Bioinformatics Analyst

Description

Key Responsibilities

• Design, build, document, and maintain custom state of the art RNAseq and other OMICs data-analysis pipelines and front-end tools for a large user base.
• Detect and resolve software bugs and performance issues. Provide on-demand technical support for applications.
• Educate and train colleagues in usage of these tools.
• Containerize on-premises and cloud systems, execute extensive test strategies, including unit and integration tests, to ensure software quality.

Education

• Degree in computational biology, bioinformatics, computer science, biophysics, biotechnology or related field.
• BS with 2-4 years of experience, MS with typically 0-2 years of experience.

Skills & Experiences:

• Advanced knowledge in programming languages commonly used in bioinformatics such as R and python.
• Extensive experience in Front-End/tool development such as R-Shiny or React like frameworks.
• Experience working with cloud (AWS), high-performance computing environments (UNIX) and version control systems like Git.
• Proficiency in statistical analysis methods such as linear regression and multivariate analysis. Expertise in OMICS data analysis, especially RNAseq, including experiment design, data processing, and result interpretation using bioinformatics tools is a plus
• Demonstrated experience in pharmaceutical industry or related field is a plus.
• Excellent analytical and troubleshooting skills
• Good communication skills, team-oriented, with focus on achieving team goals

Work environment:

• Part of the international bioinformatics team
• Remote in EST or CST time zone
• Dedicated scientist as supervisor for the project duration
• Fully remote possible