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
- Play a pivotal role in designing, developing, and maintaining a state-of-the-art cloud-based platform that empowers our scientists and researchers to make groundbreaking advancements in drug discovery
- Develop, test, and maintain various design and analysis software for experimental work
- Gather scientist requirements and feedback and incorporate them into the development process
- Provide continuous technical guidance and support for engineers, bioinformaticians, and data scientists
- Document and regularly present data at internal meetings
- Collaborate with multidisciplinary teams to understand domain-specific requirements and translate them into technical solutions
- Contribute to code reviews, documentation, and knowledge sharing within the engineering team
- Integrate machine learning and artificial intelligence algorithms into the platform to enable predictive analytics, data mining, and pattern recognition
- Build and maintain efficient data pipelines to handle large-scale data acquisition, storage, and processing
- Ensure the security, reliability, and performance of the platform, adhering to best practices for cloud infrastructure
- Mentor and provide technical guidance to junior engineers, fostering a culture of continuous learning and growth
Qualifications
- Bachelor's or master's degree in computer science, software engineering, or a related field
- 5 years experience with full stack development, both front-end and backend
- Proficiency with Github, Python, Javascript, MongoDB, PostgreSQL, React
- Familiarity with containerization and orchestration tools (Docker, Kubernetes) for deploying and scaling applications
- Deep expertise with CI/CD systems
- 3 years of experience with cloud systems, especially Microsoft Azure
- 3 years of hands-on experience as an individual contributor writing code and building software products
- 3 years of experience building large scale enterprise software products
- Experience developing, deploying, and scaling any Enterprise software solutions
- Solid background in data engineering, ETL processes, and data modeling for complex scientific datasets
- Excellent problem-solving skills, ability to work independently, and a collaborative mindset for effective teamwork
- Strong communication skills to convey complex technical concepts to both technical and non-technical stakeholders
Nice to Haves
- Experience working for a small to mid-size startup organization
- Experience working for a biotechnology or healthcare company
- Previous involvement in machine learning and AI projects, with a deep understanding of deploying and managing ML models in production
- Experience mentoring junior level software engineers
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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
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What We Do
We are a biotechnology company integrating AI, computation and biological automation to accelerate the design of small molecule and protein therapeutics. Our mission is to decrease the timeline and cost of drug development, while improving the success rate of bring innovative medicines to patients in need.
We have two drug discovery engines - ELVIS™ and ROSALYND™ - that enable the design of both small molecule and protein therapeutics, an unmatched capability in the AI drug discovery space. Our therapeutic area-agnostic, end-to-end technology powers the full length of early drug discovery - from novel hit discovery to hit to lead, and lead optimization.
We are currently applying our technology to drug discovery programs in several areas including, but not limited to, neuroscience, infectious disease, immunology and oncology.
