Senior Expert (Rapid Prototyping)

Reposted 2 Days Ago
Be an Early Applicant
Dublin, IRL
In-Office
63K-118K Annually
Senior level
Biotech • Pharmaceutical
The Role
Design and deploy generative AI and agentic systems for drug discovery: build prototypes and production-ready LLM applications, integrate retrieval and tooling, apply software engineering best practices, and collaborate with cross-functional research teams to enhance scientist productivity.
Summary Generated by Built In

Salary Range:

€63,490.00 - €117,910.00

Job Description Summary

Job Title: Senior Expert (Rapid Prototyping)
Location: Dublin, Ireland
#LI-Hybrid
No of positions:2
Relocation Support: This role is based in Dublin, Ireland. Novartis is unable to offer relocation support: please only apply if accessible.
Join us at the forefront of scientific innovation, where cutting-edge artificial intelligence meets life-saving research. As a Senior Expert in Rapid Prototyping, you will play a pivotal role in transforming how drug discovery is accelerated by designing and deploying advanced generative artificial intelligence and agentic systems. Working at the intersection of science and technology, you will rapidly translate emerging artificial intelligence capabilities into impactful, real-world solutions that empower researchers, enhance decision-making, and ultimately help bring transformative therapies to patients faster.

Job Description

Key Responsibilities

  • Design and deploy generative artificial intelligence solutions supporting drug discovery and biomedical research workflows
  • Build rapid prototypes and scalable applications combining foundation models, retrieval systems, and workflow orchestration
  • Develop production-ready large language model applications with robust context handling, tool integration, and monitoring
  • Translate emerging generative artificial intelligence and agentic approaches into practical, reusable solutions
  • Apply engineering best practices including testing, benchmarking, version control, and lifecycle management
  • Collaborate with cross-functional teams to deliver impactful artificial intelligence solutions aligned with research priorities
  • Identify opportunities to enhance scientist productivity using artificial intelligence assistants and workflow automation
  • Contribute to architecture, scalability, security, and reliability of artificial intelligence-powered systems
  • Share best practices, reusable components, and technical guidance across teams working on artificial intelligence applications
  • Evaluate emerging tools, frameworks, and technologies to advance generative artificial intelligence capabilities

Essential Requirements

  • 5+ years of experience building and deploying artificial intelligence or machine learning systems in production
  • 2+ years of hands-on experience designing large language model applications including retrieval augmented generation and tool integration
  • Strong proficiency in Python and experience developing scalable services, application programming interfaces, and reusable libraries
  • Experience delivering end-to-end artificial intelligence solutions including prompt design, evaluation, and monitoring
  • Familiarity with generative artificial intelligence frameworks such as LangChain, LangGraph, or similar ecosystems
  • Experience applying modern software engineering practices including testing, code reviews, version control, and continuous integration
  • Understanding of evaluation metrics for generative artificial intelligence systems including quality, reliability, and cost considerations
  • Awareness of security, governance, and responsible artificial intelligence practices in enterprise environments

Desirable Requirements

  • Experience in drug discovery, computational biology, or biomedical research environments
  • Publications, patents, or open-source contributions in artificial intelligence or computational sciences

Rewards

At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.

The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and a minimum of 14 weeks paid parental leave.

Expected Annual Base Salary Range for role:

  • Dublin: 63,490.00 - 117,910.00 EUR Annual.

The salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Further details will be provided during the application process.

Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.

Read our brochure to learn more about our global total rewards offering: https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf

Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.      

Commitment to Diversity and Inclusion:

Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve.


 

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

  • 5+ years of experience building and deploying artificial intelligence or machine learning systems in production
  • 2+ years of hands-on experience designing large language model applications including retrieval augmented generation and tool integration
  • Strong proficiency in Python and experience developing scalable services, APIs, and reusable libraries
  • Experience delivering end-to-end AI solutions including prompt design, evaluation, and monitoring
  • Familiarity with generative AI frameworks such as LangChain, LangGraph, or similar ecosystems
  • Experience applying modern software engineering practices including testing, code reviews, version control, and continuous integration
  • Understanding of evaluation metrics for generative AI systems including quality, reliability, and cost considerations
  • Awareness of security, governance, and responsible AI practices in enterprise environments
  • Experience with foundation models, retrieval systems, and workflow orchestration for rapid prototyping and scalable applications
  • Experience in drug discovery, computational biology, or biomedical research environments
  • Publications, patents, or open-source contributions in AI or computational sciences
  • R programming experience
  • Structured Query Language (SQL) experience
  • Pandas (Python) experience
  • Deep learning and NLP experience
  • Experience with graph algorithms
  • Data science and data governance knowledge

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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