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VantAI · 3 months ago

AI Scientist

Greater Boston

Full-time

Onsite

Mid, Senior Level

$180K/yr - $200K/yr

4+ years exp

VantAI is building a computational pipeline combining state-of-the-art physics-based modeling and machine learning to revolutionize drug discovery and development. They are seeking an experienced AI Scientist to join their machine learning team and work on unsolved problems in representation learning of proteins, small molecules, biological networks, and genomics.

Alternative MedicineArtificial Intelligence (AI)BiotechnologyClinical TrialsLife ScienceMachine Learning

H1B Sponsor Likely

Responsibilities

Scientifically direct the design and training of large-scale, state-of-the art Deep Learning systems

Develop novel architecture and training paradigms to lead the industry in unsolved scientific problems

Collaborate with content experts from other domains (e.g., chemistry, physics, biology) to enable innovative feature-engineering and novel cross-disciplinary approaches

Actively contribute to top-tier ML conferences and journals and attend core ML conferences to stay connected with the community and current trends

Qualification

Deep LearningMachine LearningPyTorchPythonLinux/UNIXCheminformaticsBioinformaticsGenomicsMLOpsCommunication SkillsProject Management

Required

MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry or other related subject (will also consider BS degrees in these areas for candidates highly qualified across other requirements or with significant work experience)

Track record of contributing to novel methods for state-of-the-art Deep Learning (in industry or through publications) including large-scale Transformers, Graph Neural Nets, ConvNets, etc

2+ years of experience on machine learning teams, ideally at a start-up

4+ years of ML research experience in industry or academia, with strong familiarity with PyTorch

Experience with Python is required

Relevant experience working in a Linux/UNIX environment with basic data engineering and scripting abilities

Ability to understand business problems and how to build models that can quickly drive value, while prioritizing your research efforts accordingly

Clearly communicate modeling setup and results at various levels of abstraction

Preferred

Domain knowledge and experience in Cheminformatics, Bioinformatics, Genomics, Computational Biology, Biophysics or Computational Chemistry

Competitive programming or scientific experience, including Kaggle, PUTNAM, CTFs, iGEM, Biology/Chemistry Olympiad

Strong working knowledge of containerized production (Docker, Kubernetes), DevOps, MLOps and CI/CD principles

Programming skills in Rust, C, C++ is a plus

Experience with other state-of-the-art frameworks such as Jax, TensorFlow, MXNet or Sklearn

Experience working with large datasets in cloud environment with distributed computing tools (e.g., Spark, Airflow, Dask)

Machine learning or software engineering project management experience

Company

VantAI

VantAI pairs bleeding-edge machine learning techniques with deep systems biology expertise to build computational models that uncover hidden relationships between molecules, targets, and diseases.

Founded in 2019

New York, New York, USA

11-50 employees

https://proximabio.com

H1B Sponsorship

VantAI has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2025 (1)

2020 (1)