About ProCogia:
We’re a diverse, close-knit team with a common pursuit of providing top-class, end-to-end data solutions for our clients. In return for your talent and expertise, you will be rewarded with a competitive salary, generous benefits, alongwith ample opportunity for personal development. ‘Growth mindset’ is something we seek in all our new hires and has helped drive much of our recent growth across North America. Our distinct approach is to push the limits and value derived from data. Working within ProCogia’s thriving environment will allow you to unleash your full career potential.
The core of our culture is maintaining a high level of cultural equality throughout the company. Our diversity and differences allow us to create innovative and effective data solutions for our clients.
Our Core Values: Trust, Growth, Innovation, Excellence, and Ownership
Job Description
We are looking for statistical programmers to join our SAS to R migration team. Our company provides these services across industries, but our focus is on clinical programming for the pharmaceutical industry. A successful candidate will demonstrate a close attention to detail to fully replicate SAS workflows and output in R. This will require a proficiency in all major applications of the R language, including a working knowledge of Quarto and Shiny; however, the primary focus will be on data manipulation, dataset preparation, and biostatistical analyses.
The core responsibility for this position is to replicate existing SAS workflows in R. Our team works in R as our primary language, but a good understanding of the SAS system is required for a successful migration. It is unlikely that a candidate would need to develop novel SAS code; however, they should have a solid understanding of the SAS DATA step, statistical procedures, and the SAS Macro system.
We have provided SAS to R migration services across multiple industries, including market research, finance, and life sciences. Our primary client base includes a number of large pharmaceutical companies which require a code base to closely align with regulatory requirements. Successful candidates to this role will have demonstrated experience with clinical programming and be able to replicate CDISC data and reporting standards in R and have a solid understanding of the statistical tools used in clinical data analysis.
Consulting is about solving novel problems for our clients. We are looking for a candidate who sees each new challenge as an opportunity to expand their experience, learning new technical skills, analytic methods, and operating environments.
ProCogia serves clients across North America, so a successful candidate will have demonstrated a strong independent work ethic with a track record of delivering results while working remotely without close supervision.
Responsibilities
- Clinical programming focus, but comfortable across industries
- Line for line migration of SAS code into R with occasional refactoring
- Create all files, documents, and analyses necessary to support electronic FDA submissions in R based on existing SAS code
- Proficiency in R, including tidyverse, pharmaverse, ggplot2, and stats packages
- Provide unit testing and documentation for all migrated code
- Blog writing, presentations, webinars, communication
Requirements
The R Developer will have the following skills, experience, and education. A successful candidate will be prepared to present and discuss examples of their work to the hiring manager.
Skills:
Required:
- Demonstrated proficiency with the R language with specific focus on scientific programming using the tidyverse collection of packages.
- Strong biostatistics knowledge
- Intermediate knowledge of CDISC standards and clinical trials
- Experience in regulatory submissions
- Extensive knowledge of Posit applications
- Familiar with command line tools and git
- Comfort using and developing workflows with the following R packages: tidyverse, pharmaverse, ggplot2, plotly, testthat, parallel, quarto, shiny, renv, tidymodels.
- Professional history working closely with SAS programmers including a good understanding of the SAS language.
- Demonstrated strong written communication skills.
- Experience working in AWS and/or Microsoft Azure.
Preferred:
Experience working with a financial services organization
- Quarto and/or RMarkdown
- Extensive SAS experience
- Experience with medical records data, ICD/SNOMED coding
Experience:
- 5+ years’ experience scientific programming in a life sciences context
- 5+ years’ experience with R programming
- 5+ years’ experience with SAS programming
- 5+ years’ experience with Posit products
Education:
- Bachelors or Masters in any of the following scientific fields: biostatistics, public health, epidemiology, computational biology, bioinformatics, or other related fields.
ProCogia is proud to be an equal-opportunity employer. We are committed to creating a diverse and inclusive workspace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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What We Do
ProCogia is a market-leading data consultancy fielding a team of agnostic data experts, delivering projects at clients including Microsoft, T-Mobile, Getty Images and Roche. Our dedicated team help to deliver end-to-end data solutions using our Data Operations, Data Engineering, BI, Analytics and Data Science expertise. These capabilities help to deliver highly scalable data solutions that leverage the full potential of your data.
To build agnostic data solutions ProCogia are partnered with AWS, Microsoft, Snowflake & RStudio. We are headquartered in Vancouver, BC with offices in Seattle, New York, Boston, Toronto, Calgary, India, and Ireland. We work with clients across numerous sectors including Telecom, Pharma, Biotechnology, Retail, Logistics, Technology, Financial Services, Media & non-profit.
Why Work With Us
We're a diverse, people first organization that is always asking how we can make the lives of our employees in the workplace better. We demonstrate this in the many generous people-related programs we offer. We promote from within, support lateral transitions and consider those who move onto to another company our alumni.
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