Senior Principal Data Scientist

Posted 11 Days Ago
Be an Early Applicant
West Hampstead, London, England, GBR
Hybrid
57K-106K Annually
Senior level
Biotech • Pharmaceutical
The Role
Leads data science methodology and hands-on analysis of clinical, real-world, and biomarker data to support drug development decisions. Builds predictive machine learning, deep learning, statistical models, dashboards, and data pipelines using R, Python, SQL, Bash, and Pandas. Translates business questions into analytical solutions, develops innovative algorithms, validates findings, and communicates insights to internal and external stakeholders, including regulatory and scientific audiences.
Summary Generated by Built In

Salary Range:

£57,050.00 - £105,950.00

Job Description Summary

#LI-Hybrid
Location: London, UK
This role is based in London, UK. Novartis is unable to offer relocation support for this role. Please only apply if this location is accessible for you.
As a Senior Principal Data Scientist in the Medical Affairs Advanced Quantitative Sciences group, you will be responsible for the discussion and implementation of data science methodologies applied to patient-level data (including various clinical, real-world, and biomarker data) across clinical development. You will combine your data science and AI skills and your scientific knowledge in biology or medicine or statistics to enrich drug development decisions in close collaboration with internal and external partners.

Job Description

Major accountabilities:

  • You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making
  • You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy.
  • You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs.
  • Translate business questions into analytical problems and build solutions using visualization techniques, dashboards, machine and deep learning, and statistical modelling.
  • Search and develop new algorithms, methods, statistical models and business models, providing insight into structured and unstructured data.
  • Apply R-based analytical and statistical techniques to solve business problems
  • Applying data cleaning, wrangling, and analysis techniques using tools like AI, R, Python and Pandas.
  • Developing and managing data pipelines using tools like AI, R, Python, Bash, and SQL.

Essential Requirements: 

  • Master’s degree or Ph.D. in data science, biostatistics, or other quantitative field (or equivalent).
  • Experience in clinical drug development with extensive exposure to clinical trials.
  • Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials.
  • Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling.
  • Excellent interpersonal and communication skills (verbal and writing)
  • Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making situations.

Benefits & Rewards 

 

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

  

Expected Annual Base Salary Range for role: £57,050.00 - £105,950.00

  

The base 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. 

  

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 minimum 14 weeks paid parental leave. 

  

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 / EEO paragraph 

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

Skills Required

  • Master’s degree or Ph.D. in data science, biostatistics, or another quantitative field, or equivalent
  • Experience in clinical drug development with extensive exposure to clinical trials
  • Strong knowledge of time-to-event analysis, machine learning, meta-analysis, mixed-effects modeling, longitudinal modeling, Bayesian methods, variable selection, and clinical trial design
  • Strong programming skills in R and Python
  • Experience with data visualization, exploratory analysis, and predictive modeling
  • Excellent verbal and written interpersonal communication skills
  • Ability to develop and deliver clear presentations for internal and external decision-making meetings

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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