Scientist, Computational Sensing
Core
Build computational workflows and quantitative models to transform nanopore and electrophysiology measurements into interpretable biological insights and sequencing outputs.
Role type
Senior IC bioinformatics scientist (computational sensing)
Builds
Analytical pipelines for event detection, classification, and molecular fingerprinting from single-molecule data
Domain
Synthetic biology, nanopore biophysics, and machine learning
Deliverable
production ML models
Required skills
Python programming, statistical modeling, machine learning, signal processing, Bayesian modeling, time-series analysis
Preferred skills
Deep learning, probabilistic modeling, nanopore technology experience, computational biophysics
Technologies
Python, scientific computing environments
Responsibilities
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 connecting measurements to molecular identity, structure, and function; Collaborate with experimental scientists to interpret results and shape future experiments; Partner with protein science, signal processing, and ML teams to improve platform performance; Establish best practices for benchmarking, validation, and uncertainty quantification
Seniority
Senior, hands-on IC