Role Summary:

• 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

Role Responsibilities:

• 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.

Qualifications Experience:

• 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.

Preferred Qualifications:

• 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

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