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8 mo agofound 7 d ago
AI Research Scientist I
What the posting is about
Propose and prototype AI/ML solutions for drug discovery. Apply productionized models to advance drug design campaigns. Write and publish scientific articles. Work cross-functionally with scientific colleagues.
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentFull time
LocationBoston, MA
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-01-26
Found viagreenhouse, direct from their system
We saw it 8 months after it went up.
The posting, as the company wrote it
Company Overview
We are the only AI-native biotech, pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery.
We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists.
Join us to build the world’s first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas.
As an AI Research Scientist I at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods, and contributing to our active drug design campaigns by applying 1910’s productionized AI/ML models.
Role Description
Propos e and prototyp e AI and M achine Learning solutions that address use cases in 1910’s design pipeline
Apply productized AI and Machine Learning models to advance 1910’s active drug design campaigns with the support of senior members of the AI Research Team
Writ e and publish peer reviewed scientific articles with the support of senior members of the AI Research Team
Periodically presenting recent AI research at internal journal clubs
Learn how a molecule processes through the drug discovery process
Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformat ic s questions
Keep up-to-date on cutting-edge research in the AI for drug discovery space
Qualifications
PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.)
A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.)
Experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.)
Demonstrated experience writing clean, maintainable, production-quality Python code, with examples available in code repositories.
Familiarity with MLOps and DevOps best practices
Exposure to distributed computing (Microsoft Azure, HPC Cluster , etc.)
Ability to work effectively in a fast-paced startup environment with evolving projects and shifting priorities driven by business needs
Excellent written and verbal communication skills, including the ability to create clear documentation for roadmaps, proposals, and related materials
Nice to Haves
An understanding of how a molecule progresses through the drug discovery process
Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.)
#LI-Onsite
Diversity and Inclusion (1910’s Promise)
At 1910, we believe that a diverse, equitable, and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. 1910 is proud to be an equal-opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While 1910 supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
Benefits and Perks
Competitive compensation package
Above market benefits
Generous vacation and parental leave
Super cool team building activities
Great colleagues
Copied from 1910’s own board, not rewritten. Original ↗
Also open at 1910
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