Regulatory Bioinformatician

3 months ago


Silver Spring, United States Guidehouse Full time

We are currently searching for a Regulatory Bioinformatics Scientist. The position will independently provide bioinformatics and genomics project support to our federal client. This is a full-time opportunity with remote work location.

  • Research and review literature to retrieve targeted clinical or scientific information, including novel statistical methods, from publicly available resources.
  • Participate in continuous quality improvement of bioinformatic and statistical processes and will work collaboratively with other lab staffs to implement changes and training.
  • Analysis and interpretation of high-throughput genomic, transcriptomic and/or proteomic data.
  • Work with the laboratory lead to design, develop and validate robust workflows, as well as custom scripts, to support the analysis of high-throughput data.
  • Work with the laboratory lead to develop network/systems biology approaches, including analysis of regulatory networks, integrative analysis to combine evidence from multiple data modalities.
  • Work with laboratory lead to interpret omics data and communicate results.
  • Mining proprietary and publicly available biological data to generate novel hypotheses or insights.
  • Present analysis results, in a clear and concise manner, to scientific audiences.
  • Collaborate with experimentalists and computational biologists to develop new computational tools to answer research questions of interest.
  • Identify new tools and resources for reaching biologically meaningful conclusions.
  • Serve as bioinformatics expert and coordinate with teams of biologists to conduct experimental queries and/or perform portions of studies using complex procedures and techniques common to modern bioinformatics.
  • Provide broad-based programming and analytic support for a wide variety of bioinformatic and research projects.
  • Work with staff on planning of experiments, and data analysis for internal and collaborative projects; use bioinformatics expertise to advise and help bench scientists on experimental design and troubleshooting.
  • Attend scientific and programming meetings; take and compile comprehensive notes; organize and edit content of meeting reports.
  • Prepare scientific reports, presentations, manuscripts and progress reports; assemble data to prepare tables, graphs, and slides; conduct scientific and program related information searches and report results.
  • Develop and optimize programs and scripts that facilitate organization, integration, and data mining of large data sets; integrate these models into a framework of best practices.


What You Will Need:

  • PhD in Molecular Biology, bioinformatics, biostatistics, or related field.
  • Strong technical, scientific, and analytical knowledge of molecular biology methods including RT-PCR/PCR and/or DNA/RNA sequencing.
  • +5 years technical experience in research laboratories/environment.
  • Ability to evaluate data from experiments, troubleshoot, optimize, and validate experiments without supervision.
  • Experience with one or more high-throughput analysis pipelines for genomics, transcriptomics and/or proteomics etc.
  • Proficiency in Unix (Linux) system, scripting (one, preferably two, of the following programming languages: Perl, Python, R, Java, and C/C++).
  • Ability to research and implement best practices for data analysis for complex experiments.
  • Must have attention to detail, strong organizational skills, troubleshooting abilities and strong written and oral communication skills.
  • Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude.
  • Authorization to work in the United States without restriction.


What Would Be Nice To Have:


  • Knowledge and experience in PCR- and array-based technology, and NGS.
  • Genomic, methylomic, transcriptomic, and/or proteomic analyses.
  • Omics data processing and analysis of next generation sequencing (NGS) datasets and Multi-omics data integration
  • Statistical modeling
  • Prior FDA experience is preferred
  • Exposure to development \implementation of complex workflows in an HPC environment.