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Absci is looking for a Senior/Staff AI Scientist to advance and deploy protein design models for antibody drug design. In this role, you will apply your broad expertise across specialized disciplines in AI Drug Discovery. We are looking for exceptional contributors with backgrounds in deep learning, protein design and engineering, drug discovery, natural language processing, computer vision, and molecular dynamics to develop innovative approaches to creating and assessing therapeutic antibodies in silico.

Absci offers AI Scientists a unique opportunity to both develop novel, cutting edge machine learning models and apply these models directly to identify novel targets, unlocking previously intractable disease interventions, and to generate candidate antibody therapeutics.

This is a remote position, with the option to work onsite at our New York City office or our Vancouver, WA headquarters if within commuting distance

Why Absci’s AI team?

Absci offers AI Scientists a unique opportunity to both develop novel, cutting edge machine learning models and apply these models directly to identify novel targets, unlocking previously intractable disease interventions, and to generate candidate antibody therapeutics. In particular we:

• Provide our AI Scientists with access to industry-leading compute resources, enabling large-scale experimentation for model training and deployment
• Maintain our own Wet Lab, enabling AI Scientists to validate novel modeling methods via rapid design > build > test > learn cycles
• Developed and are growing our own pipeline of clinical-stage assets, enabling AI Scientists to see their work directly translated into therapeutic impact for patients, * Develop, adapt, and deploy deep learning models that predict the intra- and intercellular signaling effects of potential therapeutic interventions
• Design experiments which generate data to train and validate systems biology models
• Collaborate closely with cross-functional teams comprising Disease Biologists, Structural Biologists, Computational Biologists, and Wet Lab scientists to define and address the problem space within specific indications
• Develop in silico and in vitro validation approaches to iteratively improve design and evaluation methodologies
• Communicate and present experimental results in a manner that is accessible to audiences with highly-diverse backgrounds, driving discussions that lead to high-quality, informed decision-making and program progression
• Deliver and publish high-impact research that advances Absci’s position as a leader in AI-guided antibody therapeutic discovery
• Actively develop organizational talent through coaching and mentoring other Scientists and Engineers
• Ability and willingness to learn new technical skills to improve scientific contributions, Deliver generative AI-enabled source code review and application security engagements. Coordinate with leadership, organize resources, refine and present assessment findings, document recommendations, and mentor junior red team members. Support penetration testing projects, including external and web application testing, while managing engagement delivery and improving security assessment technologies and workflows.

• PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology, Computational Chemistry, Biophysics, or a related field
• Seasoned deep learning expert with 3+ years of post-graduate experience and a strong background in several of the following areas: biological world models, mathematical biology, systems biology, disease biology, computational biology/multi-omics, experiment design to generate and/or handling intra- and intercellular perturbation datasets
• Fluency in Python and PyTorch
• Expertise in large-scale model architecture design and training
• Mastery of proper scoring rules, validation metrics for highly imbalanced biological datasets, and active learning paradigms.
• Demonstrated ability to work collaboratively in an ambitious, fast-paced, interdisciplinary environment
• Demonstrated experience presenting complex technical work to diverse audiences
• Strong publication record in respected, high-impact journals and conferences, Designs and engineers secure network and cloud architectures across AWS, GCP, Azure, and physical data centers. Responsibilities include threat modeling, network segmentation, monitoring, alerting, automation, attack-surface reduction, and secure connection patterns. The role drives strategic security improvements, partners with product and infrastructure teams, communicates architectural decisions, and mentors engineers. Candidates need deep hybrid networking and cloud security expertise, protocol knowledge, scripting ability, independent problem-solving skills, and strong communication. Top Skills: AIApplied CryptographyAWSAzureCi/CdDnsGCPGoHttp/SHybrid Cloud NetworkingPrivate EndpointsPythonService MeshesShell ScriptingTcp/IpTlsTransit GatewaysVpcsZero Trust Architecture

115K-160K Annually Senior level 115K-160K Annually Senior level Cloud * Computer Vision * Information Technology * Sales * Security * Cybersecurity Conduct AWS cloud threat hunting for global clients using Falcon, threat intelligence, cloud logs, queries, and scripts. Review configurations, identify adversarial activity and unauthorized access risks, develop defensive recommendations, and manage client projects. Communicate findings through technical reports, presentations, and stakeholder briefings, including to CISO-level audiences, regulators, and legal counsel. Top Skills: AWSAws-Native ServicesCi/CdCloud Control PlaneCloud LoggingCloud NetworkingCloud SecurityData SecurityFalconGoIdentity And Access ManagementPythonThreat IntelligenceWorkload Security

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. Our Integrated Drug Creation platform combines cutting-edge AI models with a synthetic biology data engine, enabling the rapid design of innovative therapeutics that address challenging therapeutic targets.

Absci is a global company headquartered in Vancouver, WA, and maintains offices in New York City, Switzerland, and Serbia. Learn more at www.absci.com or follow us on LinkedIn (@absci), X (@Abscibio), and YouTube.