Predictive Science Incorporated (PSI), an employee-owned company in San Diego, California, is in immediate need of a full-time (or part-time) scientific programmer to support our space physics team.

Description

The ideal applicant should be eager to learn various new and applied programming skills that enable PSI to better serve the scientific community and government customers with modeling and data analysis products. They will work closely with our team of scientists and software engineers on model automation, run organization, data visualization, user interaction, and open-source software dissemination.

While programming experience in science or engineering contexts is preferred, we primarily seek applicants with a natural curiosity and keen interest in problem-solving. Specific projects and tasks will be tailored to the successful applicant's interest and experience.

Salary and an extensive benefits package are competitive and commensurate with experience and qualifications.

Qualifications

- Bachelor's degree in the physical sciences, computer science, or another related STEM field.
- Applicants with Masters or PhD degrees in STEM are also encouraged to apply.

Preferred Experience (one or more of)

- Scripting, scientific computing, or data visualization, e.g. Python, Bash, C/C++/Objective C/Swift, Java,
   Fortran, or Matlab/IDL/R.
- Frontend web interaction or frameworks, e.g. Plotly, React, Django, JavaScript.
- Database and Data Interaction Infrastructure, e.g. SQL, SQAlchemy, or Pandas.
- Familiarity with open-source software principles and current paradigms.

Application

Predictive Science Inc. is committed to diversity in the workplace and is an equal-opportunity employer. Given the current situation with COVID-19, we anticipate that the successful candidate may need to work remotely, at least in the near term; however, they must be legally authorized to work in the United States.

All applications must include a cover letter, CV, and the names of three references. Send applications and/or inquiries to Meaghan Marsh at mmarsh@predsci.com.