Leverage technical AI/ML/data science to guide critical decision-making processes in support of scientific and drug development strategies.
Collaborate with key stakeholders, business partners, and research teams to understand business problem, and develop and introduce new methods and techniques to solve novel problems.
Help the stakeholders in drug development innovate through data-driven decisioning by advancing multidimensional data curation and merging information from diverse data sources to create rich datasets that enable better decision-making
Identify unexplored data opportunities for the business to unlock and maximize the potential of digital data within the organization
Support ongoing technology evaluation process and proof of concept projects
Work closely with global and regional teams to apply AI/ML innovative solutions to business problems and deliver on improving efficiencies in areas of drug development, e.g. in drug discovery, clinical trials, operational efficiencies.
Translate business requirements into tangible solution specifications and high quality, on time deliverables
Effectively use tools to manipulate and create large-scale databases from internal and external sources, to enhance business use cases.
Masters/ Postgraduate with AI/ML/DL related qualification (Statistics, Data Science, Computer Science/Engineering) with relevant business experience.
Minimum 3-5 years experience working in AI/ML
Python or R fluency
Ability to contribute to an AI/ML/data science pipeline including the various steps of data retrieval, cleaning, analysis/modeling, application of AI algorithms through to production
Familiarity with standard supervised and unsupervised machine learning approaches
Knowledge of deep learning for NLP, particularly transformer-based models such as the BERT family
Eagerness and self-starter to leverage and apply the latest research to real problems
Effective verbal and written communication skills in relating to colleagues and associates both inside and outside the organization.
PhD in Statistics, Computer Science/Engineering
Ability to complement the team with new approaches such as network analysis, knowledge graphs, graph neural networks, etc. would highly desired
Experience working in scalable computing would be a valuable supplement (AWS, Spark, Kubernetes, etc.)
Experience in data visualization, user interfaces (Flask, Shiny, etc.), data pipelines and MLOps are a plus
Experience as a technical consultant working between those with and without AI experience
Knowledge of pharmaceutical area and chemistry/biology familiarity