Software Engineer II/Sr Software Engineer (US)
Axsome Therapeutics Inc- Full Time
- Senior (5 to 8 years)
Candidates should possess an advanced degree in Biological, Data, or Computer Science, along with a minimum of 10 years of AI/ML development experience, or 5+ years developing AI/ML tools for commercial life sciences, healthcare, or regulated environments. A portfolio demonstrating end-to-end ownership of AI/ML products is required, alongside a proven track record of deploying AI models addressing real-world problems. Superior talent in developing at least one of ML-Reinforcement Learning, LLM/NLP, or Protein Design/Diffusion Models is preferred, as is a degree in AI or ML, a deep understanding of hurdles facing pharmaceutical drug development, and the ability to make productized applications for use by more than one group. Excellent communication skills and the ability to advocate and evangelize for AI initiatives internally and externally, combined with experience collaborating with teams on large software projects, are also required.
The Senior Applied AI/ML Engineer will be responsible for designing, developing, training, and validating AI/ML products, supporting and advising executive leadership regarding technical and commercial feasibility, and collaborating with cross-functional teams to build products. They will work with commercial teams to understand the impact of AI in life-sciences, and contribute to building products that help Pharmaceutical companies organize, contextualize, and make their data accessible, ultimately accelerating the drug discovery process for multiple companies.
Cloud platform for scientific data management
TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.