Scientific Programmer (Space Physics)
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.