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Python Junior Developer - Ruminant Farm Systems

Cornell University

Job Description


Details

Posted: 21-Oct-23

Location: Ithaca, New York

Type: Full-time

Salary: Open

Categories:


Staff/Administrative

Internal Number: 3-73939


Python Junior Developer - Ruminant Farm Systems

Python Junior Developer - Ruminant Farm Systems (Hybrid/Remote)

*No Visa Sponsorship is available for this position.


About the College of Agriculture and Life Sciences

The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University's second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education and outreach. The questions we probe and the answers we seek focus on three overlapping concerns: natural and human systems; food, energy and environmental resources; and social, physical and economic well-being.


The Department of Animal Science offers undergraduate and graduate programs on the biology and management of food, laboratory, and companion animal species. Our research programs advance our understanding of animal biology and address local and global issues facing animal industries today. Our goals are to discover and develop new techniques and information to benefit animals, agriculture, and human health. The Department's 16 faculty members, many internationally recognized, have diverse interests in animal management, breeding, genetics, physiology, nutrition, and growth biology.


The Department of Animal Science's mission is to discover and disseminate new knowledge about the biology and management of domestic animals and to apply this knowledge to benefit society. Our department is devoted to undergraduate and graduate teaching, research, extension and outreach.


The Ruminant Farm Systems (RuFaS) is a next generation, dairy farm model coded in Python and managed within the Department of Animal Science. Scientists and industry professionals will use RuFaS to investigate and direct implementation of sustainable farming solutions. The project is led by a national team of university, USDA, and industry scientists. The design and structure of the model prioritizes transparency, flexibility, and adaptability so that connections between animal, manure, soil, and crop nutrient cycling can be simulated under a diverse array of farming practices and environmental conditions. RuFaS has been in development for 4 years resulting in substantial progress towards the release of the first version of the model. Our department is seeking an experienced Python Developer to add new functionality and update some exiting components to complete the first version of the model. To accomplish these objectives, the applicant will work closely with the current team of 8-10 developers and software engineers (both CS students and professional SW engineers) and a strong support team of subject-matter experts including 3 postdoctoral scholars, 2 PhD students and several university faculty and USDA scientists.


The Opportunity

  • This is a one-year appointment with possible extension depending on funding and performance.
  • This position is full-time (40 hours/week).

What We Need

Required Qualifications:

  • Bachelor's degree and up to two (2) years relevant experience or equivalent combination of education and experience.
  • 1+ years of Python Development experience.
  • Proficiency in Python.
  • Experience working with Pytest.
  • Proficiency in OOP.
  • Experience with model testing and evaluation.
  • Experience in TDD.
  • Excellent communication skills.
  • Strong attention to detail.
  • Experience in and/or demonstrated commitment to supporting diversity, equity, access, inclusion, and wellbeing.

*A cover letter and resume are required for further consideration for this position.

*No Visa Sponsorship is available for this position.

If you have all those things, great! We have a few more things that we would prefer you to have, but it's ok if you don't.

Preferred Qualifications:

  • Interest in or knowledge of agricultural systems.

What We Offer

Rewards and Benefits

University Job Title:

Applications Programmer II

Job Family:

Information Technology

Level:

E

Pay Rate Type:

Salary

Pay Range:

$68,736.00 - $79,882.00

Remote Option Availability:

Hybrid Remote

Company:

Endowed

Contact Name:

Maria Avila

Job Titles and Pay Ranges:

Non-Union Positions

Noted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria:

  • Prior relevant work or industry experience

  • Education level to the extent education is relevant to the position

  • Unique applicable skills

  • Academic Discipline (faculty pay ranges reflects 9-month annual salary)

Union Positions

Current Employees:

Online Submission Guidelines:


Employment Assistance:


Notice to Applicants:

EEO Statement:

Diversity and Inclusion are a part of Cornell University's heritage. We are a recognized employer and educator valuing AA/EEO, and we do not tolerate discrimination based on any protected characteristic, including race, ethnic or national origin, citizenship and immigration status, color, sex/gender, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.

Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff to all identities and backgrounds. We encourage individuals from underrepresented and/or marginalized identities to apply.

2023-10-19


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