Benefits We Offer:

• 100% Medical, Dental & Vision Coverage for Employees
• Paid Time Off and Paid Holidays
• 401K match up to 5%
• Educational Benefits for Career Growth
• Employee Referral Bonus
• Flexible Spending Accounts:
  • Healthcare (FSA)
  • Parking Reimbursement Account (PRK)
  • Dependent Care Assistant Program (DCAP)
  • Transportation Reimbursement Account (TRN)

Overall Position Summary and Objectives

The purpose of this position is to support research within NIA-IRP including recording and cleaning data, data analysis, computer server maintenance, website maintenance and software development and installation.

Deliverables:

• Inspect Equipment - Weekly
• Meet with lab members to present updates - Weekly
• Patch and update server software - Monthly

Work Details:

• Support and maintain scientific computer systems including hardware, operating systems, and associated services in a high-performance computing environment. - 1
• Provide systems analysis and bioinformatics support for large scale sequencing projects. - 2
• Perform algorithm development and implementation. - 3
• Perform statistical analysis of experimental data obtained at various time points. - 4
• Develop and test web applications. - 5
• Provides technical experience needed to perform analyses, processing and user support of various computer systems using standard statistical procedures and techniques.
• Provide statistical support to staff, including data analysis and the generation tools for researchers to use.
• Provide support and consultation in the areas of scientific computation, application-development and computer modeling.
• Design, develop, document, analyze, create, test and modify computer systems, programs and integrations.
• Sets up and uses various computer systems and software packages.
• Provide performance tuning, hardware upgrades, and resource optimization across the full range of scientific high-performance computing architecture.
• Provide software solutions across diverse scientific applications including large and complex multi-component resources.
• Collaborate with staff to increase the productivity/efficiency of data analysis using high-performance computing.
• Implement improvements to development activities to speed development of applications, databases, or software tools.
• Determine needs and provide IT support for computerized systems supporting activities.
• Work with staff on the evolving infrastructure, data engineering pipeline, and data science stacks.
• Compiles and manages data and assists with quality control.
• Develop custom computer applications for collecting and analyzing data, including some that interface with commercial and custom built hardware.
• Perform troubleshooting, interpretation of results and analysis.
• Utilize knowledge of data structure, data management and various programming language.
• Manage data formatting input and output.
• Perform quality assurance and quality control; troubleshoot issues with image analysis and quality.
• Analyze results of the data that are collected during experimental studies; perform statistical analysis using statistical analysis software.
• Drive collection of new data and the refinement of existing data.
• Produces various reports, graphs and figures for presentation.
• Prepare data and analysis for presentations and publication.
• Present results in graphical using appropriate language.
• Prepare research data for presentation and manuscripts.
• Interface with the statistical programming team to develop programming standards and assist the team with validation and change control documentation.
• Enhance efficient and effective presentation of information, content, images and graphics online and through the digital platforms.
• Trains users in applying systems and analysis methods.
• Plan, organize and coordinate formal and informal IT related training and orientation of IT initiatives.
• Support and train users in applying data analysis pipelines and methods for research studies.
• Conduct educational courses on basic scientific computing, data analysis scripts and pipelines.
• Consult and collaborate with users to explain new tools and enable them to be adapted to meet specific research needs.
• Maintains systems software as well as hardware and security configurations.
• Support and maintain commercial scientific software and freeware relevant to analyses and scientific discovery.
• Maintain system software, hardware configuration, and security, as well as upgrade of the software as necessary to maintain security.
• Deploy security measures to maintain integrity of data.
• Maintains interface software between multiple computer environments to ensure smooth operation and communication.
• Perform routine audits of tracking database and packages.
• Collaborate with staff to increase the productivity/efficiency of data analysis using high-performance computing.
• Develops new programs and systems as needed.
• Design and maintain data analysis pipelines for research data.
• Develop customized software to detect and measure specific structures and events of interest for statistical analysis and testing specific hypotheses.
• Create specialized computer software to effectively and automatically analyze experimental data.
• Develop dedicated and efficient computer software using state of the art computer science approaches, including modern programming languages and coed libraries, machine learning, cross-platform programming, and high-performance computing.
• Develop scripts to automate data processing pipelines.
• Develop and implement new or major revisions to applications, databases, or software tools.
• Research new technologies, standards and systems to improve existing products and websites.
• Coordinates data storage and mining.
• Manage a data storage and backup for scientific computers using available resources.

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

Minimum Education:

Bachelor

Additional Qualifications:

Certifications & Licenses

• Preferred Master's Degree

Field of Study

• Genetics

Software

• BioConductor
• Scikit-learn
• Javascript
• Matplotlib
• TensorFlow
• RMarkdown
• Ggplot2
• MongoDB
• PyTorch
• MATLAB
• Nodejs
• Oracle
• Pandas
• Plotly
• Python
• Scrapy
• SQLite
• Dplyr
• HTML5
• Keras
• Linux
• MySQL
• NoSQL
• NumPy
• SciPy
• Shiny
• PHP
• JavaScript
• STATA
• Bash
• HTML
• Java
• Perl
• SPSS
• Unix
• C++
• Git
• SAS

Skills

• Scientific Data analysis
• Algorithm development
• Statistical modeling
• Database management
• Data visualization
• Data presentation
• Machine learning
• Data annotation
• Exome analysis
• Data cleaning
• Data analysis
• Data mining
• Research
• Scientific Computing using GPU
• Website Development Maintenance
• Imaging
• LIMS

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.

Salary Range: $95,000 USD - $105,000 USD