Assistant Director, Cancer Data Science

Structural racism and social inequalities have led to deep and persistent health inequalities. The Center for Population Health Sciences (PHS) is focused on harnessing data to address these inequalities and improve population health. Toward this end, we have created a world-class data ecosystem that hosts over 100 datasets, supporting 900 users, 600 studies, and 2,000 projects. PHS’ data team is responsible for managing PHS’ data ecosystem, advancing critical research projects and initiatives, developing novel data products and services, and acquiring new datasets that enable population health research.

The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below.

The Assistant Director (Biostatistician 2) will lead the data science of the cancer research working group. Working in close collaboration with PHS faculty and cancer researchers across Stanford University, they will 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 use of large datasets to address major unanswered questions across a variety of disciplines.

The ideal candidate will have expertise in health care claims data, data management, cloud computing, and excellent verbal and written communication skills. Previous experience working with large, complex datasets is desired. The work will take place in a dynamic environment where specifications often change rapidly in response to demand, so the candidate must be able to be flexible.

This position may be either on-campus (at Stanford University in Palo Alto, California) or remote.

Duties include :

• Design study.
• Develop and implement protocol for quality control.
• Create analytic files with detailed documentation.
• Select appropriate statistical tools for addressing a given research question.
• Implement data analysis through statistical programming.
• Present results for investigators using graphs and tables.
• Summarize findings orally and in written form.
• Participate in the preparation of papers for publication.
• Consult with investigators on appropriate statistical approaches to data analyses; assist in study design and proposal development.
• Mentor collaborators in areas of experimental design, quality control, and statistical analysis.
• Develop oral and written dissemination of findings for conference presentations and peer-reviewed journal articles.
• Oversee lower-level staff on issues related to quality control and creation of analysis files.

DESIRED QUALIFICATIONS :

EDUCATION & EXPERIENCE (REQUIRED) :

Master's degree in biostatistics, statistics or related field and at least 3 years of experience.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED) :

PHYSICAL REQUIREMENTS :

WORKING CONDITIONS :

May work extended or non-standard hours based on project or business cycle needs.

WORK STANDARDS :

This role is open to candidates anywhere in the United States. Stanford University has five Regional Pay Structures.

The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $87,000 to $125,000 per annum.

As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit the Stanford University website.

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Salary : $87,000 - $125,000