Cancer Data Science Leader

5 days ago

Palo Alto, California, United States Stanford Blood Center Full time

Company Overview

The Center for Population Health Sciences (PHS) at Stanford University is a world-class data ecosystem that hosts over 100 datasets, supporting 900 users, 600 studies, and 2,000 projects. Our data team manages the data ecosystem, advances critical research projects and initiatives, develops novel data products and services, and acquires new datasets that enable population health research.

Salary: The expected pay range for this position is $87,000 to $125,000 per annum.

Job Description

We are seeking an experienced Biostatistician 2 to lead the data science of the cancer research working group. As Assistant Director, you will work in close collaboration with PHS faculty and cancer researchers across Stanford University to manage large insurance claims datasets and design, implement, and report studies to ask cancer-related questions of these datasets.

This is an excellent opportunity for a data scientist interested in cancer and health outcomes, with access to world-class AI/ML faculty, working at the forefront of using large datasets to address major unanswered questions across various disciplines.

Required Skills and Qualifications

  • Expertise in healthcare claims data, data management, cloud computing, and excellent verbal and written communication skills.
  • Previous experience working with large, complex datasets is desired.

Benefits

  • A dynamic work environment where specifications often change rapidly in response to demand.
  • The opportunity to work with a diverse team of experts in population health sciences.
  • A competitive salary and benefits package.

Others

  • This role may be either on-campus or remote.
  • Duties include designing study protocols, developing and implementing quality control measures, creating analytic files, selecting statistical tools, implementing data analysis, presenting results, summarizing findings, and mentoring collaborators.
  • PhD in epidemiology, statistics, or a related field is preferred.
  • Master's degree in biostatistics, statistics, or a related field and at least 3 years of experience are required.

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