Research - Laboratory/Non-Laboratory, Staff/Administrative
Job Number: 77225
A research lab in the Division of Biomedical Informatics Research and the Institute for Immunity, Transplantation and Infection at Stanford School of Medicine is seeking highly motivated individuals for multi-disciplinary research in computational immunology. The projects will utilize diverse cohorts generated using state-of-the-art technologies across one or more diseases. These individuals will work with, and lead teams of postdocs and graduate students focused on an immunological disease.
The Data Scientist (Biostatistician 2) will with some independence, 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.
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.
* - Other duties may also be assigned
PhD in immunology, computer science or biostatistics
Strong background in machine learning, biostatistics and bioinformatics
Experience with various experimental technologies in immunology including but not limited to flow cytometry, tetramer, and repertoire sequencing
Experience with analysis of sequencing data
Manipulation and analyses of complex high-dimensional data
Experience with deep learning approaches
Industry experience as a data scientist
Demonstrated ability to implement machine learning models in scalable format for broad applicability
Strong communication and presentation skills
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.
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.
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, 12000 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 is an equal empl...oyment opportunity and affirmative action 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. Stanford also welcomes applications from others who would bring additional dimensions to the University’s research, teaching and clinical missions.