Flagshippioneeringinc

Scientist, Computational Sensing

Cambridge, MA USA. Posted 3 months ago

The role

You will build the analytical foundation connecting nanopore measurements to biological understanding. You will develop computational workflows, build quantitative models, and collaborate with experimental scientists to transform electronic data into actionable sequencing outputs.

What you will do

  • Analyze nanopore and electrophysiology datasets to identify biologically meaningful signal features.
  • Develop and implement computational workflows for event detection, classification, and molecular fingerprinting.
  • Build quantitative models that connect nanopore measurements to molecular identity, structure, and function.
  • Collaborate with experimental scientists to interpret results and shape the direction of future experiments.
  • Partner with protein science, signal processing, and machine learning teams to improve platform performance and analytical capabilities.
  • Help establish best practices for benchmarking, validation, and uncertainty quantification as the platform scales.

Required qualifications

  • Master's degree plus 3+ years of relevant industry experience, or PhD in Computational Biology, Biophysics, Bioengineering, Physics, Applied Mathematics, Computer Science, Electrical Engineering, or a
  • Strong programming skills in Python and scientific computing environments.
  • Experience analyzing complex biological, physical, or time-series datasets — particularly in the presence of noise and experimental variability.
  • Solid background in at least two of: statistics, machine learning, signal processing, or Bayesian modeling.
  • Comfortable working across experimental and computational domains; able to engage meaningfully with wet-lab scientists on data interpretation.
  • Clear scientific communicator — written and verbal.

Nice to have

  • Hands-on experience with nanopore technologies, electrophysiology, or single-molecule measurement platforms.
  • Experience applying deep learning or probabilistic modeling to biological or physical datasets.
  • Background in computational biophysics or time-series analysis of high-dimensional biological signals.

Benefits

  • healthcare coverage
  • annual incentive program
  • retirement benefits
  • broad range of other benefits

About the company

Tilde Bio, Inc. (FL110) is building a next-generation biological sensing platform at the intersection of synthetic biology, protein engineering, nanopore biophysics, electrophysiology, signal processing, and machine learning. It is backed by Flagship Pioneering.

Scientist, Computational Sensing at Flagshippioneeringinc | JobZoey