Bioinformatician/Research Data Analyst 1

Stanford University; Stanford (CA); On-site; USD 82,000 - 107,000; Full time

Job summary

An established industry player is seeking a talented Bioinformatician/Research Data Analyst to join a dynamic lab focused on cancer and immune system research. This role involves managing high-throughput sequencing data, utilizing AI for protein design, and collaborating on innovative cancer therapies. The ideal candidate will have a strong background in bioinformatics and biostatistics, with proficiency in programming languages like Python and R. Join a forward-thinking team dedicated to advancing cancer immunotherapy and making a significant impact in the field. Comprehensive benefits and a supportive environment await you.

Benefits

Comprehensive benefits

Accommodations for applicants with disabilities

Equal opportunity employer

Qualifications

• Bachelor's, MS, or PhD in Bioinformatics or related field with two years of relevant experience.
• Strong background in bioinformatics and biostatistics, with experience in next-generation sequencing.

Responsibilities

• Manage and analyze high-throughput sequencing data from lab experiments and clinical trials.
• Interpret and visualize multivariate data relationships using AI tools.

Skills

Bioinformatics

Biostatistics

Next-generation sequencing data analysis

Machine learning/AI tools

Python

R

Matlab

Perl

Communication skills

Teamwork

Education

Bachelor's degree in Bioinformatics or related field

MS or PhD in Bioinformatics or related field

Tools

UNIX/Linux

MS Office

Analytical software

Job description

Bioinformatician/Research Data Analyst 1

Join to apply for the Bioinformatician/Research Data Analyst 1 role at Stanford University.

Situated 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, focusing on sarcoma, melanoma, and other solid tumors. The lab integrates cell and protein engineering, T cell immunology, cancer biology, cell signaling, genomics, and early phase clinical trials, generating large datasets requiring computational analysis, including genomic sequencing data, proteomic data, and clinical data. The lab also employs AI and machine learning for protein design.

The Kalbasi Laboratory is within the Stanford University School of Medicine’s Department of Radiation Oncology and the Stanford Cancer Institute, a comprehensive cancer center supporting diverse cancer research.

Duties Include

• Manage and analyze high-throughput sequencing data from lab experiments, clinical trials, and public datasets.
• Interpret, analyze, and visualize multivariate data relationships and assist in protein design strategies using AI tools.
• Create databases, develop algorithms, statistical models, and perform analyses for reporting and publication.
• Identify data issues, correct errors, and analyze root causes, suggesting solutions.
• Develop reports, charts, graphs, and tables for investigators and publications.
• Document data analysis processes and collaborate with research staff on data collection and analysis methods.
• Provide documentation and communicate findings to government officials, grant agencies, and industry partners.
• Perform other duties as assigned.

Desired Qualifications

• Bachelor's, MS, or PhD in Bioinformatics, Computational Biology, Computer Science, or related field with two years of relevant experience.
• Strong background in bioinformatics and biostatistics, with experience in next-generation sequencing data analysis.
• Experience with machine learning/AI tools and an interest in protein design is preferred.
• Proficiency with UNIX/Linux environments and programming languages such as Python, R, Matlab, Perl.
• Excellent communication and teamwork skills, fluency in English.
• Knowledge of tumor purity, clonal heterogeneity, oncology, immunology, and statistical methods like Monte Carlo simulations is a plus.

Education & Experience

Bachelor's degree or equivalent education and relevant experience in a quantitative discipline.

Knowledge, Skills, and Abilities

• Experience with MS Office and analytical software.
• Strong analytical and writing skills, ability to prioritize workload.

Physical Requirements

• Sitting at a computer for extended periods, keyboarding dexterity.
• Occasional use of telephone and rare hand writing.

Working Conditions

Some work may occur in laboratory or field settings.

Work Standards

• Ability to work well with colleagues and external partners.
• Commitment to safety and compliance with university policies.

The expected pay range is $82,468 to $106,256 per annum. Stanford offers comprehensive benefits, and accommodations are provided for applicants with disabilities. Stanford is an equal opportunity employer.