Staff/Principal AI Scientist - Virtual Tissue

Absci Corporation; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Absci is seeking a Staff/Principal AI Scientist to advance and deploy virtual tissue models. You will apply deep learning and systems biology to identify therapeutic targets and accelerate antibody discovery.

As part of Absci’s AI team, you’ll develop scalable models, collaborate with disease biologists, protein engineers, and wet lab scientists, and communicate insights to drive program decisions. This is a remote role with optional onsite work in NYC or Vancouver, WA.

Qualifications

• PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology, or related field.
• 6+ years for Staff, 8+ years for Principal.
• Fluency in Python and PyTorch.
• Experience with large-scale model design and training.
• Strong publication record in high-impact journals.

Responsibilities

• Develop, adapt and deploy deep learning models predicting signaling effects of therapies.
• Develop data sourcing strategies to train virtual tissue models.
• Collaborate with cross-functional teams to define problem space.
• Develop in silico and in vitro validation to improve design.
• Communicate results clearly to diverse audiences and drive decisions.
• Publish high-impact research advancing Absci’s antibody discovery.
• Mentor scientists and engineers.

Skills

Python

PyTorch

Deep learning

Systems biology

Multi-omics

Communication

Education

PhD or equivalent in ML/CS/Computational Biology

Job description

About Absci

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 http://www.absci.com or follow us on LinkedIn (@absci https://www.globenewswire.com/Tracker?data=QKz5HZjFLFcFlte0YrrQC2_RZ9jEfBFXR4U86Ihyw5yW5l0TJ95wXGFPNkalvX5xK_1tEI7VNfv2YrNozFsC63NWGGcJFFgkAi2YmFiJdyU=), X (@Abscibio https://www.globenewswire.com/Tracker?data=4f2_M87IaqlZJFPpkOQk1a253uTPOorDDdYHnQXguGq6ueEuvsZsV2iqFOgeQlUQ6K7ilz9v9z06zj1J7J095A==), and YouTube https://www.globenewswire.com/Tracker?data=pFUhTvaKrb8dfcipGtnwTLQqi0USS1LieKqGM4t6Vddl7ktIUkXqFv1wY4ZGCfxiynAyNI9n4LdC1YM1TwQcyE1K6LqS719bn4NSniK2Ab0=.

About the role

Absci is looking for an expert Staff/Principal AI Scientist to advance and deploy virtual tissue models. We are looking for exceptional contributors with backgrounds in deep learning and systems biology to develop innovative approaches for discovering therapeutic targets.

Absci’s computational teams (including its AI Scientists) develop and validate software platforms for disease biology, target discovery, and antibody design. These tools are then deployed in partnership with the full Drug Creation team, including disease biologists, protein engineers, and screening scientists, to expand our growing therapeutic pipeline.

The ideal Staff/Principal AI Scientist candidate will:

• Be passionate about solving core problems in biology with a direct path from fundamental science to patient impact.
• Use their expertise to influence the AI team's research agenda, while maintaining high levels of responsibility and accountability for their work;
• Demonstrate their curiosity about the problems we are attempting to solve by developing proficiency in disciplines that fall outside their own areas of expertise, constantly increasing the scale and impact of their contributions.
• Invest in ensuring their work is accessible and interpretable to scientists with other domain expertise.
• Set strategic direction, by leading development and communication of research, insights and strategies across the organization.

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

Key Responsibilities

• Develop, adapt, and deploy deep learning models that predict the intra- and intercellular signaling effects of potential therapeutic interventions
• Develop data sourcing strategies to train and validate virtual tissue 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.

Qualifications

• PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology, Computational Chemistry, Biophysics, or a related field
• 6+ years of experience (Staff) or 8+ years of experience (Principal)
• Seasoned deep learning expert with 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

Legal authorization to work in the United States is required.

Absci is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, sexual orientation, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, marital status, or any characteristic protected under applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which they have applied should make a request to the recruiter or hiring manager, or contact [e-mail].