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 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 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 peoples 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 patientlevel data (including various clinical realworld 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 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 handson analysis of integrated data from clinical trials and the real world to generate fitforpurpose 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 metaanalysis 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 decisionmaking 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 :to Diversity & Inclusion:
Novartis is committed to building an outstanding inclusive work environment and diverse teams representative of the patients and communities we serve.
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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
