50 jobs found

At Basecamp Research, we're seeking a Head of AI to lead our team. Who we are & about this role We believe the future of biotech will be driven by combining diverse natural data sets with cutting-edge AI algorithms. We've built the largest ethically sampled biodiversity database and demonstrated state-of-the-art models in biology. After raising $60 million in Series B funding, we're expanding our team to develop next-generation biological foundation models. This role involves developing AI strategy, leading the AI team, and managing academic and industry partnerships, working in a highly collaborative environment of scientists and engineers. Responsibilities Lead and manage a team of AI/ML researchers and engineers, fostering innovation Oversee development of novel AI/ML models and algorithms Collaborate with scientists, bioinformaticians, and engineers to define research goals and translate findings into applications Manage multiple research projects, ensuring alignment with company objectives Design AI system architecture, balancing research and production needs Provide thought leadership and mentorship within the team Represent Basecamp Research's AI capabilities at conferences, publications, and collaborations About You (Required): A graduate degree in Computer Science, Machine Learning, Computational Biology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical leadership role or 3 years in management Strong publication record or expertise in generative AI, deep learning, or computational biology Experience applying AI to biological problems, especially protein design or genomics Proven success in leading AI research projects and translating research into applications Excellent communication skills for diverse audiences Experience training large generative models on HPC GPUs or cloud platforms (AWS, Lambda, Azure) Strong problem-solving skills and critical thinking Strategic planning abilities Additional Skills (desired): Experience with protein or DNA bioinformatics MLOps expertise Software engineering skills, data pipelining (e.g., Airflow), and cloud deployment experience Familiarity with Agile methodologies If you're interested in joining as our new Head of AI, we'd love to hear from you!

Vacancy for Senior Research Data Steward at University College London 12 May 2024 London Full-Time About us The UCL Centre for Advanced Research Computing (ARC) is UCL's institute for infrastructure and innovation in digital research, supporting supercomputers, datasets, software, and people that enable computational science and digital scholarship. We are a hybrid organization combining a professional services department providing reliable and secure infrastructure to UCL research groups, and a research laboratory for advancing computational and data-intensive research methods, collaborating with academics across disciplines. We house research technology professionals-including research software engineers, HPC systems engineers, dev-ops specialists, data engineers, data scientists, and data stewards-who support and collaborate in UCL research activities. Research Data Stewards (also known as research data managers, data consultants, data wranglers, or bioinformaticians) offer technical support and consultancy to UCL researchers, assisting with data management, policy compliance, and promoting Open Science and FAIR data principles. They will be embedded within research projects but also contribute to new research proposals and collaborate on designing research data services. About you Successful candidates will have experience conducting data-intensive research within an academic environment and possess technical skills to document, process, and transform data. Excellent communication skills are essential to clearly explain technical concepts to non-technical staff. At the Senior grade, candidates should have a strong background working with sensitive data, understanding data governance, information security, and risk management, and be familiar with issues related to handling and disseminating sensitive data. We are especially interested in applicants with experience in areas such as ISO27001 certification, Information Security Management Systems (ISMS), Trusted Research Environments (TRE), Secure Data Environments (SDE), Data Safe Havens (DSH), the Five Safes model, healthcare data processing, NHS Data Security and Protection Toolkit, anonymising personal data, data protection, and ethics.

At Basecamp Research, we're seeking a Head of AI to lead our team. Who we are & about this role We believe the future of biotech will combine diverse natural data sets with cutting-edge AI algorithms. We've built the largest ethically sampled biodiversity database and demonstrated state-of-the-art models in biology. After raising $60 million in Series B funding, we are expanding our team and resources to develop next-generation biological foundation models. This role involves steering our AI strategy, leading the AI team, and managing collaborations with academia and industry, including partnerships with major tech companies. You'll develop AI strategies based on innovative, science-driven data in a collaborative environment. Responsibilities Lead and manage a team of AI/ML researchers and engineers, fostering innovation Oversee development of novel AI/ML models and algorithms Collaborate with scientists, bioinformaticians, and engineers to define research goals and apply findings Manage multiple research projects aligned with company objectives Design AI system architecture, balancing research and production needs Provide thought leadership and mentorship within the team Represent Basecamp Research at conferences, publications, and collaborations About You (Required): Graduate degree in Computer Science, Machine Learning, Computational Biology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical lead or 3 years in management Strong publication record or expertise in generative AI, deep learning, or computational biology Experience applying AI to biological problems, especially protein design or genomics Proven success in leading AI research and translating it into practical applications Excellent communication skills for diverse audiences Experience training large generative models on HPC GPUs or cloud platforms like AWS, Lambda, Azure Strong problem-solving skills and critical thinking in AI research Strategic planning abilities Additional Skills (desired): Experience with protein or DNA bioinformatics MLOps expertise Software engineering skills, data pipelining (e.g., Airflow), cloud deployment experience Knowledge of Agile methodologies Interested in joining as our Head of AI? We look forward to hearing from you!

We are seeking a talented Data Scientist to work on an exciting project for the development of Digital Twins for rare disease. You will work within a multidisciplinary project team, across the Open Targets, BioModels and Petsalaki research groups at the EMBL European Bioinformatics Institute (EMBL-EBI). This project is funded through the Chan Zuckerberg Initiative with a strong emphasis on making datasets and models open source where possible. 'Digital Twins' involve creating virtual models of real-world patients to simulate their disease trajectories and therapeutic response, which requires modelling complex multi-omics data and clinically relevant endpoints. By their very nature, rare diseases (RDs) are rare - but collectively they account for around 7,000 diseases affecting approximately 300 million individuals worldwide. Due to the heterogeneous and rare/ultra-rare nature of these diseases, having enough samples for each disease (and at a single cell molecular level) is a major challenge. This hinders the ability to study the cause and mechanisms underlying these diseases and thus is a major obstacle for diagnosis and designing treatment options for these patients. To address this challenge, this project aims to develop 'Digital Twins' of rare disease patients by combining mechanistic, GenAI and other machine learning framework models to integrate patient-level multi-omics and clinical data to provide insights into rare diseases. The models will utilize extensive public datasets of single-cell multiomics including transcriptomics from diverse disease conditions, and simulations from mechanistic models. This will be applied to the challenge of limited multi-omics data for rare disease, with the aim of developing rare disease Digital Twins to provide new insights into disease mechanisms and potential treatments. This is an exciting opportunity to make a significant contribution to our understanding of disease biology which may lead to applications such as diagnosis, drug repurposing and new treatment development. You will be responsible for the processing and harmonisation of multi-omics data from disease and healthy patient cohorts, curating benchmarking datasets to test the models, developing and maintaining collaborations across the rare disease and project community, data stewardship and standardisation. You will work collaboratively within a multidisciplinary project team alongside modellers and scientists from EMBL-EBI, Open Targets, and CZI, as well as the wider Biocuration and rare disease community. Main Duties and Responsibilities The Data Scientist's primary tasks will be to collect and process patient-derived multi-omics datasets linked with clinical phenotypes for several complex and rare diseases. You will also create healthy benchmarking datasets and validation datasets to train and test the models that are developed. You will work closely alongside the ML Modeller and Bioinformatician on the project team, ensuring data is appropriately harmonised, structured and processed through pipeline workflows for use in models. You will also help with testing of the model outcomes and have an opportunity to analyse the outputs. A strong aspect of the role will be helping to coordinate and develop collaborations with the rare disease community. Safe data stewardship will be a key responsibility, as well as ensuring data and models are made open-source and publicly available where possible. In particular, and in addition, to the above, this role will involve: Scoping of publicly available single cell multi-omic datasets with phenotypes at individual level for healthy and disease tissues, with a strong focus on transcriptomic expression data Evaluation of publicly available biomodels for healthy and disease tissues Help coordinate existing collaborations across the rare disease, industry and project community, and help initiate and develop new collaborations Collection and processing of patient-derived multi-omics datasets (single cell where possible) along with clinical phenotypes for the models, using appropriate data standards and ontologies and developing or utilising data processing workflows Curation of validation/benchmarking datasets to train and test the models, and helping to test and validate the model outcomes Taking ownership of data management overall for the project, with responsibility for applying to data access when necessary, data coordination between team members, ensuring data safety, control and ensuring data agreements are adhered to Making datasets and models openly available, when possible, in standardised frameworks for use by the wider community Actively collaborate with global consortia, leveraging advanced biological knowledge to harmonise data from disparate sources. The role may require some international travel to conferences or meetings. You have A Bachelors, Masters (or equivalent) degree in medical or biological sciences A higher degree (PhD) or equivalent experience At least 2 years of relevant data scientist, biocuration or bioinformatics experience Prior experience in working with single cell or bulk transcriptomics, and/or human genomics data analysis The ability to apply scientific knowledge in the understanding of scientific research articles and data records Experience of biological/clinical data curation Experience of working with biological databases Experience in developing and running pipelines to process and harmonise datasets Experience of working in a UNIX/Linux environment, very good scripting skills (R or preferably Python) Willingness to learn new skills as the project requires Self-motivated and capable of working both independently and as part of a team Excellent communication, interpersonal and English language skills. You may also have Prior experience with eQTL or GWAS analysis Prior experience with multi-omics data harmonization and integration Working with pipeline workflow management tools such as Nextflow is desirable Experience in reviewing, interpreting and summarising scientific literature Experience in application of automation, text-mining and/or machine-learning to biocuration Experience of working with ontologies or controlled vocabularies Demonstration of being an active member on a collaborative project Experience working with rare or common disease patient cohort data Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £272 monthly child allowance of £328 per child. Non resident allowance up to £556 per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances Hybrid working arrangements Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) Generous time off: 30 days annual leave per year, in addition to eight bank holidays Relocation package including installation grant (as applicable) Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances Contract duration: This position is a 2 year fixed term contract Salary: Monthly salary starting at £3,229 after tax but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances) International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. To apply, please submit a covering letter and CV via our online system. Applications will close on 12/03/2025.