Data Scientist III

Job Description:

Responsibilities

•  Hands-on data scientist or machine learning engineer that will be expected to ideate, design, develop, model and deploy advanced solutions
•  Collaborate with stakeholders to define project objectives, formulate data-driven hypotheses and identify KPIs for analysis
•  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 modelling 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
•  Develop and implement predictive models (e.g., regression, clustering, time series forecasting) and generative models (e.g. LLMs) to solve complex business challenges
•  Collaborate with data engineers and IT teams to ensure data availability, quality and reliability for analysis and modeling
•  Create and present complex analytical findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports and presentations
•  Stay up-to-date with the latest methodologies and best practices in statistical analysis, machine learning, and the biopharma industry.

Qualification & Experience

• We welcome a master's or Ph.D. in a relevant fields such as Data Science, Statistics, Computer Science or a related discipline.
• Proven experience (typically 5+ years) in a data science role, preferably within the biopharma or pharmaceutical industry
• Strong background in statistical analysis, machine learning and predictive modelling techniques
• Experience in handling and analyzing large-scale structured and unstructured data sets using SQL, NoSQL or similar technologies
• Demonstrated ability to develop and implement predictive models and machine learning algorithms
• Experience working with healthcare data, clinical trials, or related domains is highly desirable
• Solid understanding of the biopharma industry, including regulatory requirements, clinical trial design, and healthcare data sources