Full-Time

Head of Applied AI

Confirmed live in the last 24 hours

TetraScience

TetraScience

51-200 employees

Cloud platform for scientific data management

No salary listed

Expert

No H1B Sponsorship

Remote in USA

Remote role - work where you want to work

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Python
Tensorflow
R
Pytorch
Machine Learning
AWS
Natural Language Processing (NLP)
Reinforcement Learning
Requirements
  • 15+ years of hands on experience in building data engineering platform, and AI/ML solutions, with a substantial portion in life sciences
  • Proven ability to define and drive AI strategy within a life sciences organization
  • Proven track record of deploying AI models and Use cases in production, addressing real-world biological and other life science problems
  • Deep understanding of life sciences domains such as: Drug development pipelines, Assay / test method development areas such as HTS, DMPK etc., Regulatory and compliance framework
  • Experience in managing AI initiatives from concept to deployment
  • Proven track-record of success developing product strategy within a start-up environment
  • Strong knowledge of machine learning (ML) and artificial intelligence (AI) methods, including: Deep Learning (DL), Reinforcement Learning (RL), Natural Language Processing (NLP), Computational biology and statistical modeling
  • Proficiency in programming languages and tools such as Python, R, TensorFlow, PyTorch etc.
  • Significant experience with AWS, Services-Architecture and web-scale design patterns
  • Excellent communication skills to convey complex technical concepts to non-technical stakeholders
  • Experience in collaborating with external partners and customers
  • Ability to advocate and evangelize for AI initiatives internally and externally
Responsibilities
  • Own, define, and execute the technical and product vision for Applied AI solutions
  • Support and advise executive leadership regarding technical and commercial feasibility
  • Identify business opportunities and develop AI-driven solutions
  • Understand the commercial impact of AI in life sciences (e.g., improving R&D efficiency, reducing costs, accelerating time-to-market)
  • Provide key inputs into technology evaluation and technology planning activities
  • Provide thought leadership and represent TetraScience at industry and technology conferences
  • Collaborate with the customers and productize solutions
  • Collaborate with cross functional teams to build and evangelize the solutions
  • Provide hands on technical leadership for the SAIL (Scientific AI Leadership) team

TetraScience provides a cloud-based platform called the Scientific Data Cloud, which is designed for managing scientific data in the life sciences sector. This platform helps clients in research and development, quality assurance, and manufacturing to collect, centralize, and harmonize their data, making it ready for artificial intelligence and machine learning applications. TetraScience primarily serves biopharmaceutical companies that deal with large volumes of scientific data. The platform connects various lab instruments, informatics software, and data applications, allowing for efficient data management that significantly reduces task completion time from hours to seconds. Unlike its competitors, TetraScience offers a vendor-neutral, open, cloud-native solution that can work with any lab equipment or software, providing flexibility for users. The goal of TetraScience is to enhance scientific outcomes by streamlining data management processes.

Company Size

51-200

Company Stage

Series B

Total Funding

$117M

Headquarters

Boston, Massachusetts

Founded

2019

Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for AI-ready scientific data solutions in the biopharma industry.
  • Strategic partnerships with Microsoft, Google, and Databricks enhance computational power and AI capabilities.
  • Expansion of AI-native datasets supports next-generation lab data management and scientific use cases.

What critics are saying

  • Increased competition from major tech companies investing in AI and cloud solutions.
  • Reliance on strategic partnerships poses risks if these partnerships dissolve.
  • Complexity and cost of integration with existing systems may deter potential clients.

What makes TetraScience unique

  • 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 for AI/ML applications.

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Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

-1%

2 year growth

3%
BioSpace
Jan 16th, 2025
TetraScience Collaborates with Microsoft To Advance Scientific AI at Scale

TetraScience collaborates with Microsoft to advance Scientific AI at scale.

Hit Consultant
Jan 16th, 2025
Tetrascience & Microsoft Partner To Advance Scientific Ai In Biopharma

What You Should Know: – TetraScience, a provider of scientific data cloud solutions announced a strategic collaboration with Microsoft to accelerate the adoption of artificial intelligence (AI) in the biopharmaceutical industry. – The strategic partnership combines TetraScience’s Scientific Data and AI Cloud with the power and security of Microsoft Azure, creating a robust platform for scientific organizations to extract valuable insights from their complex experimental data.Explosion of Scientific Data ChallengesThe biopharmaceutical industry is facing a critical challenge: the explosion of scientific data. While AI holds immense promise for accelerating drug discovery and development, much of this data remains trapped in proprietary formats and scattered across disparate systems. This hinders the effective training and deployment of AI models, limiting the potential for breakthroughs.Harmonizing Scientific Data and Empowering AI WorkflowsThe TetraScience and Microsoft collaboration addresses this challenge head-on. By providing a comprehensive solution that encompasses massive computational power, advanced AI models, sophisticated scientific data ontologies, and deep scientific expertise, the partnership empowers organizations to overcome data silos and unlock the full potential of AI.TetraScience’s Scientific Data and AI Cloud is purpose-built to replatform and engineer scientific data into powerful data models and domain-specific use cases. This harmonizes data from hundreds of scientific instruments and vendor formats, ensuring that experimental context is preserved for multimodal analytics and AI model training.Microsoft Azure provides the enterprise-grade infrastructure and computational backbone for demanding scientific workloads, including real-time analytics and large-scale AI applications. This ensures that researchers have the resources they need to train and deploy sophisticated AI models.Preliminary Collaboration ResultsThis collaboration is already delivering tangible results

NVIDIA
Nov 13th, 2024
Japan Develops Next-Generation Drug Design, Healthcare Robotics and Digital Health Platforms

At AI Summit Japan, TetraScience, a company that engineers AI-native scientific datasets, announced a collaboration with NVIDIA to industrialize the production of scientific AI use cases to accelerate and improve workflows across the life sciences value chain.

Business Wire
May 20th, 2024
Accelerating The Scientific Ai Revolution: Tetrascience And Databricks Join Forces To Transform Scientific Research, Development, Manufacturing, And Quality Control In Life Sciences

BOSTON SAN FRANCISCO--(BUSINESS WIRE)--TetraScience and Databricks today announced a strategic partnership dedicated to helping life sciences organizations harness Scientific AI to bring more effective and safer therapies to market faster and less expensively. The life sciences industry is racing to unlock data intelligence and harness the value of AI. Companies want to use their massive data sets and ever-cheaper computational resources but are blocked by more than 10 million silos of unstructured and vendor-specific proprietary data, which inhibit AI. This partnership rapidly accelerates the Scientific AI revolution by re-platforming and engineering this data to enable the large-scale production of AI-native scientific data across the entire value chain, supporting a growing suite of next-generation lab data management solutions, scientific use cases, and AI-based scientific outcomes

Business Wire
Apr 16th, 2024
Tetrascience Partners With Google Cloud To Catalyze Scientific Ai Innovation

BOSTON--(BUSINESS WIRE)--TetraScience, the Scientific Data and AI Cloud company, today announced a strategic partnership with Google Cloud at the Bio-IT World Conference Expo to speed up drug development and other scientific discoveries. By bringing the Tetra Scientific Data and AI Cloud together with Google Cloud’s infrastructure and AI technologies, the two companies will help empower the life science industry to harness Scientific AI to generate insights much more quickly. This, in turn, will lead to accelerated and improved research, development, and quality-control processes for advanced therapies. “Scientific AI holds extraordinary potential to accelerate and improve science by delivering new capabilities to all key stakeholders - scientists, data and AI teams, and scientific IT,” said Patrick Grady, CEO and chairman of TetraScience. “Together, TetraScience and Google Cloud provide the sophisticated design and industrialization of AI-native scientific datasets and advanced AI technologies to deliver on this unprecedented opportunity.”. The Tetra Scientific Data and AI Cloud shatters the industry-wide data silo paradigm and uniquely centralizes, designs, and industrializes the production of large-scale and liquid AI-native scientific datasets