Bioinformatics Data Analyst – Genomics & Metagenomics

Abundance Network; United States; On-site; USD 108,000 - 128,000; Full time

Job summary

Stanford University’s Department of Biomedical Data Science seeks a Bioinformatician for a 100% FTE at the Salzman lab to run new algorithms and develop reproducible analytical pipelines for high-throughput data such as DNA-seq and RNA-seq from metagenomics and transcriptomics.

The successful candidate will work in a collaborative environment, apply state-of-the-art methods, and contribute to data integration and publication-ready analyses with strong programming and statistical skills.

Qualifications

• Four-year college degree in bioinformatics, biostatistics, computational biology, computer science, or similar, with a strong publication record.
• Alternatively, a PhD in one of the aforementioned fields (or similar) combined with a very strong record of data analysis.
• Working knowledge and a solid understanding of biological principles, metagenomics, bioinformatics terminology, and common sequence alignment programs (eg. Bowtie).
• An understanding of the statistical principles behind current best practices in high-throughput molecular data analysis.
• Strong experience in the use of a high-level programming language such as R, MATLAB, Python or Perl for complex data analysis.
• Ability to generate novel pipelines to analyze unique types of data.
• Proficiency with Unix systems and queuing systems (e.g. SLURM).
• Familiarity with reproducible computing research paradigms including Docker.

Responsibilities

• Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.
• Determine additional data collection and reporting requirements.
• Design and customize reports based upon data in the database.
• Oversee and monitor regulatory compliance for utilization of the data.
• Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.
• Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
• Serve as a resource for non-routine inquiries such as requests for statistics or surveys.
• Test prototype software and participate in approval and release process for new software.

Skills

R

Python

MATLAB

Perl

Statistics

Unix/Linux

Data analysis

Reproducible computing

Education

Bachelor's degree + 3 years experience

PhD in a relevant field

Tools

Bowtie

Docker

SLURM

Job description

Stanford University’s Department of Biomedical Data Science seeks a Bioinformatician for a 100% FTE at the Salzman lab to run new algorithms and develop reproducible analytical pipelines for high-throughput data such as DNA-seq and RNA-seq from metagenomics and transcriptomics.

The successful candidate will work in a collaborative environment, apply state-of-the-art methods, and contribute to data integration and publication-ready analyses with strong programming and statistical skills.