The Stanford Division of General Surgery is committed to:
- Improving the value of healthcare through research that informs policy and implementation;
- Promoting a surgical health services research community through mentorship and collaboration;
- Developing innovative mixed methodologies.
Our interdisciplinary team includes clinical and research faculty with expertise in clinical surgery, translational surgical research, epidemiology, and health services research.
We are seeking a Biostatistician 2, at .75 FTE, to be with some independence, consult with investigators to refine research questions, define hypotheses, design studies and devise analysis plans. The Biostatistician will work with senior statistician(s) and principal investigators to implement analysis plan and publish findings. In addition, incumbent will present results orally to clinical investigators and provide guidance to clinical investigators on design and analysis issues.
- Design study.
- 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.
- 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.
- - Other duties may also be assigned
EDUCATION & EXPERIENCE (REQUIRED):
- Master's degree in biostatistics, statistics or related field and at least 3 years of experience.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
- Proficient in at least two statistical languages: 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 statistical methodology such as missing data, survival analysis, or informatics; disease and population modeling; natural language or computer image processing; supervised, unsupervised or reinforcement computer learning; statistical computing; geospatially explicit data analyses.
- Doctoral degree.
- Ability to work independently and collaboratively.
- Previous work experience in an academic institution, or academic hospital setting preferred.
- 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.
- May work extended or non-standard hours based on project or business cycle needs.
- 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.