Bioinformatician/Research Data Analyst

$132,369 - $160,981/Yr

Stanford University - Stanford, CA

Full-time - Mid Level

Stanford, CA

Educational Services

About the position

The Bioinformatician/Research Data Analyst position at Stanford University involves working within the Curtis Laboratory, part of the Cancer Computational and Systems Biology group. The role focuses on analyzing and interpreting large sequencing datasets to improve cancer diagnosis, treatment, and detection. The successful candidate will collaborate with a multidisciplinary team, utilizing bioinformatics and statistical methods to drive research in cancer biology.

Responsibilities

• Lead and own organization-wide data initiatives such as models, frameworks, platforms, and dashboards.
• Supervise, coach, and mentor a high-performing team of analysts.
• Identify, leverage, and partner with external firms.
• Prioritize and extract data from various sources, ensuring its accuracy and completeness.
• Determine additional data collection and reporting requirements, designing and customizing reports based on database data.
• Oversee and monitor regulatory compliance for data utilization.
• Use system reports and analyses to identify and correct problematic data.
• Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
• Test prototype software and participate in the approval and release process for new software.
• Provide documentation based on audit and reporting criteria to investigators and research staff.
• Work with lab members to analyze biomedical data and address scientific problems using bioinformatics techniques.
• Design, develop, and operate computational pipelines for sequencing data analysis.
• Install, maintain, and evaluate third-party software packages.
• Manage and archive large datasets from next-generation sequencing experiments.
• Maintain detailed records of all analyses.
• Present results and progress updates at lab meetings and to scientific collaborators.
• Attend seminars, lectures, and training courses to learn new bioinformatics skills.

Requirements

• Bachelor's degree (or higher) in Bioinformatics, Computer Science, or a related field with two years of relevant experience.
• PhD in a bioinformatics-related field.
• Strong background in bioinformatics and biostatistics, including analysis of high-throughput sequencing data.
• Experience working within a UNIX/Linux environment.
• Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL.
• Excellent communication and team skills, fluency in both spoken and written English.
• Familiarity with machine learning, information theory, and signal processing.
• Experience with algorithm development.
• Familiarity with basic molecular biology and cancer biology.
• Expertise in bioinformatics, computational genomics, and evolutionary biology, accompanied by a relevant publication record.
• Proficiency with high-performance computing and multiple programming languages (C, Python, R).
• Experience with high-throughput genome sequence data (WES, WGS, RNA-seq, ATAC-seq).
• Background in evolutionary biology and familiarity with phylogenetics techniques.

Nice-to-haves

• Experience in a quantitative discipline such as economics, finance, statistics, or engineering.
• Substantial experience with MS Office and analytical programs.
• Ability to prioritize workload.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• 401k retirement plan
• Paid holidays
• Flexible scheduling
• Professional development opportunities
• Tuition reimbursement
• Employee discount programs