Job Description

Summary

The Bioinformatics Programmer is responsible for designing, developing, and implementing computational tools and pipelines to analyze and interpret complex biological data related to genomics, proteomics, and other molecular information. This role involves working closely with scientists, researchers, and other stakeholders to ensure the efficient and accurate processing and analysis of large-scale biological datasets. The Bioinformatics Programmer will also contribute to the advancement of biological and biomedical research through the development of novel algorithms, software tools, and data analysis methods.

Job Duties

• Design, develop, and implement computational tools, pipelines, and algorithms for the processing, analysis, and interpretation of large-scale biological datasets, including genomic, transcriptomic, proteomic, and metabolomic data.
• Collaborate with scientists, researchers, and other stakeholders to understand project requirements, develop data analysis strategies, and deliver customized bioinformatics solutions.
• Maintain and update existing bioinformatics software tools and pipelines, ensuring compatibility with new data types, formats, and analysis methods.
• Utilize and contribute to public and proprietary bioinformatics databases and resources to support research objectives.
• Perform quality control and validation of data analysis results, ensuring accuracy, reproducibility, and compliance with industry standards.
• Document and communicate analysis findings, including the creation of visualizations, reports, and presentations for both technical and non-technical audiences.
• Keep up-to-date with advancements in bioinformatics, computational biology, and relevant research fields, and apply new knowledge and techniques to improve existing tools and methodologies.
• Provide training and support to researchers and staff on the use of bioinformatics tools, resources, and data analysis methods.

Minimum Qualifications

• Bachelor's degree in Computer Science, Biological Science, or a related field.
• No experience required.

Preferred Qualifications

• Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field, with a strong background in molecular biology and genetics.
• Proven experience in bioinformatics programming and data analysis, preferably in a research or industry setting.
• Proficient in programming languages such as Python, R, Java, or C++, and experience with scripting languages like Perl or Bash.
• Familiarity with bioinformatics tools, databases, and data formats, such as NCBI, Ensembl, UCSC Genome Browser, FASTA, FASTQ, SAM/BAM, and VCF.
• Strong knowledge of statistical methods, machine learning techniques, and data visualization tools relevant to the analysis of biological data.
• Excellent problem-solving, critical thinking, and communication skills, with the ability to work both independently and collaboratively in a multidisciplinary team.
• Familiarity with high-performance computing environments, cloud-based computing platforms, and version control systems such as Git is desirable.

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