to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. Responsibilities: Use data science and machine learning principles to develop effective predictive models Write software to prepare, clean, and sample data for use in developing predictive … degree required; degree in applied math, computer science, natural sciences or engineering preferred M.S. or Ph.D. in a related field highly desired 3+ years of experience with machine learning, statistical modeling, and optimization techniques Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred) Proficient in linear algebra and statistics Familiar with scientific software principals, e.g. versioning systems, reproducibility More ❯
to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. Responsibilities: Use data science and machine learning principles to develop effective predictive models Write software to prepare, clean, and sample data for use in developing predictive … degree required; degree in applied math, computer science, natural sciences or engineering preferred M.S. or Ph.D. in a related field highly desired 5+ years of experience with machine learning, statistical modeling, and optimization techniques Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred) Proficient in linear algebra and statistics Familiar with scientific software principals, e.g. versioning systems, reproducibility More ❯
to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. Responsibilities: Use data science and machine learning principles to develop effective predictive models Write software to prepare, clean, and sample data for use in developing predictive … degree required; degree in applied math, computer science, natural sciences or engineering preferred M.S. or Ph.D. in a related field highly desired 5+ years of experience with machine learning, statistical modeling, and optimization techniques Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred) Proficient in linear algebra and statistics Familiar with scientific software principals, e.g. versioning systems, reproducibility More ❯
and knowledge graph reasoning. Collaborate with data engineering teams to design data pipelines that harmonize and prepare large-scale omics datasets for model training. Implement, evaluate, and optimize causal inference methods (e.g., DAG learning, treatment-effect estimation, counterfactual modeling). Partner with experimental scientists to ensure model outputs are biologically interpretable and experimentally testable. Stay abreast of advances in … such as PyTorch, TensorFlow, JAX, or PyTorch Geometric. Experience working with multi-omics or high-dimensional biological data is strongly preferred. Strong background in probabilistic modeling, causal reasoning, or statistical inference. Familiarity with knowledge graph technologies and graph databases is a plus. Demonstrated ability to work in cross-disciplinary teams, communicate complex ideas clearly, and deliver results in fast More ❯
