Stats Programmer
18 hours ago
Requirement Details.
- RWE generation acts as the critical bridge from clinical effectiveness to a commercially viable brand. At MC Analytics, clinical and commercial disciplines work together, sharing insights and knowledge. It is never too early to consider commercialization in the drug development process. That’s why we are committed to working with you to design, develop and deliver fully integrated Real World Evidence ready for the peri-approval setting that collects the right data to ensure launch success.
- Meeting the needs of the key stakeholders through Real World Evidence generation ensures you deliver:
- The supportive data needed for regulators to approve and license
- The evidence of value needed by payers to authorize and pay for drugs
- The evidence physicians need to prescribe a drug with confidence
**Experience**:
BS/MS - with 1-2 yrs experience
[Plus] real-world data, or Oncology experience
**Coding Skills**:
Advanced/Expert R - dplyr, tidyverse
Ability to work with messy data, missingness, data pre-processing of structured data
Familiarity with GitHub and GitLab environments
Advanced SQL
- Ability to write scalable code - modularization, functions
**Scientific Skills**:
Basic university level data science or stats courses
Ability to implement/code statistical methods for descriptive statistics, KM curves, visualization plots, etc.
- High sense of ownership for deliverables - ensuring that they are timely and of high quality
Ability to work independently and proactively consult/ask questions when needed
Ability to take direction, oversight and work in a team environment
Ability to fit into a cross-functional and highly collaborative culture
**Qualification(s)**:
-
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