The Quantitative Sciences Unit (QSU) is an interdisciplinary collaborative statistics unit in the Biomedical Informatics Research Division within the Department of Medicine at Stanford University. The mission of the QSU is to facilitate cutting-edge scientific studies initiated by Stanford investigators by providing expertise in biostatics and informatics, to mentor and educate clinical investigators in research methods and to mentor data scientists. To optimally achieve this mission, the QSU members become fully integrated into individual research teams.
The QSU is looking for an Assistant Director of Computational Biology to lead and further build our computational biology team. Working closely with other researchers and data scientists in our QSU organization, the candidate will lead the application-and inform the development-of the state-of-the-art computational biology program within the QSU. We are seeking a highly motivated, hard-working and professional computational biology data scientist and leader to further build our team of collaboration with clinical, immunological and basic science researchers. We generate and have access to clinical and immunological data as well as many large data sets, including mass cytometry (CyTOF) and single cell and bulk sequencing data (e.g. RNA-Seq, ATAC-Seq). The successful candidate will join a vibrant team of academic data scientists and statisticians working on a wide variety of collaborative projects in medicine. The successful candidate will provide the high-level strategy for the computational and analytical framework and execution within the QSU organization. This position holds excellent career development opportunities. This is a senior academic staff position.
Build and oversee the QSU's Computational Biology program
Lead computational biology studies to address important biomedical questions including: designing the study, the analysis plan and carrying out the statistical programming and data management to implement the plan.
Lead methodological projects to contribute to the development of novel computational biology tools necessary for collaborative research.
Oversee a team of both senior-level and junior-level data scientists on the creation of pipelines, the cleaning and management of data, the design and analysis of complex studies, and the mentorship of data scientists in the area of conducting collaborative computational biology research.
Collaborate with clinical and lab-based investigators on campus including the Heart Center, the Department of Medicine, the Department of Neurosurgery, and the Stanford Cancer to independently design studies and develop analysis plans. More specifically, the incumbent will meet one-on-one with the collaborator to gain background on the study and the research questions and help to refine the questions and formulate the hypotheses. The incumbent will also extract necessary information to design the study with optimal operating characteristics and to develop a sound analysis plan.
Develop oral and written dissemination of findings for meetings with collaborators or for medical and/or statistical journal articles. The incumbent is also expected to develop lectures on statistical methods or statistical programming for the training of clinical investigators as needed and for the training of junior biostatisticians. In addition, the incumbent will participate in developing and writing grant proposals.
Ph.D. in Computational Biology, Biostatistics, Statistics, Bioinformatics or related field.
Capable of functioning independently and collaboratively at an advanced level under the overall direction of the QSU Director.
Experience with multiple programming languages such as Python and R.
Outstanding oral and written communication skills with the ability to communicate technical information to all audiences.
Skilled in descriptive analysis, modeling of data, and graphic interfaces.
Demonstrated expertise in analytic tools.
At least five years of experience collaborating as a computational biologist or biostatistician is desirable.
Experience supervising technical staff including training, mentoring and coaching.
Experience developing and writing grant proposals.
Experience in single cell data analyses and integrative multi-omics approaches is a strong plus.
A background in immunology and experience working with clinical trial data will be a plus and will help in the development of independent research projects.
Why Stanford is for You: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:
Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
Discovery and fun. Stroll through historic sculptures, trails, and museums.
Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more.
Stanford is an equal employment 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 welcomes applications from all who would bring additional dimensions to the University's research, teaching and clinical missions.
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.