Data Engineer- NIH

Deliverables:

• 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 projects 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 deidentifying 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. AdHoc
• 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. AdHoc

Work Details:

• 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 relational 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 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 preprocessing 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 labs 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 labs software and research.
• Design develop and deploy software for multicore and highperformance 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 inhouse software for training and reference purposes.
• Provides assistance with planning building and maintaining applications to meet an end users 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 inhouse 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 interchange 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.

1 2 3 4 5 represents priority rankings where 1 is highest priority and 5 is lowest priority of those ranked

Minimum Education

Bachelors degree

Additional Qualifications:

• 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
• PostgreSQL
• GitHub
• Linux
• Python
• Shiny

Skills

• Statistical modeling
• Database management
• Data visualization
• Server Hardware/Software management
• Web development skills
• Algorithm development