Bioinformatics Scientist (Neuro-Focused) (51677)

GAP SOLUTIONS INC•Durham, NC

10d•$110,000 - $128,000•Onsite

About The Position

The Bioinformatics Scientist will provide support to the National Institute of Environmental Health Sciences (NIEHS) within the National Institutes of Health (NIH). The position will independently provide computational and analytical support services to advance the institute’s research objectives. This role will support study design, data processing, advanced modeling, and interpretation of results to generate meaningful insights into neurobehavioral mechanisms. The position will also contribute to the development of scalable analysis pipelines, reproducible workflows, and innovative computational strategies that enhance the institute’s research capabilities and scientific impact.

Requirements

Master's degree in in Neuroscience, Computational Biology, Computer Science, Physics, Mathematics, or a related field.
Machine Learning Certification
Experience with SQL, R, Image J, Python, and MATLAB
Experience with Linux, Shell, PERL, Unix, Java, and HPC
Skilled in Neurobehavioral imaging data analysis
Skilled working with large data sets, Cloud-Based Computing, Pipeline development, and Multi-omics Analysis
Skilled in Machine Learning, Image Analysis, Core facility, Neural data analysis, and Behavioral data analysis

Nice To Haves

Ph.D. in Biological Sciences, Neuroscience, Bioinformatics, Biostatistics, Computational Biology or a related discipline.
Ability to communicate effectively, orally and in writing, with non-technical and technical staff
Detail-oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects

Responsibilities

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.
Install, troubleshoot and run open-source and commercial scientific software on platforms
Conduct analyses of in vivo neurobehavioral data; independently design the analytical approaches as well as identify and solve scientific or technical problems.
Support to the Neurobehavioral Core Laboratory to develop custom pipelines for raw data acquisition, management, pre-processing, post-processing and interpretation.
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.
Perform computational analysis of, and interpret results.
Provide reports based on analysis of scientific data.
Analyze large-scale neural and behavioral datasets using machine learning and statistical approaches.
Implement algorithms for data processing and visualization, optimizing them for performance.
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.
Collaborate with the Neurobehavioral Core Laboratory and support scientists to recommend the computational approaches for testing hypotheses, analyze and interpret in vivo neurobehavioral data; prepare and present the results based on the scientific objectives.
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.
Organize daily laboratory notebook on experiments; prepare weekly updates on on-going experiments and tasks; provide monthly progress notes on assigned projects; submit final progress reports and future directions on projects.
Organize laboratory notebook or computer database to record results of calculations.
Share results at lab meetings.
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.
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.
Participate in the design of new protocols involving computational methods.
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.
Research and review literature to retrieve targeted clinical or scientific information, including novel statistical methods, from publicly available resources.
Collaborate with staff to review current and historical procedures for the acquisition, quality control and management of data.
Analyze 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.
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.
Provide ad hoc trainings and hands-on workshops on the use of computational in vivo neurobehavioral tools.
Interact with all levels of staff and communicate with outside collaborators in the US and abroad.
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.
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.
Provide consultations for experimental design; conduct routine data analyses; develop and perform customized analytical strategies for each project; deliver the summary reports and visualization of results; assist with results interpretation; present results in team settings; and contribute to scientific manuscript preparation.
Assist with raw data acquisition, management and pre-processing; assist with troubleshooting for instrument run issues, data processing issues, and sample performance issues; establish and maintain high throughput data processing and analysis systems; evaluate commercial software and open source software.
Assist with the design and development of major in vivo neurobehavioral programming projects for scientists; write custom scripts to access databases and analyze data; develop novel analytic methodology to meet the demands from rapidly evolving intramural scientific research.
Provide training for scientists in in vivo neurobehavioral data analyses and interpretation; train scientists in the selection and use of in vivo neurobehavioral bioinformatics tools; assist with the preparation and teaching of courses and/or demonstrations on the use of these tools; provide technical expertise for these software and tools.