Computational Biologist Genomics
Cherokee Federal · Frederick, MD · Yesterday
On-siteAnalyst$75k/yrFull-time
Responsibilities
- Analyze genomic and biological datasets generated from Oxford Nanopore and Illumina sequencing platforms.
- Execute, test, troubleshoot, and maintain bioinformatics analysis pipelines in Linux and high-performance computing environments.
- Perform sequence quality assessment, demultiplexing, de novo genome assembly, and reference-based genome alignment.
- Develop and maintain Bash scripts and computational workflows that improve the efficiency and reproducibility of genomic analyses.
- Support analysis of high-throughput sequencing data and communicate results to laboratory scientists and principal investigators.
- Collaborate with wet laboratory personnel to interpret sequencing results and troubleshoot analytical issues.
- Evaluate existing computational workflows and recommend improvements to increase efficiency, reproducibility, and scientific accuracy.
- Prepare technical reports, standard operating procedures, scientific documentation, and monthly progress reports.
- Present research findings during laboratory meetings, technical discussions, and scientific conferences, as required.
Qualifications
- Bachelor's degree in Computational Biology, Bioinformatics, Biology, Genomics, Molecular Biology, Microbiology, Computer Science, Data Science, or a related scientific discipline.
- Minimum one year of experience supporting bioinformatics, computational biology, genomics, or biological data analysis.
- Working knowledge of genomics and next-generation sequencing technologies.
- Familiarity with both Oxford Nanopore and Illumina sequencing platforms, including an understanding of the differences between the technologies.
- Experience working within Linux or Unix operating systems.
- Experience using Bash scripting.
- Experience using high-performance computing (HPC) environments.
- Experience performing sequence demultiplexing, de novo genome assembly, and reference genome alignment.
- Experience using R or Python for biological data analysis.
- Ability to independently troubleshoot computational workflows and analytical problems.
- Strong scientific writing, analytical thinking, and communication skills.
- Ability to work independently while collaborating effectively within a multidisciplinary scientific team.
Benefits
- Compensation commensurate with experience.
- Full time benefits include Medical, Dental, Vision, 401K and other possible benefits as provided.