(Senior) Scientist, Computational Neuroscience

Flagship Pioneering, Inc.•Cambridge, MA

3h•$115,000 - $209,000

About The Position

Flagship Labs 119 Inc. (FL119) is an early-stage technology company pioneering a new frontier at the intersection of neuroscience and computation. We are developing next-generation neuroimaging technologies to decipher the neural code and transform how intelligent systems are built. We believe that the future of artificial intelligence demands a fundamental rethinking of today’s paradigms. Our mission is bold and urgent: to build a future where naturalistic, robust intelligence can emerge and operate sustainably at scale. FL119 is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. At FL119, we are uniquely cross-functional and collaborative. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way. FL119 is seeking a Senior Scientist, Computational Neuroscience to join our team. Leveling is flexible based on experience. This role will focus on building scalable computational pipelines for biophysical modeling and applying machine learning techniques to large-scale neural datasets.

Requirements

MSc or PhD in Computational Neuroscience, Physics, Applied Mathematics, Computer Science, AI/ML, or a related field.
2+ years of full-time industry or postdoctoral experience (5+ years for MSc).
Strong experience with computational modeling of neural systems.
Hands-on experience applying machine learning or statistical methods to complex time-series data.
Proficiency in Python and scientific computing libraries (e.g., NumPy, SciPy, Pandas), and familiarity with ML frameworks such as PyTorch or TensorFlow.
Comfort working in high-ambiguity R&D environments and building novel methods from first principles.
Passion for working at the intersection of AI and experimental biology.

Responsibilities

Own the development of end-to-end computational pipelines for biophysical modeling of neurons and neural populations.
Implement machine learning and statistical inference methods to construct and analyze bio-realistic networks from neural recordings.
Actively shape the technical roadmap by proposing, prototyping, and evaluating modeling and inference approaches in close collaboration with the broader team.