Senior Principal Data Scientist

Novartis; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

Novartis cherche un Senior Principal Data Scientist pour rejoindre son équipe Medical Affairs. Le candidat sera responsable de l'application de méthodologies de science des données aux données patientes au sein du développement clinique, collaborant étroitement avec des partenaires internes et externes. Ce rôle offre un environnement hybride, avec des journées de travail au bureau à Londres.

Qualifications

• Ph.D. requis dans un domaine quantitatif.
• Plus de 3 ans d'expérience en développement de médicaments.
• Compétences en programmation R et Python.

Responsibilities

• Contribuer à l'exécution et à l'interprétation des analyses innovantes.
• Fournir une expertise technique en sciences des données et IA.
• Effectuer des analyses de données intégrées des essais cliniques.

Skills

Machine Learning

Data Science

Statistical Modeling

Data Visualization

R

Python

Big Data

Education

Ph.D. in data science, biostatistics, or other quantitative field

Job description

View more categories View less categories Discipline Maths & IT ,Data Analysis Position Type Permanent Hours Full Time Result Type Jobs

Job Description Summary
-Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its usefull lifecycle. High agility to be able to work across various business domains.High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact.Independently manage budget, ensuring appropriate staffing and coordinating projects within the area. If managing a team: empowers the team and provides guidance and coaching, with initial guidance from more senior leaders supervised. This is usually their first people manager experience .

Job Description

Our Development Team is guided by our purpose: to reimagine medicine to improve and extend people's lives.

To do this, we are optimizing and strengthening our processes and ways of working.

We are investing in new technologies and building specific therapeutic area and platform depth and capabilities - all to bring our medicines to patients even faster.

We are seeking key talent, like you, to join us and help give people with disease and their families a brighter future to look forward to.

Apply today and welcome to where we thrive together!

The Role

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 to enrich drug development decisions in close collaboration with internal and external partners.

This role offers hybrid working, requiring 3 days per week or 12 days per month in our London Office.

Key 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.

Your Experience

• Ph.D. in data science, biostatistics, or other quantitative field (or equivalent).

• More than 3 years 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.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? : https://www.novartis.com/about/strategy/people-and-culture

Commitment to Diversity & Inclusion:

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

Join our Novartis Network:

Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network

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

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