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Senior Bioinformatics Analyst
2 months ago
We are seeking a highly skilled Senior Bioinformatics Analyst to join our team at InsideHigherEd. As a key member of our research group, you will play a critical role in analyzing and interpreting large-scale biological data sets.
Key Responsibilities- Develop and implement advanced computational and statistical methods for big-data analysis.
- Work independently to create and implement machine learning algorithms for identifying patterns and signatures relevant to biological datasets.
- Collaborate with researchers to design and execute computational approaches for DNA methylation analysis, genome sequence analysis, transcriptome analysis, and data visualization.
- Use published and available pipelines, scripts, and tools to prepare and process large datasets.
- Stay up-to-date with new developments and technical advances in the bioinformatics, image processing, visualization, genomics, and biological fields related to current projects.
- Present advanced analysis results, tools, and pipelines at group meetings and contribute to publications in scientific journals.
- MS degree in bioinformatics, computational biology, computer science, biological sciences, bioengineering, mathematics, statistics, or a related discipline.
- Minimum of 3 years of relevant bioinformatics experience with a Master's degree. If PhD, experience acquired through PhD program may be considered in lieu of professional experience.
- Hands-on work experience in single-cell analyses and integration, harmonization of data sets, statistics, and machine learning.
- Relevant experience and proficiency in Python programming; fluency in at least 2 common programming languages (Bash, AWK, or R); next-generation sequencing technologies and assays; and high-performance computing (e.g., SGE environment).
- Excellent communication and organizational skills of data files, analyses, and generation of plots and graphs for figures for manuscripts and grants.
- Outstanding time management and able to work on tight deadlines.
- Minimum of 1 year analysis experience on omics datasets and/or single-cell datasets.
- Minimum of 2 years analysis experience with NGS / High-throughput sequencing data analysis.
- PhD degree in bioinformatics, computational biology, computer science, biological sciences, bioengineering, mathematics, statistics, or a related discipline.
