Senior​/Associate Principal AI Scientist - Hit Discovery and Protein Sciences

Job Title:
Senior AI Scientist - Hit Discovery and Protein Sciences

Location:
Cambridge, UK

Competitive salary and benefits

Are you acurious

Dataand AIScientist seeking a role where yourexpertisecan make an extraordinary impact? This is an opportunity to join a dynamic and enthusiastic environment and transform the way we discoverhitsand protein reagentsin drug discovery.

Diverse Minds. Bold Disruptors. Meaningful Impactthrough Partnership.

At AstraZenecawe'rededicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit.

There'sno better place to make a difference to medicine,patient sand society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning,growthand development.

Join a place built on innovation and creativity. We harness digital, data science & AI to fast-forward our research. Your scientific vision would ensure that new small moleculesand peptidesdiscovered usingyour skillsandinpartnershipwith our technical platformscan serve as the seeds for future medicines and make a real difference in our mission to help patients.

You will be basedin early drug discovery R&Dwithin
Data Sciences & Quantitative Biology
department in Discovery Sciences and will work closely with our colleagues in the Hit Discovery and Protein Sciencesdepartments.

To learn more about our department and culture watch this video: A Life-changing day - Meet our Quantitative Biology team at AstraZeneca.

You will develop data science, computational and AI solutions to enable the discovery of hits (small molecules and peptides) and protein reagents enhancing the output from our hit and ledatageneration platforms. This will involve close collaboration with screening scientists, chemists, biologists, informaticians and statisticians. Wetruly believe that everyone hasan important rolein drug discoveryandeach individualbringsaunique set of competencies. Your curiosity and passion for personal development combined with support from colleagues and leaders, will ensure you maximise your potential and contribution, building from your current skills and experience.

Our team is a highly collaborative group of scientists, working in an evolving technical and scientific landscape. Therefore, you will be comfortable workingin a dynamic and team-focussedenvironment. Critical will be tohave effective communication skills and a proactive and delivery-focused approach. Aligned to Hit Discovery and Protein Sciencesactivities, you will bring analytical skills,innovation and your strategic mindsetto this exciting and evolvingarea.

• A PhD or equivalent numbers of years in industry/academia in bioinformatics, cheminformatics, computer science, AI/ML, statistics or related computational and data science subject areas applied to chemistry, biology or medicine.
• Experience in data science, AI/ML and/or modelling methods applied to the analysis of highly multidimensional or unstructured datasets in molecular, drug discovery or biomedical contexts.
• Programming in Python, R and/or Shell, and experience with querying and integrating data from disparate sources (e.g. SQL, No
  
  SQL, Graph or file-based approaches).
• Experience in developing computational workflows applied to the analysis of experimental or AI-generated data (e.g. Nextflow or Snakemake), knowledge of version control systems (e.g. Git and Git Hub) and high-performance computing infrastructure.
• Experience reporting data analysis results, drawing conclusions and defining recommended actions in interdisciplinary and collaborative environments.

• Experience in AI/ML and/or physics-based mathematical modelling methods applied to peptides, small molecules and/or proteins.
• Experience in data analysis of high-throughput assays (peptides /small molecule screens, virtual or high content screening, chemical profiling, mass spectrometry, recombinant protein expression and/or omics).
• Experience in developing software and packages.
• Track record of publishing relevant research as preprints, peer-reviewed journals, conferences, and other…