Research Programmer II- Machine Learning & Computational Neuroscience, Kennedy Lab

Company: Scripps Research
Location: San Diego
Posted on: April 1, 2026

Job Description:

ABOUT US: Scripps Research is ranked the most influential institution in the world for its impact on innovation. We expand basic knowledge in the biosciences and use these fundamental advancements to develop profound innovations that improve wellbeing. Our educational and training programs mold talented and committed students and postdocs into leading edge scientists. Scientists in the institute’s five academic research departments work hand-in-hand with researchers of the Scripps Research Translational Institute and Calibr to merge foundational studies in biology, chemistry and computer science with translational science to produce pioneering drugs and advances in digital and precision medicine. Together, we cultivate new scientific leaders and expand the frontiers of knowledge to deliver medical breakthroughs to better human health around the globe. If you have a passion for making a difference, this could be your opportunity to join our transformative team. POSITION TITLE: Research Programmer II (Software Engineer) POSITION SUMMARY: The Kennedy laboratory is involved in numerous projects to track, quantify, and forecast behavior and relate it to recorded neural activity. We develop new computational methods to understand how agents (animals, humans, virtual) gather information about their sensory environment, integrate this with internal motivational needs, and execute goal-directed actions in complex, naturalistic environments. We seek motivated postbaccalaureates interested in gaining hands-on experience in scientific research projects, with a goal of contributing to scientific papers and participating in an active lab environment. You will also have the opportunity to lead independent research projects on existing datasets from our collaborators (U Penn, UCLA, Harvard, U Utah, Northwestern, and others). This is an ideal position for applicants interested in building their scientific CV ahead of applying to graduate programs in Computational Neuroscience or Machine Learning, or those looking for a longer term position where they can contribute to original scientific research and model development. REQUIREMENTS: Bachelor’s degree in Engineering, Computer Science, Data Science, Applied Math, or related field, or an equivalent combination of education, training and/or experience. Other STEM degrees may be accepted if accompanied with programming education, training, and/or experience. Minimum of two years experience in software application development or research programming. Experience with software development in Python. Experience building and training deep neural networks for supervised, unsupervised, or reinforcement learning problems. A demonstrated ability to apply the fundamentals of software application development. Experience with version control, including git and github. Please include code samples and/or a link to a public code repository with examples of your work. PREFERRED SKILLSET: Prior experience with the one or more of the following is preferred: Experience with sequence/time series data, control/reinforcement learning problems and environments, time series forecasting. An understanding of generative modeling (hidden Markov models, diffusion models, etc). Familiarity with topics in motor control, robotics, and neuroscience. As a member of a computational lab working in team projects, the following general skills are also preferred: Experience developing scalable system architectures that adhere to good software engineering principles. Ability to tackle large, open-ended research questions independently and as part of a team. Willingness to be an active participant in a computational lab environment, including taking part in lab meetings, journal clubs, and hackathons. Experience working within a diverse, interdisciplinary team. Experience contributing to open source software projects. LOCATION: La Jolla, California. PHYSICAL REQUIREMENTS : This position works in an office environment. Further details of the physical requirements of established essential functions for this position will be addressed/discussed during the interview process. COMPENSTAION: The expected hiring range for this position is $70,304 to $80,000 per year, commensurate with experience. Consideration will be given to experience that exceeds the listed requirements. COMPREHENSIVE BENEFITS INCLUDE: Eligibility for retirement plans with employer contribution. Full suite of Health and Welfare plans including three medical plan options (including an HSA available option), dental, vision, life insurance, disability, EAP and more. Access to Flexible Spending Accounts (Medical/Dependent Care). Remote/Hybrid/Flexible work schedules (Dependent on role). Competitive vacation and sick leave policies. Free, on-site Counseling Center which provides confidential counseling services to benefits-eligible employees and their family members. Free, on-site parking. The above statements describe the level of work performed and expected in general terms. The statements are not intended to list all the responsibilities, duties and/or skills required of employees so classified, and the content herein is subject to change due to the business needs of Scripps Research, with or without notice. Furthermore, nothing in this job description shall be interpreted to be in conflict with or to eliminate or modify in any way the employment-at-will status of Scripps Research staff. EEO Statement: The Scripps Research Institute is an Equal Opportunity Employer. We promote diversity of thought, culture and background in the fields of science. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.

Keywords: Scripps Research, Calexico , Research Programmer II- Machine Learning & Computational Neuroscience, Kennedy Lab, Science, Research & Development , San Diego, California