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Inside Higher Ed · 1 week ago

Bioinformatician/Research Data Analyst 1

Stanford, CA

Full-time

Hybrid

Entry Level

$80K/yr - $100K/yr

2+ years exp

Inside Higher Ed is seeking a Computational Biologist/Bioinformatician/Research Data Analyst 1 to join the Kalbasi Lab at Stanford University School of Medicine. The role involves managing and analyzing high throughput next generation sequencing data and participating in new protein design strategies using AI-tools.

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Responsibilities

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

Qualification

BioinformaticsNext-generation sequencingMachine learningProgramming PythonProgramming RProgramming MatlabProgramming PerlBiostatisticsData analysis softwareAnalytical skillsFluency in EnglishCommunicationTeam skillsWriting skills

Required

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

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

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

Preferred

Ideal candidates will also have experience with machine learning/AI tools, and experience with or interest in protein design

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

Benefits

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position.

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.