Bioinformatician/Research Data Analyst 1

Job title: Bioinformatician/Research Data Analyst 1

Company: Stanford University

Job description: Learn about our array of employee benefits and what makes Stanford life unique.Areas of WorkTogether, we’re working towards our collective future. Find your role by browsing our areas of work.☰Bioinformatician/Research Data Analyst 1New📁Information Analytics📅    8 hours ago Post Date📅    106164 Requisition #Apply for Job Share this Job Sign Up for Job AlertsSituated in Stanford’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.The 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.The 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.Duties include:

• Collect, manage and clean datasets.
• Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data, and for protein design.
• 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.
• Communicate with government officials, grant agencies and industry representatives.

• – Other duties may also be assigned

DESIRED QUALIFICATIONS:

• Bachelor’s, MS, or PhD degree in Bioinformatics, Computation Biology or Computer Science or a related field with two years of relevant experience.
• Strong background in bioinformatics and biostatistics, including experience with analysis of next-generation sequencing data.
• Ideal candidates will also have experience with machine learning/AI tools, and experience with or interest in protein design.
• Experience and comfort in working within a UNIX/Linux environment.
• Background in programming languages such as Python, R, Matlab, Perl.
• Good communication and team skills and fluency in both spoken and written English.
• Knowledge of techniques for analyzing tumor purity and clonal heterogeneity.
• A background in oncology and/or immunology is preferred.
• Knowledge of Monte Carlo based statistical methods.
• Background in cancer biology.
• Familiarity with predictive modeling and machine learning.
• Skills in machine learning and data analysis software.

EDUCATION & EXPERIENCE (REQUIRED):
Bachelor’s degree or a 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.
• Strong writing and analytical skills.
• 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,

.The expected pay range for this position is $82,468 to $106,256 per annum.
Stanford 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.At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) 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 at . For all other inquiries, please submit a .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.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 the job.Additional Information

• Schedule: Full-time
• Job Code: 4751
• Employee Status: Regular
• Grade: G
• Requisition ID: 106164
• Work Arrangement : Hybrid Eligible

My SubmissionsTrack your opportunities.Similar Listings School of Medicine, Stanford, California, United States📁 Information AnalyticsPost Date: Oct 04, 2024 School of Medicine, Stanford, California, United States📁 Information AnalyticsPost Date: 1 day ago School of Medicine, Stanford, California, United States📁 Information AnalyticsPost Date: Oct 04, 2024© Stanford University. All rights reserved.Global Impact
We believe in having a global impactClimate and SustainabilityStanford’s deep commitment to sustainability practices has earned us a Platinum rating and inspired a new school aimed at tackling climate change.Medical InnovationsStanford’s Innovative Medicines Accelerator is currently focused entirely on helping faculty generate and test new medicines that can slow the spread of COVID-19.TechnologyFrom Google and PayPal to Netflix and Snapchat, Stanford has housed some of the most celebrated innovations in Silicon Valley.Advancing EducationThrough rigorous research, model training programs and partnerships with educators worldwide, Stanford is pursuing equitable, accessible and effective learning for all.Working Here
We believe you matter as much as the workI love that Stanford is supportive of learning, and as an education institution, that pursuit of knowledge extends to staff members through professional development, wellness, financial planning and staff affinity groups.Nora CataSchool of EngineeringI get to apply my real-world experiences in a setting that welcomes diversity in thinking and offers support in applying new methods. In my short time at Stanford, I’ve been able to streamline processes that provide better and faster information to our students.Phillip ChengOffice of the Vice Provost for Student AffairsBesides its contributions to science, health, and medicine, Stanford is also the home of pioneers across disciplines. Joining Stanford has been a great way to contribute to our society by supporting emerging leaders.Denisha ClarkSchool of MedicineI like working in a place where ideas matter. Working at Stanford means being part of a vibrant, international culture in addition to getting to do meaningful work.Laura LindOffice of the President and ProvostGetting Started
We believe that you can love your jobJoin Stanford in shaping a better tomorrow for your community, humanity and the planet we call home.

• 4.2 Review Ratings
• 81% Recommend to a Friend

ResourcesResourcesEqual Opportunity and Disability AccommodationsConsistent 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 .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. See ; .Equal Opportunity and Disability AccommodationsConsistent 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 .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. See

Expected salary: $82468 – 106256 per year

Location: Stanford, CA

Job date: Thu, 27 Mar 2025 05:33:58 GMT

Apply for the job now!

[ad_2]