Expert Data Scientist

Job Description Summary

We are recruiting a talented scientist to join our Data Science team in the Discovery Sciences (DSc) department at Novartis Biomedical Research (BR). In this role, you will be at the forefront of translational research, bridging the gap between clinical data and preclinical research.

Job Description

Your responsibilities will include to

• Leverage data from repositories of clinical data to identify new therapeutic targets and generate testable hypotheses for validation in preclinical models.
• Connect multimodal clinical and preclinical data (e.g., genomics, proteomics, imaging, histology) to inform early discovery and generate a deep understanding of disease states, disease progression and patient stratification.
• Contribute to our drug discovery engine by designing, using, and improving data science tools to derive new insights from multimodal/multiomic datasets.
• Collaborate with experimental and computational scientists to generate hypotheses, design experiments, analyze and interpret data.
• Communicate data and analyses to broad, multidisciplinary audiences.

Role Requirements

• You hold a Master’s degree or a PhD in a quantitative field such as computational biology, bioinformatics, data science, mathematics, statistics, or physics. Experience working in life science is highly desirable.
• You can communicate complex data-science concepts in digestible terms to diverse scientific audiences.
• Hands-on expertise in using patient and/or clinical data to generate hypotheses is highly desirable.
• You have experience identifying, curating, and integrating large-scale multimodal and/or real world evidence data.
• You can demonstrate scientific curiosity, initiative, and learning agility.
• You can work as part of an interdisciplinary team.
• You have expertise working in Linux high-performance computing and cloud environments.
• You have expertise in scripting programming languages, Python and/or R, and you can demonstrate best practices in building custom scientific software (version control, testing, documentation).
• Experience developing machine-learning models using biological datasets is a plus.

Skills Desired

Biostatistics, Computer Programming, Data Analysis, Databases, Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis