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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.
Role Description
- Reporting to the Chief Technology Officer, lead the integration and advancement of 1910’s AI technologies
- Work cross-functionally across all elements of 1910's Input-Transform-Output (ITO™)
- Manage, mentor, lead a team of AI Research Scientists and Machine Learning Engineers
- Build and lead the AI Research team by translating drug discovery challenges into breakthroughs via deep learning, computational chemistry, and wet lab biology
- Direct the AI Research team toward corporate objectives in drug development and software-as-a-service strategies
- Participate in and oversee the writing of scientific papers
- Foster a culture of innovation and scientific excellence within the drug discovery team, promoting collaboration, knowledge sharing, and continuous learning
- Act as the main liaison between the technical leadership team and the AI Research team
- Stay updated on emerging AI technologies and trends, integrating innovative solutions to enhance 1910’s AI strategy
- Drive the adoption of new tools and technologies that advance 1910's AI and capabilities
Qualifications
- PhD in a relevant discipline (Computer Science, Machine Learning, Statistics, etc.)
- 10+ years of industry experience in AI and Machine Learning
- 5+ years of relevant pharmaceutical or drug development experience
- 5+ years of experience as VP of AI Research in an AI-driven techbio company, leading computational sciences (computational theoretical chemistry, computational medicinal chemistry, computational biology, bioinformatics, and digital biology) and supporting digital infrastructure systems (biological/lab automation, software automation and workforce automation
- Experience in managing AI projects that resulted in impactful products
- Highly skilled in various aspects of AI research and development, including data preparation, architectural design, training, evaluation, and production of AI models
- Familiarity with best practices in software development, including version control and related methodologies
- Strong track record of publications of individual research in top-tier AI journals and conferences
- Familiar with best machine learning operations (MLOps) practices for scaling AI models for commercialization
- Ability to translate complex scientific concepts into actionable business strategies
- Talent magnet who thrives in hiring, retaining, mentoring, coaching, and professionally developing top 1% talent
- Excited about working onsite 5 days a week and leading a team that is onsite 5 days a week
Nice to Haves
- Experienced working on Generative AI projects involving large language models (LLMs), with a focus on protein and molecule language models being a bonus.
- Experience leading an influential AI/ Drug Design lab in academia
- Prolific Career as researcher in AI and Drug Discovery
#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
1910 Genetics Boston, Massachusetts, USA Office
451 D Street, Suite 905, Boston, MA, United States, 02210
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
