21 of 21 Statistics Jobs in Cambridge

Clinical Development strategy, including cross-functional ways of working, tooling governance, and methodological standards. Essential Requirements PhD in Computer Science, Machine Learning, Statistics, Mathematics, Biomedical Informatics, Computational Biology, or a closely related quantitative discipline — with a strong, hands-on computational track record. 4–8 years of post-PhD experience ...

supply chain, warehouse or logistics environments Exposure to financial reporting and cost analysis Degree in business analytics, data analytics, computer science, information systems, mathematics, statistics, finance or similar This role would suit a hands-on data analyst who wants to become an embedded part of an established BI team ...

teams Lead through influence - balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomes Minimum Qualifications Bachelor’s degree in Computer Science, Statistics, Applied Math, Engineering, or a related field 7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles 2+ years ...

PQLs, activation funnels) Ability to translate statistical findings into product and commercial strategy for non-technical stakeholders Degree in a quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent) Desirable Master’s or PhD in a quantitative field Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse) Product analytics ...

/MSc or Doctoral degree in a relevant discipline such as: health services research, health outcomes research, epidemiology, pharmacy administration, public health, economics, statistics or decision sciences Deep working knowledge of clinical drug development, including the governance, safety and regulatory frameworks that apply across phases Demonstrated experience translating clinical ...

Minimum Qualifications Agentic Coding proficiency to achieve data-science, data collection and visualisation tasks Good understanding of metrics, crowd science, data collection, annotation analysis, statistics Ability to work independently and cross-functionally to integrate in partner team reporting systems and pipelines Excellent communication skills and the ability to thrive ...

computer vision, foundation models, or 3D medical imaging. Deep understanding of machine learning theory and its background, including deep learning, linear algebra, probability theory, statistics and optimisation. Strong Python and PyTorch skills, with the ability to work confidently in model training and inference codebases. Experience developing and evaluating deep learning ...

towards optimizing performance. Stay at the forefront of advancements in related areas. We're excited if you havePhD in quantitative disciplines such as CS, Statistics, Applied Math or a related field. Extensive experience in applied research using statistical and deep learning techniques. Published paper(s) on deep learning models ...

collective knowledge. Essential skills and experience: A PhD in a technical field or an equivalent level of experience, having published work in machine learning, statistics, or optimization conferences and/or journals. In addition, the following would be an advantage: A background in decision making (Bayesian optimization, bandits, reinforcement learning ...

term vision. We are primarily looking for outstanding Machine Learning Engineers and Researchers with exceptional programming ability, particularly in C++, alongside strong machine learning, statistics and mathematical foundations. Our target hiring profile is individuals with up to 2–3 years of industry experience, ideally with a background in Computer Science ...

computer architecture. Familiarity with Agile or other modern technical project management frameworks. Knowledge of modern inference‐serving frameworks (e.g., vLLM). Background in statistics, operations research, or large‐scale datacenter infrastructure. Contributions to open‐source AI or systems projects. Benefits High‐impact role in a rapidly growing, well‐funded organisation. ...

Confluence Knowledge Essential Basic knowledge of human genetics and the effects of genetic variation Practical knowledge of programming and coding Practical knowledge of statistics for data analysis Knowledge of next generation sequencing technologies Knowledge and understanding of secondary bioinformatics analysis of data generated by next generation sequencing technologies Knowledge ...

Search is hiring exceptional Machine Learning Engineers and Researchers to join its first ML team. The role focuses on C++ based ML development, strong statistics, and mathematical foundations, with 5+ years of experience requested in the posting. You will work directly with a visionary founder to build core technology from ...

strategy, technical standards, code quality and knowledge sharing across the team. Essential Skills: MSc or equivalent experience in computer science, machine learning, artificial intelligence, statistics, mathematics, physics or another highly quantitative discipline Demonstrated experience developing, fine-tuning, evaluating or deploying modern AI systems, including foundation models, large language models, multimodal … ICML, ICLR, ACL, EMNLP, AI for Science venues) or impactful industrial AI products. Desirable Skills: PhD or equivalent experience in data science, computer science, statistics, bioinformatics, computational biology or a related quantitative discipline. Experience analysing genomic, transcriptomic, proteomic, single-cell, spatial or other multi-omics data. Knowledge of translational medicine ...

moving from framing the problem to production rollout, mainly in Java on the JVM. You will operate low-latency JVM services, apply probability and statistics to test changes, and collaborate with senior engineers across codebases. #J-18808-Ljbffr ...

Work independently in sophisticated and highly visible projects, identify risks and develop frameworks, regularly connect with collaborators and leadership teams. Minimum Qualifications Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Proficiency in data querying using SQL, Spark, or equivalent technologies Proficiency in scripting languages … collaboration skills, ability to convey complex concepts to diverse audiences At least 3 years experience working as a Data Scientist Preferred Qualifications PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Experience applying LLMs to solve technical problems such as data analysis, data automation, synthetic ...

Pfizer Research and Development in the United Kingdom seeks a Director of Statistics to lead complex global development projects in Inflammation and Immunology & Specialty Care. You will oversee clinical design, trial conduct, data management, result interpretation and regulatory submission leadership. Responsibilities include managing contract biostatisticians, allocating resources, and monitoring progress ...

systems across a range of customer projects. Perform routine daily checks of monitoring systems to verify correct operation and system availability. Record system statistics and performance data in daily logs to track trends and long-term performance. Monitor system activity and identify issues, faults or potential developing concerns. Log system ...

from framing the problem through production rollout Build and operate JVM services where latency and reliability are product requirements, not stretch goals Use probability, statistics and experimentation to test changes before and after launch Work with AI tooling as a normal part of how you design, build, test and review … appetite to ramp on Java Comfort designing and operating distributed systems at scale and low latency A solid grounding in maths, algorithms, probability and statistics as applied to real systems Demonstrated AI and agentic‐tooling fluency, as described above Ad tech, auctions or marketplace experience is preferred, and we move ...

Section Head for Genome Assembly and Annotation, Rob Finn. You have A PhD degree in a relevant field (bioinformatics, life sciences, computing or statistics) or equivalent relevant experience; At least 6 years' experience working in the field of bioinformatics or genomics applied to plant science/breeding Experience working … managers, high-performance computing platforms, databases, and data mining Experience in some of the following domains: software engineering, functional annotation, high throughput sequencing analysis, statistics Experience of some of the following technologies: Python, GraphQL, MongoDB, PostgreSQL, DuckDB Experience of developing and/or applying AI methods for genomic annotation Participation ...

This project is in collaboration with 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 ...