The Kalbasi Lab at Stanford University's School of Medicine is seeking a Computational Biologist /Bioinformatician/Research Data Analyst to manage and analyze high throughput next generation sequencing data and to participate in new protein design strategies using emerging AI-tools. The lab studies the interface between cancer and the immune system, generating large datasets from genomics, proteomics, and clinical trials that require computational analytic approaches.
Requirements
- Strong background in bioinformatics and biostatistics, including experience with analysis of next-generation sequencing data
- Experience with machine learning/AI tools
- 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
- Knowledge of techniques for analyzing tumor purity and clonal heterogeneity
- Familiarity with predictive modeling and machine learning
Responsibilities
- 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
- Participate in new protein design strategies using emerging AI-tools
- 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
Other
- Bachelor's, MS, or PhD degree in Bioinformatics, Computation Biology or Computer Science or a related field with two years of relevant experience.
- Good communication and team skills and fluency in both spoken and written English.
- A background in oncology and/or immunology is preferred.
- Background in cancer biology.
- Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
