Sanofi
Biologics x AI Moonshot (BioAIM) Computational Scientist - VIE Contract
Sanofi, Cambridge, Massachusetts, us, 02140
Biologics x AI Moonshot (BioAIM) Computational Scientist - VIE ContractLocation:
United States of America, Cambridge
Target start date:
01/03/2025
About the jobLooking to launch your career at the cutting edge of healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide. As
Biologics x AI Moonshot (BioAIM) Computational Scientist VIE
in our Digital Data & Technology team, you will work on the research, development, and deployment of computation tools which would benefit the large molecule drug discovery processes. The position necessitates robust collaboration with various internal stakeholders across Digital, Research & Development, and support functions within Sanofi as well as external functions.
We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.
Main responsibilities:
Track the state-of-the-art (SOTA) approaches for antibody structure prediction, antibody property prediction, and antibody generation.
Collect and curate internal/external datasets for model development.
Apply the SOTA approaches for Sanofi internal antibody discovery projects.
Perform benchmark/result analysis for the SOTA approaches.
Deploy useful SOTA approaches to Sanofi computational platform.
Participate in regular meetings of the relevant organization with other scientists/engineers.
Close interactions with other Computational scientists, data engineers, software engineers, UX (User Experience) designers, as well as research scientists in core scientific platforms focusing on protein therapeutics, in an international context (United States, Europe, China).
About youExperience:
Prior experience in Artificial Intelligence/Machine Learning method deployment in a production environment.
Soft and Technical skills:
Hands-on experience with deep learning model training and with data manipulation in production environments.
Hands-on experience with computer vision and with data visualization and dimensionality reduction algorithms.
Solid understanding of basic machine learning models including classifiers, regressors, dimension reduction.
Programming Languages: Python, C, C++, SQL, Latex.
Knowledge of PyTorch, Git, Apache Spark.
Strong organizational skills, an entrepreneurial mindset, and the ability to work effectively in a team environment.
Good communication skills.
Education:
Master’s degree in Computer Science or related field (major in AI or machine learning).
Languages:
Fluency in both English and French.
Why choose us?iMove is a unique program tailored for European youth interested in challenging themselves with meaningful assignments across the globe. At Sanofi, we have a strong ambition to invest in young talents who will drive the success of Sanofi tomorrow. Sanofi’s Work Abroad Program, iMove, offers jobs-assignments with actual responsibilities and a perspective to grow.
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.
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United States of America, Cambridge
Target start date:
01/03/2025
About the jobLooking to launch your career at the cutting edge of healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide. As
Biologics x AI Moonshot (BioAIM) Computational Scientist VIE
in our Digital Data & Technology team, you will work on the research, development, and deployment of computation tools which would benefit the large molecule drug discovery processes. The position necessitates robust collaboration with various internal stakeholders across Digital, Research & Development, and support functions within Sanofi as well as external functions.
We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.
Main responsibilities:
Track the state-of-the-art (SOTA) approaches for antibody structure prediction, antibody property prediction, and antibody generation.
Collect and curate internal/external datasets for model development.
Apply the SOTA approaches for Sanofi internal antibody discovery projects.
Perform benchmark/result analysis for the SOTA approaches.
Deploy useful SOTA approaches to Sanofi computational platform.
Participate in regular meetings of the relevant organization with other scientists/engineers.
Close interactions with other Computational scientists, data engineers, software engineers, UX (User Experience) designers, as well as research scientists in core scientific platforms focusing on protein therapeutics, in an international context (United States, Europe, China).
About youExperience:
Prior experience in Artificial Intelligence/Machine Learning method deployment in a production environment.
Soft and Technical skills:
Hands-on experience with deep learning model training and with data manipulation in production environments.
Hands-on experience with computer vision and with data visualization and dimensionality reduction algorithms.
Solid understanding of basic machine learning models including classifiers, regressors, dimension reduction.
Programming Languages: Python, C, C++, SQL, Latex.
Knowledge of PyTorch, Git, Apache Spark.
Strong organizational skills, an entrepreneurial mindset, and the ability to work effectively in a team environment.
Good communication skills.
Education:
Master’s degree in Computer Science or related field (major in AI or machine learning).
Languages:
Fluency in both English and French.
Why choose us?iMove is a unique program tailored for European youth interested in challenging themselves with meaningful assignments across the globe. At Sanofi, we have a strong ambition to invest in young talents who will drive the success of Sanofi tomorrow. Sanofi’s Work Abroad Program, iMove, offers jobs-assignments with actual responsibilities and a perspective to grow.
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.
#J-18808-Ljbffr