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.