Research Fellow

  • The Humane League
  • Remote
  • Nov 07, 2019
Intern Remote Job Research

Job Description

WHO WE ARE

The Humane League is an international nonprofit ending the abuse of animals raised for food through institutional and individual change. The Humane League Labs (THL Labs) is the research arm of The Humane League, and our mission is to inform advocacy strategies through actionable research on their effectiveness.  We are seeking a creative, resourceful and self-motivated Research Fellow to participate and assist in data collection, analysis and reporting for research projects related to farm animal advocacy.

YOUR OPPORTUNITY

As a fellow, you will:

  • Contribute to real-world research projects that positively impact the lives of animals.

  • Develop your professional research skills, and enhance your resume.

  • Collaborate with animal protection professionals, and build lasting relationships with like-minded activists who share your values.

  • Experience the work culture of The Humane League, and learn what it’s really like to work within the animal protection movement.

  • Bring to your work a desire to learn and grow. 

CORE RESPONSIBILITIES

  • Develop well-written and well-documented code to clean, analyze and visualize data gathered in research.

  • Assist in drafting final reports documenting methodologies, data, analysis and conclusions and revise them in a highly collaborative environment.

  • Help develop statistical approaches and metrics; evaluate biases and controls in experimental methodology.

  • Participate in the development of the rationale behind the data analysis; make logical inferences and generate meaningful conclusions from the results.

  • Participate in the development of creative ideas for future research projects and extensions of existing analyses.

QUALIFICATIONS

  • Exemplify a strong commitment to The Humane League’s philosophy and activism methodology. 

  • This fellowship requires a time commitment of 20 hours per week.

  • The Humane League offers school credit or a paid stipend as compensation for your time. The stipend for this fellowship is $2400.

  • Must be over 18 years old, have a high school diploma, GED, or college diploma.

  • Comfortable writing clear, testable, well-documented computer code, especially in languages typically used in data science such as R or Python. 

  • An elementary background in statistics and an aptitude for mathematical reasoning. 

  • Ability and willingness to clearly communicate the complexities and subtleties of their work both verbally and in writing.

  • Familiarity with research methods, scientific principles, and philosophies (e.g., survey methodologies, experiment design, randomized controlled trials, or causal inference from observational data).

  • Strong analytical skills accompanied by steadfast curiosity and technical creativity.

  • A disposition that favors evidence-based reasoning and critical thinking.

  • Attention to detail and a commitment to maintaining high quality and accuracy in all research output.

  • A deep and enduring commitment to high standards of ethics in research including, but not limited to, matters of data use and storage, handling of privileged information, attribution of credit, conflicts of interest, protocol compliance, and correction of errors. 

*Please note, this application closes on November 27, 2019.

You agree that the fellowship does not create an "employment" relationship under the Fair Labor Standards Act ("FLSA") or any other definition, and the FLSA's minimum wage and overtime provisions do not apply. This fellowship does not replace or displace any employee of The Humane League, and The Humane League does not derive an immediate advantage from the activities performed by you.

The Humane League is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please email our People Operations team and let us know the nature of your request and your contact information.