Senior Principal Data Scientist

Biopharma Careers; Dublin; Hybrid; EUR 63,000 - 118,000; Full time

Benefits offered by this job

Flexible and hybrid working

Insurance plans

Retirement plans

Wellbeing resources

14 weeks parental leave

Job summary

Novartis in Dublin, Ireland seeks a Senior Principal Data Scientist in Medical Affairs Advanced Quantitative Sciences to design and implement data science methodologies for patient-level data across clinical development. You will combine biology/medicine/statistics expertise with AI skills to inform drug development decisions in collaboration with internal and external partners.

Responsibilities include planning and executing exploratory analyses, applying ML/AI methods, and building data

Qualifications

• Master’s degree or Ph.D. in data science, biostatistics, or other quantitative field.
• Experience in clinical drug development with extensive exposure to clinical trials.
• Strong programming in R and Python.
• Demonstrated knowledge of data visualization, exploratory analysis, and predictive modelling.

Responsibilities

• Plan, execute, interpret, validate and communicate innovative exploratory analyses and algorithms for internal decision making.
• Provide technical expertise in data science and ML/AI to identify opportunities influencing internal decisions and regulatory discussions.
• Perform hands-on analysis of integrated clinical trial and real-world data to generate fit-for-purpose evidence.
• Translate business questions into analytical problems and build solutions using visualization, dashboards, ML, and statistical modelling.
• Develop data pipelines and apply AI, R, Python, Bash and SQL.

Skills

R & Python

Clinical drug development

Statistical methods

Data visualization

Communication skills

Education

Master’s or Ph.D. in data science/biostatistics

Tools

R

Python

Job description

Location: Dublin, Ireland

This role is based in Dublin, Ireland. 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.

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 modelling


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