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Animal Software Developer Jobs in Tennessee (NOW HIRING)

Animal Software Developer information

What are Animal Software Developers?

Animal Software Developers are professionals who design, develop, and maintain software applications specifically tailored for use in animal-related fields. This can include veterinary practice management software, animal tracking systems, wildlife monitoring tools, and applications for animal research or pet care. They combine knowledge of software engineering with an understanding of animal science or industry needs to create effective technological solutions. The role may involve collaborating with veterinarians, researchers, or animal welfare organizations to ensure the software meets practical requirements.

What are the key skills and qualifications needed to thrive as a Software Developer, and why are they important?

To thrive as a Software Developer, you need strong programming skills, problem-solving abilities, and a relevant degree in computer science or a related field. Familiarity with languages like Java, Python, or C++, as well as experience with version control systems (e.g., Git) and development frameworks, is typically required. Collaboration, adaptability, and effective communication are crucial soft skills for working in dynamic teams and understanding project requirements. These skills ensure the development of high-quality, maintainable software that meets user needs and business goals.

What are some common challenges faced by Animal Software Developers when creating applications for animal health and welfare?

Animal Software Developers often encounter challenges related to integrating diverse data sources, such as veterinary records, wearable sensors, and environmental monitors. Ensuring the accuracy and reliability of animal-related data can be complex due to variability in data formats and the need for real-time processing. Additionally, developers must design user-friendly interfaces for veterinarians, researchers, and caretakers who may have varying levels of technical expertise. Collaborating closely with animal health professionals is key to understanding the practical needs and constraints of the end users.

What is the difference between Animal Software Developer vs Animal Technician?

AspectAnimal Software DeveloperAnimal Technician
Required CredentialsBachelor's in Computer Science or related field, programming skillsAssociate's or Bachelor's in Animal Science or related field, technical training
Work EnvironmentOffice, research labs, or remoteVeterinary clinics, animal shelters, research facilities
Industry UsageTech companies, research institutions, biotech firmsVeterinary practices, animal care facilities, research labs

Animal Software Developers focus on creating software solutions for animal-related industries, requiring programming skills and tech knowledge. Animal Technicians assist with animal care and support in clinical or research settings. While both roles serve the animal industry, their skills and work environments differ significantly.

What job categories do people searching Animal Software Developer jobs in Tennessee look for? The top searched job categories for Animal Software Developer jobs in Tennessee are:
What cities in Tennessee are hiring for Animal Software Developer jobs? Cities in Tennessee with the most Animal Software Developer job openings:
Sr Staff Image Data Scientist -- Time-Series & Neuroscience

Sr Staff Image Data Scientist -- Time-Series & Neuroscience

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Re-posted 27 days ago


St. Jude Children's Research Hospital rating

8.4

Company rating: 8.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

64th of 1,020 rated hospitals


Job description

Job Summary:
St. Jude Children's Research Hospital is a leading institution focused on understanding brain development and function through innovative computational research. The Sr Staff Image Data Scientist will be responsible for architecting and developing image analysis platforms, utilizing statistical and machine learning techniques to extract insights from complex biological data.
Responsibilities:
• Develop statistical, time-series, and machine learning techniques to extract meaningful insights from complex biological data (large-scale neuroimages, light and electron microscopy, animal behavior, histopathology, etc).
• Collaborate with scientists and researchers to design experiments and optimize data acquisition protocols for effective downstream computational analysis.
• End-to-end image analysis from pre-processing and data cleaning to reporting results.
• Stay up-to-date with the latest advancements in the field of data science.
Qualifications:
Required:
• A Ph.D. or equivalent degree in mathematics, statistics, computer science, neuroscience, physics or a related field.
• Strong background in statistical analysis and machine learning algorithms.
• Proficiency in programming languages such as Python, R, MATLAB, or similar languages commonly used in scientific computing.
• Strong expertise in time-series analysis, image and signal processing, and data visualization.
• Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team-oriented environment.
• Strong communication skills to effectively convey complex concepts and results to both technical and non-technical stakeholders.
• Bachelor's degree plus 8 years experience required.
• Work experience in relevant area (e.g., applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering or related field).
• Demonstrated technical thought leadership in an applied computational field (e.g., computer vision, deep learning, numerical optimization, image analysis, computer game design, scientific computing, fine element analysis, scientific visualization).
• Substantial experience in image analyses, image data management, and programming (e.g., Python, R, Matlab, Java, C/C++).
• Proven performance in earlier role/comparable role.
Preferred:
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and high-performance computing environments is a plus.
• Master's degree plus six (6) years experience or PhD plus four (4) years experience preferred.
• Experience in biological/medical imaging, deep learning, image analysis platforms (e.g., ImageJ/Fiji, CellProfiler), scientific computing, scientific data visualization, scientific computer code optimization and evaluation in an HPC environment, development of algorithms, statistical methods or scientific software, working with large image data volumes, biological/medical imaging preferred.
Company:
St. Founded in 1962, the company is headquartered in Memphis, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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