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Senior Data Scientist - Machine Learning & AI in Genomics, Warsaw

Location: Warsaw, Poland

Job Category: Other

EU work permit required: Yes

Job Reference:

c6786e523361

Job Views:

22

Posted:

23.01.2025

Expiry Date:

09.03.2025

Job Description:

Senior Data Scientist - Machine Learning & AI in Genomics

Location: Barcelona, Spain / Warsaw, Poland

Competitive Salary & Benefits

Meaningful Impact: Make a more meaningful contribution to impact patients’ lives every day.

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.

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, and disease area specialists. In this role, you will be responsible for designing and implementing novel machine learning and deep learning methods applied to genomics.

• 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 500,000 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 and rare diseases.
• Develop methods for validation of new targets for medicines and improve selection of patients for clinical trials.
• Assess the scientific & technical integrity of algorithms and tools within the analysis pipeline.
• Maintain 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.
• Ensure compliance with Good Laboratory Practice, Safety, Health and Environment standards and all other internal AstraZeneca standards and external regulations.

Minimum Requirements:

• 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 (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.
• 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!

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