Teaching Assistant

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Essential Duties and Responsibilities:

• Directly support their assigned students during every session to ensure students successfully complete every lab assignment.
• Evaluate and submit written grades for their student’s solutions to every assigned task in the course using a rubric of output correctness, accuracy, precision, efficiency, and runtime speed compared to the approved solutions.
• Take, track, and report on the attendance of each of their assigned students for every session throughout the workshop, including ensuring students arrive on time and stay online throughout each session.
• Serve as the first point of contact to answer technical questions (via 1:1 Zoom chat) from their assigned students while the primary instructor delivers the course material to the class.
• Lead their “TA Time” informal sessions allocated on the syllabus using Zoom breakout rooms to allow their students to collaborate to complete the assignments and explore extensions of the hands-on labs.
• Ensure all their assigned students can get the QIS102 software development tools and Python virtual environment working on each student’s computer.
• Remotely debug any Python code their assigned students have written that is not compiling or running correctly using Zoom. 
• Ensure they are personally completely familiar with the learning objectives and lab assignment requirements for every session in the course.
• TAs must attend every session, complete every lab, and upload their solutions to the QIS102 SharePoint site, whereupon the primary instructor will evaluate their work and provide feedback and suggestions.

Required Knowledge, Skills, and Abilities:

• BA/BS degree or equivalent experience, preferably in Computer Science, Mathematics, or Physics.
• Outstanding verbal and written communication skills, including speaking clearly, simply, and patiently with students who may be non-native English speakers and have limited initial skills.
• Expert skills at debugging Python code and writing Python code using industry best practices for software development.
• Must strongly desire to educate and inspire junior colleagues to help them master new QIS skills.
• After-hours availability will be required, including reviewing material again with students and troubleshooting their code.
• Must show respect for support for diversity, equity, and inclusion principles and guidelines.

Preferred Knowledge, Skills, and Abilities:

• Python 3.11+ and be familiar with creating and managing virtual environments for Python using Conda and Pip.
• Experience using an integrated development environment such as Visual Studio Code, PyCharm, or Thonny.
• Knowledge of command line interfaces (Apple iTerm2, Windows PowerShell, Linux shells, etc.) to manipulate files and folders.
• Previously completed courses in linear algebra, trigonometry, probability and statistics, multivariable calculus, differential equations, and complex analysis. Ideally, will have taken a course in quantum mechanics.
• Experience using Microsoft Excel, PowerPoint, SharePoint, or Google Drive.

Environmental, Health & Safety Requirements:

• Any information pertaining to the environment, health or safety requirements for a position that will be considered when evaluating a candidate (e.g., details from JAF)

Other Information: 

• This position will be entirely remote for the duration of the term.
• BNL will not provide visa sponsorship for this position.

Brookhaven Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $16.50 - $29.50 p/h. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group.

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About Us

Brookhaven National Laboratory (www.bnl.gov) delivers discovery science and transformative technology to power and secure the nation’s future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy’s (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National Laboratory.

Equal Opportunity/Affirmative Action Employer

Brookhaven Science Associates is an equal opportunity employer that values inclusion and diversity at our Lab. We are committed to ensuring that all qualified applicants receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a veteran, disability or any other federal, state or local protected class.  BSA takes affirmative action in support of its policy and to advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.  *VEVRAA Federal Contractor

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