26 to 39 of 39 R Jobs in Cambridge

. 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 ❯

to success in this role. What you will be doing: Program and validate SDTMs, ADaMs, and complex efficacy/lab datasets. Proficient in SAS (Base, Macros, Graphs); experience with R or Python is advantageous. Must have hands-on experience with Disclosure tables, especially Basic Results tables. Develop/debug complex macros and program non-efficacy outputs/figures. Strong understanding More ❯

Manufacturing, Quality, and Field Support. You will have experience in scripting and developing end-to-end NGS workflows, familiarity with additional scripting/programming languages such as Python or R, and a hands-on, proactive approach to problem-solving and continuous improvement. Responsibilities: Lead the development and optimization of automated genomics workflows on Hamilton liquid handling systems, with experience in … is preferred. Experience in developing workflows for automated laboratory liquid handling platforms such as Hamilton, Tecan, Eppendorf, etc Familiarity with additional scripting/programming languages such as Python or R is a plus; knowledge of communication languages (e.g., JavaScript) may be beneficial depending on integration needs. Familiarity with integrating automated liquid handling solutions Participation in product development and experience with 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 ❯

proteomics. Alternatively, you will have experience in large-scale biomarker informatics. The role holder will have good skills in LINUX/bash/python and statistical analysis, preferably in R and/or python. You will be able to work independently and maintain excellent relationships with our collaborators. High quality written communication and presentation skills are essential. About you: Experience More ❯

Machine Learning Engineer, Accelerate Programme for Scientific Discovery (Fixed Term) Join to apply for the Machine Learning Engineer, Accelerate Programme for Scientific Discovery (Fixed Term) role at University of Cambridge Machine Learning Engineer, Accelerate Programme for Scientific Discovery (Fixed Term More ❯

Computer Science, Maths, Statistics or obtained equivalent knowledge through relevant and substantial experience. Significant programming and pipeline development experience is essential. Data manipulation in a bioinformatics environment (e.g., Bioconductor, R, etc.) and experience with NGS data manipulation is essential. Prior experience in molecular diagnostics or cancer genomics would be advantageous. Quality: Experience working within a GCLP or ISO environment and More ❯

a team and independently. Proficiency with imaging analysis tools and programming languages including Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, and statistical analysis software such as R and SQL. Familiarity with machine learning tools and Linux High-Performance Computing platforms is highly desirable. Additional Information This is a highly collaborative role involving work with scientists and clinicians More ❯

Trainee Coding & Programming Placement Programme Please note that this is a training course and fees apply. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we More ❯

Bachelor’s degree in Statistics, Biostatistics or Computer Sciences + Masters or PH.D in Statistics. 8 years’ experience in clinical trial statistical programming. Excellent knowledge of SAS essential with R advantageous. Good working knowledge of data structures e.g. CDISC, SDTM, ADaM, Comprehension of clinical data standards (CDISC), TLFs, and submission guidelines. What in it for you: The opportunity to be More ❯

Principal Software Architect page is loaded Principal Software Architect Apply locations Cambridge, United Kingdom time type Full time posted on Posted 7 Days Ago job requisition id R-100181 About SiFive As the pioneers who introduced RISC-V to the world, SiFive is transforming the future of compute by bringing the limitless potential of RISC-V to the highest performance More ❯

*Please note this is a training programme with career placement and fees apply* If you are looking to progress a career in computer programming or web development, then this training and placement programme is made for you? Skills shortages in More ❯

*Please note this is a training programme with career placement and fees apply* If you are looking to progress a career in computer programming or web development, then this training and placement programme is made for you? Skills shortages in More ❯

working alongside some of the brightest experts in the industry. You will play a significant part of the planned technology expansion journey, gaining exposure to other languages such as R or Python. What you’ll be doing: Lead Phase II/III studies, crafting, validating, and executing statistical programs for listings, safety, efficacy outputs, and ADaM/TLF specifications. Oversee More ❯