Builds data-driven solutions and machine learning models for client projects and AI alignment research using Python, LLMs, deep learning frameworks like PyTorch/TensorFlow/JAX. Applies statistical ML, causal inference, and agile methods to deliver impactful products.
Develops and maintains bioinformatics pipelines for NGS data analysis including variant calling, gene expression, and genomics assembly. Provides statistical modeling, scripting support, and experimental design consulting for NIAID researchers; requires 4+ years experience and expertise in Python/R and pipeline frameworks.
Conducts advanced data science research on public opinion and causal modeling using experimental data. Develops tools, prototypes platform improvements, and communicates insights. Requires Python data science stack fluency and statistical expertise.
Conducts advanced data science research on public opinion and causal modeling using experimental data. Develops tools, prototypes platform improvements, and communicates insights. Requires Python data science expertise and strong stats skills.
Conducts advanced data science research on public opinion and causal modeling using experimental data. Develops tools, prototypes platform improvements, and communicates insights. Requires Python data science stack fluency and statistical expertise.
Develops volatility trading strategies, builds pricing tools, calibrates implied volatility surfaces, and analyzes large datasets for alpha signals in volatility markets. Requires 5+ years in quantitative research focused on volatility, Python proficiency, and STEM degree.