Overview
USD 119,700.00 - 222,300.00 per year
Full Time
Skills
Jersey
Data Engineering
Data Extraction
Quality Assurance
Clinical Trials
SAFE
Regulatory Compliance
Legal
Data Security
Privacy
Collaboration
Innovation
Video
Data Analysis
Mergers and Acquisitions
MSC
Computer Science
Biostatistics
Science
Testing
Documentation
Release Management
Agile
Artificial Intelligence
Communication
Fluency
English
Bridging
Analytical Skill
PyTorch
JAX
TensorFlow
Bioinformatics
Data Processing
High Performance Computing
Distributed Computing
Database
Life Sciences
Network
Recruiting
Training
Promotions
Accessibility
Apache Hadoop
Applied Mathematics
Big Data
Data Governance
Data Management
Data Quality
Data Science
Data Visualization
Deep Learning
Machine Learning (ML)
Algorithms
Master Data Management
Proteomics
Python
R
Statistical Models
Job Details
Job Description Summary
Onsite
#LI-Onsite
East Hanover, New Jersey
Cambridge, MA
About the role:
This position is part of a newly established AI & Data Engineering team within the Advanced Quantitative Sciences function at Novartis. Our mission is to leverage automation and artificial intelligence to unlock the potential of complex scientific data sources. The purpose of this role is to support this mission through the development and implementation of computational automation methods for tasks such as data extraction, preparation, quality assurance, as well as the AI-assisted analysis of unstructured or high-dimensional data. Working with others in our organization, a successful candidate will operationalize newly developed methods, ensuring their safe and effective application to drive measurable impact in our drug development day-to-day work.
Job Description
Your Key Responsibilities:
Video Link Meet the Data Analytics team
This position will be located at East Hanover, NJ or Cambridge, MA site and will not have the ability to be located remotely.
Role Requirements:
Essential Requirements:
Desired Requirements:
Novartis Compensation and Benefit Summary:
The salary for this position is expected to range between $119,700-222,300 per year for Data Scientist I, and $132,300-245,700 per year for a Data Scientist II; level will commensurate with experience.
The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change 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 to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click here.
Why Novartis:
Our purpose is to reimagine medicine to improve and extend people's lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: ;br>
You'll receive:
You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook.
;br>
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 in order to perform the essential functions of a position, please send an e-mail to call and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: ;br>
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 or call and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Salary Range
$132,300.00 - $245,700.00
Skills Desired
Apache Hadoop, Applied Mathematics, Big Data, Curiosity, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Machine Learning (Ml), Machine Learning Algorithms, Master Data Management, Proteomics, Python (Programming Language), R (Programming Language), Statistical Modeling
Onsite
#LI-Onsite
East Hanover, New Jersey
Cambridge, MA
About the role:
This position is part of a newly established AI & Data Engineering team within the Advanced Quantitative Sciences function at Novartis. Our mission is to leverage automation and artificial intelligence to unlock the potential of complex scientific data sources. The purpose of this role is to support this mission through the development and implementation of computational automation methods for tasks such as data extraction, preparation, quality assurance, as well as the AI-assisted analysis of unstructured or high-dimensional data. Working with others in our organization, a successful candidate will operationalize newly developed methods, ensuring their safe and effective application to drive measurable impact in our drug development day-to-day work.
Job Description
Your Key Responsibilities:
- Develop AI / automation tools and solutions to accelerate work with documents and data from clinical trials. Deliver technical excellence by designing and implementing solutions from concept to deployment.
- Build and maintain collaborative working relationships with partners in the Advanced Quantitative Sciences function and beyond to foster a culture where new technology can be leveraged in a safe, responsible and transparent manner.
- Understand risk, quality, and compliance in a drug development setting, ensuring compliance with legal and regulatory requirements as well as data security and privacy best practices.
- Remain current with industry trends and advancements, helping to strengthen the connection between Novartis and the external AI community.
- Foster a culture of continuous learning, constructive collaboration, and innovation within the team, collaborating on tasks and projects to ensure deadlines are met.
Video Link Meet the Data Analytics team
This position will be located at East Hanover, NJ or Cambridge, MA site and will not have the ability to be located remotely.
Role Requirements:
Essential Requirements:
- MSc or PhD in Computer Science/Engineering, Data Sciences, Artificial Intelligence / Machine learning, Bioinformatics, Biostatistics or any other computational quantitative science with a minimum of 2+ years of developing technical solutions for automation or AI.
- Expert in software / AI engineering practices (including versioning, testing, documentation, release management, deployment of models, agile & related software tools).
- Excellent coding skills (including package development, deployment, advanced programming) in R and Python.
- Experience developing LLM / LMM applications and working with agentic AI.
- Strong interpersonal and communication skills (fluent in English, verbal and written) effectively bridging scientific and business needs
Desired Requirements:
- Specialist data science / development expertise in one or more of the following: Deep learning & analytical frameworks such as pytorch, jax, tensorflow; reinforcement learning, bioinformatics & data science.
- Strong working knowledge of at least one large-scale data processing technology (e.g. High-performance computing, distributed computing), databases and underlying technology.
- Prior exposure to work in life sciences or drug development is highly beneficial.
Novartis Compensation and Benefit Summary:
The salary for this position is expected to range between $119,700-222,300 per year for Data Scientist I, and $132,300-245,700 per year for a Data Scientist II; level will commensurate with experience.
The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change 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 to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click here.
Why Novartis:
Our purpose is to reimagine medicine to improve and extend people's lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: ;br>
You'll receive:
You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook.
;br>
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 in order to perform the essential functions of a position, please send an e-mail to call and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: ;br>
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 or call and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Salary Range
$132,300.00 - $245,700.00
Skills Desired
Apache Hadoop, Applied Mathematics, Big Data, Curiosity, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Machine Learning (Ml), Machine Learning Algorithms, Master Data Management, Proteomics, Python (Programming Language), R (Programming Language), Statistical Modeling
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.