AI Research Scientist II

About the role

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 II 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

Propose and prototype AI and Machine 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 minimal support from senior members of the AI Research Team

Write and publish peer reviewed scientific articles with minimal support from senior members of the AI Research Team

Periodically presenting recent AI research at internal journal clubs

Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics 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.)

2 years of relevant industry experience (AI, Drug Discovery, etc.)

A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.)

Industry e xperience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.)

Wet lab validation of at least 1 AI-driven drug discovery initiatives

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.)

Strong track record of publications of individual research in top-tier AI journals and conferences

Ability to demonstrate business value related to developed AI and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts

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

#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