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Senior Expert I / Senior Expert II** Data Science

Novartis
Posted 2 days ago, valid for 18 days
Location

Cambridge, MA, US

Salary

$126,000 - $257,400 per year

Contract type

Full Time

Paid Time Off

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Sonic Summary

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  • Novartis is seeking a Senior Expert I or Senior Expert II in Data Science to utilize AI and machine learning for drug discovery and development in Cambridge, Massachusetts.
  • Candidates must possess a doctorate in a relevant field and have experience with large scientific datasets and programming in Python.
  • The role involves developing AI solutions, building data pipelines, and creating predictive models to support informed decision-making.
  • The salary range for Senior Expert I is $126,000 to $234,000, while for Senior Expert II it is $138,600 to $257,400 annually.
  • Strong collaboration and communication skills are essential, along with a commitment to diversity and inclusion in the workplace.

Job Description Summary

What if your data science expertise could help shape safer medicines for millions of patients worldwide? As a Senior Expert I or Senior Expert II Data Science, you will apply advanced artificial intelligence, machine learning, and computational modelling to tackle complex scientific challenges and influence critical decisions across drug discovery and early development. Working within a highly collaborative, multidisciplinary environment, you will transform diverse biological and scientific data into meaningful insights that help identify risks earlier, accelerate innovation, and support the development of life-changing medicines.


 

Job Description

#LI-Hybrid 

Location: Cambridge, Massachusetts, United States 

Relocation Support: This role is based in Cambridge, Massachusetts, United States. Novartis is unable to offer relocation support: please only apply if accessible. 

  

Key Responsibilities 

  • Develop innovative artificial intelligence and machine learning solutions to support critical scientific decision-making. 

  • Build scalable data pipelines that enable efficient analysis, model development, and insight generation. 

  • Apply advanced analytical methods to solve complex research and business challenges. 

  • Integrate diverse datasets to uncover meaningful patterns and actionable opportunities. 

  • Create predictive models that help identify risks and support informed decision-making. 

  • Partner with cross-functional experts to advance project goals and drive innovation. 

  • Ensure high standards of model quality, validation, reproducibility, and performance. 

  • Communicate complex findings clearly to both technical and non-technical audiences. 

Essential Requirements 

  • Doctorate degree in Data Science, Machine Learning, Statistics, Bioinformatics, Computational Biology, or a related field. 

  • Experience working with large and complex scientific, healthcare, or research datasets. 

  • Strong programming skills using Python or a comparable programming language. 

  • Experience building and deploying end-to-end data science and machine learning solutions. 

  • Strong understanding of statistics, predictive modelling, validation techniques, and performance evaluation. 

  • Experience working with databases and modern data processing technologies. 

  • Excellent collaboration, problem-solving, and communication skills within multidisciplinary environments. 

Desirable Requirements 

  • Experience in drug discovery, toxicology, predictive safety, or pharmacology. 

  • Experience with generative artificial intelligence, explainable artificial intelligence, graph machine learning or agentic workflows 

 

**Appointment level Senior Expert I / Senior Expert II will be determined based on the successful candidate's experience and qualifications. 

Commitment to Diversity & Inclusion 

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

Equal Opportunity Employment 

Novartis provides equal employment opportunities to all qualified individuals. Employment decisions are made without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, or any other protected characteristic in accordance with applicable laws. 

Compensation & Benefits 

Senior Expert I Data Science: $126,000.00 - 180,000.00 - 234,000.00 USD Annual per year;  

Senior Expert II Data Science: $138,600.00 - 198,000.00 - 257,400.00 USD Annual per year.  

Final compensation will be determined based on relevant skills, experience, qualifications, geographic location, and internal equity. 

In addition to base compensation, this position is eligible for a performance-based cash incentive and may be eligible for annual equity awards. US-based eligible employees receive health, life and disability benefits, a 401(k) plan with company contribution and match, wellbeing and financial benefits, and generous paid time off including vacation, personal days, holidays and other leave benefits.


 

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 us.reasonableaccommodations@novartis.com 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

$126,000.00 - $234,000.00


 

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, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis



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