2 days ago
Remote, United StatesSenior
Base Salary
$78k - $156k/yr
Responsibilities
- Guide the architecture, technical roadmap, and strategic evolution of the life sciences generative AI platform.
- Design and implement shared platform services, reusable components, and supported AI solution patterns.
- Integrate agent frameworks and interoperability protocols with enterprise data sources, document repositories, and scientific systems.
- Translate scientific, medical, and operational workflows into scalable and supported AI solutions with cross-functional stakeholders.
- Define evaluation criteria for solution quality, reliability, efficiency, and business value and drive platform adoption.
- Establish engineering standards, controls, governance, and validation frameworks for generative AI solutions.
- Provide mentorship and coaching to junior team members and technical leadership through architecture reviews.
- Communicate complex information to technical and non-technical stakeholders and support quality management policies.
Requirements
- PhD in Statistics, Computational Biology, Computer Science, or a related quantitative field, or a relevant master’s degree plus four years of experience in lieu of a PhD.
- At least three years of experience in statistics, computational biology, applied mathematics, or a related quantitative field.
- At least three years of experience with artificial intelligence and machine learning algorithms.
- Knowledge of artificial neural networks, deep learning, reinforcement learning, and AI/ML applications in NLP, image processing, computer vision, or pattern recognition.
- Experience with large language models for generative AI, transformer architecture, and retrieval augmented generation.
- Strong programming ability in Python and experience with a machine learning framework such as TensorFlow, PyTorch, or scikit-learn.
- Knowledge and experience working with open-source AI models.
- Preferred: at least two years of life sciences experience with biological data and at least two years of molecular diagnostics experience, preferably cancer diagnostics.
- Preferred: healthcare data mining expertise, basic ML-Ops knowledge, and scientific understanding of cancer biology.
- Must be authorized to work in the United States without sponsorship.
Benefits
- Remote position in the United States with a standard work shift.
- Requires approximately 5% travel, potentially including overnight or weekend travel.
- Requires continuous sitting and keyboard or computer use for substantial portions of the workday.
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About Abbott
Abbott is a NYSE‑listed healthcare company that develops diagnostics, medical devices, nutrition products, and branded generic medicines for clinicians and consumers. Founded in 1888 and headquartered in Abbott Park, Illinois, it sells products in more than 160 countries, including the FreeStyle Libre continuous glucose monitoring system. Revenue comes primarily from product sales to hospitals, clinics, and retail channels.