The R Technical Solutions Programmer is responsible for implementing the vision for data and analysis infrastructure platforms and other technical solutions to support the data flow from data collection to data submission. Using expertise in R programming and clinical trials to create solutions that will enable an open-source ecosystem for programming. This role will coordinate gathering and prioritizing requirements in the process of design and delivery of fit-for-purpose data and analysis technical solutions.
ResponsibilitiesCollaborates with internal teams to understand requirements and develop processes, tools and utilities that will improve quality and efficiency
Develops reusable and robust R package code and/or utilities, along with detailed training/documentation
Promotes technical innovation to drive the development of data analysis and visualization solutions within a clinical data environment
Partners with study teams in use and further improvement of processes and tools
Facilitates change management activities and training for department systems and processes
Qualifications
Minimum 5 years’ industry experience (Pharma, Biotech, CRO)
Experience with R within regulated clinical development environments
Strong R data manipulation and analysis skills using standard tidyverse packages
Strong R visualization skills for use in static outputs and dashboards
Experience with developing R packages including proper documentation and testing
Experience developing SAS code including SAS/MACRO preferred
Familiarity with Posit products including Workbench, Positron, and Connect
High attention to detail including proven ability to manage multiple, competing priorities
Familiarity with drug development life cycle and experience with manipulation, analysis, and reporting of clinical trials’ data
Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

