Biostatistician 3

Location
Stanford
Posted
Mar 08, 2018
Institution Type
Four-Year Institution


Biostatistician 3

Stanford University

Job Number:
78189

Stanford University, Department of Medicine is seeking a Biostatistician 3 to independently design studies, analyze data, and disseminate findings for our Quantitative Sciences Unit (QSU). The Biostatistician will independently work with investigators on proposal or grant development. Take the statistical lead on studies. Oversee biostatisticians in the lower levels on data cleaning and creation of analytic files. Lead statistical projects related to collaborations on topics including statistical software, and evaluation of methods.

The mission of the 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.

Website: https://med.stanford.edu/qsu.html

Duties include:
  • Oversee lower-level staff on quality control
  • Oversee lower-level staff on creation of analytic files
  • Identify appropriate statistical tools for analysis
  • Implement data analysis through statistical programming
  • Collaborate with investigators and others on appropriate statistical approaches to data analyses; assist in study design
  • Develop oral and written dissemination of findings for conference presentations and peer-reviewed journal articles
  • Mentor clinical investigators on relevant research methods
  • Implement studies to address statistical issue arising from collaborations

* - Other duties may also be assigned


EDUCATION & EXPERIENCE (REQUIRED):

Master's degree in biostatistics, statistics or related field and at least 5 years of experience or Ph.D. in biostatistics, statistics or related field.

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)

PHYSICAL REQUIREMENTS*:
  • Frequently perform desk based computer tasks, seated work and use light/ fine grasping
  • 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.

WORKING CONDITIONS:

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

WORK STANDARDS (from JDL)
  • 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, http://adminguide.stanford.edu




Job: Information Analytics

Location: School of Medicine
Schedule: Full-time
Classification Level:

To be considered for this position please visit our web site and apply on line at the following link: stanfordcareers.stanford.edu

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.




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