Register your interest in the talent pool that fits your profile the best - then we’ll be in touch when there’s a good match with your skills and background.
Use engineering rigour and innovative design and a modern microservice architecture on Kubernetes to orchestrate an ML platform that empowers drug discovery. Tech stack: Python, Java and Vue.js.
Develop and maintain a web-based platform to enable drug discovery alongside a mixed team of Designers, Full Stack and Frontend Engineers. Tech stack: TypeScript, Vue.js, GraphQL, Node.js, D3.js.
Develop and apply bioinformatics techniques to data, target-ID and precision medicine. Tech stack: Python (and R), Neo4j, GraphQL, ElasticSearch, MySQL, Spark, GitLab, Kubernetes, AWS and Jupyter.
Build and deliver quality software products and provide the infrastructure to build rapid prototypes and launch production-quality services. Tech stack: Python, Kubernetes, Terraform, Ansible, Helm, AWS.
Develop and execute an R&D agenda on challenging ML applied drug discovery applications across data integration, target-ID and precision medicine. Tech stack: Python, Spark, Pytorch, Kubeflow, Jupyter.
Understand discoveries in ML algorithms and the impact of a model training and deployment infrastructure with a reliable data pipeline. Tech stack: Python, Pytorch, Spark, Kubeflow, and Airflow.
Transform data into valuable drug discovery tools and define and measure our scientific impact on drug discovery. Tech stack: Python, Numpy, Pandas, Scikit Learn, Jupyter Notebooks, SQL, and Tableau.
Work in cross-functional teams in an agile environment to manage products, understand data, derive technical and user requirements, and translate them into valuable products that improve drug discovery.
Work in cross-functional teams in an agile environment to define project requirements, set priorities and plan product delivery. Coach and support teams and align your area with the company strategy.
Perform a range of assays and report fundamental DMPK assay results and parameters. Take responsibility for an area of expertise or work to support our expanding discovery and development pipeline.
Manage our internal drug pipeline from target-ID to clinical development. Join a leadership team to coordinate an extended cross-functional team of individual contributors, collaborators and CROs.
Lead tech-enabled small molecule drug discovery programmes to optimise lead compounds into candidates for preclinical development and work with cross-functional teams to enrich our drug portfolio.
Apply insights from human disease phenotypes, genetics and ’omics data analysis to drug discovery and clinical development programmes. Interpret the output of ML analyses of patient-derived data to form hypotheses about the causes of disease that can be tested in the lab or the clinic.
Support small molecule drug discovery from hit identification to lead optimisation and candidate delivery, using AI to reduce cycle times and identify the best compounds to progress to the clinic.
Focus on assay development and screening to support novel target identification and validation and help progress our tech-enabled drug discovery programmes from hit identification to pre-clinical.
Work on a range of different projects on a wide range of cutting-edge technologies. Take ownership of the IT stack to bring it to the next level and maintain and implement new technologies.
Provide business-wide in financial areas such as business partnering, financial modelling, business planning, cost analysis and management accounts. Tools include Excel, PowerBI and Tableau.
Provide business-wide support in financial areas such as annual audits, tax and statutory submissions, in-house financial support (managment accounts, assets, group accounts and expenses) and finance team/business support.
Important note:
Our team will only contact you from the domain @benevolent.ai. If you receive a suspicious contact request, please email hello@benevolent.ai. Thank you.
