Bioinformatician/Research Data Analyst 1

Situated in a highly dynamic research environment within Stanford University School of Medicine and the Stanford Cancer Institute, the successful candidate will join a small, collaborative group of staff scientists embedded within the Curtis Lab, working at the intersection of cancer genomics, computational biology, and clinical translation. While the group works closely together and with graduate student and postdoctoral trainees, this role is expected to operate with a high degree of independence and take ownership of analytical projects from conception through to completion.

The primary focus of this role is the aggregation, annotation, and analysis of cancer genomics/functional genomics data, with emphasis on pediatric osteosarcoma but extension to other genomically unstable tumors (including breast and gastrointestinal). A central goal of this work is to improve risk stratification and tumor subtyping and build towards more personalized therapeutic strategies with the longer-term aim of informing clinical decision-making. The osteosarcoma component in particular involves a distinctive multi-species comparative dimension -- spanning human patients, canine patients, and mouse and organoid models -- offering a unique opportunity to identify conserved genomic features and accelerate biological insight.

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.

* - Other duties may also be assigned.

DESIRED QUALIFICATIONS:

• Prior experience studying genome instability, structural variant signatures, or copy number evolution in a cancer context.
• Experience with multi-species or comparative genomics analyses.
• Experience with single-cell and/or spatial omics data analysis.
• Familiarity with workflow management systems (e.g., Snakemake, Nextflow, WDL).
• Experience with or interest in clinical translation or biomarker development in a research setting.
• Experience with computational histopathology or integration of imaging data with genomics.

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor's degree or a combination of education and relevant experience in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field. Experience may be from academic or industry settings.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

• NGS data.
• Proficiency in Python and/or R for data analysis and pipeline development.
• Experience working in a Linux/HPC environment, including job scheduling with Slurm or equivalent.
• Ability to work independently, manage multiple priorities, and drive projects forward with minimal supervision.
• Strong written and verbal communication skills in English. Substantial experience with MS Office and analytical programs.
• 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
• Job Code: 4751
• Employee Status: Regular
• Grade: G
• Requisition ID: 108698
• Work Arrangement : On Site