Regulatory Bioinformatician

• 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 staff 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, and integrative analysis to combine evidence from multiple data modalities.
• Work with the 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 the 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
• Exposure to the development \implementation of complex workflows in an HPC environment.