Job Description

Job Purpose

We are looking for an experienced Data Scientist to work at one of our global biopharma customers on a range of Biostats models consulting and development engagements. They are 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.

Desired Skills and experience

? Candidates should have a B.E./B.Tech/MCA/MBA in Finance, Information Systems, Computer Science or a related field
? Strong experience in R programming and package development
? Proficiency with GitHub and unit testing frameworks.
? Strong documentation and communication skills.
? A background or work experience in biostatistics or a similar discipline (Preferred).
? Expert knowledge in Survival Analysis (Preferred)
? 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.
? Excellent communication skills, both written and verbal
? Extremely strong organizational and analytical skills with strong attention to detail
? Strong track record of excellent results delivered to internal and external clients
? Able to work independently without the needs for close supervision and also collaboratively as part of cross-team efforts
? Experience with delivering projects within an agile environment

Key responsibilities include:

? Evaluate and document R packages, including metadata and user-focused use cases.
? Develop unit tests aligned with best practices in R package development.
? Collaborate closely with internal stakeholders.
? Design and implement technical solutions for Survival Analysis, based on statistical and business requirements
? Develop professional quality R packages.
? Provide consultancy on Biostats model development and deployment best practices.
? Review and optimize 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.
? Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards, a natural aptitude to develop good internal working relationships and a flexible work ethic
? Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time (TAT)