Senior Data Scientist – Biostats Engineering

Location – Remote
Salary – Competitive

The Client:
We are collaborating with a design-led data, software & cloud business that specialises in AI & advanced analytics. They design, build, and run data and AI-driven solutions, products, and experiences on Azure, empowering their business customers to take on challenges and opportunities, delivering change and scale with less friction and more certainty.

The Candidate:
You will be an experienced Data Scientist, who is expected to bring extensive knowledge in best practices on R package development, model development and deployment on Databricks, collaboration with version control systems, and familiarity with other topics such as data architecture and cloud infrastructure.

The Role:
Working for one of our global biopharma customers, developing professional quality R packages, and providing consultancy on Biostats model development. Duties include, but not limited to, reviewing and optimising code, integrating existing modelling code into packages, designing and implementing end to end modelling and deployment processes on Databricks. A dedicated focus on delivering high-impact outcomes that delight our customers is key.

Accountabilities:

• Develop professional quality R packages
• Provide consultancy on Biostats model development and deployment best practices
• Review and optimise code, integrate existing modelling code into packages
• Design and implement end to end modelling and deployment process on Databricks
• Support and collaborate with adjacent teams (e.g. products, IT) to integrate the modelling solution
• Continually innovate with the team and the customer on using modern tooling to improve model development and deployment

Skills & Experience:

A successful candidate will have demonstrated these experiences:
• A background or work experience in biostatistics or a similar discipline
• Strong R programming, and R package development
• Statistical model deployment, and end-to-end MLOps is nice to have
• Having worked extensively on cloud infrastructure, preferably Databricks and Azure
• Shiny development is nice to have
• Can work with customer stakeholders to understand business processes and workflows, and can design solutions to optimize processes via streamlining and automation
• DevOps experience and familiarity with software release process
• Familiar with agile delivery methods.

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Job Reference: RL7733