Location: Budapest – Sanofi Business Services, Váci GreensFlexible working: 60% home office / weekJob type: Permanent, Full time
We are looking for a data scientist that can lead the application of machine learning models in the pharma R&D domain.
The ideal data scientist joining our team will have experience applying machine learning algorithms to single cell and spatial omics data. He/She will develop algorithms to enrich and complement the experimental results conducted by our R&D teams and will help build standard pipelines and tools to be used across the company by our research teams.
The Data 4 New Technologies team is focused on developing methods to get value out of new life-sciences data sources. As such, the job will potentially work with datasets derived from single cell sequencing, spatial transcriptomics, digital biomarkers, IoT medical devices, amongst other biomedical datasets.
We are looking for individuals ready to challenge the status quo to ensure development and impact of Sanofi's AI solutions for developing the drugs and improving the clinical trials that will benefit the patients of tomorrow. The ideal candidate will have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML solutions while working across different technologies and in a cross-functional environment.
Position duties:
In this role you will develop globally scalable AI solutions that are strategically prioritized by the Sanofi R&D area across Global Business Units (General Medicine, Vaccines and Specialty Care) and Therapeutic Areas for the acceleration of our drug development processes. Examples of AI projects include, but are not limited to, biomedical image analysis, spatial transcriptomics, multi omics data processing, biomedical signal processing, clinical data analysis, multimodal modeling.
You will specifically:Apply data science expertise in machine learning, deep learning, statistics, text-mining/NLP, forecasting and optimization to multiple analytics projectsBuild models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologiesDesign and implement algorithms to generate insights and visualizations derived from Spatial Transcriptomics experiments. Use open-sources and state-of-the-art scripts and libraries to complement and enrich Spatial Transcriptomics experiment resultsWork on full-spectrum of activities, from conducting ML experiments to delivering production-ready modelsUse data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data productsWork closely with product owners, developers, engineers, and MLOps to deliver AI/ML solutionsAdhere to and promote to best practices and standards for data science process (including documentation) and code developmentsRemains up to date with industry practices and emerging technologies such as generative AI and test creative ways of offering AI solutions to enhance existing solutionsMentor and coach junior data scientists and interns
Key Functional requirements and qualifications:Experience developing methods for analysing biomedical and/or omics dataHands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/MLExpertise within most of the following areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, time series analysis, Bayesian statistics, optimization, single cell sequencing, spatial omicsExperience creating and deploying code libraries using functions, classes in Python in AI product-focused development under an agile environmentExcellent written and verbal communication, business analysis, data visualization and data storytelling skillsA demonstrated ability to work and collaborate in an interdisciplinary team environmentStrong interest in the use of ML methods in the life and medical sciences to improve patient livesExpertise with core data science languages (such as Python, R, Scala), and familiarity with different database systems (e.g. SQL, NoSQL)Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)Experience in production-ready software developmentExperience in communicating with business and scientific audience, expressing important DS concepts in a language understanble by the aucience, and interpreting feedback from business and scientistsNice to have experience in a complex global organizationFluent in English (Other languages a plus)
Key Technical requirements and qualifications:PhD in computational biology, computer science, mathematics, physics, statistics or a related quantitative discipline with strong coding skills with 2+ years of analytical experience, OR Master’s Degree in relevant domain with 6+ years of analytical experience4 years of experience working on the development of methods related to life sciences, biomedical data or chemical engineeringExpertise with core data science languages (predominantly with Python, and nice to have R & Scala), experience working with database systems (such as SQL, NoSQL)Experience developing deployable code and deploying models in product-focused development under an agile environmentExperience working in cloud-based environment such as AWS or GCP or Azure and using cloud-technologies for building AI-solutionsExperience in production-ready software developmentKnowledge of commonly used DS visualization frameworks and libraries like streamlit, Plotly, Shinny, etcKnowledge of git/version control systemsDisciplined AI/ML development (CI/CD, Orchestration)Familiarity with ML model serving through enterprise-level Application Programming Interfaces (APIs)Experience with various enterprise-level Application Programming Interfaces (APIs)
Pursue Progress. Discover Extraordinary.
Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
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Pursue progress, discover extraordinary
Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!