[Hiring] Computational Bioinformatics Analyst @Sanford Health

Role Description

The Computational Bioinformatics department is involved in captivating projects that span both clinical and research domains, all centered around precision medicine in patient care. These projects require collaborative work with cross-functional teams to develop a comprehensive approach to project implementation.

• Implement genetic testing panels that are directly applicable to patient care.
• Advance education, knowledge, and research in the field of genomics.
• Provide support in computational analysis of or the logical and technical processes necessary for building analyses of:
  • Phenome
  • Metabolome
  • Glycome
  • Lipidome
  • Infamome
  • Transcriptome
  • Epigenome
  • Genome
• Integrate analyses with electronic medical record platforms.
• Establish data analysis plans for each project, project tracking, outcome monitoring, statistical validation and analysis, and manuscript generation.
• Conduct gene pathway analysis and understand data storage.
• Write standard operating procedures (SOPs) for clinical tests and valid documentation.
• Develop computational services, perform quality analysis on genetic test results, and generate reports for review.
• Provide statistical and computational tools for biologically based activities, such as:
  • Genetic analysis
  • Measurement of gene expression
  • Gene function determination
• Critically evaluate existing bioinformatics tools and statistical learning methods.
• Ensure data integrity, traceability, accuracy, and security throughout the analysis pipeline.
• Implement analysis pipelines using software engineering best practices.
• Interface with various stakeholders including research and laboratory professionals.
• Present results in written or oral reports for computational biologists, molecular biologists, clinicians, and research collaborators.
• Enhance, maintain, and support established NGS pipelines and workflows for clinical applications.
• Analyze and visualize laboratory and other clinical data using established data analysis methods and newly developed tools.

Qualifications

• Master’s in Bioinformatics, Biostatistics, Biomedical Engineering, or a Ph.D. in a related math or science field is required.
• Experience in bioinformatics or a closely related field is required, including demonstrated experience in next-generation sequence analysis.
• Experience with electronic medical record (EMR) APIs and interfaces is desirable.
• Experience in programming languages such as Python, Perl, R, Ruby, and Java is desirable.
• Experience with the integration and management of multiple data sources and workflows is desirable.
• Preference for individuals with expertise in genetic and/or epigenetic analyses and medical/research informatics experience.
• Proven track record in analyzing, interpreting, and modeling biological data, including next-generation sequencing data.
• Experience using statistical and machine learning methods as applied to molecular biology and genomics.
• Proficient in using a wide range of bioinformatics tools and resources for genomics and sequence analysis.
• Experience deploying automated analysis pipelines using cloud computing resources.
• If Master’s or Ph.D. requires licensure, certification, or registration, this must be achieved or eligibility and timeline for achievement agreed upon before hire.

Company Description

Sanford Health, the largest rural health system in the United States, is dedicated to transforming the health care experience and providing access to world-class health care in America’s heartland.