Senior Expert (AI Engineering)

Posted Yesterday
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Cambridge, MA, USA
In-Office
139K-257K Annually
Senior level
Biotech • Pharmaceutical
The Role
Lead design, training, validation, and production deployment of advanced ML models (deep learning and graph-based) for drug discovery. Build scalable inference services and automated MLOps pipelines, optimize performance and cost, implement monitoring and drift detection, benchmark models against scientific objectives, collaborate with scientists, and mentor engineering teams to ensure reproducible, production-ready AI solutions.
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Job Description Summary

Job Title: Senior Expert (AI Engineering)
#LI-Hybrid
Location: Cambridge, USA
Relocation Support: This role is based in Cambridge, USA. Novartis is unable to offer relocation support: please only apply if accessible.
Imagine shaping how breakthrough medicines are discovered by bringing cutting-edge AI from concept to real-world application. As a Senior Expert in AI Engineering, you will sit at the critical intersection of innovation and delivery—transforming advanced machine learning models into scalable, reliable solutions that accelerate drug discovery. Collaborating with leading scientists and AI experts, you will drive the translation of pioneering research into impactful tools, ensuring models are reproducible, efficient, and ready to solve complex biomedical challenges. This is an opportunity to directly influence how modern AI reshapes scientific discovery and improves patient outcomes.


 

Job Description

Key Responsibilities

  • Design and train advanced machine learning models for drug discovery, including deep learning and graph-based architectures
  • Own end-to-end model lifecycle from problem definition to production deployment and continuous improvement
  • Conduct rigorous benchmarking, validation, and performance evaluation against scientific and business objectives
  • Deploy scalable, reliable model inference services meeting latency, throughput, and cost requirements
  • Build automated training, retraining, and monitoring pipelines including model drift detection mechanisms
  • Optimize models and pipelines for performance, reliability, and scalability across production environments
  • Establish and promote engineering best practices for reproducibility, testing, and deployment standards
  • Collaborate with cross-functional teams to translate research innovations into production-ready AI solutions
  • Partner with scientific experts to validate models against biological and chemical benchmarks
  • Mentor teams and contribute to raising engineering excellence across the AI for Research organization

Essential Requirements

  • Minimum four years of experience building, training, and deploying machine learning models with measurable real-world impact
  • Deep proficiency in Python and frameworks such as PyTorch or JAX; expertise in model design and optimization
  • Proven experience fine-tuning and deploying large pre-trained and foundation models including language and scientific models
  • Strong understanding of model evaluation including benchmarking, cross-validation, and performance across data distributions
  • Experience with distributed training and large-scale computing environments for high-performance model training
  • Hands-on expertise optimizing models and pipelines for latency, throughput, cost, and production performance
  • Experience with MLOps practices including experiment tracking, model versioning, reproducibility, and cloud deployment
  • Strong problem-solving, collaboration, and communication skills with ability to drive engineering excellence in complex environments

Novartis Compensation and Benefit Summary

The salary for this position is expected to range between 1,38,600.00 - 2,57,400.00 USD Annual.

The final salary offered is determined based on factors such as relevant skills and experience and will be reviewed periodically upon joining Novartis. Novartis may update the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility for annual equity awards.

US-based eligible associates receive a comprehensive benefits package that includes health, life, and disability coverage, a 401(k) plan with company contribution and matching, and a range of additional benefits. Associates are also eligible for a generous time-off package, including vacation, personal days, holidays, and other leave options. To learn more about the culture, rewards and benefits we offer our people click here.


 

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. 


 

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


 

Salary Range

$138,600.00 - $257,400.00


 

Skills Desired

Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model (Inactive), Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai (Inactive), Pandas (Python) (Inactive), Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query Language (SQL), Time Series Analysis

Skills Required

  • Minimum four years of experience building, training, and deploying machine learning models with measurable real-world impact
  • Deep proficiency in Python
  • Experience with frameworks such as PyTorch or JAX and expertise in model design and optimization
  • Proven experience fine-tuning and deploying large pre-trained and foundation models including language and scientific models
  • Strong understanding of model evaluation including benchmarking, cross-validation, and performance across data distributions
  • Experience with distributed training and large-scale computing environments for high-performance model training
  • Hands-on expertise optimizing models and pipelines for latency, throughput, cost, and production performance
  • Experience with MLOps practices including experiment tracking, model versioning, reproducibility, and cloud deployment
  • Strong problem-solving, collaboration, and communication skills with ability to drive engineering excellence
  • Experience or familiarity with deep learning, graph algorithms, and biological/chemical benchmarking (skills desired)
  • Familiarity with R programming, SQL, and data tools such as Pandas (listed under skills desired)
  • Knowledge of biostatistics, data governance, and data quality practices (listed under skills desired)

Novartis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Novartis and has not been reviewed or approved by Novartis.

  • Healthcare Strength Pay and benefits are described as a strong overall package, supported by medical, dental, and vision insurance alongside FSAs/HSAs and disability and life coverage. Mental-health support is reinforced through an employee assistance program with psychological support and a network of mental health first aiders.
  • Retirement Support Retirement support is positioned as a standout element, with an automatic company contribution plus dollar-for-dollar matching in the 401(k). Additional retirement funding is described through an age-based defined contribution program and access to an employee share purchase plan discount.
  • Parental & Family Support Family-related benefits are framed as robust, including a global minimum of paid parental leave for new parents following birth or adoption. Added supports include domestic partner coverage, dependent-care resources, and benefits such as adoption assistance and child/elder care options.

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The Company
HQ: Basel
110,000 Employees
Year Founded: 1996

What We Do

Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.

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