Senior Data Scientist, GRN inference and Precision Medicine

Key Skills

Java Programming, Teamwork, Python Programming, SQL, Data science techniques, Data Visualization, Deep Learning, R Programming, Algorithms, Data Analysis

Job Description

We are seeking a Senior Data Scientist to join the AI and Deep Analytics (AIDA), Omics Data Science (ODS) team. ODS closely interacts with all Precision Medicine groups at Sanofi R&D.

The successful candidate will have extensive experience in multi-omics data analysis, gene regulatory network (GRN) inference at bulk and single cell level, with published studies aimed at deciphering complex biological mechanisms. The candidate should also have excellent oral and written communication skills, the ability to learn and acquire new techniques and methodologies as well as a strong tropism for teamwork.

The candidate is expected to execute state-of-the-art GRN inference strategies to support complex projects using multi-omics data analysis for new indication identification, disease endotype characterization, drug repurposing or target identification.

The candidate will directly report to the director of Omics Data Science of AI and Deep Analytics at Sanofi R&D.

The responsibilities of the senior data scientist in AI and Deep Analytics will include:

• Analysis of multi-omics data (including spatial and single cell data).
• GRN inference using different approaches including most recent deep learning based technologies.
• Evaluation of external opportunities in the field of GRN inference as well as setting up and leading external collaborations in the field.
• Close interactions with other data scientists as well as scientists in immunology, oncology, and precision medicine, in an international context (US, Europe, China).
• Updates and reports of relevant results to interdisciplinary project teams and stakeholders.
• A keen awareness of recent developments in data science and bioinformatics and state-of-the-art of AI/ML/DL algorithms and research results.
• Active engagement in evaluation and coordination of both academic and startup collaborations.

Qualifications & Requirements:

• A PhD degree in Bioinformatics, Biostatistics, Biophysics, Computational Biology, Computer Science, and Engineering Sciences
• +5 years of industry experience with a strong record of accomplishments and project experience in applications of AI/ML in biological systems
• Strong familiarity with core concepts in spatial omics data analysis and gene regulatory network inference

• Experience in applying Deep learning frameworks in the context of GRN inference
• Familiarity with data visualization and dimensionality reduction algorithms
• Proficiency in Python or R
• Ability to develop, benchmark, and apply predictive algorithms to generate hypotheses
• Capacity to be a change agent with a combination of business, science & technology, and diplomatic skills

At Sanofi R&D North America, we deliver meaningful solutions for patients. We transform science into breakthrough, best-in-class and first-in-class medicines and vaccines. We believe in creating a diverse and inclusive workforce – and workplace – which brings together the collective brainpower of over 2,000 colleagues and provides you with an exciting place to grow and develop. We set the bar high, and we deliver. Join us and together we will build on our trusted legacy of breakthroughs for society.