Senior/Staff AI Scientist, Target Discovery

Job not on LinkedIn

🔥 2 minutes ago

🗽 New York, Washington – Remote

🗽 New York – Remote ☕ Washington – Remote

💵 $160k - $260k / year

⏰ Full Time

🟠 Senior

🧠 AI Research Scientist

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Absci

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2011

🧬 Biotechnology

🤖 Artificial Intelligence

💊 Pharmaceuticals

Biotechnology • Artificial Intelligence • Pharmaceuticals

Absci is a biotechnology company that uses generative artificial intelligence together with wet-lab validation to design de novo biologics, primarily antibodies. Its integrated AI Drug Creation Platform performs data generation, model training, de novo design, multi-parametric lead optimization, and AI-enabled target discovery (using reverse immunology) to uncover novel antibody/target pairs and accelerate IND-enabling studies. Absci advances internal and partnered therapeutic programs—such as ABS-201, a designed antibody targeting prolactin receptors for androgenetic alopecia—and emphasizes rapid iterative cycles between AI and lab work to shorten biologics discovery timelines.

📋 Description

• Develop, adapt, and deploy deep learning models predicting intra- and intercellular signaling effects of potential therapeutic interventions • Design experiments generating data to train and validate systems biology models • Collaborate with Disease Biologists, Structural Biologists, Computational Biologists, and Wet Lab scientists to define and address indication-specific problem spaces • Develop in silico and in vitro validation approaches to iteratively improve design and evaluation methodologies • Communicate and present experimental results to diverse audiences, driving informed decision-making and program progression • Deliver and publish high-impact research advancing Absci’s position in AI-guided antibody therapeutic discovery • Coach and mentor other Scientists and Engineers • Learn new technical skills to improve scientific contributions • Develop and deploy protein design models for antibody drug design • Apply AI drug discovery expertise across deep learning, protein design and engineering, drug discovery, natural language processing, computer vision, and molecular dynamics • Identify novel therapeutic targets and generate candidate antibody therapeutics in silico

🎯 Requirements

• PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology, Computational Chemistry, Biophysics, or a related field • 3+ years of post-graduate experience • Strong background in several of: 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

🏖️ Benefits

• Offers equity • Offers bonus • Access to industry-leading compute resources • Own Wet Lab for rapid design > build > test > learn cycles • Opportunity to see work translated into therapeutic impact for patients • Remote work with option to work onsite at the New York City office or Vancouver, WA headquarters if within commuting distance