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Company

Original Job Post

Sanofi · 2 days ago

Senior Scientist - Computational Structural Biology and Machine Learning

Waltham, MA

Full-time

Onsite

Senior Level

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Responsibilities

Develop, automate, and apply computational protein design pipeline for vaccine design.

Predict broadly neutralizing epitopes using computational tools.

Model antigens of interest using computational/machine tools.

Conduct computational experiments in computational structural biology with a focus on innovation.

Stay updated with the latest developments in Computational Structural Biology/Machine Learning.

Act as a subject matter expert in computational structural biology.

Produce high-quality analyses and codebases to enhance team capabilities.

Generate IP and participate in patent filings.

Participate in Project Teams and maintain communication with relevant areas of the company.

Build and maintain a network of experts in computational structural biology and machine learning.

Represent the company at relevant conferences and international forums.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Computational protein designAntigen designProtein-protein affinity calculationB cell epitope predictionScripting languagesPythonRPERLProtein modelingHomologyML-basedSequence analysesMolecular dynamicsBig dataCloud computingParallel computingModeling viral antigensThermodynamicsMacromolecule physicsForce field designEssential biochemistryInterfacing with wet-lab experimentalistsNovel algorithmsTesting new modelsEmpirical researchAsymmetrical thinkerDivergent thinkingBusiness opportunities identificationScientific writingBusiness case development

Required

Broad-based scientific training (Ph.D. BioEngineering, Bioinformatics, Computational Biology or Master’s degree with equivalent experience)

Experience in computational protein design is required; experience in antigen design is highly desired

Experience in protein-protein affinity calculation is required

Experience in B cell epitope prediction is required

Experience in scripting languages, such as Python/R/PERL, is required

Experience in protein modeling (homology and ML-based) and sequence analyses is required

Experience in molecular dynamics is highly desired

Experience with big data, cloud computing and parallel computing is required

Experience in modeling viral antigens is required

Mastery of fundamentals (e.g., thermodynamics, macromolecule physics, force field design, protein design, essential biochemistry) in protein design

Experience in interfacing with wet-lab experimentalists is required; wet-lab experience is a plus

Strong experience writing and deploying novel algorithms, developing and testing new models

A strong passion for empirical research and for answering hard questions with data

Asymmetrical thinker who sees patterns of the big picture emerge from the parts. Creative brainstormer, skilled in divergent thinking. Ability to navigate ambiguity and interact effectively with unconventional people and ideas

Highly flexible and adaptable individual able to thrive in a fast pace and ambiguous environment

Ability to process multiple inputs to develop a clear understanding of a problem, issue or potential solution and translate them into practical business opportunities

Excellent analytical and problem-solving as well as communication, scientific writing and presentation skills. Ability to put together a convincing business case

Excellent communication skills

Preferred

Experience in molecular dynamics is highly desired

Experience in interfacing with wet-lab experimentalists is required; wet-lab experience is a plus

Company

Sanofi

Glassdoor

4.0

Sanofi is a healthcare company that provides treatments and the protection of life-saving vaccines.

Founded in 1973

Paris, Ile-de-France, FRA

10,001+ employees

https://www.sanofi.com

H1B Sponsorship

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Trends of Total Sponsorships

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2020 (45)