Bioinformatician II Biorepository Core Research

Henry Ford Health; Detroit (MI); On-site; USD 90,000 - 120,000; Full time

Job summary

Henry Ford Health in Detroit, MI seeks a Bioinformatician II to support the Biorepository Core Research team. You will manage, analyze, and interpret complex biological datasets and collaborate with researchers to enable reproducible analyses.

The role focuses on developing pipelines, ensuring data integrity, and staying current with bioinformatics methods to advance research capabilities in a regulated environment.

Qualifications

• 3–5 years of professional bioinformatics or computational biology experience.
• Proficiency in Python, R, or Perl for analysis and automation.
• Strong background in NGS data analysis and genomic data processing.
• Experience with Linux/Unix command line and Git.
• Solid understanding of statistics and databases for data management.
• Excellent written and verbal communication for reporting findings.

Responsibilities

• Perform comprehensive bioinformatics analyses on NGS data including QC, alignment, variant calling, and annotation.
• Develop and maintain data management systems and workflows for biorepository samples and metadata.
• Design automated pipelines using scripting languages to streamline processing.
• Collaborate with researchers to deliver tailored analytical solutions.
• Ensure data integrity, security, and regulatory compliance for biorepository operations.
• Troubleshoot tools and optimize databases for performance and reliability.
• Document methods and results to support reproducibility and knowledge sharing.
• Provide technical support and training on bioinformatics tools.
• Stay current with emerging bioinformatics technologies and best practices.
• Contribute to research publications and presentations with robust analyses.

Skills

Python

R

Perl

NGS data analysis

Linux/Unix

Git

Statistics

Database management

Communication

Tools

Nextflow

Snakemake

WDL

Docker

Singularity

ANNOVAR

VEP

dbSNP

Job description

Job Description

We are seeking a detail-oriented and analytical Bioinformatician II to join our Biorepository Core Research team in Detroit, United States. In this mid-level position, you will play a critical role in supporting our research initiatives by managing, analyzing, and interpreting complex biological datasets. You will work collaboratively with researchers and laboratory staff to ensure the integrity and accessibility of our biorepository data while advancing our research capabilities through sophisticated bioinformatics solutions.

• Perform comprehensive bioinformatics analyses on next-generation sequencing (NGS) data, including quality control, alignment, variant calling, and annotation
• Develop and maintain efficient data management systems and workflows for biorepository samples and associated metadata
• Design and implement automated bioinformatics pipelines using scripting languages to streamline data processing and analysis
• Collaborate with research scientists and laboratory personnel to understand project requirements and deliver tailored analytical solutions
• Ensure data integrity, security, and compliance with regulatory standards for biorepository operations
• Troubleshoot technical issues and optimize bioinformatics tools and databases for improved performance and reliability
• Document methodologies, protocols, and analysis results with precision to support reproducibility and knowledge sharing
• Provide technical support and training to research staff on bioinformatics tools and data interpretation
• Stay current with emerging bioinformatics technologies and best practices to continuously enhance core facility capabilities
• Contribute to research publications and presentations by providing rigorous data analysis and interpretation

Qualifications:

Qualifications

Required Qualifications:

• 3-5 years of professional experience in bioinformatics or computational biology
• Proficiency in programming languages such as Python, R, or Perl for data analysis and automation
• Strong experience with NGS data analysis and genomic data processing
• Demonstrated expertise in Linux/Unix command-line environments
• Experience with version control systems (Git) and collaborative development practices
• Solid understanding of statistical methods and their application to biological data
• Experience with relational and non-relational databases for data management
• Excellent organizational skills with the ability to manage multiple projects simultaneously
• Strong written and verbal communication skills for documenting and presenting technical findings

Preferred Qualifications:

• Experience working in a biorepository or research core facility environment
• Knowledge of machine learning techniques applied to biological datasets
• Familiarity with cloud computing platforms and high-performance computing environments
• Experience with workflow management systems (e.g., Nextflow, Snakemake, WDL)
• Background in genomics, molecular biology, or biostatistics
• Experience with containerization technologies (Docker, Singularity)
• Familiarity with bioinformatics databases and annotation tools (e.g., ANNOVAR, VEP, dbSNP)