Bioinformatician/Research Data Analyst 1 (2 Year Fixed Term)
Stanford University
Application
Details
Posted: 15-Jan-23
Location: Stanford, California
Type: Full-time
Salary: Open
Internal Number: 97584
Situated in Stanford's highly dynamic research environment, the Kalbasi Laboratory is seeking a Computational Biologist/Bioinformatician/Research Data Analyst 1 (2 Year Fixed Term) to manage and analyze high throughput next generation sequencing data from samples acquired from cancer patients (or publicly available data), as well as data from laboratory experiments. The Kalbasi laboratory is a translational laboratory with an interest in advancing the immunotherapeutic treatment of solid tumors, with a disease emphasis on sarcoma. The lab also has vested interest in understanding the immunologic basis of response and resistance to radiation therapy, a widely used therapeutic tool in sarcoma and cancer care. Strengths of the Kalbasi lab include access to valuable clinical samples (including from clinical trials), extensive experience with laboratory models to study cancer-immune interactions, access to and experience with synthetic biology tools, and multi-disciplinary expertise spanning immunology, cancer biology and radiation therapy.
The Kalbasi laboratory is administratively situated within the Stanford University School of Medicine's Department of Radiation Oncology and the Stanford Cancer Institute. As an NCI-designated Comprehensive Cancer Center the Stanford Cancer Institute is a dynamic and stimulating place to work as it maintains the highest level of scientific rigor, institutional support and coordination for the complete range of cancer-related research, including basic, translational, clinical and population-based science.
Duties include:
Collect, manage and clean datasets.
Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
Analyze data processes in documentation.
Collaborate with faculty and research staff on data collection and analysis methods.
Provide documentation based on audit and reporting criteria to investigators and research staff.
Communicate with government officials, grant agencies and industry representatives.
* - Other duties may also be assigned
DESIRED QUALIFICATIONS:
Bachelor's, MS, or PhD degree in Bioinformatics, Computation Biology or Computer Science or a related field with two years of relevant experience.
Strong background in bioinformatics and biostatistics, including experience with analysis of next-generation sequencing data.
Experience and comfort in working within a UNIX/Linux environment.
Background in programming languages such as Python, R, Matlab, Perl.
Good communication and team skills and fluency in both spoken and written English.
Knowledge of techniques for analyzing tumor purity and clonal heterogeneity.
A background in oncology and/or immunology is preferred.
Knowledge of Monte Carlo based statistical methods.
Background in cancer biology.
Familiarity with predictive modeling and machine learning.
EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
Substantial experience with MS Office and analytical programs.
Strong writing and analytical skills.
Ability to prioritize workload.
Skills in machine learning and data analysis software.
PHYSICAL REQUIREMENTS*:
Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
Occasionally use a telephone.
Rarely writing by hand.
* - 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:
Some work may be performed in a laboratory or field setting.
WORK STANDARDS:
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.
The expected pay range for this position is $64,000 to $93,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
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?
