The Idoyaga Lab in the Department of Microbiology & Immunology at Stanford University School of Medicine (http://idoyagalab.stanford.edu) is seeking a Computational Biologist (Biostatistician 2) to join our lab and work on dendritic cells. The lab is taking an integrated and multidisciplinary approach to unravel the function and dysfunction of dendritic cells in the context of health and disease that includes the use of high-dimensional approaches such as mass cytometry (CyTOF), scRNAseq and ATACseq. The Computational Biologist will develop and apply state-of-the-art statistical and computational methods to interpret high-throughput proteomic, transcriptomic and epigenetic measurements from clinical samples and relevant mouse model systems. The Computational Biologist will also be responsible for maintaining in-house and established computational pipelines for high throughput omics analyses. The work will contribute to our overall mission of narrowing the gap between human and mouse dendritic cell biology to enable the development of dendritic cell-based therapeutics. We are looking for creative and passionate people at any stage of their careers, including senior computational biologists. The ideal candidate should have expertise in statistical methods of data analysis, fluency in standard programming and data analysis languages, interest in mentoring and training other lab members in computational biology and statistics, and knowledge of cell biology/immunology or related fields. The Computational Biologist will interact with experimental dendritic cell biologists to outline, test, validate and refine hypotheses, as well as devise new analysis plans. She/He will present results and progress updates, contribute to manuscript preparation, and will be expected to remain up to date on advances in immunology by attending seminars, journal clubs and reading relevant literature. The Idoyaga Lab upholds the highest professional standards while embracing and promoting a collaborative and diverse environment. We emphasize motivation, dedication to research, a team environment and training of lab members for their own career goals. The lab is part of the Microbiology and Immunology Program, the Immunology Program, the Stanford Cancer Institute, and the Chemistry, Engineering & Medicine for Human Health (ChEM-H) Institute. Stanford University and the Bay Area offer unique opportunities for scientific growth and interactions in a highly collaborative and dynamic environment.
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.
Suggested: PhD in computer science, biostatistics, computational biology or related field. Talented applicants of all levels are encouraged to apply.
Expected to have a strong background in genomic data (or other biologic large data set) analysis, biostatistics, bioinformatics or machine learning, and it should be accompanied by a relevant publication record.
Experience with analysis of sequencing data.
Manipulation and analyses of complex high-dimensional data.
Experience with deep learning approaches.
Experience as a data scientist.
Excellent problem-solving skills.
Experience with experimental technologies in immunology, e.g., flow cytometry, mass cytometry, sequencing. Background on dendritic cell biology is a plus.
Strong communication and presentation skills.
Experience mentoring and training other lab members in computational biology and statistics.
Creative and organized.
Highly motivated to work in a multi-disciplinary research environment with a team of enthusiastic scientists.
EDUCATION & EXPERIENCE (REQUIRED):
Master's degree in biostatistics, statistics, computational biology, bioinformatics 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.
Location: School of Medicine, Stanford, 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.