Bioinformatician/Research Data Analyst
Situated in Stanford’s highly dynamic research environment the Curtis Laboratory (http://med.stanford.edu/curtislab.html), led by Christina Curtis, PhD, is seeking a bioinformatician/Research Data Analyst 3 to join the Cancer Computational and Systems Biology group. The Curtis Laboratory is administratively situated within the Stanford Cancer Institute and is integrated within Stanford University and the School of Medicine’s Departments of Medicine (Oncology) and Genetics. Our research couples state-of-the-art computational and experimental techniques to characterize the evolutionary dynamics of tumor progression, to delineate the genotype-phenotype map in cancer and to define novel therapeutic targets and biomarkers.
The successful candidate will be part of an interdisciplinary research team developing novel technological and methodological approaches to improve the diagnosis, treatment and earlier detection of cancer. He/she will apply and develop bioinformatics and statistical methods to analyze and interpret high-throughput ‘omic’ data, including whole genome/exome sequencing, RNA-seq, ATAC-seq, single cell, and circulating tumor DNA (ctDNA) data from patient samples and human organoids. A unifying theme of our research is to exploit ‘omic’ data derived from clinically annotated samples in robust computational frameworks coupled with iterative experimental validation in order to advance a systematic understanding of tumor progression. The candidate will contribute to extending our established tumor evolutionary dynamic framework and developing methods to understand adaptation during somatic evolution. The successful candidate will interact closely with other computational scientists, population geneticists, experimental biologists and clinicians to test, validate, and refine hypotheses. This is a fantastic opportunity for a motivated bioinformatician, computational genomicist to join a dynamic team with significant opportunities for scholarship and leadership.
- Lead and own organization-wide data initiatives (e.g. models, frameworks, platforms, dashboards).
- Supervise, coach and mentor a high-performing team of analysts.
- Identify, leverage and partner with external firms.
- 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.
- Work directly with the experimental lab members to analyze biomedical data and address scientific problems with bioinformatics techniques and tools and train researchers in the use of computational and bioinformatics tools.
- Design, develop, and operate computational pipelines for the analysis of next-generation sequencing data
- Analyze data sets to discover and annotate mutations in tumor specimens and laboratory models
- Evaluate performance of novel technology platforms and assays.
- Develop, refine, and improve bioinformatics tools for interpretation of large genomic data sets.
- Evaluate and test third party software packages.
- Manage and archive large data sets from next-generation sequencing experiments.
- Install and maintain software and data.
- Maintain detailed records of all analyses.
- Present results and progress updates at lab meetings and make presentations to experimental and scientific collaborators.
- Attend seminars, lectures, and training courses to learn new computational biology skills to remain up to date with the cancer genomics field and learn new programming languages or techniques as necessary.
* - Other duties may also be assigned
- Expertise in bioinformatics, computational genomics, evolutionary biology, accompanied by a relevant publication record.
- Proficiency with high performance computing and multiple programming languages (C, Python, R).
- Experience with high-throughput genome sequence data (WES, WGS, RNA-seq, ATAC-seq)
- A background in evolutionary biology and familiarity with phylogenetics techniques.
- Experience with high-performance computing, database management.
EDUCATION & EXPERIENCE (REQUIRED):
- Bachelor's degree and five years or more of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
- Ability to direct the work of others, for jobs requiring supervision.
- Relevant subject matter knowledge.
- Substantial experience with MS Office and analytical programs.
- Excellent writing and analytical skills.
- Ability to prioritize workload.
- 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.
Some work may be performed in a laboratory or field setting.
- 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.
- Schedule: Full-time
- Job Code: 4753
- Employee Status: Regular
- Grade: K
- Requisition ID: 82424