Scientific Computing Associate - VR Technologies for Social Neuroscience

Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147

Current HHMI Employees, click here to apply via your Workday account.

The Howard Hughes Medical Institute's Janelia Research Campus is a pioneering research center in Ashburn, Virginia, where scientists pursue fundamental questions in the life sciences. Our integrated teams of biologists, computational scientists, and tool-builders innovate research practices and technologies to solve biology's deepest mysteries. HHMI launched Janelia in 2006, establishing an intellectually enriching environment for scientists to do creative, collaborative, hands-on work. We share our methods, results, and tools with the scientific community.

Please include a cover letter with your application. Be sure to highlight your coding experience and explain how your enthusiasm and ability to learn quickly can help you succeed in this role-even if you don't meet every listed requirement.

About the Role:

The Scientific Computing Associate (SCA) position represents an alternative to traditional scientific roles (e.g. postdoc) and provides an ideal environment to establish a career in computational research or software engineering. The position aims at developing qualifications and experience in computational research and professional software engineering in a research environment that enables the candidate to pursue their future career in science or industry. The SCA position is a time-limited appointment for 24 months, with discretionary renewal for a final 12-month term (maximally 36 months in total.)

We are seeking a talented and motivated computational scientist to develop and deploy cutting-edge experimental platforms that integrate dynamic virtual reality environments with precise neural and behavioral measurements in animal subjects (fish and flies) for the study of social learning and collective behaviors. This will require synchronization of and logging from many system components (video acquisition, animal tracking and pose estimation, microscopy image acquisition and/or physiological recordings, video game engines, multiple displays, etc.) as well as development of geometrically precise, reconfigurable, closed-loop virtual social paradigms that can be reproduced across animal subjects. By integrating real-time behavioral and neural measurements with virtual social environments, we enable neuroscientists to measure and model social behaviors in new and creative ways.

• A supportive team environment that promotes collaboration and knowledge sharing.
• The opportunity to engage with world-class researchers, software engineers and AI/ML experts, contribute to impactful science, and be part of a dynamic community committed to advancing humanity's understanding of fundamental scientific questions.
• Amenities that enhance work-life balance, such as on-site childcare, free gyms, available on-campus housing, social and dining spaces, and convenient shuttle bus service to Janelia from the Washington D.C. metro area.

• Clock synchronization across heterogeneous data streams, determined by hardware/software.
• Build a robust synchronization layer to ensure < 8 ms end-to-end latency for sub-frame accuracy in high-frequency behavioral streams.
• oRigorous metadata and I/O logging to guarantee reproducible analysis pipelines.
• Debugging driver/firmware bottlenecks in DAQs, GPUs, and cameras. (Interfaces with diverse hardware: cameras, DAQ boards, GPUs, head-mounted displays, lasers/scanners.)
• Performance optimization for low-latency, precise, & dynamic virtual environments.
• Develop reproducible open- and closed-loop virtual social environments and interactions using virtual fish and flies with hard-coded, dynamic, or agent-based movement rules (working in close collaboration with experimentalists).

• Organize software packages that generalize across fish and fly experimental setups with intuitive user interfaces that can be implemented within and beyond the Janelia Research Campus.
• Compose documentation for reproducibility, clear metadata standards, and user-friendly interfaces (modular APIs and wrappers so experimentalists can use GUIs/editors instead of diving into C#/low-level code).
• Strong Git-based version control workflows and containerization for reproducible deployments.
• Potential opportunity for publication of this suite of tools in a methodological journal.

• A degree in computational sciences or equivalent (M.Sc. or Ph.D).
• Experience with C# and Python programming (async/multithreading) languages.
• Experience with real-time programming.
• Experience with machine learning, big data, signal processing preferred.
• Experience in solving complex problems independently.
• Good communication skills, comfortable working collaboratively in a team environment.
• Experience with the following will be extremely useful: messaging frameworks (e.g. sockets; currently UDP client used to communicate between Bonsai RX, animal tracking software, DAQs, and Unity), ROS-like systems, machine vision, GPU programming, shared memory, agent-based modeling, and/or game development.