[Remote] Senior Applied AI/ML Engineer at TetraScience

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Life Sciences, Artificial Intelligence, Data ManagementIndustries

Skills

Key technologies and capabilities for this role

AI/ML developmentModel training and validationAI product designData analysisCross-functional collaborationScientific data management

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a fully remote position.

What benefits are offered?

Benefits include 100% employer-paid benefits for all eligible employees and immediate family members, unlimited paid time off (PTO), 401K, and company-paid Life Insurance, LTD/STD. The company also fosters a culture of continuous improvement with career growth and coaching.

What are the key required skills for this role?

Candidates need an advanced degree in Biological, Data, or Computer Science, 10+ years of AI/ML development experience (or 5+ years in commercial life sciences/healthcare), a portfolio showing end-to-end ownership of AI/ML products, and superior talent in at least one of: ML-Reinforcement Learning, LLM/NLP, or Protein Design/Diffusion Models.

What is the salary for this position?

This information is not specified in the job description.

What makes a strong candidate for this role?

A strong candidate will have a portfolio demonstrating end-to-end ownership of AI/ML products, a proven track record of deploying models for real-world problems, and superior expertise in at least one key area like ML-Reinforcement Learning, LLM/NLP, or Protein Design/Diffusion Models, along with experience in life sciences or regulated environments.

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.

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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