1 to 25 of 69 Permanent R Jobs in the East of England

network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience … in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other related scientific languages. Willing to work in a collaborative environment and share periodic updates across the company. Preferred Qualifications - Strong and demonstrable experience working in an AWS compute environment is a major advantage. Experience integrating prior knowledge from public databases (e.g. More ❯

A degree in Data Science, Computer Science, Mathematics, or a related field. 5+ years' experience in data science, with proven success delivering end-to-end projects. Proficiency in Python, R, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong skills in data storytelling, problem-solving, and working with both structured and unstructured data. Experience with APIs, cloud More ❯

while championing patients every step of the way. Learn more at Johnson and Johnson Innovative Medicine Research & Development LLC, a Johnson & Johnson company, is recruiting for a Senior Analyst, R&D Data Science and Digital Health (DSDH) Immunology. This position will report to the Senior Director, R&D Data Science and Digital Health Immunology. This is a hybrid position and … Data Science teams to execute on critical data science initiatives (including computer vision-based endpoints and digital health solutions) to support delivery of the short and long-term Janssen R&D Data Science and Digital Health strategy Contribute to projects, programs, or processes for the DSDH IMM TA to ensure objectives and targets are consistently met. Collaborate with Immunology TA … and functions in J&J Innovative Medicine R&D, the DSDH Insights & Analytics team, and DSDH Data Platform teams to conceive, develop, and execute on data science use-cases, build a roadmap to deliver the use-cases, from test and learn to scale up deployment Develop a deep understanding of the data, technical solutions and partner ecosystem, align R&D More ❯

systems and processes: CRM (Salesforce preferred): Advanced knowledge in data management and workflow automation. Territory Management : Skilled in designing and optimizing sales territories. Programming : Proficient in SQL, Python, or R for data analysis and automation. Power BI : Experienced in creating interactive dashboards and reports. SAP : Familiar with managing data governance processes. Additional Systems : Knowledgeable in Tableau, Microsoft Excel, Cognos, and More ❯

a strategic roadmap across analytics, automation, and change. Solid knowledge of data analytics, people metrics, and experience using technology, platforms, and tools (e.g., SuccessFactors, Power BI, Tableau, Python/R, SQL). Familiarity with AI/ML techniques and how they can be applied to improve people processes and decision-making. Knowledge of responsible AI, data ethics, or regulatory frameworks More ❯

NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯

management and analytical skills, especially with large datasets. Good understanding of Office365 tools (Excel, PowerPoint, Word, SharePoint, Teams). Knowledge of model-driven apps and JavaScript. Proficiency in SQL, R, Python, GIS, statistics, or databases. Understanding of cloud services like Azure or AWS. Why SZC? Contribute to a major UK infrastructure project, shaping the future of energy in a supportive More ❯

management and analytical skills, especially with large datasets. Good understanding of Office365 tools (Excel, PowerPoint, Word, SharePoint, Teams). Knowledge of model-driven apps and JavaScript. Proficiency in SQL, R, Python, GIS, statistics, or databases. Understanding of cloud services like Azure or AWS. Why SZC? Contribute to a major UK infrastructure project, shaping the future of energy in a supportive More ❯

and Teams. Experience with data warehousing, process automation, and machine learning tools and techniques. Familiarity with model-driven apps and related technologies (e.g. JavaScript). Knowledge of SQL, Python, R, GIS packages, statistics, and cloud platforms such as Azure or AWS. Strong written and verbal communication skills, with a highly collaborative, customer-focused approach. Quick learner with the ability to More ❯

Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis More ❯

Pipeline Automation & Tool Development will be responsible for developing efficient and high quality bioinformatic pipelines and data science software supporting the design, data processing, analysis, and reporting across Lonza R&D departments. They will be placed in the Bioinformatics & Data Science group and closely work with multi-disciplinary teams of bioinformaticians, lab scientists, biochemists and bioprocess engineers. The Senior Bioinformatics … data science or a related field. Hands-on experience in developing and implementing multiple Nextflow pipelines in a production system. Excellent knowledge of Docker, git, the UNIX command line, R (or python) and unit/pipeline testing frameworks. Minimum 2 years work experience in developing and rolling out GUI-based bioinformatic tools facilitating experimental design and analyses. Proven ability to More ❯

of statistics (probability distributions, sampling, hypothesis testing, regression) and some practical experience in applying some of these concepts in real-life problems. • Experience using statistical software and programming using R, SQL, Python or similar in datasets. • Excellent communication skills to be able to understand business needs of cross-functional stakeholders, deliver findings and recommendations, as well as to drive collaboration. More ❯

statistics, machine learning, data science, computer science or bioinformatics. Expertise in statistics, experimental design, and their application across a range of biological data. Confident coding in either python or R for data science and statistics. Experience communicating findings to non-experts. Proficiency with data visualisation tools and libraries (matplotlib, seaborn, ggplot etc). Experience with git version control, preferably with More ❯

mindset with a commitment to ethical data use Nice to Have Background in the education or public sector Familiarity with ILR reporting and DfE funding rules Experience with Python, R, or similar scripting languages Relevant certifications (e.g. Microsoft SQL, Azure, Power BI) This is an excellent opportunity for someone who thrives on solving data challenges and is keen to make More ❯

least 2 years in a leadership role Strong background in machine learning algorithms and statistical modeling Experience working with healthcare data and understanding of healthcare analytics Proficiency in Python, R, or similar data science programming languages Knowledge of big data technologies and cloud platforms (We're a GCP shop) Strong communication skills with ability to translate complex data insights for More ❯

in this role, you’ll need: Strong experience as an Analyst , ideally within a Big Data environment. Expertise in SQL (analytical SQL required) and familiarity with Excel, VBA, Python, R, or other programming languages . Exceptional problem-solving skills , both quantitative & qualitative. Stakeholder management expertise , with the ability to influence decision-making. Clear communication skills , capable of translating complex data More ❯

Experience working with state of the art ML tools (transformers, GNN, etc.) Experience working with hybrid AI models (e.g., SINDy) Working knowledge of cell biology. Experience with Python, C, R or related scientific computing languages. Preferred Qualifications - Experience working with causal representation learning Experience with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software More ❯

. The successful candidate will have graduate level subject matter knowledge in a wide range of topics from epidemiology, biostatistics or infectious disease modelling and experience of programming in R/R Studio. Essential criteria for appointment include: - PhD in a relevant quantitative topic (e.g. epidemiology, biostatistics, health data science, infectious disease modelling, computer science or applied mathematics) - Ability to More ❯

are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s): USA - Requisition Number: R-012821 Belgium - Requisition Number: R-013576 Key Responsibilities: The candidate will lead a disease area, Neuropsychiatry or Neurodegeneration, establishing the team's computational multiomics strategy across the portfolio from discovery More ❯

Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems Proven ability to deliver commercial value through pricing insight Proven ability to provide commercial uplift from research and development projects Strong people management skills More ❯

Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems Proven ability to deliver commercial value through pricing insight Proven ability to provide commercial uplift from research and development projects Strong people management skills More ❯

Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems Proven ability to deliver commercial value through pricing insight Proven ability to provide commercial uplift from research and development projects Strong people management skills More ❯

working knowledge of Microsoft's productivity suite, including SharePoint, Teams and Office 365, is essential. Any experience of supporting BI & data analytics software and languages such as Python, JSON, R, etc. would be a benefit but is not a requirement. Any experience with Microsoft Fabric in the last 12 months would be considered highly desirable. The ability to work collaboratively More ❯

with neural deep learning methods and machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that More ❯

Prof. Andrew Gelman at Columbia University, and Dr Stanley Lazic at AstraZeneca. Education and Experience Required: - PhD in Statistics, Computer Science, Data Science, or similar - Excellent knowledge of either R or Python (ideally both) - Knowledge of Bayesian statistics - Knowledge of modern Bayesian software such as Stan and PyMC3 - Knowledge of (or an interest in) life sciences This is a More ❯