Job Information
Stanford University Research Data Analyst (Onsite) in Stanford, California
Research Data Analyst (Onsite)
School of Medicine, Stanford, California, United States
New
Information Analytics
Post Date 2 days ago
Requisition # 108696
Curtis Lab – Research Data Analyst (Onsite Work Arrangement)
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*:
Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.
Determine additional data collection and reporting requirements.
Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.
Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.
Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
Serve as a resource for non-routine inquiries such as requests for statistics or surveys.
Test prototype software and participate in approval and release process for new software.
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 with at least 4 years of relevant experience, or Master’s degree with at least 2 years of 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):
Demonstrated experience in cancer genomics, including analysis of somatic alterations (SNVs, CNVs, and/or SVs) from 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.
The expected pay range for this position is $108,002 to $128,138 per annum.
Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. 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.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form .
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.
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Additional Information
Schedule: Full-time
Job Code: 4752
Employee Status: Regular
Grade: I
Requisition ID: 108696
Work Arrangement : On Site