Location:

New York City (Hybrid)

About Us

We are an early-stage AI-driven biologics discovery startup on a mission to revolutionize drug development via an end-to-end, closed-loop platform. Our approach combines:

AI/Agentic Systems – Deploying advanced, autonomous agent frameworks capable of rapidly iterating on molecular designs.
High-Throughput Validation – Generating real-time, scalable experimental data to refine and improve models iteratively.
Seamless Feedback Loops – Utilizing fully integrated computational and laboratory workflows to compress discovery timelines.

In the final stages of securing a multi-million-dollar Pre-Seed round, we are building a system where AI generates novel biologics, high-quality experimental data validates them, and feedback continuously enhances discovery. Our goal is to redefine biologics drug discovery by seamlessly linking computational and experimental approaches in a fully data-driven cycle.

This Role

We are seeking a hands-on Co-founder/CTO with a proven track record of architecting GPU/CPU-intensive software platforms, integrating large-scale data pipelines, and tackling complex computational biology challenges. You will design and lead the development of our closed-loop, AI-powered discovery platform, with particular emphasis on building agentic systems to automate and optimize biologics design. In this role, you will collaborate closely with wet-lab scientists, ML engineers, computational biologists, and protein designers to ensure our platform delivers robust, high-impact results:

Hands-On Development: Lead the design and coding of complex software systems, including many GPU-intensive software, to handle large volumes of high-dimensional biological data.

Agentic/automated System Innovation: Incorporate agent-based or multi-agent frameworks to automate the design, selection, and optimization of biologics.
Real-Time Data Integration: Architect end-to-end pipelines, from raw experimental outputs to iterative model training and deployment.
Strategic Impact: Shape the technical vision of the company and drive the adoption of innovative computational methodologies.

Key Responsibilities

Platform Architecture & Engineering

Architect and implement a scalable, high-performance computing environment that accommodates GPU/CPU-intensive workflows.
Integrate modern DevOps best practices (containerization, orchestration, CI/CD, automated testing, code reviews, version control) to ensure rapid, reliable, and secure deployment cycles.
Oversee the development of cloud infrastructure, monitoring, and observability to maintain high availability and fault tolerance.

Agentic/Autonomous Systems

Develop and deploy agent-based frameworks to streamline biologics design, including self-directed molecular generation and optimization algorithms.
Integrate reinforcement learning, multi-agent collaboration, or other agentic approaches within broader discovery pipelines.

Computational Biology & High-Dimensional Data

Ensure seamless ingestion, transformation, and management of multi-omics and assay data for machine learning applications.
Collaborate with bioinformaticians and experimental biologists to refine data collection protocols for maximum predictive power.
Plus: Familiarity with protein language models (e.g., ESM, ABLang) and structural-based tools (e.g., RFdiffusion, AlphaFold, Rosetta suite) for protein design and prediction is strongly desired.

Cross-Functional Leadership

Build and lead an interdisciplinary technical team spanning software engineering, data science, protein design, and computational biology.
Collaborate with wet-lab operations to align experimental designs with computational modeling needs.

Strategic Growth & Vision

Contribute to business development, investor presentations, and strategic partnerships.
Identify emerging technologies, tools, and frameworks (e.g., container orchestration, large-scale workflow engines, HPC frameworks) that can further enhance the company’s competitive edge.

Qualifications

Hands-On Development: Proven proficiency in Python, C++/Java, or related languages. Experience with large-scale software architectures, distributed systems, and HPC frameworks (CUDA, MPI, Spark, or similar).
Agentic Systems: Familiarity with reinforcement learning, multi-agent simulation, or agent-based methodologies is highly desirable.
DevOps & Best Practices: Strong understanding of CI/CD pipelines, Docker/Kubernetes, Git workflows, automated testing, code review processes, and continuous monitoring/logging solutions.
Background in computational biology, bioinformatics, or a related field, with proficiency in handling large-scale biological datasets.
Protein Design: Prior hands-on experience using protein language models (e.g., ESM, ABLang) or structural-based tools (RFdiffusion, AlphaFold, Rosetta suite) is a significant plus.
Understanding of biologics discovery workflows (protein engineering, antibody discovery) is highly valuable.

Leadership & Entrepreneurial Drive
Proven track record in managing cross-functional teams or leading R&D efforts in a startup/fast-paced environment.
Excellent communication skills, capable of translating complex technical ideas across scientific and business audiences.
Self-starter with a passion for innovation and a desire to make a massive impact in healthcare.

Education & Experience

Advanced degree (Ph.D. or M.S. with significant experience) in Computer Science, Computational Biology, Bioinformatics, or a related field.
Demonstrated record of success implementing data-intensive, HPC-based, or ML-driven software platforms.

Why Join Us

Founder-Level Ownership: As a co-founder, you will be a key decision-maker with significant equity in the company’s success.
Cutting-Edge Science & Tech: Build agentic/AI systems and next-gen computational biology applications that can redefine the future of drug discovery.
Collaborative Culture: Partner with a world-class team of scientists and entrepreneurs, united by a shared mission to push the boundaries of drug discovery.

How to Apply

If you are excited about building agentic systems for biologics discovery and have the technical and leadership acumen to make it happen, we want to hear from you. Please apply with your CV, a brief statement of your relevant experience, and any relevant examples of your work (GitHub, portfolio, etc.).

We are an equal-opportunity employer. We welcome candidates from all backgrounds to apply and help us use today's AI to make tomorrow's medicine.

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