15 of 15 Remote/Hybrid Bayesian Methods Jobs in the UK

Science, Economics, Engineering etc.)Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra.Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies. Proficiency ...

production.Track record of promoting statistical rigour and experimental best practices in your prior roles.Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)Experience working in a fast ...

Analyst or Data Scientist Minimum 2:1 in a Quantitative subject ideally Masters Experience OR an interest in Modelling – CHAID, Cluster Analysis, Bayesian Algorithms, NN, Experience with visualisation tools would be nice Python and SQL experience ideally - Python a MUST Experience in a Data Science role with ...

years line management responsibilities.Hands-on experience in population PK/PD, disease progression modeling, and clinical trial simulations.Strong understanding and knowledge of Bayesian methodologies, model-based meta-analyses, PBPK, QSP, and AI/ML in Pharmacometrics.Expertise in R, NONMEM or related pharmacometrics software.Are you ready ...

shipping ML productsPhD or other experience in a research environmentDeep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clusteringStrong stats or math backgroundVisualization, data skills, SQL, matplotlib, etc.Benefits We are a well treated bunch, with awesome benefits! If there ...

rich environments Strong statistical knowledge Experience with product analytics and behavioural tracking Experience mentoring or coaching other analysts Nice to have Knowledge of Bayesian or Frequentist experimentation approaches Experience with event-level analytics platforms Predictive analytics exposure The team You'll report into the Analytics Team Lead ...

supervised ML algorithms, tuning, and performance evaluation.Experience with a range of feature engineering techniques (e.g. target encoding).Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation.Experience in writing clean, production-grade Python code for both model training and inference.Excited to leverage LLMs for coding ...

command of spatial transcriptomics platforms and single-cell multi-omics analysis, with fluency in applying established analytical frameworks and the capability to develop novel methods where existing approaches are insufficient. Ideally, also with experience of integration of genomic insights with germline genetic evidence to derive causal mechanistic insight. Deep … expertise across the full spectrum of modern ML for biology: graph neural networks, Bayesian causal inference, topological data analysis, deep generative models (VAEs, diffusion models, GANs), and reinforcement learning, applied to biological discovery problems. Proven ability to design and deliver agentic AI systems integrating large language model ...

continuously learn and improve Desirable: Study design and sample size experience Regulatory experience A basic understanding or willingness to learn Bayesian methods and causal inference modelling Experience within Oncology and/or CNS therapeutic areas Opportunities at Veramed Presenting at conferences and authoring publications Developing and ...

continuously learn and improve Desirable: Study design and sample size experience Regulatory experience A basic understanding or willingness to learn Bayesian methods and causal inference modelling Experience within Oncology and/or CNS therapeutic areas Opportunities at Veramed Presenting at conferences and authoring publications Developing and ...

continuously learn and improve Desirable: Study design and sample size experience Regulatory experience A basic understanding or willingness to learn Bayesian methods and causal inference modelling Experience within Oncology and/or CNS therapeutic areas Opportunities at Veramed Presenting at conferences and authoring publications Developing and ...

continuously learn and improve Desirable: Study design and sample size experience Regulatory experience A basic understanding or willingness to learn Bayesian methods and causal inference modelling Experience within Oncology and/or CNS therapeutic areas Opportunities at Veramed Presenting at conferences and authoring publications Developing and ...

continuously learn and improve Desirable: Study design and sample size experience Regulatory experience A basic understanding or willingness to learn Bayesian methods and causal inference modelling Experience within Oncology and/or CNS therapeutic areas Opportunities at Veramed Presenting at conferences and authoring publications Developing and ...

early clinical development to regulatory approval and lifecycle work. You will provide expert statistical consultation on trial design and analysis, develop and apply advanced methods, and translate complex quantitative concepts into clear insights for cross-functional partners. You will also contribute to scientific communications and external collaboration through publications … doProvide statistical consultation on clinical trial design and analysis across multiple development stages and therapy areas.Develop and implement innovative statistical approaches, including model-based methods using frequentist and Bayesian techniques.Run or guide advanced analyses and simulations to inform design options, sample size, and power trade-offs.Communicate ...

reimbursement agency, or academic institution (pharma affiliate experience is a plus). Demonstrate in-depth knowledge of Access and HTA, clinical research and development methods, and international payer evidence requirements. Skilled in research design and statistical methods, such as Generalized Linear Models, Survival analysis, Network Meta-Analysis, and … Bayesian statistics and are proficient in R and GitLab (experience with SAS, Python, WinBUGS, JAGS, or other relevant statistical software is a plus). Strong strategic, collaboration, and communication skills, strong organization, planning, and prioritization skills with an ability to meet tight deadlines, and strong written and ...