MAST Training Materials Developer

Submission Information
Publish Date: 
Tuesday, March 29, 2022
Archive Date: 
Tuesday, April 26, 2022
Job Summary
Job Category: 
Other
Institution Classification/Type: 
Other
Institution/Company: 
ScienceBetter Consulting
City: 
New York
State/Province: 
NY
Country: 
United States of America
Announcement
Job Announcement Text: 

ScienceBetter Consulting, via a contract with STScI, is seeking multiple part-time contractors to develop training materials demonstrating the functionality of the Barbara A. Mikulski Archive for Space Telescopes (MAST) data archive. MAST hosts data from over a dozen missions like Hubble, GALEX, TESS, and JWST. The objective of these materials is to expand the MAST user base and lower the barrier to entry to using MAST tools for astronomical research. 

We are seeking a contractor or contractors to develop tutorials highlighting MAST functionality relevant to astronomical data reduction and analysis. The topics and scope of the tutorials will be determined in collaboration with STScI staff. The tutorials will be written as Jupyter Notebooks in the Python programming language. The intended audience of the tutorials is the broad MAST user base, from undergraduate researchers to professionals, and should focus on the most common use case scenarios. 

Ideal candidates would have experience with the Python programming language and relevant astronomical software; analysis of data hosted by MAST (e.g, HST, Kepler, TESS); the MAST archive and its APIs; and working collaboratively on GitHub. Past experience with developing training materials is not required but an ideal candidate would have a demonstrated interest in computational training and education.

These services are expected to be completed remotely. Contractors will be expected to participate in regular telecons. 

The work needs to be completed by Sept 30, 2022 so we are particularly interested in candidates who are available to start work immediately. All applications received by April 25 will receive full consideration.

To apply, please send an email to [email protected] with a resume attached and a description of your interest in the role in the body of the email. Also include specific examples of relevant experience and its outcomes (e.g. include screenshots, links to pull requests). Please also describe your availability between now and Sept 30, 2022.

Pay Compensation
Hourly Rate Min: 
$75.00 (USD)
Hourly Rate Max: 
$130.00 (USD)
Compensation Notes: 
based on experience.
Application Deadline: 
Tuesday, May 31, 2022
Selection Deadline: 
Tuesday, May 31, 2022
Current Status of Position: 
Accepting Applicants
Apply to Job
Attention To: 
Kelle Cruz
Inquiries About Job