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
- The Director of Software Engineering will be responsible for shaping the technical vision and goals of the software engineering team at 1910 Genetics
- Lead day-to-day operations of the software engineering team and hold regular 1:1 meetings with engineers on the team
- Mentor and provide technical guidance to junior engineers, fostering a culture of continuous learning and growth
- Operate as an engaged leader with cross-functional teams and provide subject matter and technical expertise for multiple development projects
- 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
- Leverage a deep understanding of technology to make decisions on a scalable architecture, develop tools and infrastructure, and process optimizations
- Communicate project updates on progress, risks, options, barriers, and recommendations to technical and non-technical audiences
- Review technical designs and sign off on development plans for key software and machine learning initiatives
Qualifications
- Bachelor's or master's degree in computer science, software engineering, or a related field
- 10 years as an engineering manager, managing software engineers, product managers, and program managers
- 7 years of hands-on experience as an individual contributor writing code and building software products
- 7 years of experience building large-scale enterprise software products
- 7 years of experience with cloud systems, especially Microsoft Azure
- 5 years of software development experience in a healthcare/biotechnology company, high-tech experience is highly desired
- Proficiency with Github, Python, Javascript, MongoDB, PostgreSQL, React
- Familiarity with containerization and orchestration tools (Docker, Kubernetes) for deploying and scaling applications
- Solid background in data engineering, ETL processes, and data modeling for complex scientific datasets
- Previous involvement in machine learning and AI projects, with a deep understanding of deploying and managing ML models in production
- Strong communication skills to convey complex technical concepts to both technical and non-technical stakeholders
- Ability to communicate the needs of the Biology Team to the Software Organization
- 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
- Experience working for an early to mid-stage startup
- Scientific research background
#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
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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.
