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Novartis Data Scientist Jobs (NOW HIRING)

Novartis

Clinical Data Engineering Lead

Cambridge, MA · On-site

Novartis Biomedical Research is searching for a visionary Associate Director to lead Clinical Data Engineering within their Oncology Data Science team. In this pivotal role, you'll be responsible for ...

Novartis

Clinical Data Engineering Lead

Cambridge, MA

$176K - $327K/yr

Novartis Biomedical Research (NBR) is searching for a visionary Associate Director to lead Clinical Data Engineering within our Oncology Data Science (OncDS) team. In this pivotal role, you'll be at ...

Novartis

Director, Data Science

East Hanover, NJ · On-site +1

$194K - $312K/yr

The Insights and Decision Science (IDS) team is dedicated to enabling improved decision making at Novartis by leveraging superior data to identify actionable insights that drive enhanced performance.

Publicis Groupe Holdings B.V

Data Scientist

Chicago, IL · On-site

... Novartis, Samsung, Visa and more. Overview The Data Scientist at Starcom will play a hands-on role in creating, testing and scaling analytics solutions within the Databricks environment. Sitting ...

Novartis

Senior Expert I, Data Science

San Diego, CA · On-site

$126K - $234K/yr

The Low Molecular Weight (LMW) team at Novartis Biomedical Research Oncology Data Science is seeking a highly motivated Senior Computational Scientist to join our team. With a focus on induced ...

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Novartis Data Scientist information

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How much do novartis data scientist jobs pay per year?

As of Jun 13, 2026, the average yearly pay for novartis data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are some typical projects or daily tasks for a Data Scientist at Novartis?

As a Data Scientist at Novartis, you may work on projects such as analyzing clinical trial data, developing predictive models for patient outcomes, or optimizing pharmaceutical processes using advanced analytics. Daily tasks often include data cleaning, exploratory analysis, building and validating models, and presenting your insights to multidisciplinary teams. You’ll collaborate closely with biostatisticians, clinicians, and IT specialists to ensure data-driven decisions support scientific research and business objectives. The role encourages continuous learning and presents opportunities to make a tangible impact on new drug development and patient care.

What is a Novartis Data Scientist job?

A Novartis Data Scientist leverages data analytics, machine learning, and statistical modeling to drive insights that support drug development, clinical trials, and business decisions. They work with large datasets, collaborate with cross-functional teams, and develop algorithms to optimize processes in healthcare and pharmaceuticals. Their role involves cleaning and analyzing data, building predictive models, and communicating findings to stakeholders to improve patient outcomes and operational efficiency.

What are the key skills and qualifications needed to thrive in the Novartis Data Scientist position, and why are they important?

To thrive as a Novartis Data Scientist, you need a solid background in data analysis, statistical modeling, and machine learning, typically coupled with a degree in a quantitative field such as computer science, statistics, or bioinformatics. Familiarity with programming languages like Python or R, experience with data visualization platforms, and knowledge of pharmaceutical industry standards and tools (e.g., SAS, SQL, or cloud computing environments) are strongly preferred. Excellent communication, problem-solving, and collaboration skills help you work effectively with cross-functional teams and convey complex findings to non-technical stakeholders. These competencies are crucial for leveraging data to drive scientific innovation and support business decisions in a regulated and fast-evolving healthcare environment.

More about Novartis Data Scientist jobs
What cities are hiring for Novartis Data Scientist jobs? Cities with the most Novartis Data Scientist job openings:
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Novartis Data Scientist jobs near you
Infographic showing various Novartis Data Scientist job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Principal Clinical Data Scientist

Novartis

East Hanover, NJ • Hybrid

Full-time

Medical, Life, Retirement, PTO

Posted 17 days ago

Novartis rating

7.4

Company rating: 7.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

52nd of 71 rated pharmaceutical

Job description

Job Description Summary

#LI-Hybrid
Hybrid Working: This role requires a hybrid working model based in East Hanover, New Jersey, with an expectation of 12 days per month onsite.
Novartis cannot sponsor visas for this location.
Location: East Hanover, United States
Relocation Support: This role is based in East Hanover, United States. Novartis is unable to offer relocation support: please only apply if accessible.
Imagine shaping the data that brings life-changing medicines to patients faster. As a Principal Clinical Data Scientist at Novartis, you will play a critical role in ensuring the integrity, quality, and timeliness of clinical trial data across entire programs or assigned trials. You will lead end-to-end data management activities, overseeing study delivery, driving key performance indicators, and ensuring inspection-ready data that supports timely submissions to health authorities. By introducing innovative, data-driven solutions, you will enable efficient and high-quality drug development. Working at the heart of cross-functional clinical trial teams, you will collaborate closely with data quality experts, clinical teams, and external partners, fostering a high-performing, well-organized team environment. Your work will directly influence clinical decision-making and ultimately help improve outcomes for patients worldwide.


Job Description

Key Responsibilities

  • Lead end-to-end data management for multiple clinical trials or across programs from Phase I to IV.

  • Drive study and/or program-level data strategies aligned with therapeutic area and organizational objectives.

  • Coordinate internal and external data scientists to ensure high-quality, timely study delivery.

  • Provide expert input to protocol design, ensuring data quality, feasibility, and efficient data collection.

  • Identify and resolve data-related risks impacting database design, analysis, or reporting outcomes.

  • Collaborate cross-functionally to communicate study progress, timelines, and key data management insights.

  • Oversee design and standardization of electronic case report forms and data structures.

  • Ensure audit readiness, quality control, and reliability of clinical databases and deliverables.

  • Apply advanced tools and industry standards to enable robust reporting and data visualization.

  • Contribute to process improvements and act as a data management expert in complex problem-solving.

Essential Requirements

  • Bachelor's degree in life sciences, computer science, pharmacy, nursing, or a related field.

  • Proven experience managing clinical trial data across multiple studies and delivering to deadlines. Ideally, a minimum of 7+ years' experience in clinical data management.

  • Strong knowledge of clinical trial methodology, good clinical practice, and medical terminology.

  • Advanced ability to analyze and interpret data using programming or graphical user interface tools.

  • Demonstrated leadership and collaboration skills in cross-functional, global team environments.

  • Ability to identify risks, solve complex problems, and implement effective data management solutions.

  • Excellent communication skills, with ability to influence stakeholders across functions and organizations.

  • Experience mentoring colleagues and sharing knowledge to support team and project success.

Novartis Compensation and Benefit Summary:

The salary for this position is expected to range between 119,700.00 - 222,300.00 USD per year.

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 clickhere.


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

$119,700.00 - $222,300.00


Skills Desired

Clinical Data Management, Data Architecture, Data Governance, Data Integration, Data Management, Data Profiling, Data Quality, Data Science, Data Strategy, Master Data, Waterfall Model

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