Staff Statistician

Emendata

$90K — $130K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • M.S. or Ph.D. in statistics or related field
  • 2+ years applied research experience with statistical sampling and models
  • Strong familiarity with statistical sampling and regression modeling
  • Experience with data analysis in Python, R, or SQL
  • Effective communication skills for both technical and non-technical audiences
  • Strong interest in social science research
  • Ability to work independently and collaboratively with initiative.

Responsibilities

  • Translate research questions into analytic frameworks and deliverables with minimal supervision
  • Apply statistical methods to analyze and interpret various data types
  • Prepare and present research findings to diverse audiences
  • Contribute to study design and statistical methodology for project teams
  • Mentor junior data analysts through code reviews and training
  • Stay current on statistical techniques and enhance company knowledge
  • Engage with stakeholders to understand client needs and priorities.

Benefits

  • Full-time onsite work in San Francisco fostering collaboration and mentorship
  • Opportunities for technical mentoring and professional growth
  • Exposure to a variety of statistical techniques and healthcare data
  • Involvement in impactful healthcare program analyses
  • Engagement with a diverse range of audiences and clients.
Full Job Description
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.

Similar Jobs

More Jobs at Emendata

  • Staff Statistician
    $90K — $130K *
    San Francisco, CA 94112 (San Francisco County)
    Healthcare
    In-Person
  • Data Analyst
    $80K — $120K *
    San Francisco, CA 94112 (San Francisco County)
    Information Technology
    In-Person

More Healthcare Jobs

Find similar Staff Statistician jobs: