical researchers, and product managers to work on exciting projects and contribute to the growth of Equip and improve outcomes for our patients.
Responsibilities
Build statistical models that track patient outcomes and are used to inform treatment decisions.
Help design experimental and observational studies and write the statistical plans for them.
Extract, clean, transform, and optimize data for analysis.
Analyze patient data, write internal reports, present to stakeholders, and publish in academic journals.
Translate complex findings into understandable reports, visualizations, and recommendations for technical and non-technical audiences.
Work with cross-functional teams to understand needs and identify where careful analysis and statistical research can support treatment.
Perform other duties as assigned.
Qualifications
Ph.D or Masters degree with 5+ years of industry experience required.
3+ years experience in developing mathematical and statistical models that measure mental health outcomes used to understand patients, treatment outcomes, and inform treatment decisions.
3+ years experience analyzing experimental data, observational data, and handling missing data in real-world treatment settings.
3+ years experience with experimental and observational study design.
3+ years experience with and deep understanding of causal inference, multilevel models, and other advanced statistical techniques.
Established track record in academic writing and publishing.
Proficient in SQL, Github, and statistical software (R preferred).
Ability to write clear, maintainable, extensible, and testable code.
Demonstrated ability to multi-task and prioritize in a dynamic environment.
Independent, organized, and solution-driven.
Benefits
Time Off:
Flex PTO policy (3-5 wks/year recommended) + 11 paid company holidays.
Medical Benefits:
Competitive Medical, Dental, Vision, Life, and AD&D insurance.
Equip pays for a significant percentage of benefits premiums for individuals and families.
Maven, a company paid reproductive and family care benefit for all employees.
Employee Assistance Program (EAP), a company paid resource for mental health, legal services, financial support, and more!
Other Benefits
Work From Home Additional Perks:
$50/month stipend added directly to an employee’s paycheck to cover home internet expenses.
One-time work from home stipend of up to $500.
Physical Demands
Work is performed 100% from home with no requirement to travel. This is a stationary position that requires the ability to operate standard office equipment and keyboards as well as to talk or hear by telephone. Sit or stand as needed.
At Equip, Diversity, Equity, Inclusion and Belonging (DEIB) are woven into everything we do. At the heart of Equip’s mission is a relentless dedication to making sure that everyone with an eating disorder has access to care that works regardless of race, gender, sexuality, ability, weight, socio-economic status, and any marginalized identity. We also strive toward our providers and corporate team reflecting that same dedication both in bringing in and retaining talented employees from all backgrounds and identities. We have an Equip DEIB council, Equip For All; also referred to as EFA. EFA at Equip aims to be a space driven by mutual respect, and thoughtful, effective communication strategy - enabling full participation of members who identify as marginalized or under-represented and allies, amplifying diverse voices, creating opportunities for advocacy and contributing to the advancement of diversity, equity, inclusion, and belonging at Equip.
As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability, weight, and/or any other legally protected classification protected by federal, state, or local law.
Our dedication to equitable access, which is core to our mission, extends to how we build our "village." In line with our commitment to Diversity, Equity, Inclusion, and Belonging (DEIB), we are dedicated to an accessible hiring process where all candidates feel a true sense of belonging. If you require a reasonable accommodation to complete your application, interview, or perform the essential functions of a role, we invite you to reach out to our People team at accommodations@equip.health.
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