Computational 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

Careers With Purpose

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.

Facility: Remote SD (Central Time)
Location: Remote, SD
Address:
Shift: 8 Hours - Day Shifts
Job Schedule: Full time
Weekly Hours: 40.00
Salary Range: $34.50 - $57.00

Department Details

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. The clinical projects involve implementing genetic testing panels that are directly applicable to patient care, while the research projects further Imagenetics’ goal of advancing education, knowledge, and research in the field of genomics.

The Bioinformatics team works as data analysts, pipeline engineers and data scientists and wear multiple hats throughout.

Job Summary

Provides support in computational analysis of or the logical and technical processes necessary for building analyses of phenome, metabolome, glycome, lipidome, infamome, transcriptome, epigenome, and genome, as well as the integration of such with electronic medical record platforms. Possesses proven academic track record of innovation in one or more of these areas. The computational and database systems developed by the application will be used to gather, generate, and track patient data and develop medically actionable hypothesis. Familiarity with security and privacy requirements applicable for working with patient data in a medical environment and in the development of appropriate ethically and legally compliant policies is desirable. Establishes data analysis plans for each project, project tracking, outcome monitoring, statistical validation and analysis. and manuscript generation. Understands bioinformatics data format, tools, and analytical approaches. Conducts gene pathway analysis. Understands data and where/how it is stored. Writes standard operating procedures (SOPs) for clinical test and writes out valid documentation. Programming for analysis of data. Develops computational services, takes genetic test results and runs quality analysis, then generates report to reporting platform to be reviewed and sign off by at the lab. Statistical validation and analysis. Assists in determining the required statistical analysis or finds and/or creates new analysis. Develops ways to analyze gene expression data picked up from publicly available sources. Identifies what algorithms best analyze the data

Provide statistical and computational tools for biologically based activities, such as genetic analysis, measurement of gene expression, or gene function determination.

Critically evaluate existing bioinformatics tools and statistical learning methods to best gain insights from experimental and production data, developing new methods as necessary. Ensure data integrity, traceability, accuracy, and security throughout the analysis pipeline. Implement analysis pipelines using software engineering best practices (code review, version control, automated testing)

Interfaces with various stakeholders including Research and laboratory professionals. Present results in written or oral reports for computational biologists, molecular biologists, clinicians, and research collaborators. Understands best practices for data management especially large sets of genomic data. 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 or Biomedical engineering or a Ph.D. in a related math or science field is required.

Experience in bioinformatics or closely related field is required including demonstrated experience in next generation sequence analysis. Experience with electronic medical record (EMR) APIs and interfaces and movement of data out of and into EMRs is desirable. Experience in programming Python, Perl, R, Ruby and Java is desirable. Experience with the integration and management of multiple data sources, workflows, and enabling integrated management of and reporting on those data and process through graphical user interfaces is desirable. Preference will be given to those individuals with expertise in genetic and/or epigenetic analyses and medical and/or research informatics experience.

Proven track record in analyzing, interpreting, and modeling biological data, including next-generation sequencing data, using scripting languages and statistics software packages for data manipulation, analysis, and visualization.

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 applicant’s Master’s or Ph.D. requires licensure, certification, or registration, this must be achieved or eligibility and timeline for achievement is agreed upon before hire.

Benefits

Sanford offers an attractive benefits package for qualifying full-time and part-time employees. Depending on eligibility, a variety of benefits include health insurance, dental insurance, vision insurance, life insurance, a 401(k) retirement plan, work/life balance benefits, and a generous time off package to maintain a healthy home-work balance. For more information about Total Rewards, visit https://sanfordcareers.com/benefits .

Sanford is an EEO/AA Employer M/F/Disability/Vet. If you are an individual with a disability and would like to request an accommodation for help with your online application, please call 1-877-673-0854 or send an email to [e-mail] .

Sanford has a Drug Free Workplace Policy. An accepted offer will require a drug screen and pre-employment background screening as a condition of employment.

Req Number: R-0273997
Job Function: Allied Health
Featured: No