Job Title: Bioinformatics Analyst

Work Location: Montgomery County, Maryland

Summary:

This position offers an opportunity to contribute to bioinformatics projects with a focus on genomic and microbiome data analysis. The role is contract to hire, with a 6-month initial term, and involves working on-site during standard business hours. The ideal candidate will have a background in bioinformatics, computational biology, or a related field, and will be comfortable working in a multidisciplinary team environment.

Responsibilities:

• Conduct analysis of genomic and microbiome datasets using established bioinformatics tools and pipelines.
• Utilize R, Unix, and other programming environments to process and interpret next-generation sequencing (NGS) data.
• Collaborate with team members to design, implement, and optimize workflows for large-scale data analysis.
• Apply statistical models and open-source software to analyze and visualize biological data.
• Document methodologies, results, and findings in a clear and organized manner for internal and external stakeholders.
• Engage in troubleshooting and problem-solving to address technical challenges in data analysis.
• Participate in multidisciplinary meetings to discuss project progress and contribute to team goals.
• Maintain scientific integrity and adhere to best practices in data management and analysis.

Qualifications:

• B.Sc. in computer science, bioinformatics, computational biology, life science, or a related field.
• Familiarity with genomic data and common methods of NGS data analysis.
• Experience working with R and Unix.
• Full professional proficiency in English.
• Strong work ethic with a customer-success orientation.
• 1-2 years of industry experience in bioinformatics or life sciences (preferred).
• M.Sc. in statistics, life science, computational biology, or a related field (preferred).
• Experience with tidyverse, ggplot2, Python, Git, high-performance computing, and cloud environments such as AWS (preferred).
• Exposure to large-scale microbiome data analysis and relevant open-source tools/statistical models (preferred).
• Familiarity with open-source bioinformatics software, including ontologies, pathways, networks, and phylogenetics (preferred).
• Ability to work effectively in a multidisciplinary team environment.
• Engaged, self-driven, and curious with a structured approach to work and scientific integrity.
• Enjoys contributing to a collaborative team environment.

Published Category: Analytical & Process Development