Bioinformatics Analyst

We are looking for a skilled and detail-oriented Bioinformatics Analyst to join our team. In this role, you will be responsible for analyzing and interpreting biological data using computational tools and techniques. You will work closely with researchers, scientists, and other stakeholders to support various projects and contribute to the generation of valuable insights and discoveries. The successful candidate will have a strong background in bioinformatics, data analysis, and a keen eye for patterns and trends in biological datasets.

Responsibilities:

• - Perform data processing, quality control, and analysis of biological datasets using bioinformatics tools and pipelines.
• - Apply statistical methods and algorithms to identify patterns, correlations, and potential biomarkers from genomic, transcriptomic, proteomic, and other relevant datasets.
• - Collaborate with researchers and scientists to design and execute bioinformatics analyses tailored to specific research questions or projects.
• - Generate visualizations and reports to effectively communicate results and findings to project teams and stakeholders.
• - Stay up to date with the latest bioinformatics methodologies, databases, and tools, and propose innovative approaches to enhance data analysis workflows.
• - Contribute to the development and improvement of bioinformatics pipelines and workflows.
• - Assist in the evaluation and implementation of new bioinformatics software, databases, and tools to enhance data analysis capabilities.
• - Collaborate with interdisciplinary teams to integrate and analyze multi-omics datasets for comprehensive biological insights.
• - Ensure data integrity, accuracy, and compliance with relevant standards and protocols.
• - Contribute to the documentation of methods, processes, and results for future reference and knowledge sharing.

Qualifications:

• - Bachelor's or Master's degree in Bioinformatics, Computational Biology, Genomics, or a related field.
• - Strong proficiency in programming languages commonly used in bioinformatics, such as Python, R, Perl, or Java.
• - Experience in analyzing and interpreting biological datasets, such as genomics, transcriptomics, proteomics, or metagenomics.
• - Familiarity with bioinformatics tools, databases, and software packages commonly used in data analysis (e.g., BLAST, NCBI databases, UCSC Genome Browser, Ensembl).
• - Solid understanding of statistical analysis methods and algorithms commonly used in bioinformatics research.
• - Strong attention to detail and ability to analyze complex datasets with accuracy.
• - Proficient in data visualization techniques and tools for effective presentation of results.
• - Excellent problem-solving and critical thinking skills, with the ability to troubleshoot data analysis challenges.
• - Strong communication skills, both written and verbal, with the ability to collaborate effectively with multidisciplinary teams.
• - Ability to work independently, manage multiple tasks, and meet project deadlines.
• - Familiarity with high-performance computing environments and basic scripting skills is desirable.

Skills:

• - Proficiency in programming languages such as Python, R, Perl, or Java.
• - Experience in analyzing and interpreting biological datasets.
• - Familiarity with bioinformatics tools, databases, and software packages.
• - Statistical analysis methods and algorithms.
• - Data visualization techniques and tools.
• - Attention to detail and accuracy in data analysis.
• - Problem-solving and critical thinking abilities.
• - Strong communication and collaboration skills.
• - Ability to manage multiple tasks and meet deadlines.
• - Familiarity with high-performance computing environments and scripting skills (desirable).

Please apply on the Lifelancer website at the below link for screening steps & quicker response.

https://lifelancer.com/jobs/view/59b2e10794273cd5ad8d6790147cbf16