Head of Applied AI
United States - Remote
TetraScience
The Tetra Scientific Data and AI Cloud is the only vendor-neutral, open, cloud-native platform purpose-built for science. Get next-generation lab data automation, scientific data management, and foundational building blocks of Scientific AI....Who We Are
TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.
TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom:
In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.
It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.
What You Will Do
- 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
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
Benefits
- A culture of continuous improvement where you can grow your career and get coaching
- 100% employer-paid benefits for all eligible employees and immediate family members
- Unlimited paid time off (PTO)
- 401K
- Remote role - work where you want to work
- Company paid Life Insurance, LTD/STD
We are not currently providing visa sponsorship for this position
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AI strategy Architecture AWS Biology Data management Deep Learning Engineering Machine Learning ML infrastructure NLP Pipelines Python PyTorch R R&D Reinforcement Learning Statistical modeling Statistics TensorFlow
Perks/benefits: Career development Conferences Startup environment Team events Unlimited paid time off
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