Statistical Programmer Ii

hace 6 días


Buenos Aires, Argentina Capgemini Engineering A tiempo completo

Since June 2021, **frog is part of Capgemini Invent**. frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. We’re inventing the future of customer experiences by delivering market-defining business models, products, services, brand engagements and communications.

Joining frog means you’ll be joining the “pond,” a global network of studios, each with a thriving in-person and vibrant virtual culture. frogs are curious, collaborative, and courageous, united by our passion for improving the human experience across our areas of expertise, while each bringing our unique and diverse skills and experiences to the table. We draw on our global reach and local knowledge to solve complex problems and create innovative, sustainable solutions that touch hearts and move markets. frogs prize humour, positivity, and community just as highly as performance and outcomes. Our culture is open, flexible, inclusive, and engaging. Working at frog means being empowered to meet the moment, and Make Your Mark on every project, in your studio, your community — and the world at large.

**Role overview**

**The Statistical Programmer II**:

- Assists manager and/or director to keep track project timelines and deliverables;
- Leads junior programmers in daily activities and performs on-the-job training to them;
- Communicates with clients for risks, issues, and potential delays.
- Programs all tables, listings and graphs necessary for an assigned clinical study report (CSR);
- Programs customized data displays, (including data listings, summary tables and routine graphics) in accordance with the approved statistical analysis plan (SAP) and shell displays for clinical research studies;
- Writes code using Base SAS programs, SAS procedures, or standardized macros;
- Analyzes protocol, SAP, existing shells/templates as needed to understand structure and content of data;
- Performs data checks as needed, to ensure integrity and correctness of data displays;
- Prepares documentation for programs;
- Prepares documentation describing all datasets and variables within, including derived variables, and the project as a whole;
- Creates SAS datasets of clinical data from clinical databases;
- Creates status and efficacy datasets;
- Creates project-specific macros and formats;
- Loads client data from other platforms and other software packages;
- Prepares data to be sent to clients and as needed for other external transfers and data imports.

**Qualifications**

1. Ability to communicate effectively in English, in both writing and verbal.

2. Ability to learn quickly and pay attention to details.

3. Ability to manage multiple tasks/projects, effectively prioritize and execute tasks, and make quality and on time deliveries.

4. Ability to work collaboratively, effectively, and productively in diverse organizational structures, and in interaction with dynamic clients.

5. Ability to work independently, takes ownership and strives for quality and efficiency.

6. Ability to work positively in a continually changing environment.

7. Solid/Advanced SAS skills and understanding of the concept of standardization in data, programming, and statistical reporting of trial results and its implication to drug development.

**Requirements**:
1. Bachelor’s degree, but Master’s degree or above, is preferred, in Biostatistics, Computer Science, Mathematics, or a combination of education and relevant industry experiences.

2. Strong SAS programming language and good knowledge/experiences of clinical trial and drug development.

3. At least 2 years of clinical programming or SAS programming experiences for the SP II position.

**Job Description - Grade Specific**:
**Equal Opportunities at frog**

Frog and Capgemini Invent are Equal Opportunity Employers encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.


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