Accountabilities:

- Support the development and execution of data solutions strategies for Digital Transformation initiatives.


- Ensure data integrity, security, and compliance with regulatory requirements.


- Assist in adopting cutting-edge digital tools and platforms, driving continuous innovation.


- Perform data wrangling, transformation, and text mining to create new datasets for high-quality research workflows.


- Design data preparation workflows and define outputs for projects.


- Foster an agile, value-focused culture and contribute to technical projects aimed at improving data-science tools.


- Utilize predictive analytics to forecast future outcomes.


- Collaborate with key stakeholders to align data insights with business initiatives.


- Communicate data-driven insights and technical concepts to non-technical stakeholders and senior leadership.

Essential Skills/Experience:

- Bachelor’s or advanced degree in Computer Science or related field with at least 7 years of experience


- Proficiency in programming languages such as Python, R, and SQL. Experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, or Scikit-learn.


- Proficiency in data visualization development (e.g., Power BI)


- Ability to interpret and communicate technical information in business language


- Experience with data integrations and data flow architectures


- Understanding of regulatory requirements and guidelines related to clinical data and trials (e.g., FDA, EMA).


- Effective verbal and written communication, influencing, and partnering skills


- The duties of this role are generally con