Computational Research Database Engineer

Updated: 3 months ago
Location: West Lafayette, INDIANA

Job Summary

The Diet-Microbiome Interactions Laboratory , led by Dr. Stephen Lindemann, is seeking a part-time (20 hrs/week) Computational Research Scientist. This position involves software engineering and algorithm implementation for computational biology tools and analyses. This position will oversee the development and dissemination of novel and publicly available bioinformatic tools and suites. Further, this role is responsible for developing automated solutions to common lab problems and pipelines, as well as working with students and staff on adopting new software tools and practices to increase lab efficiency. The successful candidate will also participate collaboratively in the generation of scientific manuscripts and reports to collaborators and industrial partners.


What You'll Be Doing:
  • Develop bioinformatic software packages for analysis and visualization of biological big data generated in the lab
  • Design pipelines to automate lab tasks and increase data provenance
  • Identify new software and hardware solutions that may be useful to the general lab
  • Contribute to dissemination of research results in publications and presentations

What We're Looking For:
  • Bachelor’s degree in Computer Science, Software Engineering, or related fields
  • 4 years of relevant, professional experience.  Examples of relevant experience include:
    • Designing and implementing Python packages
    • Maintaining software projects that have multiple collaborators and end users
    • Full-stack development experience designing, implementing, and maintaining databases, web services, GUIs, and CLIs
    • Creating automated pipelines for data collection and reporting
    • Experience with end user interactions
  • In lieu of degree consideration will be given to an equivalent combination of related education and required experience (Associate's degree + 6 years of experience; HS/GED + 8 years of experience)
  • Expertise in command-line computing, HPC/cluster computing and coding in Python, and able to access literature and implement published algorithms
  • Excellent oral and written communication skills
  • Familiarity with developing software for scientific and experiment-based workflows
  • Ability to communicate across disciplinary lines, especially life scientists
  • Demonstrable knowledge of good version control, documentation, and release strategies

What We'd Like You to Know:
  • This is a part-time (50% FTE; approximately 20 hours per week) position. Benefits do apply.
  • This position provides a hybrid work schedule.
  • Learn more about Purdue’s benefits summary, https://bit.ly/3sHGbls
  • Purdue will not sponsor employment authorization for this position
  • A Background Check is required for employment in this position
  • FLSA: Exempt (Not Eligible For Overtime)
  • Retirement Eligibility: Defined Contributions Waiting Period
  • Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply

What We'd Like You to Know:

All university employees are afforded a generous benefits package, https://www.purdue.edu/hr/benewell/index.php, including medical/dental/vision insurance, paid time off, and retirement contributions. As part of Purdue University’s expansive employee benefit package, the University is proud to offer its employees the opportunity to grow, learn, and advance by offering a tuition remission opportunity at both Purdue University and Purdue Global.


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