Bioinformatics Scientist, Veear Projects, Rockville, MD
Veear Projects -
Rockville, MD,
US
Bioinformatics Scientist
Date Posted: 2024-04-23
Job description
Deliverables:
1, 2, 3, 4, 5 represents priority rankings, where 1 is highest priority and 5 is lowest priority of those ranked
Minimum Education
- Work products and documents related to coordinating and analyzing large genomic databases in epidemiological studies; - Ad-Hoc
- 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. - Ad-Hoc
- 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. - Ad-Hoc
- Work products and documents related to implementing Web-based portals for the dissemination and visualization of research data, including the application of visualization programs intended to facilitate the display of large-scale sequencing data. - Ad-Hoc
- 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 1
- Develop computational pipelines for processing and analysis of a variety of next-generation sequencing data. 2
- Develop robust pipelines to integrate publicly available data into the downstream analysis of NCI-generated data. 3
- Provide support and expertise in the Unix operating system and programming languages (including Python, R) 4
- Install, troubleshoot and run open-source and commercial scientific software on platforms 5
- 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.
- ttend 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 Client 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.
- ssist 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 Client 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.
- Participate in research design with investigators for determining best practices pertaining to the bioinformatics analysis in new and ongoing projects.
- Evaluates new types of experimental approaches to protocols based on knowledge of scientific literature, available facilities and research needs.
- Research and review literature to retrieve targeted clinical or scientific information, including Client statistical methods, from publicly available resources.
- Collaborate with staff to review current and historical procedures for the acquisition, quality control and management of data.
- nalyze and evaluate data cleaning and harmonization needs in the using a variety of descriptive statistics and analytic methods.
- Identify new tools and resources for reaching biologically meaningful conclusions.
- Collaborate with experimentalists and computational biologists to develop new computational tools to answer research questions of interest.
- Independently coordinates the training of personnel in the use of scientific software applications, statistical software applications and programmatic software applications.
- Provide training in and technical support (including product updates and version control) for programs, algorithms, archives, and pipelines generated during the course of this work.
- Instruct staff in computational analysis of data.
- Provide ad hoc trainings and hands-on workshops on the use of bioinformatics tools.
- Provide training of students, new investigators, and other laboratory personnel in the use of techniques, procedures and equipment to complete the objectives of the laboratory.
- Install, troubleshoot, and run open-source and commercial scientific software and bioinformatics techniques used in data analysis
- Initiates interdisciplinary collaborations with other research centers.
- Work with an interdisciplinary team to apply computational data analysis approaches to make biological discoveries.
- Collaborate with group members in experiments associated with data collection.
- Work with staff, collaborate with outside researchers, and contribute to positive overall teamwork; teach
- Bioinformatics principles and methodologies.
- Collaborate with biologists, statisticians and/or other bioinformaticians in the design of models summarizing/explaining experimental data.
- Deliver at least one presentation per year to audiences outside the Government.
- ttend group meetings; present findings; author publications resulting from projects.
- Present analysis results at research conferences and meetings.
- Present new research data in group settings, at meetings or seminars.
- Implement Web-based portals for the dissemination and visualization of research data, including the application of visualization programs intended to facilitate the display of large-scale sequencing data within platforms such as IGV, JBrowse, the Exome Aggregation Consortium (ExAC) browser and gnomAD browser.
- Develop computational pipelines for processing and analysis of a variety of next generation sequencing data.
- Provide training to scientific staff on bioinformatics techniques used in data analysis.
- Coordinate and analyze large genomic databases in epidemiological studies. This includes but are not limited to data manipulation, algorithmic implementation, statistical programming, and integrated genomic analyses.
- Provide support and expertise in the Unix operating system, databases (including Oracle) and programming languages (including Perl, Python, BioPerl, Java, XML, SQL, JavaScript, JavaServer Page, C/C++, servlets and R), object-oriented programming and design, visualization and dissemination of genetic and genomic data.
- Install, troubleshoot and run open-source and commercial scientific software on the Unix and Linux platforms.
- Provide support and expertise with the public bioinformatics and genomic databases and tools (such as GATK, SAMtools, BCFtools, PLINK, cBioPortal, gnomAD, GTEx, GDC).
- Develop robust pipelines to integrate publicly available data into the downstream analysis of NHGRI/DIR-generated research data.
1, 2, 3, 4, 5 represents priority rankings, where 1 is highest priority and 5 is lowest priority of those ranked
Minimum Education
- Masters
- Master's degree in a related discipline - PhD
- Miscellaneous Biology
- MS Office Suite
- Python
- MATLAB
- Strong verbal and written communication skills.
- Experience with data mining and visualization for large-scale next-generation sequencing data (such as WGS data)
- Excellent analytical, organizational and time management skills.