Fluxion Therapeutics · 1 week ago
Electrophysiologist-HT + Data
United States
Full-time
Remote
Mid, Senior Level
3+ years expFluxion Therapeutics is a pioneer in industrial patch-clamp data analytics, seeking a domain expert to bridge traditional electrophysiology with next-generation machine learning models. The role involves curating and annotating datasets to train and refine ML models, requiring expertise in electrophysiology and basic machine learning.
Biotechnology
Hiring Manager
Ilya K.
Responsibilities
ML Model Annotation: Survey public domain literature and repositories (e.g., CiPA Open Data, BioStudies) to identify and annotate high-quality electrophysiology datasets
Gold-Standard Curation: Act as the "ground truth" expert by manually labeling ion channel data (QC pass/fail, kinetic parameters, artifact identification) for training ML architectures
Computational Strategy: Utilize Python to script data ingestion pipelines and perform exploratory data analysis (EDA) on large-scale patch-clamp datasets
Cross-Functional Collaboration: Work directly with the Data Science team to translate biological nuances into technical features for ScorpION(c)
Qualification
Required
Education: PhD or MS in Physiology, Neuroscience, Biophysics, or a related quantitative life science
Electrophysiology: 3+ years of hands-on experience with patch-clamp, preference for Automated Patch-Clamp (APC) platforms (e.g., IonFlux, Nanion, Sophion)
Technical Literacy: Proficiency in Python (NumPy, Pandas, Scikit-learn) for data manipulation
Preferred
Pre-clinical toxicology studies, specifically ion channel safety pharmacology (hERG, NaV1.5, CaV1.2), ideally CiPA initiative
Experience with Explainable AI (XAI) in a biological context
Familiarity with MATLAB-based electrophysiology analysis suites
Company
Fluxion Therapeutics
Fluxion Therapeutics, a Physiomics™ Company.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase