Bioinformatics Scientist

**Nextonic Solutions** is seeking a **_Bioinformatics Scientist _**to join our vibrant team at the National Institutes of Health (NIH).

**Deliverables**:

- Work products and documents related to coordinating and analyzing large genomic databases in epidemiological studies
- Work products and documents related to providing support and expertise in the Unix operating system, databases (including Oracle) and programming languages; provide support and expertise with the public bioinformatics and genomic databases and tools.
- Work products and documents related to developing robust pipelines to integrate publicly available data into the downstream analysis of NHGRI/DIR-generated research data; develop computational pipelines for processing and analysis of a variety of next
- generation sequencing data.

**Work Details**:

- Support and analyze large-scale genetic and genomic data from epidemiological studies. This includes but are not limited to data manipulation, algorithmic implementation, statistical programming, and integrated genomic analyses
- Develop computational pipelines for processing and analysis of a variety of next-generation sequencing data.
- Develop robust pipelines to integrate publicly available data into the downstream analysis of NCI-generated data.
- Provide support and expertise in the Unix operating system and programming languages (including Python, R)
- Install, troubleshoot and run open-source and commercial scientific software on platforms
- Provides programming and troubleshooting support to the Federal Government in the dissemination of research data.
- Generate and optimize programs and scripts for the analysis of data; create programs and algorithms and develop computational infrastructure resources for organizing and parsing data from large and complex data.
- 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.
- Coordinate building bioinformatics infrastructure to ensure easy and meaningful scientific analysis and interpretation of data.
- Provide broad-based programming and analytic support for a wide variety of bioinformatic and research projects.
- Performs computations on research data analysis.
- Perform computational analysis of, and interpret results.
- Provide reports based on analysis of scientific data.
- Perform sequencing and alignment of raw data, and interpret new data using larger public access datasets.
- Provide interpretive analyses of data derived from different experimental platforms to generate biological meaning.
- Write custom programs and algorithms to support data analyses and discovery.
- Works with staff on scientific programming and experimental design.
- Collaborate with scientists to design, analyze, manage and interpret all types of data.
- 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 trouble-shooting.
- Work with staff to develop specifications for new analysis; design, test and implement solutions.
- Make recommendations to investigators about the correct computational tools for testing scientific hypotheses and reaching valid conclusions.
- Records observations and report results at weekly laboratory meetings.
- Maintain proper and detailed documentation of the analysis performed and report results at lab meetings.
- Attend scientific and programming meetings; take and compile comprehensive notes; organize and edit content of meeting reports.
- Prepare scientific reports and progress reports; assemble data to prepare tables, graphs and slides; conduct scientific and program related information searches and report results.
- Contribute to manuscript development, including manuscript drafting and critical review of manuscript content
- Provides statistical support / analysis on research data.
- Devise novel methods of statistical analysis for collected data.
- Utilize and adapt existing bioinformatics techniques to check for trends and patterns in the data.
- Perform data processing and data analysis with existing computational and statistical methods.
- Assist in evaluating and interpreting results for validity and scientific meaning.
- Provide support and expertise in the Unix operating system and programming languages (including Python, R)
- Provides research / service goals in the context of the laboratory's overall mission.
- Create novel programs and algorithms that facilitate discovery of knowledge in investigating large and complex data.
- 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.
- Work with staff on the development and maintenance of bioinformatics tools, scripts and pipe-lines for data.
- Partici