Computer and Electronics Engineer

The contractor will independently provide support services to satisfy the overall operational objectives of the NIMH. This position will 1 provide statistical modeling, server and software management, database management, advance web development, and data visualization and experience with MATLAB, Linux, R Languages, Python or Shiny languages is needed. Applying knowledge of retional databases (e.g. PostgreSQL) to optimize extraction and analysis of multivariate data use advanced knowledge and proficiency with a variety of statistical and computational techniques and develop scientific applications using R, Shiny and/or Python is needed. For example, implement these applications for analysis of a broad range of data sets.

• Work products and documents related to designing and implementing acquisition, presentation and processing frameworks for experimentation; developing software specifications; designing and implementing pipelines; evaluating framework to accelerate analysis stream; ensuring integration with stimulus control software; maintaining internal project’s documentation system. – Daily

• Work products and documents related to automating the process of downloading/updating share software; providing recommendations; training staff on programming, scripting, and documenting standard operating procedures for facility. – Daily

• Work products and documents related to acquiring, de-identifying, analyzing, and distributing datasets made publicly available. – Daily

• Develop scientific applications using R, Shiny and/ or Python. Develop or utilize new or existing technology to develop dynamic web applications or software tools for bioinformatics application. – Ad-Hoc

• Provide technical experience reviewing, analyzing, and modifying existing programming systems. Applying a variety of statistical and computational techniques to solve complex analytic problems. Apply knowledge of retional databases (e.g. PostgreSQL) to optimize extraction and analysis of multivariate data Use advanced knowledge and proficiency with a variety of statistical and computational techniques. – Ad-Hoc

• Apply a variety of statistical and computational techniques to solve complex analytic problems. For example, assist researchers with biostatistics and statistical modeling across a range of applications 1
• Apply knowledge of retional databases (e.g. PostgreSQL) to optimise extraction and analysis of multivariate data Use advanced knowledge and proficiency with a variety of statistical and computational techniques 2
• Develop scientific applications using R, Shiny and/or Python. For example, implement these applications for analysis of a broad range of data sets, including time series, transcriptomics and behavioral data 3
• Develop or utilize new or existing technology to develop dynamic web applications or software tools for bioinformatics application. 4
• Provide technical experience reviewing, analyzing, and modifying existing programming systems. 5

• Provides technical experience needed to assist in reviewing, updating, analyzing and modifying existing programming systems.

• Evaluate new analytic methods and software and adapt them if necessary.

• Work with staff to develop, test and refine novel programming methods, toolkits, and algorithms.

• Conceive of and create data processing pipelines that allow for the efficient movement, pre-processing and display of data.

• Improve communications between bespoke experimental equipment for storage and data processing. Provide technical experience reviewing, analyzing, and modifying existing programming systems. Provide scientific research and programming support for cutting edge technology and training in the areas of bioinformatics and computational biology.

• Encodes, tests, debugs and installs new programs using various programming languages.

• Develops and schedules data backups, security patches or upgrades, etc.

• Maintain and monitor applications, databases, or software tools.

• Collaborate with staff to develop database application and tools for supporting bioinformatics and scientific computing research projects.

• Maintain the lab’s software projects, including associated websites, documentation, code repositories, releases and improvements.

• Knowledge of Linux (especially Debian) to establish compliant repositories of data and laboratory information such as laboratory protocols.

• Documents all assignments and creates various reports as needed.

• Prepare roadmaps, schedules, status reports, plans and recommendations.

• Generate and run appropriate database queries needed for Quarterly Progress Reports.

• Assist with Computer Networking and systems integration.

• Writes and maintains program documentation.

• Prepare roadmaps, schedules, status reports, plans and recommendations.

• Generate and run appropriate database queries needed for Quarterly Progress Reports.

• Maintain and follow SOPs, configuration management, upgrades and availability.

• Provide feasibility studies and research for compatibility and ease of scientific databases use by researchers for extensive scientific data analyses

• Provide written technical descriptions of implemented algorithms; contribute to the publication of the lab’s software and research.

• Design, develop and deploy software for multi-core and high-performance computing systems.

• Documents programming problems and resolutions for future reference.

• Manage and troubleshoot deployments and image builds.

• Develop new code and refine/troubleshoot existing code.

• Troubleshoot scripts and programs to ensure successful use of said scripts and programs.

• Document in-house software for training and reference purposes.

• Provides assistance with planning, building and maintaining applications to meet an end user’s needs.

• Provide support for development of methods in data science.

• Provide support to facility users and staff; resolve or escalate issues based on criteria.

• Troubleshoots any issues or problems and implements appropriate corrective actions.

• Troubleshoot scripts and programs to ensure successful use of said scripts and programs.

• Document in-house software for training and reference purposes.

• Provides guidance and problem resolution for users.

• Provide database support and maintenance, including production data analysis to ensure data integrity, data correction with SQL and/or Java utilities, implementation of the new utilities for users and system administrators to support and correct data.

• Support hardware and biological software by providing technical support to staff.

• Provide guidance/problem resolution for users of personal computers/Macintosh/Unix systems.

• Evaluates impact of programming modifications.

• Plan and carry out quality control programs.

• Develop and implement new or major revisions to applications, databases, or software tools.

• Implement improvements to operations.

• Refines data and formats final product.

• Select appropriate statistical methods for use in quality control analysis to ensure the reliability and consistency of the data while measuring data limitations.

• Develop and implement backup strategies for all data and applications in central facilities and as needed at individual workstations; use redundant disk, server, backup and power systems.

• Design and develop bioinformatics databases to better support and advanced biomedical research.

• Transfer and transform data across different platforms or inter-change between software and integrate software and tools into a viable platform.

• Ability to have access the Animal Facility to be able to check on equipment and develop experimental equipment that is located within the facility.

Certifications & Licenses

• A minimum of a Bachelors degree in Computer Science, Computer Programming, or related field, and at least 3 years of experience required.

  • However a masters degree in computer science or related field with at least 3 years of related experience is preferred or higher

• At least 1 year of experience with statistical modeling experience needed.

Field of Study

• Computer Programming and Data Processing

• Computer Science

• Information Sciences

• Statistics and Decision Science

• Computer and Information Systems

Software

• MATLAB

• R languages

• PostgreSQL

• GitHub

• Linux

• Python and or Shiny

Skills

• Statistical modeling

• Database management

• Data visualization

• Server Hardware/Software management

• Web development skills

• Algorithm development