1 to 5 of 5 Permanent Bayesian Methods Jobs with Hybrid or WFH Options

Science, Maths or similar STEM discipline, ideally to Masters of PhD level Experience of building mathematical or ML data models, and working with Bayesian inference, Monte Carlo, Random Forest etc. models Experience in data research with strong statistical skills Experience in software design and development using Python more »

at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency more »

rate for the right candidate. Hybrid working model - 3 days in office Highly experienced in Python and SQL - as well as time series & bayesian modelling. Background in STEM Financial Services experience preferred but not essential The notice period can be up to 4 weeks (with potential flex more »

exposure to futures products - EU or US - with holding periods intraday and shorter. Technically strong and Python proficient Advanced competence in statistical modelling (Bayesian, stochastic, time series etc.) and/or machine learning. Pre-Application: Please do not apply if you're looking for a contract or more »

outsourcing statistical activities within a program. Required Knowledge, Skills, and Abilities Expert knowledge of clinical trial design and analysis, including experience with complex statistical methods and models. Experience in using SAS or R; knowledge of other statistical applications and programming languages a plus. Expert knowledge of applicable regulatory requirements … experience is preferred. Expert knowledge of statistical designs of early phase oncology studies Expert knowledge of drug development regulations pertinent to statistical analysis. Bayesian Phase I and Phase II oncology study design experience. Knowledge of clinical pharmacology and translational science preferred. Experience in contributing to IND submissions more »