LifeStance Health · 9 hours ago
Principal Quantitative Scientist
United States
Full-time
Onsite
Senior Level, Lead/Staff
$140K/yr - $160K/yr
5+ years expLifeStance Health is one of the largest providers of mental health care in the country, seeking an experienced Quantitative Scientist to join their Analytics and Insights team. The role involves leading clinical quantitative research initiatives, collaborating with stakeholders, and translating research findings into improvements in care quality.
Health CareHospitalMedical
Responsibilities
Serve as expert analyst for clinical quantitative research, owning the planning and execution of quantitative analysis to support all clinical research at LifeStance
Leverage our national data to generate novel research findings on the effectiveness of a broad range of outpatient treatments (e.g., psychotherapy, medication, TMS) across virtual and in-person settings
Implement a variety of statistical approaches tailored for complex research questions, such as longitudinal analysis, survival modeling, multi-level modeling, and predictive modeling
Extract and transform electronic health record data into structured datasets suitable for research analysis. Partner with other analysts and data engineering to define reproducible, versioned data assets
Provide research findings to support validation and dissemination of high-quality mental health care through peer-reviewed research, conference presentations, white papers, and blog posts
Collaborate independently with clinical leaders to plan research initiatives and set priorities according to clinical and business goals
Conduct quantitative analysis to support design of evidence-based quality improvement initiatives (e.g., clinical care pathways, patient-clinician matching, clinical decision support)
Explore opportunities to embed predictive analysis and predictive models into clinical and operational workflows to improve care quality and patient retention
Qualification
Required
Master's degree in a quantitative discipline such as applied statistics, mathematics, biostatistics, data science, epidemiology, health economics and outcomes research, or a related discipline with 10+ years full-time experience conducting quantitative health care research in provider, payor, consulting, or other industry settings, required
Alternatively, a candidate may have a PhD in a quantitative discipline such as applied statistics, mathematics, biostatistics, data science, epidemiology, health economics and outcomes research, or a related discipline and 5+ years full-time experience conducting quantitative health care research in provider, payor, consulting, or other industry settings
5+ years using open-source programming languages (Python or R) for data cleaning, statistical analyses, data visualization, and generating summary reports, required
Multiple years of experience conducting statistical analyses on real-world clinical data, such as electronic health records, claims databases, observational cohort studies, or clinical trials
Strong quantitative skills in statistical analysis of longitudinal and observational data, with mastery of techniques for related study designs (missing data, propensity score weighting, etc.)
Strong record of peer-reviewed publications from real-world datasets, with additional experience supporting other short-form formats (e.g., blog posts, white papers) with data-driven insights and statistical analysis
Intermediate SQL skills, with 2+ years of experience using SQL to extract and transform extract data from cloud data warehouse
Strong collaboration and communication skills, with clear record of independent stakeholder partnership to iterate on results and align on goals
Applied experience in core principles of machine learning (e.g., cross-validation, model tuning) and building predictive models for clinical use cases
Remote requirements include a quiet, distraction free, dedicated HIPAA (Health Insurance Portability and Accountability Act) compliant workspace in your remote office
Qualified candidates must be legally authorized to be employed in the United States
Demonstrates awareness, inclusivity, sensitivity, humility, and experience in working with individuals from diverse ethnic backgrounds, socioeconomic statuses, sexual orientations, gender identities, and other various aspects of culture
Preferred
Experience in quality improvement (QI) initiatives, specifically generating insights from real-world clinical data to inform impactful QI initiatives
Experience and related domain expertise in psychiatry, neuroscience, or other related mental health discipline
Strong skills in machine learning and data science, with experience building predictive models deployed for production use cases
Familiarity with AWS tech stack (e.g., Redshift, EC2, S3, etc.)
Experience creating dashboards with business intelligence software, preferably Power BI
Benefits
Medical
Dental
Vision
AD&D
Short and long-term disability
Life insurance
401k retirement savings with employer match
Paid parental leave
Paid time off
Holiday pay
Employee Assistance Program
Company
LifeStance Health
LifeStance is a national provider of behavioral healthcare services with operations across the country.
5001-10000 employees
H1B Sponsorship
LifeStance Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (5)
2021 (2)
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$125MKey Investors
Silversmith Capital Partners
2024-05-21Post Ipo Secondary· $125M
2021-06-09IPO
2017-01-01Private Equity
Leadership Team
Chuck Solomon
Director of Employer Branding & Recruitment Marketing
Warren Gouk
Chief Administrative Officer (CAO)
Recent News
LifeStance Health, Inc.
2025-11-07
2025-11-07
Company data provided by crunchbase