pSituated in Stanford#39;s highly dynamic research environment, The Kalbasi Lab studies the interface between cancer and the immune system to gain new insights that will inform advances in cancer immunotherapy and radiation therapy.. The lab has a special interest in T cell therapies (CAR-T, TCR-T, TIL) and cytokine therapies, and a disease focus on sarcoma, melanoma and other solid tumors. To achieve this goal, the Kalbasi lab is by necessity versatile and multidisciplinary. The lab integrates cell and protein engineering, T cell immunology, cancer biology, cell signaling, genomics and early phase clinical trials. Each of these approaches has the potential to generate large datasets that require computational analytic approaches. This includes genomic sequencing data (RNA-seq, ATAC-seq, TCR-seq, CITE-seq, whole exome-seq), including bulk and single cell approaches, proteomic data (e.g. phosphoproteomics, cytokine data), and some clinical data. The lab also seeks to employ AI and machine learning approaches for protein design./ppThe Kalbasi Laboratory is seeking a Computational Biologist /Bioinformatician/Research Data Analyst 1 to manage and analyze high throughput next generation sequencing data from samples acquired from laboratory experiments, clinical trials of cancer patients, and//or publicly available data, as well as to participate in new protein design strategies using emerging AI-tools./ppThe Kalbasi laboratory is administratively situated within the Stanford University School of Medicine’s Department of Radiation Oncology and the Stanford Cancer Institute. As an NCI-designated Comprehensive Cancer Center the Stanford Cancer Institute is a dynamic and stimulating place to work as it maintains the highest level of scientific rigor, institutional support and coordination for the complete range of cancer-related research, including basic, translational, clinical and population-based science./ppstrongDuties include:/strong/pulliCollect, manage and clean datasets./liliEmploy new and existing tools to interpret, analyze, and visualize multivariate relationships in data, and for protein design./liliCreate databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements./liliUse 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./liliDevelop reports, charts, graphs and tables for use by investigators and for publication and presentation./liliAnalyze data processes in documentation./liliCollaborate with faculty and research staff on data collection and analysis methods./liliProvide documentation based on audit and reporting criteria to investigators and research staff./liliCommunicate with government officials, grant agencies and industry representatives./li/ulpem* - Other duties may also be assigned/em/ppstrongDESIRED QUALIFICATIONS:/strong/pulliBachelor#39;s, MS, or PhD degree in Bioinformatics, Computation Biology or Computer Science or a related field with two years of relevant experience./liliStrong background in bioinformatics and biostatistics, including experience with analysis of next-generation sequencing data. /liliIdeal candidates will also have experience with machine learning/AI tools, and experience with or interest in protein design./liliExperience and comfort in working within a UNIX/Linux environment./liliBackground in programming languages such as Python, R, Matlab, Perl./liliGood communication and team skills and fluency in both spoken and written English./liliKnowledge of techniques for analyzing tumor purity and clonal heterogeneity./liliA background in oncology and/or immunology is preferred. /liliKnowledge of Monte Carlo based statistical methods./liliBackground in cancer biology./liliFamiliarity with predictive modeling and machine learning./liliSkills in machine learning and data analysis software./li/ulpbr /strongEDUCATION amp; EXPERIENCE (REQUIRED):/strongbr /Bachelor#39;s degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering./ppbr /strongKNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):/strong/pulliSubstantial experience with MS Office and analytical programs./liliStrong writing and analytical skills./liliAbility to prioritize workload./li/ulpbr /strongPHYSICAL REQUIREMENTS*:/strong/pulliSitting in place at computer for long periods of time with extensive keyboarding/dexterity./liliOccasionally use a telephone./liliRarely writing by hand./li/ulpi* - 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./ibr /br /strongWORKING CONDITIONS:/strong/ppSome work may be performed in a laboratory or field setting./ppstrongWORK STANDARDS:/strong/pulliInterpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations./liliPromote 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./liliSubject 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#39;s Administrative Guide, http://adminguide.stanford.edu./li/ulpiThe expected pay range for this position is $80,148 to $99,773 per annum. /ibr /iStanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. 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./i/ppiAt Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (/iihttps://cardinalatwork.stanford.edu/benefits-rewards/ii) provides detailed information on Stanford#39;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./i/ppiConsistent 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 at /[email protected]/ii. For all other inquiries, please submit a /iicontact form/ii./i/ppiStanford 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./i/ppiConsistent 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 the job./i/p