Research Senior Scientist, AI/ML jobs in United States
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SoTalent ยท 3 hours ago

Research Senior Scientist, AI/ML

SoTalent is seeking an innovative and dynamic AI/ML Senior Scientist to join their Large Molecule team, focusing on leveraging artificial intelligence and machine learning in antibody discovery and biologics design. This role involves developing AI/ML methodologies, integrating computational approaches with experimental cycles, and collaborating across teams to enhance therapeutic discovery.

Staffing & Recruiting

Responsibilities

Develop and implement AI/ML methodologies for de novo antibody design, multi-objective optimization of antibodies, antigens, ADCs, and other biologics
Integrate computational approaches with experimental Design-Predict-Make-Confirm cycles to generate high-quality, large-scale biological data
Build predictive models for protein design and developability using NGS, in vitro, in vivo, and other proprietary datasets
Stay current on advances in NLP, ML, and generative AI to create novel tools that enhance therapeutic discovery
Collaborate across teams to optimize computational infrastructure and provide solutions to scientific challenges
Communicate complex scientific ideas clearly to both technical and non-technical stakeholders

Qualification

AI/ML methodologiesPythonML models developmentCloud computingAntibody designAnalytical skillsProblem-solving skillsCreative thinkingCommunication skills

Required

PhD in Biology, Biochemistry, Chemistry, or a related field (MS with 8+ years or BS with 10+ years relevant experience considered)
Proven experience developing ML models for chemical or biological data, including molecular generation and affinity prediction
Experience modeling antibody/antigen sequences, structures, and interactions
Proficiency in Python and cloud computing
Strong analytical, problem-solving, and creative thinking skills; able to work independently and collaboratively
Excellent communication skills for multidisciplinary collaboration

Preferred

Experience with modern ML architectures for antibody design (LLMs, diffusion models, flow-matching, Bayesian optimization, GNNs)
Experience designing de novo binders for specific targets/epitopes
Experience analyzing NGS-derived antibody repertoires
Knowledge of molecular simulation and conformational analysis

Benefits

Medical
Dental
Vision
401(k) matching
Paid time off
Professional development opportunities

Company

SoTalent

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At SoTechTalent, we specialise in connecting forward-thinking tech companies with world-class talent.

Funding

Current Stage
Early Stage
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