Senior Scientist, Computational Neuroscience — On-site Cambridge

flagshippioneeringinc; Cambridge; On-site; GBP 103,000 - 140,000; Full time

Job summary

Flagship Labs 119 Inc. (FL119) is seeking a (Senior) Scientist, Computational Neuroscience to join our team in Cambridge, MA. You will build scalable computational pipelines for biophysical neuron modeling and apply machine learning to large neural datasets.

Leveling is flexible based on experience; international candidates are welcome. You will collaborate with a cross-disciplinary team and help shape the technical roadmap in a dynamic R&D environment.

Qualifications

• 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.
• 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 (NumPy, SciPy, Pandas) and familiarity with ML frameworks such as PyTorch or TensorFlow.

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.

Skills

Computational modeling

Machine learning

Python

Education

MSc/PhD in Computational Neuroscience or related field

Tools

NumPy

SciPy

Pandas

PyTorch

TensorFlow

Job description

Flagship Labs 119 Inc. (FL119) is seeking a (Senior) Scientist, Computational Neuroscience to join our team in Cambridge, MA. You will build scalable computational pipelines for biophysical neuron modeling and apply machine learning to large neural datasets.

Leveling is flexible based on experience; international candidates are welcome. You will collaborate with a cross-disciplinary team and help shape the technical roadmap in a dynamic R&D environment.