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1910 Genetics

AI Research Scientist III

Reposted 20 Hours Ago
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In-Office
Boston, MA
Senior level
In-Office
Boston, MA
Senior level
The AI Research Scientist III will develop AI/ML solutions for drug discovery, mentor junior researchers, and publish scientific articles while managing drug design projects.
The summary above was generated by AI

Company Overview 

1910 Genetics is a Series A stage biotechnology company that is pioneering a novel Input-Transform-Output (ITO) platform as the first ever horizontal AI infrastructure for drug discovery. 

In a crowded space with hundreds of AI drug discovery companies, 1910’s ITO platform is differentiated by: 

  • Modality agnostic drug discovery: our platform is capable of designing both small molecule and large molecule therapeutics across all disease areas, with an initial focus on neuroscience, oncology, and autoimmune diseases.
  • Proprietary massive multimodal data, which overcomes the data scarcity problem that prevents frontier AI models from being utilized for drug discovery.
  • Multi-AI agent systems that include a robust collection of frontier AI/ML models, each of which works in a task-oriented manner to achieve the multi-parameter optimization problem of drug discovery and development.
  • A state-of-the-art (SOTA) fully-automated, high throughput wet laboratory in the premier Boston Seaport District for both data generation for AI model training as well as validation of the safety and efficacy of drug candidates that are outputted by our frontier AI models.
  • An unprecedented partnership with Microsoft, which positions 1910 as the only biotech/pharma company leveraging Azure Quantum Elements, a groundbreaking, AI-driven, high performance computing (HPC) cloud architecture for advanced AI.
  • Bespoke conversational AI chatbots that provide a customer friendly UI/UX to access our platform for specific drug discovery tasks.
  • Being the only biotech company helping pharma companies integrate 6 core areas of AI infrastructure.

AI Research Scientist III 

Roll up their 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  
  • Independently apply productized AI and Machine Learning models to advance 1910’s active drug design campaigns  
  • Independently write and publish peer reviewed scientific articles  and mentor junior AI Researchers with their work  
  • 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  
  • Manage junior AI Research Scientists including having weekly 1:1s, and regular performance reviews  

Qualifications 

  • PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) 
  • 3+ years of relevant industry experience (AI, Drug Discovery, etc.) 
  • A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.)  
  • Industry experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.)  
  • An understanding of how a molecule progresses through the drug discovery process 
  • Wet lab validation of at least 2 AI-driven drug discovery initiatives 
  • The ability to write clean, maintainable, production-quality Python code  
  • Familiarity with MLOps and DevOps best practices  
  • Exposure to distributed computing (Microsoft Azure, University 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 Larning solutions in biology and medicinal chemistry related to your modeling efforts 
  • Excellent written and spoken communication skills  

Nice to Haves 

  • Past experience managing junior AI Research Scientists  

#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 

Top Skills

AI
Deep Learning
DevOps
Machine Learning
Azure
Mlops
Python
HQ

1910 Genetics Boston, Massachusetts, USA Office

451 D Street, Suite 905, Boston, MA, United States, 02210

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