Statistician

Emendata • San Francisco, CA

3d • Onsite

About The Position

For this role, we are looking for someone to serve as a technical lead on statistical projects analyzing healthcare programs. This position is responsible for translating high-level direction from management or clients into studies/analyses that leverage statistically robust methods. We are looking for you to:
Operationalize research questions from management and clients into robust analytic frameworks, research activities, and deliverables with minimal direction
Apply a broad set of statistical methods to analyze and interpret data, including survey data, health records, and other administrative data
Prepare research for dissemination to a variety of technical and non-technical audiences; produce materials (e.g., reports, presentations) that summarize the data and methodology, interpret analytic findings, and provide conclusions and recommendations
Support project teams internally by providing input on study design and application of statistical methods
Support development of data analysts through technical mentoring, code review, trainings, and other assistance
Continue growing subject matter expertise by staying up-to-date on the latest statistical techniques and applications; contribute to the development of the company’s institutional knowledge
Engage with stakeholders to understand client needs/priorities, business processes, program policy, data, etc.

Requirements

• Education: M.S. or Ph.D. in statistics or related field
• Experience: 2+ years applied research experience with statistical sampling and applying statistical models
• Technical Expertise: Strong familiarity with statistical sampling, probability, regression modeling, and practical applications
• Programming: Experience performing analyses using Python, R, or SQL
• Communication: Ability to write clearly and communicate effectively with technical and non-technical audiences
• Interests: Strong interest in social science research
• Working Style: Capable of working with minimal supervision and a high level of initiative; practical approach to problem-solving; comfortable working both independently and collaboratively on client-facing projects

Nice To Haves

• Experience: Strong track record of research excellence in a professional setting (experience in consulting preferred)
• Technical Expertise: Familiarity with artificial intelligence and machine learning methods, tools, and practical applications a plus
• Domain Expertise: Knowledge of healthcare data, policy, and program integrity efforts strongly preferred (e.g., Medicare policy, CMS data)

Responsibilities

• Operationalize research questions from management and clients into robust analytic frameworks, research activities, and deliverables with minimal direction
• Apply a broad set of statistical methods to analyze and interpret data, including survey data, health records, and other administrative data
• Prepare research for dissemination to a variety of technical and non-technical audiences; produce materials (e.g., reports, presentations) that summarize the data and methodology, interpret analytic findings, and provide conclusions and recommendations
• Support project teams internally by providing input on study design and application of statistical methods
• Support development of data analysts through technical mentoring, code review, trainings, and other assistance
• Continue growing subject matter expertise by staying up-to-date on the latest statistical techniques and applications; contribute to the development of the company’s institutional knowledge
• Engage with stakeholders to understand client needs/priorities, business processes, program policy, data, etc.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 1-10 employees