Environment jobs in United Kingdom

.**Location:** Cambridge, Babraham Research Campus, Biomedical Campus (Limited flexibility 3-4 days per week on site) We have recently developed a new approach to driving therapeutic innovation through the creation of Cancer Research Horizons (CRH). We have brought together Cancer Research UK’s established drug discovery teams under one organisation and leadership team, combining our unique pipeline of cancer biology expertise and access to CRUK’s world-class academic network, cutting edge technology platforms and clinical expertise to 1) bring new treatments to patients faster and 2) tackle the biggest challenges in discovering cancer drugs by seeking out more radical ideas and embracing risk in our bid to achieve success. This is a new role for the team and real chance to make a tangible impact from day one. Utilise your expertise to support CRH in taking take a bigger, more holistic view of cancer. Build robust evidence packages and leverage cutting-edge systems-level predictive modelling to uncover the molecular pathways driving cancer development. You will become an integral part of the Cancer Research Horizon Drug Discovery team helping to progress novel cancer targets towards patient benefit. Furthermore, we actively encourage our colleagues to celebrate our science, by attending conferences, presenting posters, giving talks at events and publishing papers. Our new strategy sets out to bring deeper mechanistic understanding at the molecular and cellular level to all stages of projects, from idea to pre-clinical Candidate. Reporting directly to the Leader of our Quantitative Biology team,In this role you will take a mechanistic, causative approach to understanding how patient somatic mutations drive the development of cancer and work closely with functional genomics scientists to test novel hypotheses. we are looking for an experienced computational biologist to develop a systems level approach to understanding cancer molecular networks to underpin predictive modelling of patient response that moves beyond single-gene biomarkers. In this role you will: Provide deep expertise in computational biology and its role in oncology drug discovery. Experience within a drug discovery environment (i.e pharma, biotech or academic institute)Experience of working with oncology patient datasets and using them to test and generate novel hypotheses Experience of integrating multi-omics datasets (genomic, transcriptomic, proteomic, metabolomic) to infer molecular pathways involved in driving cancer Experience of using machine learning and AI tools to support a systems level understanding of cancer Programming experience with tools such as Python Experience adhering to good coding hygiene practices such as documentation, testing, and code review Excellent communication skills, ability to describe complex science in an engaging and inclusive manner. Ability to build open and honest relationships and influence multipleAbility to work collaboratively across projects and sites, also externallyIf you’reexperience we’d still love to hear from you. interested in applying and excited about working with us but are unsure if you have the right skills and We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals.You can explore our benefits by visiting our