SENIOR DATA SCIENTIST - MACHINE LEARNING & AI IN GENOMICS

Senior Data Scientist - Machine Learning & AI in Genomics Location.
Barcelona, Spain Competitive Salary & Benefits    Meaningful Impact.
Make a more meaningful contribution Impact patients’ lives every day   Make a more meaningful impact in your career, with greater ownership and accountability to make a contribution.
And in return… we’re looking for people driven by making a difference to patients’ and society, dedicated to doing the right thing.
Be part of the team where you are empowered to follow the science   Join the team that follows the science unlike anywhere else.
This is the place for curious minds.
Dig deep into the biology of complex disease and uncover breakthroughs.
Our belief powers us to push the boundaries.
As we improve success rates, we keep moving forward.
Celebrating both successes and failures along the way.
What you’ll do   We have an opportunity for a talented  Senior Data Scientist  at the Centre for Genomics Research (CGR) to be part of ground-breaking research at the forefront of  human genomics.
You will be part of a dynamic team in CGR’s multidisciplinary genomics research environment comprising bioinformaticians, computational biologists, genome scientists, software engineers, postdoctoral researchers, disease area specialists.
You will also work closely with specialists in translational science, drug discovery, pre-clinical modelling, and clinical development.
In this role you will be responsible for designing and implementing novel machine learning and deep learning methods applied to genomics.
This includes identifying research problems that could be addressed through structured or unstructured, complex genomic data and developing appropriate models and analytical solutions.
Design and implement novel machine learning and deep learning methods for variant interpretation and other genomics research questions  Extract research and/or business value from highly unstructured genomic data and metadata, including the UK Biobank resource  Work with engineering and architecture to support large scale data preparation, the optimisation of analytics platforms and the industrialisation of proven analytics methods  Coordinate and execute analyses within AstraZeneca’s Centre for Genomics Research  Deliver novel insights into the biology of disease, including complex diseases but also extending to rare diseases Develop methods for validation of new targets for medicines and the improvement of selection of patients for clinical trials  Assess the scientific & technical integrity of algorithms and tools within the analysis pipeline  Maintaining a well-developed knowledge of genomic science and technical advances in the international community  Present novel results to top tier genetics and/or machine learning conferences and publish in high impact journals  Collaborate to apply genomic analysis with discovery and development teams  Communicate results to a variety of audiences, technical and non-technical  Ensuring own work, and work of team, is compliant with Good Laboratory Practice, Safety, Health and Environment standards and all other internal AstraZeneca standards and external regulations  Essential Criteria   PhD degree (or equivalent experience) in Computational Biology, Bioinformatics, Machine Learning, or a related quantitative discipline  Solid experience in developing learning methodologies and building robust production machine learning systems  Strong programming skills and knowledge of algorithms and data structures.
Solid experience in one or more languages (Python, R, C++) and in open-source ML packages (e.
.
scikit-learn, PyTorch, TensorFlow, Keras)  Applied experience with deep learning models (such as CNNs and Transformers) Ability to communicate effectively with team members and non-experts, both verbally and through documentation  High level understanding or interest in the potential of genomics to impact drug discovery  Ability to prioritize and problem-solve   Excellent interpersonal skills and willingness to work within a team in a quickly evolving environment  Track record of peer-reviewed publications in high-level scientific journals  Passion for applying machine learning to the life sciences domain  Desirable Criteria   Experience in large-scale data analysis in genomics and/or other omics Experience with Knowledge Graphs and Graph Neural Networks  Familiarity with Generative AI (LLMs) Experience in Unix environments and Bash scripting  Experience in high performance and/or cloud computing  Why we love it If your passion is science and you want to become part of a team that makes a bigger impact on patients’ lives, then there’s no better place to be.
Here we truly understand science and apply it every day to strengthen and grow our pipeline! AstraZeneca embraces diversity and equality of opportunity.
We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.
We believe that the more inclusive we are, the better our work will be.
We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.
We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.