Khatri lab in the Center for Biomedical Informatics Research (BMIR) and the Institute for Immunity, Transplantation and Infection (ITI) at Stanford School of Medicine is seeking highly motivated individuals for multi-disciplinary research in computational and systems immunology. The individuals will be involved in projects that will utilize diverse cohorts generated using state-of-the-art technologies across a multitude of diseases. These individuals will work in collaboration with, work under the supervision of, and lead teams of postdocs and graduate students focused on immunological diseases. The Biostatistician will consult with investigators to define and refine research questions, hypotheses, design studies and devise analysis plans, mentor clinical investigators on relevant research methods, and work with both senior and junior members of the lab to implement and supervise analysis plans and publish the findings.
At BMIR and ITI we develop cutting-edge ways to acquire, represent, and process information about human health. In order to handle the ever increasing amounts of data in healthcare and biomedical research, our faculty, students, and staff investigate and create novel computational, statistical, organizational, and decision-making methods. Our research advances the state of the art in semantic technology, biostatistics, and the modeling of biomedical systems to benefit clinical and translational research as well as patient care.
Duties include:
Oversee lower-level staff on quality control.
Oversee lower-level staff on creation of analytic files.
Identify appropriate statistical tools for analysis.
Implement data analysis through statistical programming.
Consult with investigators and others on appropriate statistical approaches to data analyses; assist in study design.
Develop oral and written dissemination of findings for conference presentations and peer-reviewed journal articles.
* - Other duties may also be assigned
DESIRED QUALIFICATIONS:
Strong background in machine learning, biostatistics and bioinformatics.
Proficient in R and Python.
Extensive experience in single cell epigenome: analysis, normalization, interpretation, methods development.
Experience in modeling, analysis of biological pathways, and development of novel investigation methods.
Experience in drug repurposing/discovery.
Experience with retrieval and analysis of electronic medical records.
Experience with analysis of sequencing data.
Experience in the analysis of data describing rare diseases, with focus on autoimmune diseases (e.g. Systemic Sclerosis, Idiopathic Pulmonary Hypertension).
Experience with transplant immunology.
Experience in the analysis of single cell data.
Manipulation and analyses of complex high-dimensional data.
Experience with analysis of high-throughput antigen profiling data.
Programming (python, R, Java, C++), database (Postgres, MySQL, Oracle), and web development tools.
Experience with deep learning approaches.
Experience in High Performance Computing (CUDA, multi-threaded applications).
Demonstrated ability to implement machine learning models in scalable format for broad applicability.
Strong communication and presentation skills.
Must have basic understanding of wet lab techniques (PCR, Western Blot, cell cultures)
EDUCATION & EXPERIENCE (REQUIRED):
Master's degree in biostatistics, statistics or related field and three years of experience or Ph.D. in biostatistics, statistics, computer science, bioinformatics or related field.
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).
PHYSICAL REQUIREMENTS*:
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.
WORKING CONDITIONS:
May work extended or non-standard hours based on project or business cycle needs.
WORKING STANDARDS:
Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and collaborators 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/.
Why work at Stanford?Stanford University has changed the world, over and over again.We are one of Silicon Valley's largest employers - and also one of the most unique. Our mission is to educate future leaders and promote interdisciplinary, world-class research and teaching. This passion makes Stanford an intensely creative, rewarding, and challenging place to work. At the same time, our traditions of respect and collaboration sustain a humane, supportive environment in which to pursue your life and your career.At Stanford you'll work with bright, diverse, dedicated people. You'll find encouragement to learn and grow. You'll enjoy excellent benefits and an outstanding environment. How will it change you?
