Remote Computational Genomics & Bioinformatics Analyst

Sanford International; Sioux Falls, Northern (SD, KY); Hybrid; USD 48,000 - 79,000; Full time

Job summary

Sanford Health is seeking a Computational Bioinformatics Analyst to join the Bioinformatics team in a role focused on building analyses across phenome, transcriptome, and genome data with integration to EMR platforms. You will work on precision medicine initiatives in both clinical and research contexts, developing pipelines and ensuring data security.

The ideal candidate has a Master’s or PhD in a relevant field, strong programming skills (Python, R, Java, Perl), and experience with NGS data.

Qualifications

• Master’s or PhD in a related field required
• Experience in next-generation sequencing analysis required
• Experience with EMR APIs desirable
• Experience with cloud computing and deploying automated pipelines
• Proven track record in analyzing genomic data with scripting and statistics tools

Responsibilities

• Develop and maintain analysis pipelines for genomics data
• Analyze and visualize genomic data using established methods
• Collaborate with clinicians, researchers and data scientists
• Ensure data integrity, traceability and security across pipelines
• Prepare reports and manuscripts for publication or clinical review

Skills

Bioinformatics

Biostatistics

Data analysis

Machine learning

EMR APIs

Education

Master’s in Bioinformatics/Biostatistics/Biomedical engineering

PhD in a related math or science field

Tools

Python

R

Java

Perl

Job description

Sanford Health is seeking a Computational Bioinformatics Analyst to join the Bioinformatics team in a role focused on building analyses across phenome, transcriptome, and genome data with integration to EMR platforms. You will work on precision medicine initiatives in both clinical and research contexts, developing pipelines and ensuring data security.

The ideal candidate has a Master’s or PhD in a relevant field, strong programming skills (Python, R, Java, Perl), and experience with NGS data.