TetraScience

Senior Applied AI/ML Engineer

Boston, Massachusetts, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Life Sciences, Artificial Intelligence, Data ManagementIndustries

Requirements

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.

Responsibilities

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.

Skills

AI/ML development
Model training and validation
AI product design
Data analysis
Cross-functional collaboration
Scientific data management

TetraScience

Cloud platform for scientific data management

About TetraScience

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.

Key Metrics

Boston, MassachusettsHeadquarters
2019Year Founded
$113.8MTotal Funding
SERIES_BCompany Stage
AI & Machine Learning, Biotechnology, HealthcareIndustries
51-200Employees

Benefits

Unlimited PTO
100% company paid health, dental, & vision
Company paid life insurance
401k savings
Company paid disability insurance
Equity program
Flexible work arrangements

Risks

Rapid AI development may outpace TetraScience's integration capabilities, risking obsolescence.
Dependency on partners like Google Cloud and NVIDIA could pose risks if disrupted.
International expansion may expose TetraScience to regulatory and compliance challenges.

Differentiation

TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.
The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.
TetraScience's Scientific Data Cloud centralizes and harmonizes data, preparing it for AI/ML applications.

Upsides

Partnerships with NVIDIA and Google Cloud enhance AI-native scientific datasets and capabilities.
Collaboration with Databricks accelerates the Scientific AI revolution in life sciences.
Bayer AG partnership maximizes scientific data value, driving innovation in biopharma.

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