Senior Data Scientist (Biostats Engineering) - Remote

Senior Data Scientist (Biostats Engineering) - Remote (RL7733)

Job Title - Senior Data Scientist (Biostats Engineering)
Location - Remote
Ref - RL7733
Salary - Competitive

The Client

We are partnering with a design-led data, software, and cloud company specializing in AI and advanced analytics. They design, build, and operate data- and AI-driven solutions, products, and experiences on Azure, enabling their business customers to tackle challenges and seize opportunities with greater efficiency and certainty.

The Candidate

We are looking for an experienced Data Scientist with extensive expertise in:

• Best practices for R package development
• Model development and deployment on Databricks
• Collaboration using version control systems
• Additional knowledge of data architecture and cloud infrastructure is highly desirable

The Role

You will work with one of our global biopharma clients, developing high-quality R packages and providing consultancy on Biostatistics model development. Key responsibilities include:

• Reviewing and optimizing code
• Integrating existing modelling code into packages
• Designing and implementing end-to-end modelling and deployment processes on Databricks
• Focusing on delivering high-impact solutions that exceed customer expectations

Key Responsibilities

• Develop high-quality R packages
• Provide consultancy on Biostatistics model development and deployment best practices
• Review and optimize code, integrating existing modelling code into packages
• Design and implement end-to-end modelling and deployment processes on Databricks
• Support and collaborate with adjacent teams (eg, product and IT teams) to integrate modelling solutions
• Continuously innovate with the team and customer, utilizing modern tools to enhance model development and deployment

Skills & Experience

A successful candidate will demonstrate:

• A background or work experience in biostatistics or a related field
• Strong proficiency in R programming and R package development
• Experience in statistical model deployment and end-to-end MLOps (preferred)
• Extensive experience with cloud infrastructure, preferably Databricks and Azure
• Experience with Shiny development (preferred)
• Ability to work with customer stakeholders to understand business processes and workflows, designing solutions to optimize and automate them
• DevOps experience and familiarity with software release processes
• Familiarity with Agile delivery methods

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Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.