Computational Scientist

Sanofi US; Barcelona; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A global biopharmaceutical company in Barcelona is seeking a Computational Scientist to lead the application of machine learning and deep learning techniques to enhance biologics research. The role involves collaborating with teams to implement cutting-edge computational tools, requiring expertise in Python, AI, and familiarity with the pharma R&D process. Strong candidates will hold an advanced degree and possess a robust background in AI applications.

Formación

• Experience applying ML/Deep Learning approaches to molecule-related problems.
• Strong familiarity with protein structure and sequence feature embeddings.
• Proficiency in data visualization and dimensionality reduction algorithms.

Responsabilidades

• Apply cutting-edge computation and ML/DL approaches to improve biologics design.
• Identify, design, and scale AI capabilities to transform research.
• Collaborate with cross-functional teams to accelerate R&D processes.

Conocimientos

Machine Learning

Deep Learning

Artificial Intelligence

Python

Data Visualization

Teamwork

Educación

Advanced degree (M.Sc., PhD) in AI/ML or related field

Herramientas

PyTorch

TensorFlow

Keras

AWS

Descripción del empleo

Computational Scientist

Location: Barcelona

About the job

Sanofi has recently embarked on a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions to accelerate R&D, manufacturing and commercial performance, and bring better drugs and vaccines to patients faster, to improve health and savelives.

In alignment to our digital transformation, we have launched a new major strategic initiative in 2023: the Biologics x AI Transformation. This is positioned to be a unique data-driven team, with expertise in AI platforms, data engineering, ML operations, data science, computational biology, strategy, and beyond. We are working as one to identify, design, and scale state-of-the-art AI capabilities targeted to truly transform how we research biologics.

In this role you will be a dynamic people manager looking to apply cutting‑edge computation, machine learning / deep learning approaches to revolutionize our large molecule computational tools by contributing to accelerating and improving the process of design and engineering of novel biologics drug candidates.

Main responsibilities

• Advanced degree (e.g., M.Sc., PhD) in a field related to AI/ML or Data Analytics such as: Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology or Engineering Sciences
• Some years of industry experience with a track record of applying ML/Deep Learning (DL) approaches to solve molecule‑related problems is an advantage
• Strong familiarity with protein structure or sequencefeaturization/embeddings
• Strong familiarity with advanced statistics, ML/DL techniques including various network architectures (CNNs, GANs, RNNs, Auto‑Encoders, Transformers, PLM etc.), regularization, embeddings, loss‑functions, optimization strategies, or reinforcement learning techniques
• Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, Keras, Scikit‑learn, Numpy, Matpilotlib
• Strong familiarity with data visualization and dimensionality reductionalgorithms
• Ability to develop, benchmark and apply predictive algorithms to generate hypotheses
• Strong knowledge of AWS cloud computing services (Azure & GCP is a plus)
• Excellent written and verbal communication, strong tropism for teamwork
• Experience designing, developing, optimizing, and / or maintaining ML/DL approaches to solve molecule‑related problems
• Strong understanding of pharma R&D process is a plus
• Technical knowledge of software application development and agile methodologies
• Understanding and application of data / digital strategy andgovernance
• A change agent with a combination of business, science & technology, and diplomatic skills

About you

• Advanced degree (e.g., M.Sc., PhD) in a field related to AI/ML or Data Analytics such as: Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology or Engineering Sciences is an advantage
• Familiarity with advanced statistics, ML/DL techniques including various network architectures (CNNs, GANs, RNNs, Auto‑Encoders, Transformers, PLM etc.), regularization, embeddings, loss‑functions, optimization strategies, or reinforcement learning techniques
• Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, Keras, Scikit‑learn, Numpy, Matpilotlib is a plus
• Familiarity with data visualization and dimensionality reduction algorithms
• Ability to develop, benchmark and apply predictive algorithms to generate hypotheses
• Comfortable working in cloud and high‑performance computational environments (e.g., AWS)
• Excellent written and verbal communication, strong tropism for teamwork
• Strong understanding of pharma R&D process is a plus

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!