Computational Biologist

We are currently seeking a highly skilled and motivated Computational Biologist to join our team in Raleigh. As a Computational Biologist, you will play a crucial role in analyzing biological data, specifically in the context of CRISPR technology. You will utilize your expertise in computational biology, data analysis, and programming languages such as R to support our research and development efforts. The successful candidate will work closely with molecular biologists, bioinformaticians, and other team members to interpret and derive insights from complex biological datasets.

Responsibilities:

• Develop and implement computational strategies for analyzing CRISPR-related data, including genomic, transcriptomic, and proteomic datasets
• Apply statistical and bioinformatics methods to process, analyze, and interpret large-scale biological data.
• Collaborate with molecular biologists to design and optimize CRISPR experiments and assist in experimental design.
• Conduct data mining, integration, and visualization to identify patterns, correlations, and biological insights.
• Develop and maintain pipelines and scripts for data processing, analysis, and visualization using programming languages such as R.
• Stay current with the latest developments in computational biology and CRISPR technology, and apply emerging methodologies to improve data analysis workflows.
• Communicate findings and results to the research team through presentations, reports, and visualizations.
• Collaborate with cross-functional teams to support experimental design, data collection, and analysis.
• Contribute to the development of new computational tools and algorithms for CRISPR research.
• Document methods, protocols, and results for internal reference and external publications.

Requirements:

• Ph.D. in Computational Biology, Bioinformatics, or a related field. Candidates with a Master’s degree and relevant experience will also be considered.
• Strong background in computational biology, bioinformatics, and genomics.
  Proficiency in data analysis and statistical methods.
• Experience in analyzing CRISPR-related data, including genomic editing, gene expression, and gene regulation data.
• Proficiency in programming languages, particularly R and scripting languages for data manipulation and analysis.
• Familiarity with bioinformatics tools, databases, and resources commonly used in molecular biology and genomics research.
• Strong publication record demonstrating expertise in computational biology.

How to Apply: If you meet the qualifications and are interested in this position, please apply on Stemta.com or network with me here: https://stemta.com/members/jayson/profile/

EEO – All qualified applicants will receive consideration for employment without discrimination.