Bio-IT Bioinformatics Specialist

Position Summary

We are looking for a mid-level Bio-IT Bioinformatics Specialist with strong hands-on experience in Oxford Nanopore Technologies (ONT), Next-Generation Sequencing (NGS), and Sanger sequencing. The ideal candidate has a track record of developing or optimizing analytical workflows, troubleshooting sequencing data issues, and integrating new tools and methods to advance genomic analysis capabilities.

Key Responsibilities

• Design, develop, and optimize bioinformatics workflows for ONT, NGS, and Sanger sequencing data.
• Support the expansion of service offerings by implementing novel data analysis methods and tools.
• Perform quality control, alignment, variant calling, and annotation for diverse sequencing projects.
• Collaborate with wet-lab scientists, software engineers, and project managers to deliver high-quality genomic analyses.
• Host or participate in virtual meetings with key customers to provide technical support, discuss results, or assist with project planning as required.
• Evaluate and benchmark new sequencing technologies and software solutions.
• Document and communicate methods, results, and improvements clearly and effectively.
• Assist in the design of custom bioinformatics solutions tailored to client needs.
• Stay up to date on bioinformatics advances and incorporate them into company workflows as appropriate.

Required Qualifications

• Master’s or PhD in Bioinformatics, Computational Biology, Genomics, or a related field.
• 2–5 years of hands-on experience analyzing data from ONT, NGS, and Sanger sequencing platforms.
• Proficiency in at least multiple programming languages (e.g., Python, R, Bash).
• Experience with workflow management tools.
• Familiarity with common bioinformatics tools (e.g., MinKNOW, Guppy, BWA, GATK, samtools, bcftools).
• Proficiency in multiple programming languages Python, C++, Java, R, Julia, Shell, or C/C++
• Proficiency in distributed computing and reports generation using tools like Map/Reduce, Hadoop, Hive, Spark, Impala, Pig, Scala, Scalding, Scoobi, and Shark.
• Strong understanding of genomics, sequencing technologies, and variant interpretation.
• Demonstrated ability to innovate and develop new analytics approaches or pipelines.
• Excellent communication and team collaboration skills.

Preferred Qualifications

• Experience in cloud computing environments.
• Familiarity with regulatory and clinical data analysis standards (e.g., CLIA, CAP).
• Background in microbial, human, or environmental genomics projects.
• Experience writing documentation, training materials, or contributing to open-source projects.