As a Neuroscience Community Engineer, you will act as the liaison between the systems neuroscience community and the technical staff team. You will maintain high-quality teaching and documentation materials and promote our resources at external events such as conferences, courses and hackathons. You will assess our impact on the field by developing analytics and tracking adoption metrics. Beyond traditional outreach, you will also maintain AI-driven workflows to streamline how scientists interact with and utilize neuroscientific data with modern LLMs.

Key Responsibilities

• Technical Documentation: Author, deploy, and manage public-facing documentation for the IBL portfolios of datasets and tools.

• Teaching Assistant: Author and deliver systems neuroscience tutorials and courses at remote and in-person events.

• Impact Analytics: Quantify the reach of our resources by tracking citations, download metrics, and data re-use across the field.

• AI Integration: Maintain AI agentic workflows for the community to access and interact with our data: prompts, agent files, skill files, MCP.

• Data Publishing and Dissemination: Lead the preparation and release of large datasets, optimizing formatting, metadata, and accessibility to maximize community uptake.

Skills and Attributes for Success

• Neuroscience Expertise: Knowledge and understanding of the field of systems neuroscience current landscape.

• Scientific Programming: autonomy in using our scientific libraries and reproducing existing results for building teaching materials.

• Communication: Exceptional public speaking skills

• Mobility: Ability to travel overseas approximately one week per month for conferences and workshops.

• AI Adopter: Enthusiastic about AI for science technologies

Minimum Qualifications

• Education: Master’s degree in Computer Science, Neuroscience, or a related field.

• Expertise: 2+ years of experience in systems neuroscience.

Preferred Qualifications

• Experience as a TA

• Experience releasing and maintaining open-source datasets

As a Research Software Engineer / Data Scientist, you will provide the technical backbone for a global neuroscience collaboration. You will ensure the completion of the technical aspects of our scientific projects from experimental hardware to final scientific analysis, maintaining rigorous engineering standards while directly contributing to the field's body of research. You will leverage AI-driven methodologies to automate complex data workflows, accelerating the transition from raw neural signals to biological insights.

Key Responsibilities

• Software Engineering. Develop, deploy, maintain and operate software and hardware to collect and analyze experimental neuroscience data at worldwide partner sites.

• Scientific Contribution. Assist collaboration scientists to analyze data and co-author scientific publications.

• Technical team player

• Quality Assurance. Promote ML and software best practices including data versioning, reproducibility, version control, testing, packaging..

• AI for Science Acceleration. Experiment and promote AI tools in the data analysis process. Ensure AI-driven results are accurate, reproducible and adhere to high ethical and integrity standards.

• Communication. Communicate around the software infrastructure and produce materials such as documentation, tutorials and courses for both internal and external audiences.

Skills and Attributes for Success

• Ability to design, run, and analyze experiments independently

• A meticulous approach to data quality, ensuring datasets are clean, validated and ready for scientific usage

• A commitment to engineer reliable and scalable solutions

• Strong collaborative and problem-solving abilities

Minimum Qualifications

• Master’s degree in Computer Science, Neuroscience or related area of study

• Expertise: 2+ years of experience in systems neuroscience.

• Professional proficiency in Python

Preferred Qualifications

• Direct experience in systems neuroscience

• Hands-on experience with ETL/ELT pipelines and data orchestration

• A track record of contributing to or maintaining open-source projects.

Proficiency in a deep learning framework (PyTorch or JAX) and familiarity with foundation models or neural data transformers

How to apply

We are excited to learn more about you! To ensure your application is processed correctly, please follow these steps:

• Complete the Application Form: Submit your details via our Application Form .

• Required Documents: Please have the following files ready to upload within the form:

• An updated CV/Resume.

• A Motivation Letter outlining why you are the perfect fit for this role.

• Contact information for 2 or 3 professional references.

• Deadline: All applications must be submitted by May 8th.

What to Expect Next

To give our team enough time to carefully review every application, please note that we will begin our outreach and send replies starting after May 15th. We appreciate your patience and your interest in joining us!

The International Brain Laboratory prides itself for creating an all-inclusive environment. Teamwork is highly valued, individual strengths are recognised and celebrated, and there is a commitment to advancing the careers of everyone, regardless of gender or role. We aim to provide a family friendly environment where both women and men feel able to take the time they need for family. We endorse the Athena SWAN Charter, which recognises commitment to advancing women's careers in science, technology, engineering, mathematics and medicine (STEMM) employment in academia.

Diversity in the Workplace

Our collaboration recognises that in our society, individuals and groups are discriminated against both directly and indirectly on the grounds of: age, colour, disability, ethnic origin, gender, HIV status, marital, social or economic status, nationality, race, religious beliefs, responsibility for dependents, sexual orientation, trades union membership or unrelated criminal convictions.

To counteract discrimination, our collaboration is committed to actively opposing all forms of discrimination, raising awareness and tackling the causes and consequences of discrimination. It is committed to providing a learning and working environment in which the rights and dignity of all its members are respected and which is free from discrimination, prejudice, intimidation and all forms of harassment including bullying; to making staff and students feel valued, motivated and enabled to do their best work and to creating a safe, welcoming working environment accessible to all.