Data Science Expert
7 days ago
We are an integrated global hub focused on delivering cutting-edge solutions to revolutionize patient care. Our mission is to harness the power of science, technology, and innovation to develop sustainable and effective treatments for serious diseases.
Our team of experts is dedicated to ideating, designing, developing, and deploying advanced data science and machine learning solutions. We collaborate with stakeholders to define project objectives, formulate data-driven hypotheses, and identify key performance indicators (KPIs) for analysis.
Key Responsibilities:
- Gather, preprocess, and explore large-scale structured and unstructured data from diverse sources, including clinical trials, patient records, and genetic data.
- Apply advanced statistical analysis, machine learning algorithms, and predictive modeling techniques to extract insights and develop models that drive actionable recommendations.
- Conduct exploratory data analysis (EDA) to identify patterns and anomalies in the data and propose solutions to business problems.
Requirements:
- Experience with building and deploying data science and data engineering solutions using established industry methods (MLOps, Git) to pharmaceutical-related datasets.
- Proficiency in programming languages such as Python or R for data manipulation, analysis, and modeling.
- Familiarity with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn for effective communication of findings.
We welcome a Bachelor's, Master's, or Ph.D. degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline. Proven experience in a data science role, preferably within the biopharma or pharmaceutical industry.
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