Job Code: 4751
Job Grade: G

Stanford University, located between San Francisco and San Jose in the heart of California's Silicon Valley, is one of the world's leading teaching and research universities. Since its opening in 1891, Stanford has been dedicated to finding solutions to big challenges and to preparing students for leadership in a complex world.

The Genome Sequencing Service Center at the Stanford Center for Genomics and Personalized Medicine is seeking a Bioinformatician to manage and analyze large amounts of information, typically technical or scientific in nature, under the direction of project researchers, investigators, or managers. You will be part of a dynamic team and responsible for the sequencing data processing and delivery. 

Duties include:

• Collect, manage and clean datasets.
• 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.
• Design, develop, and manage bioinformatics pipelines for Next-Generation Sequencing data from various platforms and propose methods to streamline data analysis.
• Make code changes following software development best practices such as source control, regression testing, and code reviews.
• Be responsible for data processing from Center’s high throughput sequencing lab (Illumina and PacBio platforms).
• Regularly update LIMS, and websites to enhance sequencing center operations.
• Implement systems for tracking, analyzing, and reporting on sequencing center operations.
• Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
• Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
• Work with colleagues in the lab to analyze the whole genome, exome, RNA seq data and assess data quality.
• Troubleshoot poor quality data arising from biological issues or analysis artifacts.
• Collaborate with faculty and research staff on data collection and analysis methods.
• Communicate the data processing results to researchers in a helpful and timely fashion, and provide answers to technical questions through 1-on-1 communication and written documentation.
• Write scripts for liquid handling robotic devices.
• Work with other internal, other core services, and external groups to streamline processes related to sample submission, processing, billing, and data management.
• Communicate with government officials, grant agencies, industry representatives, and present research data at conferences.
• Lead bi-monthly drop-in consulting sessions to assist other labs in selecting the appropriate core services.

* - Other duties may also be assigned.

DESIRED QUALIFICATIONS:

• Advanced degree in Biology, Computational Biology, Bioinformatics or related field is preferred.
• Technical expertise in genetics, molecular biology, or bioinformatics.
• Experience with genomics laboratory techniques.
• Experience with relational databases.
• Experience working in academic environments.
• Experience with user support.

EDUCATION & EXPERIENCE (REQUIRED):

• Bachelor's degree or a combination of education and relevant experience.
• Experience in a quantitative discipline such as 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.

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.

Additional Information

• Schedule: Full-time
• Employee Status: Regular
• Requisition ID: 77506