AI Scientist

Absci is seeking AI Research Scientists to join its team of experts advancing generative and predictive
modeling at the intersection of machine learning and drug discovery. As an AI Scientist, you will develop
AI models that generate and evaluate antibody therapeutic candidates, toward the ultimate goal of de
novo antibody design. We are looking for exceptional contributors with backgrounds in deep learning,
protein design and engineering, natural language processing, computer vision, and molecular dynamics
to develop innovative approaches to creating and assessing therapeutic antibodies in silico.

The ideal candidate will:

•  Care as much about solving the technical problems related to designing antibody therapeutics as
  they do about translating solutions to the clinic;
• 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.

Why Absci’s AI team?

 
Absci offers AI Scientists a unique opportunity to not only develop novel, cutting edge machine learning
models, but also apply these models in real-time to generate candidate antibody therapeutics. In
particular:

• Absci provides its AI Scientists with access to industry-leading compute resources, enabling
  large-scale experimentation for model training and deployment.
• Absci maintains its own Wet Lab, enabling AI Scientists to validate novel modeling methods via
  both in silico and in vitro experimentation.
• Absci maintains and is growing its own internal pipeline of assets, enabling AI Scientists to see
  their work directly translated into therapeutic impact for patients.

This position can be remote, hybrid, or on-site in New York, NY, or Vancouver, WA.

Key Responsibilities:

• Develop state-of-the-art deep learning models for structure-based antibody design, antibody
  sequence design, antibody-antigen co-folding, antibody-antigen binding prediction, and
  physics-based antibody design and evaluation
• Partner with teammates in AI Research, Platform Engineering, and Computational Biology to 
  identify key challenges and design innovative, AI-driven solutions
• Analyze in silico and in vitro validation results to iteratively improve design and evaluation 
  methodologies
• Deliver and publish high-impact research that advances Absci’s position as a thought leader in 
  the field of AI antibody design 

Qualifications:

• PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology, 
  Computational Chemistry, Biophysics, or a related field
• 3+ years of research experience at the intersection of machine learning and protein design, 
  molecular modeling, or a related field, ideally including industry experience
• Fluency in Python and PyTorch
• Comfortable with design, implementation, and evaluation of state-of-the-art AI algorithms for 
  protein design and protein structure prediction
• Expertise in large-scale model training
• 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

The salary range for this position is $160,000 - $260,000/year. Competitive equity package applies. Pay offered may vary depending on job-related knowledge, skills, and experience. In addition to equity, compensation packages include a wide range of medical, dental, vision benefits, and the ability to participate in our employee stock purchase plan.

Absci offers highly competitive salaries and benefits, including medical, dental, vision insurance, unlimited vacation, parental leave, breakfast and lunch for onsite employees, employee assistance program, voluntary life and disability insurance, annual bonus potential, and 401(k) with a generous company match. Legal authorization to work in the United States is required.