Job Description Summary
This role is all about understanding RWD and clinical data, serving science and innovation, connecting the right skills together to enable scientific insights and contribute to medical evidence generation with the use of Real World Data (RWD) using cutting edge data science and AI tools.
Being part of Biomedical Research, the vision is to empower and inspire Novartis' Research and Development organizations by harnessing inter-connected multimodal and external data in our securely governed platform.
You will be the key expert on the use of RWD for the Biomedical Research community, inspiring innovative use of the data to answer translational research questions using advanced quantitative methodologies.
You will also be a key contributor to the medical affairs data and technology strategy, thus enabling priority enterprise projects.
As a leader within data42, you will contribute to the continuous evolution of the data42 team with enthusiasm, cooperation and a collaborative attitude.
We are looking for an Associate Director-level Real World Data Scientist with a strong technical background and an exploratory mindset to join our data42 data science team.
Your role is to come up with innovative ideas using AI/ML approaches to mine the RWD on the platform and uncover hidden patterns that can lead to new insights about the patient population, biomarkers or drug targets, ultimately leading to new discoveries that can lead to faster development of life-changing medicines.
If you're excited about pushing the boundaries of health insights discovery using RWD and AI, this is the role for you
Join our data42 team
At Novartis, we reimagine medicine by using the wealth of our internal data combined with advanced analytics.
Our data42 platform provides access to Novartis's high-quality, multi-modal preclinical and clinical data as well as external data such as RWD.
It is the perfect environment to develop cutting edge AI/ML models and come up with health insights using the totality of the data.
data42 is a global team of data scientists and data engineers dedicated to uncovering novel insights and driving drug development pipeline decisions by leveraging the data42 platform.
Job Description
This role is about understanding RWD and clinical data, serving science and innovation, connecting the right skills to enable scientific insights and contribute to medical evidence generation with the use of RWD through cutting edge data science and AI tools.
You will be the key expert on the use of RWD for the Biomedical Research community, inspiring innovative use of the data to answer translational research questions using advanced quantitative methodologies.
You will also contribute to the medical affairs data and technology strategy, enabling priority enterprise projects.
As a leader within data42, you will contribute to the continuous evolution of the team with enthusiasm, cooperation and a collaborative attitude.
Major accountabilities but not limited to:
Define, lead and execute innovative methodologies such as using AI models to mine RWD on data42 for exploratory analysis.
Co-create and execute innovative data analytics solutions with key stakeholders across R&D.
Stay abreast of emergent applications, trends and insights, and drive development of advanced analytic capabilities to ensure data42 evolves as a recognized platform that addresses changing data and analytic needs.
Develop strong internal and external partnerships to promote effective collaborations.
Lead by example in promoting a collaborative and entrepreneurial culture and mindset.
Be an agent for change and engage support for innovative ideas, methods, technologies, partnerships, and solutions.
Support data science communities in Biomedical Research to think through research questions that can benefit from the use of RWD, including feasibility analysis and developing machine learning models to mine RWD for insights.
Support project ideation with Medical Affairs stakeholders to execute a data and technology strategy through integrating access to multimodal data (e.g. real-world data, clinical data, genomics, biomarkers, imaging) to support real world evidence generation, and applying innovative methods, models (e.g. in-silico trials), and technology.
Excellent communicator and advocate for data-driven decision-making to align with Novartis' overall strategy and improve patient care outcomes.
Represent data42 externally at conferences.
Ideal experience:
PhD or MD with a quantitative discipline like computer science, physics, statistics or epidemiology with experience across disease areas and proven track record in AI/ML.
5-8 years in quantitative science roles, with good understanding of the entire product value chain within the pharmaceutical industry.
Strong data science background with proficiency with SQL, Python, R, Jupyter Notebooks etc.
Proven track record in providing impact with RWD applying advanced analytics as well as AI/ML.
Experience with AI/ML techniques to uncover scientific insights such as novel biomarkers in omics or imaging data in RWD.
Experience and knowledge in evidence generation, including analyzing clinical and real-world data, and understanding evidence generation study methodologies.
Track record of leading projects or teams at a strategic level involving multiple stakeholder groups or research initiatives.
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Skills Desired
Apache Spark, Artificial Intelligence (AI), Big Data, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Machine Learning (ML), Master Data Management, Python (Programming Language), R (Programming Language), Statistical Analysis
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