Computational Bioinformatics Analyst

Job not on LinkedIn

🔥 0 minutes ago

🗿 South Dakota – Remote

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💵 $34 - $57 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

🦅 H1B Visa Sponsor

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👻 Ghost score 0%

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Logo of Sanford Health

Sanford Health

10,000+ employees

Founded 1894

🛡️ Insurance

🏥 Healthcare

⚕️ Healthcare Insurance

Insurance • Healthcare • Healthcare Insurance

Sanford Health is the largest rural health system in the United States, dedicated to transforming the healthcare experience and providing access to world-class healthcare in America's heartland. Headquartered in Sioux Falls, South Dakota, Sanford Health serves over 1. 4 million patients and nearly 200,000 health plan members across 250,000 square miles. The integrated health system includes 48 medical centers, 211 clinic locations, and more than 160 senior living centers, employing 2,900 physicians and advanced practice providers. Sanford Health is committed to offering compassionate care through its Centers of Excellence, focusing on specialties such as cancer, orthopedics, women’s health, and genetics. Additionally, it provides affordable health insurance, engages in extensive clinical trials, and supports personalized genetic medicine.

📋 Description

• Support computational analysis and technical processes for phenome, metabolome, glycome, lipidome, inflamome, transcriptome, epigenome, and genome analyses • Integrate genomic analyses with electronic medical record platforms • Establish data analysis plans, track projects, monitor outcomes, and perform statistical validation and analysis • Generate manuscripts and valid documentation, including standard operating procedures for clinical tests • Conduct gene pathway analysis and analyze gene expression data from public sources • Develop computational services and quality-analyze genetic test results • Generate reports for laboratory review and sign-off • Provide statistical and computational tools for genetic analysis, gene-expression measurement, and gene-function determination • Evaluate bioinformatics tools and statistical learning methods and develop new methods as needed • Ensure data integrity, traceability, accuracy, and security throughout analysis pipelines • Implement analysis pipelines using code review, version control, and automated testing • Collaborate with research and laboratory professionals, clinicians, computational biologists, molecular biologists, and research collaborators • Present computational results in written and oral reports • Maintain and support NGS pipelines and workflows for clinical applications • Analyze and visualize laboratory and clinical data

🎯 Requirements

• Master’s in Bioinformatics, Biostatistics or 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 • Demonstrated experience in next-generation sequence analysis • Proven track record analyzing, interpreting, and modeling biological data, including next-generation sequencing data • Experience using scripting languages and statistics software packages for data manipulation, analysis, and visualization • Experience using statistical and machine learning methods applied to molecular biology and genomics • Proficient in a wide range of bioinformatics tools and resources for genomics and sequence analysis • Experience deploying automated analysis pipelines using cloud computing resources • If the applicant’s Master’s or Ph.D. requires licensure, certification, or registration, this must be achieved, or eligibility and timeline for achievement agreed upon before hire • Experience with EMR APIs and interfaces is desirable • Experience programming in Python, Perl, R, Ruby, and Java is desirable • Experience integrating and managing multiple data sources, workflows, and graphical user interfaces is desirable • Expertise in genetic and/or epigenetic analyses and medical and/or research informatics experience preferred

🏖️ Benefits

• 8-hour day shifts • 40 scheduled hours per week • Equal opportunity employment • Disability accommodation support

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