The Sean N. Parker Center for Allergy and Asthma Research at Stanford University is looking for Biostatistician 2. With some independence, the incumbent will consult with investigators to refine research questions, define hypotheses, design studies and devise analysis plans. Work with senior statistician(s) to implement analysis plan and publish findings. Present results orally to clinical investigators. Provide guidance to clinical investigators on design and analysis issues. The Sean N. Parker Center for Allergy and Asthma Research is the first center of its kind, aiming to not only to find better treatments for children and adults with allergies and asthma, but to discover underlying immune mechanisms against the diseases and develop a lasting cure. To learn more about the Sean N. Parker Center please visit med.stanford.edu/allergyandasthma
Develop and implement protocol for quality control.
Help develop funding applications and research protocols
Contribute to proposal and budget development
Perform sample size/power calculations
Author statistical analysis plans
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.
Comply with all institute policies and SOPs as well as regulatory requirements for the programming, analysis and reporting of research projects (e.g. FDA, EMEA, TGA etc)
* - Other duties may also be assigned
Strong background in machine learning, biostatistics and bioinformatics
Experience with analysis of sequencing data
Manipulation and analyses of complex high-dimensional data
Demonstrated ability to implement machine learning models in scalable format for broad applicability
Strong communication and presentation skills
Experience performing biostatistical analyses, including categorical, longitudinal and survival data; SAS, STATA, and/or R programming; technical/scientific writing for medical publications to describe results and statistical methods required.
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 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/ 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.
Job Family: Information Analytics Job Series: Biostatistician Job Code: 5522 Grade: I Exemption: Exempt Schedule: Full-time
Location: School of Medicine, California, United States Schedule: Classification Level:
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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Located between San Francisco and San Jose in the heart of Silicon Valley, Stanford University is recognized as one of the world's leading research and teaching institutions. Leland and Jane Stanford founded the University to "promote the public welfare by exercising an influence on behalf of humanity and civilization." Stanford opened its doors in 1891, and more than a century later, it remains dedicated to finding solutions to the great challenges of the day and to preparing students for leadership in a complex world. The University's thriving diverse community is comprised of nearly 7000 undergraduate students, 9000 graduate students, 2000 faculty members, 1900 postdoctoral scholars, and over 11,000 academic and administrative staff in seven schools including several interdisciplinary research centers and institutes. The campus spreads over 8000 contiguous acres and nearly all undergraduates live on campus. Stanford offers bachelor's and master's degrees in addition to doctoral degrees (PhD, MD, DMA and JD) plus a number of professional and continuing education programs and certifications. More at http://facts.stanford.edu and http://www.stanford.edu.Stanford University is an eq...ual opportunity employer and is committed to increasing the diversity of its faculty. It welcomes nominations of and applications from women, members of minority groups, protected veterans and individuals with disabilities, as well as from others who would bring additional dimensions to the university’s research, teaching and clinical missions.