Jobs · Analyst · Maryland

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.

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