Staff Statistician

Emendata, LLC; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Emendata, LLC in San Francisco is seeking a technical lead on statistical projects analyzing healthcare programs. You will translate high-level direction from management into studies that leverage robust analytical methods, applying a broad set of statistics to data from surveys, health records, and administrative sources.

You will prepare materials for both technical and non-technical audiences, mentor data analysts, contribute to study design, and stay current on advanced techniques while

Qualifications

• MS/PhD in statistics or related field required.
• 2+ years of applied research with statistical methods.
• Experience delivering analyses to both technical and non-technical audiences.

Responsibilities

• Translate client direction into analytic studies using robust statistical methods.
• Apply methods to survey data, health records, and administrative data.
• Prepare reports/presentations for diverse audiences with clear conclusions.
• Support study design and mentor junior analysts.
• Stay current with new statistical techniques and contribute to institutional knowledge.
• Engage with stakeholders to understand client needs and priorities.

Skills

Statistical methods

Statistical sampling

Python

R

SQL

Regression modeling

Communication

Social science

Independent work

Education

MS or PhD in statistics

Job description

About Us: At Emendata, we help bridge the gap between data and the real world. We partner with organizations that have a social mission and help them tackle their problems using analytics. Our role in these partnerships goes end to end—we handle everything from wrangling the data to analyzing the problem to turning the results into something actionable. We know that this analytics pipeline does not live in a vacuum. Getting to meaningful numbers requires more than just the right methods; it calls for understanding the people, policies, data, and systems involved.

With this approach, our small but fast-growing team is having a big impact taking on challenges in healthcare program integrity – safeguarding programs like Medicare and Medicaid by preventing fraud, waste, and abuse. We are growing our team with people who enjoy figuring out hard problems, want their work to matter, and set a high bar for themselves and their teammates.

About the Role: 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.

Required Qualifications: We are looking for you to have the following qualifications:

• 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

Desired Qualifications: If you do not meet all the criteria below but still think you would be a good fit for this role, please apply so we can see if we can find the right spot for you on the team.

• 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)

This position is full-time onsite in San Francisco. Working side by side accelerates learning, mentorship, and the kind of collaboration that leads to producing our best work. Additionally, to be considered for this position, applicants must have the ability to work in the U.S. without a need for current or future visa sponsorship. Staff will be required to complete a successful background investigation, including the Questionnaire for Public Trust Position SF-85.Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for employment.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Emendata’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in a U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.