Director, Data Science- Head DAx Data Science
Director, Data Science- Head DAx Data Science
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1 Vacancy
Job Description
Job Description Summary
The Head of DAx Data Science will create a vision roadmap and drive the execution of a data science strategy aligned with DAx priorities including enabling the discovery of translational biomarkers and disease relevant target candidatesWe are seeking a visionary and strategic leader to serve as the Head of Data Science for Disease Area X (DAx). This role reporting to the Department Head and a member of the Leadership Team will lead a multidisciplinary team of data scientists and computational biologists to drive innovation in drug discovery and translational research. They influence the external environment as a thought leader and are a key contributor to strategic long-term decision-making by Novartis Senior Management.
The ideal candidate will have deep expertise in biomedical data a strong track record of scientific leadership and the ability to translate complex data into actionable insights that accelerate therapeutic and biomarker development
Job Description
Major accountabilities:
- Create a vision roadmap anddrive the execution of a data science strategy aligned with DAx priorities including enabling the discovery of translational biomarkers and disease relevant target candidates.
- Shape mentor and lead a high-performing team of data scientists and computational experts across global sites fostering a collaborative and innovative work environment.
- Drive the development of human-centric data-driven disease in silico models using clinical genetic and multi-omic data.
- Drive innovation and continually develop the teams and own knowledge in the areas of statistics deep learning Machine Learning AI and related topics.
- Partner with discovery clinical and digital teams to integrate data science into all stages of the R&D pipeline. Collaborate with researchers and clinicians to identify data needs and provide actionable recommendations communicate through regular interaction the team
- Ensure robust data governance model validation and reproducibility standards across all projects.
- Represent the organization in external collaborations conferences and consortia to stay at the forefront of biomedical data science.
- Explore and evaluate new data sources to drive Insights and innovation and to identify opportunities for improvement
- As a member of DAx Leadership team provide input into the DAx overall strategy
Minimum Requirements:
- MS or Ph.D. in Computational Biology Bioinformatics Data Science or a related field.
- 10 years of experience in biomedical research with at least 5 years in a Data Science leadership role.
- Proven track record of successfully managing and leading data science teams and/or of applying data science to drug discovery or translational research.
- Experience in applying machine learning algorithms and advanced analytics to biomedical research; Expertise in machine learning statistical modeling and multi-omics integration.
- Ability to work collaboratively with cross-functional teams and stakeholders
- Strong communication skills and ability to influence across scientific and executive audiences
- Good coaching and mentoring skills
Preferred Attributes:
- Experience with real-world evidence biobank data or clinical trial analytics.
- Familiarity with regulatory considerations for data-driven biomarker development.
- Passion for people development and contributing to transformational medicines
Novartis is committed to building an outstanding inclusive work environment and diverse teams representative of the patients and communities we serve.
Skills Desired
Applied Mathematics Artificial Intelligence (AI) Aws (Amazon Web Services) Big Data Building Construction Cloud Computing Computer Science Data Governance Data Literacy Data Management Data Quality Data Science Data Strategy Electrical Transformer Machine Learning (Ml) Master Data Management Professional Services Python (Programming Language) R (Programming Language) Random Forest Algorithm Statistical Analysis Time Series AnalysisRequired Experience:
Director
Employment Type
Full-Time
