Senior Expert Data Science

4 weeks ago

Dublin, Ireland Healthcare Businesswomen’s Association Full time

Job Description Summary

Data42, a division of Biomedical Research, aims to empower Novartis’ research and development community by harnessing interconnected multimodal internal and external data in a securely governed platform. Our goal is to accelerate research across the continuum of research, clinical development and medical to unlock insights that support discovery and development of new medicines for patients.

Data42 Data Science and Innovation team is seeking a Senior Data Science Expert who will collaborate with scientists across disease and functional areas to advance research and drug development, with a focus on immunology programs. You will help build a comprehensive platform for our users and stakeholders while ensuring proper governance.

If you are passionate about making a significant impact in medical research and eager to join a dynamic and collaborative team, we encourage you to apply. There are numerous diseases with urgent medical needs, and our goal is to address these challenges and create a lasting impact on global healthcare.

Responsibilities

- Leading projects and effectively communicating with stakeholders and collaborators.

- Actively participating in pooling and analyzing multimodal clinical trial data to address important scientific questions, such as target discovery, compound prioritization, disease progression and indication expansion, in close collaboration with teams from across Novartis.

- Develop and apply advanced ML and AI algorithms tailored to biomedical data, including deep learning models, to derive actionable insights from complex multimodal datasets.

- Acting as a connector between data resources and project teams, enhancing the generation of hypotheses by sharing insights derived from or applied to data from different drug development pipeline phases.

Role Requirements

- PhD in data science, machine learning, bioinformatics, computational biology, or a related field, with substantial postdoctoral (or equivalent) experience in academia or the pharmaceutical industry.

- Proficiency in Python, PyTorch, high performance computing, and/or R for statistical programming.

- Proven experience in professional software development practices: code standards, code review, version control, continuous integration, testing.

- Understanding of biology or medicine, demonstrated experience in working with health-related data.

- Proficient in using biostatistics methods for inference and hypothesis testing. Experience with applying state-of-the-art Deep Learning methods.

- Demonstrated ability to work in a cross disciplinary team and present complex data science concepts in digestible terms to diverse scientific audiences.

- Demonstrated strong scientific curiosity, initiative, and learning agility.

Commitment to Diversity & Inclusion

We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

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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