Analytics Engineer
Machinify- Full Time
- Mid-level (3 to 4 years)
Candidates must possess at least two years of industry experience developing software with R using both object-oriented and functional programming, as well as experience creating interactive Shiny applications. They should have a solid understanding of Linux system administration and two years of experience owning the infrastructure utilized by the Biostatistics team, including proficiency with version control systems like Git, AWS, and Infrastructure as Code frameworks such as Terraform or Ansible. Furthermore, familiarity with Python and ORM frameworks like SQLAlchemy is required, along with a Bachelor's degree or higher in Computer Science, Statistics, Bioinformatics, or a related quantitative discipline.
The Analytics Engineer will own and evolve the infrastructure used by Artera’s Biostatistics team to facilitate rapid development of R libraries, data and AI model analyses, and contributions to publications. They will develop the infrastructure necessary for rapid dashboard development to analyze both in-progress and launched products, and will serve as a key analytical contributor on diverse research and development initiatives, collaborating closely with biostatistics, clinical development teammates, AI engineers, product managers, and external partners.
SaaS digital health messaging integration platform
Artera is a compelling workplace due to its critical role in improving healthcare communication, orchestrating over 2.2 billion messages annually across diverse channels like texting, email, and webchat. The company not only facilitates efficient healthcare staff operations and profitability for organizations but also enhances overall patient experience by supporting services in over 109 languages. This broad impact in healthcare through high-level integration with EHRs and third-party vendors positions Artera as a leader in the digital health sector.