AI Scientist Internship

About the role 

Absci is seeking AI Research Interns to join its team of experts advancing generative and predictive modeling at the intersection of machine learning and drug discovery. As an AI Research Intern, you will develop AI models that generate and evaluate antibody therapeutic candidates. 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. 

Absci’s computational teams (including its AI Scientists) develop and validate software platforms for antibody design and in silico assessment, while its Wet Lab teams experimentally validate its AI platforms, and its Drug Creation teams translate experimentally-validated AI designs into clinically-viable therapeutics. 

The ideal AI Research Intern candidate will:

• 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;
• Invest in ensuring their work is accessible and interpretable to scientists with other domain expertise
• Care as much about solving the technical problems related to designing antibody therapeutics as they do about translating solutions to the clinic
• Be available to work full-time for a 12 week duration

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 City or Vancouver, WA. 

Key Responsibilities

• Support Absci’s AI Research team in developing 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
• 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

• Pursuing a degree in Machine Learning, Computer Science, Computational Biology, Computational Chemistry, Biophysics, or a related field
• Research experience at the intersection of machine learning and protein design, molecular modeling, or a related field
• 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
• Demonstrated ability to work collaboratively in an ambitious, fast-paced, interdisciplinary environment
• Demonstrated experience presenting complex technical work to diverse audiences

Absci’s AI team does not accept and is not responsible for fees related to unsolicited agency resumes.

Compensation and Benefits

The monthly salary range for this full-time position is $9,000 to $11,000. The range provided is based on what we believe is a reasonable estimate for the base salary range for this job at the time of posting. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.