19 of 19 Remote Permanent Bayesian Methods Jobs

libraries of predictive features and probabilistic representations for diverse ML tasks. Build and optimize tools for scalable probabilistic inference under memory, latency, and compute constraints. Apply and innovate on methods like Bayesian neural networks , variational autoencoders , diffusion models , and Gaussian processes for modern AI use cases. Collaborate closely with product, engineering, and business teams to build … trends in generative modeling, causality, uncertainty quantification, and responsible AI. Requirements/Qualifications: Strong experience in Bayesian inference and probabilistic modeling : PGMs, HMMs, GPs, MCMC, variational methods, EM algorithms, etc. Proficiency in Python (must) and familiarity with PyMC, NumPyro, TensorFlow Probability , or similar probabilistic programming tools. Hands-on experience with classical ML and modern techniques, including … deep learning , transformers , diffusion models , and ensemble methods . Solid understanding of feature engineering, dimensionality reduction, model construction, validation, and calibration. Experience with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals). Familiarity with database and data processing tools (e.g., SQL, MongoDB, Spark, Pandas). Ability to translate ambiguous business problems into More ❯

stakeholders and translating research into practical solutions for predictive analytics. Experience in solution design, architecting and outlining data analytics pipelines and flows. Advanced Mathematics skills including experience with Bayesian statistics, linear algebra and MVT calculus, advanced data modelling and algorithm design experience. Design and deployment experience using Tensor Flow, Spark ML, CNTK, Torch or Caffe. The perks More ❯

Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). Experience with application of optimization theory or reinforcement learning More ❯

Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or … biostatistics, or other quantitative field (or equivalent). More than 3 years experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net More ❯

doing causal inference/segmentation Ability to explain ideas and present results to non-technical audiences Strong stakeholder management skills Experience with marketing mix models and/or Bayesian time series would be a big plus Strong theoretical understanding and experience with key classification and regression models is a plus Please note this role is offered on … doing causal inference/segmentation Ability to explain ideas and present results to non-technical audiences Strong stakeholder management skills Experience with marketing mix models and/or Bayesian time series would be a big plus Strong theoretical understanding and experience with key classification and regression models is a plus Please note this role is offered on More ❯

Science, Engineering, Statistics, Economics, Mathematics, or a related technical or quantitative field, or equivalent practical experience. Nice to have: Experience with advanced experimentation methodologies (e.g., Bayesian methods, multi-armed bandits, causal inference). Experience specifically building or managing platforms for internal developers/users. Proven track record of successfully scaling experimentation programs and culture within an More ❯

existing results in the broad field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition to the world of financial predication through the prism of machine learning. The most exceptional team members combine strong technical skills and More ❯

existing results in the broad field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition to the world of financial predication through the prism of machine learning. The most exceptional team members combine strong technical skills and More ❯

approaches when the task calls for it Values communication, empathy, and teamwork Real-world industry experience is strongly preferred, as we're looking for candidates who can apply advanced methods to practical, high-impact problems and navigate the complexity of real operational environments. We welcome applications from both mid-level and senior professionals; however, due to the complexity of … chance to learn and work with: Physical and empirical modelling of complex systems Machine learning for prediction and inference Optimisation and real-time decision engines Bayesian methods and uncertainty quantification Collaborative software development and production deployment What We Offer A truly inclusive, supportive team culture Flexible working hours and remote-first environment Competitive salary with performance More ❯

and implementing advanced mathematical models that drive the ToffeeX engineering design software. You will collaborate with a multidisciplinary team to solve complex engineering problems, focusing on mathematical optimization, numerical methods for partial differential equations (PDEs), and computational geometry. This role offers the opportunity to work at the intersection of advanced mathematics, engineering, and technology in a rapidly growing company. … literature, developing creative approaches to solve unique real-world engineering problems. Essential Skills & Experience Ph.D. in Applied Mathematics, Physics, Engineering, or a closely related field. Research level experiencein numerical methods for PDEs, mathematical modelling or PDE-constrained optimization. Hands-on experience in developing and implementing numerical algorithms for solving complex simulation or optimization problems. You thrive in a fast … for physical systems. Experience in numerical optimization topics such as nonconvex, robust, or Bayesian optimization. Experience with topology or shape optimization. Experience with AI/ML methods for physics or optimization problems. Experience with software development in C++, Python, or similar languages. Company Benefits Flexibility and support for continuous learning and professional growth. 25 days holiday More ❯

approaches when the task calls for it Values communication, empathy, and teamwork Real-world industry experience is strongly preferred, as we're looking for candidates who can apply advanced methods to practical, high-impact problems and navigate the complexity of real operational environments. We welcome applications from both mid-level and senior professionals; however, due to the complexity of … chance to learn and work with: Physical and empirical modelling of complex systems Machine learning for prediction and inference Optimisation and real-time decision engines Bayesian methods and uncertainty quantification Collaborative software development and production deployment What We Offer A truly inclusive, supportive team culture Flexible working hours and remote-first environment Competitive salary with performance More ❯

Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g., Monte Carlo, Bayesian modelling) is a plus. Strong communicator. Commercial mindset and strong instincts around risk and return. Experience mentoring or managing analysts. Knowledge of the German lending market or language More ❯

Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g., Monte Carlo, Bayesian modelling) is a plus. Strong communicator. Commercial mindset and strong instincts around risk and return. Experience mentoring or managing analysts. Knowledge of the German lending market or language More ❯

Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g., Monte Carlo, Bayesian modelling) is a plus. Strong communicator. Commercial mindset and strong instincts around risk and return. Experience mentoring or managing analysts. Knowledge of the German lending market or language More ❯

Jul 2 2025 As an Associate Director/Scientific Leader in the Protein Design and Informatics (PDI) team, you will focus on developing, integrating, and embedding bleeding edge computational methods and predictive in silico models that drive the discovery of new medicines and vaccines. Included in the larger Data, Automation, and Predictive Sciences (DAPS) department, we have an exciting … initiative aimed at researching and implementing new methods for the automation of the entire Design-Make-Test-Analyze cycle, impacting target discovery to the clinic - all stages of a therapeutic project. You'll have the opportunity to work in close partnership with many departments across GSK, developing and fostering a high-performing team culture of collaboration, curiosity, consistency, agility … Skills: If you have the following characteristics, it would be a plus Experience developing or applying modern ML architectures for protein design models (LLMs, diffusion models, flow-matching, Bayesian Optimization, GNNs, etc.) Experience designing de novo binders for specified targets and epitopes Experience with cloud engineering production-ready robust and scalable scientific workflows Experience building and deploying More ❯

importantly, impact patients' lives. Opportunity We're now hiring a Director of Statistical Genetics & Functional Genomics to lead a growing team that integrates human genetics, functional genomics, and computational methods to drive novel target discovery. This is a rare opportunity to help shape our therapeutic pipeline by unlocking the causal mechanisms of disease from human data. Your responsibilities Lead … architecture. Collaborate cross-functionally with disease biology, target discovery, and experimental teams to translate genetic insights into testable hypotheses and novel therapeutic concepts. Stay at the forefront of emerging methods in statistical genetics and variant-to-function inference, guiding internal adoption and development. Contribute to platform strategy and target identification efforts across multiple disease areas. Foster a culture of … and supporting their continued development. Who you are You bring deep expertise in human statistical genetics, including fine-mapping, LD structure, polygenic risk scoring, partitioned heritability, and causal inference methods (e.g. Mendelian Randomisation). You have experience integrating multi-modal data-including GWAS, transcriptomic (bulk and single-cell), epigenomic (ATAC-seq, ChIP-seq), and proteomic datasets-to identify causal More ❯

testing and test statistics Highly numerate and data-driven Excel skills (can maintain complex spreadsheets) Experience analysing customer trends and behaviours Good understanding of frequentist and/or Bayesian analysis methodologies Additional Information Benefits package includes: Hybrid working Great compensation package and discretionary bonus Core benefits include pension, bupa healthcare, sharesave scheme and more 25 days annual More ❯

testing and test statistics Highly numerate and data-driven Excel skills (can maintain complex spreadsheets) Experience analysing customer trends and behaviours Good understanding of frequentist and/or Bayesian analysis methodologies Additional Information Benefits package includes: Hybrid working Great compensation package and discretionary bonus Core benefits include pension, bupa healthcare, sharesave scheme and more 25 days annual More ❯

experiment analysis techniques, including Bayesian and Causal Inference. Modeling Skills: Experience working on advanced modelling concepts. SQL and Statistical Analysis: Strong proficiency in SQL and statistical methods for analyzing complex data sets. Proven experience in conducting impact analysis to assess viable opportunities and scoping their relevance. Track Record: A successful track record of managing complex projects More ❯