Python Backend Developer

***Relocation works***

Experience: 8- 10 Years

Objective / Engagement Overview

As a user study team, we are looking for an experienced / senior Backend OR Full Stack Engineer to help us update/maintain our existing study data pipeline and help bring up some ML application. The ideal candidate is able to:

Understand complex data pipelines and learn quickly how to maintain/upgrade them

Get familiar with the data being collected and look for ways to make data collection/cleaning/storage more efficient

Build new backend tools to help with data collection on Apple Silicon

Can apply ML methods to help with data analysis (regression, sentiment analysis, computer vision, etc )

Work cross-functionally and adapt analysis quickly

Bonus: if Full stack engineer, a bonus would be building E2E applications (backend and frontend) on iOS devices (using Xcode)

 

The candidate has to be able to work exceptionally well and efficiently in a fast pace environment and multitask between data analysis requests, tasks and projects.

 

Skills

Pro level Python

R (optional)

Track record working with complex datasets integration across multiple systems

Data Viz tools like R Shiny, Tableau (nice to have)

Excellent communication skills

Statistical analysis (hypothesis testing, statistical modeling, power analysis )

Git

Very well organized

Work exceptionally well in a fast pace environment, and be able to multitask between tasks/projects

 

Assumptions Candidate must have had relevant experiences from a prior academic/professional role. Good candidates usually come from the following fields:

Data science

Statistics

Analytics

Physics/Math

Life sciences (with a focus on bio-statistics or data science)

Neurosciences ( (with a focus on bio-statistics or data science)

Clinical Trial or Studies

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.