Bioinformatician

The Center of Regenerative Medicine at Washington University in St. Louis has 2 openings for bioinformaticians in our Bioinformatics Research Core.

We are seeking 2 talented, self-motivated Bioinformatics Scientists with a background in developing data processing pipelines and omics data analysis to support our collaborative research work conducted with numerous faculty in the Center of Regenerative Medicine and across Washington University. These individuals will apply computational techniques in analyzing large-scale genomics/epigenomic data, create data-driven models and data visualizations, write and prepare manuscripts and other materials for internal and external audiences, and assist in grant applications.

The successful candidates will join an internationally competitive scientific environment and is expected to work closely with colleagues in the Center of Regenerative Medicine and other departments at Washington University.

Primary Duties and Responsibilities

Designs, develops, and implements:

• Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.].
• Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets.
• Independent research projects, including design of research protocols and development of procedures for the collection, verification, and management of data.

Performs complex systems analysis of data and writes interpretative reports.

Evaluates commercial and academic bioinformatics software.

Trains other researchers on the everyday use of analysis software and research databases.

Assists with grant preparation and reporting of methods, data, and results.

Solves practical problems relating to difficulties with equipment or test subjects; suggests technical or procedural improvements in testing methods.

Preferred Qualifications

• Master’s degree or Ph.D. in computer science or related field highly preferred.
• Experience in the application of genomics data analysis, as well as the development of bioinformatics pipelines to deal with the analyses and interpretation of large omics data.
• Experience in single cell omics data analysis and machine learning.
• Analytical, reasoning, and problem-solving skills.
• Good understanding of computational biology, probabilistic models, statistics, machine learning, and discrete mathematics.
• Ability to analyze and interpret large complex data sets, such as genome sequences, microarray gene expression studies, human genetic studies, and model organism studies, and to communicate data in a clear, concise manner.
• Expertise in standard bioinformatics tools.
• Proficiency in scientific programming languages (e.g., Python, R, Perl, Java), in a UNIX/Linux and/or Windows environment.

Required Qualifications

Bachelor’s degree in computer science, bioinformatics, biostatistics, or related field plus four years of experience; OR master’s degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; OR combined education and experience of nine years.

Salary Range

$51,400.00 – $93,400.00 / Annually