Desired Qualifications:

• MS in Computational Biology, or other quantitative field plus 1-2 years experience or equivalent

• Application of causal network modeling approaches such as Bayesian probabilistic graphical models or deep learning

• Knowledge and application of survival analysis in the context of high-dimensional data

• Hands-on experience using and applying spatial analysis methods for spatial transcriptomics (e.g. Visium) and proteomic (e.g. cycIF, CODEX, MIBI) analysis of cancer tissues

• Experience with processing and analyzing data from blood-based assays such as circulating tumor DNA

• Building web-based resources in R/Shiny

• Expertise in biology-driven projects and a background in contributing to peer-reviewed publications

• Ability to work independently under overall guidance and prioritize projects as needed

• Prior experience working on cancer-related datasets, particularly in relation to immunotherapy response

• Familiarity with analysis of longitudinal (time series) data in relation to outcomes

• Experience analyzing and interpreting genomic and proteomic data such as CyTOF, CODEX, and single-cell RNA-seq
• Familiarity with machine learning/algorithms/computational methods such as sparse methods for regression such as lasso, elastic net, random forests; logistical and Cox regression; longitudinal (time series) data

• Experience in Unix/Linux computing environments including high performance clusters and cloud compute (e.g. AWS) and relevant programming languages such as Python and R
• Excellent oral and written communication skills with a strong interest in underlying science, not just in running pipelines

Education & Experience (Required):

• Bachelor's degree and three years 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):

• Substantial experience with MS Office and analytical programs.

• Excellent writing and analytical skills.

• Ability to prioritize workload.

Physical Requirements*:

• Sitting in place at a 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.

• Due to the nature of the work, this position will be fully onsite.

The expected pay range for this position is $104,358 to $128,038 per annum.

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.

Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:

• Freedom to grow. We offer career development programs, tuition reimbursement, or course auditing. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.

• A caring culture. We provide superb retirement plans, generous time-off, and family care resources.

• A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.

• Discovery and fun. Stroll through historic sculptures, trails, and museums.

• Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more

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.