Remote Precision Medicine Bioinformatics Analyst

Good Samaritan Society; South Dakota; Hybrid; USD 48,000 - 79,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

401(k) retirement plan

Generous time off

Job summary

Sanford Health, a leading rural health system in the United States, seeks a senior bioinformatics professional to advance computational analyses across phenome, metabolome, and genome data integrated with EMR platforms.

The role emphasizes developing data pipelines, statistical validation, and reporting, with a strong emphasis on privacy and security in handling patient data. A Master’s or Ph.D. in a related field is required.

Qualifications

• Master’s in Bioinformatics, Biostatistics or Biomedical engineering or Ph.D. in related field.
• Experience in bioinformatics or closely related field with next-generation sequencing analysis.
• Experience with EMR APIs and interfaces is desirable.
• Experience programming Python, Perl, R, Ruby and Java.
• Preference for genetic and/or epigenetic analyses and medical informatics experience.
• Proven track record in analyzing, interpreting, and modeling biological data including NGS.

Responsibilities

• Develop computational analyses for phenome, metabolome, transcriptome, and genome data integrated with EMR platforms.
• Establish data analysis plans, project tracking, and statistical validation.
• Write SOPs for clinical tests and generate documentation for reporting.
• Develop and deploy automated analysis pipelines and cloud-based workflows.

Skills

Python

Perl

R

Ruby

Java

Bioinformatics tools

NGS analysis

EMR APIs

Education

Master’s in Bioinformatics, Biostatistics or Biomedical engineering or Ph.D. in related field

Tools

Python

EMR APIs

Cloud computing

Job description

Sanford Health, a leading rural health system in the United States, seeks a senior bioinformatics professional to advance computational analyses across phenome, metabolome, and genome data integrated with EMR platforms.

The role emphasizes developing data pipelines, statistical validation, and reporting, with a strong emphasis on privacy and security in handling patient data. A Master’s or Ph.D. in a related field is required.