The mission of the Department of Medicine, Quantitative Sciences Unit (QSU)
is to facilitate cutting-edge scientific studies initiated by Stanford
investigators by providing expertise in biostatistics and informatics, to
mentor and educate clinical investigators in research methods, and to mentor
data scientists so that they can reach their full potential. The QSU achieves
its mission through an interdisciplinary collaborative approach where QSU
members become fully integrated into individual research teams.
Develop and implement protocol for quality control.
Create analytic files with detailed documentation.
Select appropriate statistical tools for addressing a given research
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
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.
- The job duties listed are typical examples of work performed by positions
in this job classification and are not designed to contain or be interpreted
as a comprehensive inventory of all duties, tasks, and responsibilities.
Specific duties and responsibilities may vary depending on department or
program needs without changing the general nature and scope of the job or
level of responsibility. Employees may also perform other duties as assigned.
At least 2-3 years of work experience in the field of data science and/or
biostatistics in either an academic/higher education or industry work
EDUCATION & EXPERIENCE (REQUIRED):
Master's degree in biostatistics, statistics or related field and three
years of experience.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
Proficient in at least two of R, SAS, SPSS, or STATA.
Skills in descriptive analysis, modeling of data, and graphic interfaces.
Outstanding ability to communicate technical information to both technical
and non-technical audiences.
Demonstrated excellence in at least one area of expertise, which may
include coordinating studies; statistical methodology such as missing
data, survival analysis, statistical genetics, or informatics; statistical
computing; database design (e.g., expertise in RedCAP or MySQL);
graphical techniques (e.g., expertise in Illustrator).
Frequently perform desk based computer tasks, seated work and use light/
Occasionally stand, walk, and write by hand, lift, carry, push pull
objects that weigh up to 10 pounds.
- Consistent with its obligations under the law, the University will
provide reasonable accommodation to any employee with a disability who
requires accommodation to perform the essential functions of his or her job.
May work extended or non-standard hours based on project or business cycle
Interpersonal Skills: Demonstrates the ability to work well with Stanford
colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal
responsibility and value for safety; communicates safety concerns; uses
and promotes safe behaviors based on training and lessons learned.
Subject to and expected to comply with all applicable University policies
and procedures, including but not limited to the personnel policies and
other policies found in the University's Administrative Guide,
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Stanford University has revolutionized the way we live and enrich the world.
Supporting this mission is our diverse and dedicated 17,000 staff. We seek
talent driven to impact the future of our legacy. Our culture and unique perks
empower you with:
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Discovery and fun. Stroll through historic sculptures, trails, and
Enviable resources. Enjoy free commuter programs, ridesharing
incentives, discounts and more.
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employer. All qualified applicants will receive consideration for employment
without regard to race, color, religion, sex, sexual orientation, gender
identity, national origin, disability, protected veteran status, or any other
characteristic protected by law.