Senior Database Developer

Overview

On Site
Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Amazon Web Services
Artificial Intelligence
Bash
Bioinformatics
Cloud Computing
DNA
Data Analysis
Data Visualization
Docker
Environment Management
Good Clinical Practice
Google Cloud Platform
HPC
IaaS
Kubernetes
Machine Learning (ML)
Nexus
Pipeline Management
Programming Languages
Python
R
Release Management
Research
Sage
Workflow

Job Details

Job Title: Database Developer III

Job Duration: 12-month Contract

Job Description:

Position Overview

We are seeking an experienced Cloud Infrastructure/ AI/ML/ Data Engineer to support variety of projects across Genomic Medicine Unit (GMU) research and platform work. This contractor role focuses on providing infrastructure solutions to enable AI/ML models developments and applications. As such, the position will require pipelines execution, environment management, AI/ML model development/deployment, management of data for various bioinformatics workflows.

Required Experience

9+ years of experience in cloud infrastructure, AI/ML development, and bioinformatics pipeline management.

Advanced degree (MS or PhD) in Bioinformatics, Computational Biology, Computer Science or related field.

Demonstrated expertise with various computing platforms (HPC, 7B, DNA nexus, AWS Sage maker AI).

Strong background in NGS data analysis and pipeline automation.

Technical Skills

Cloud computing platforms (AWS, Google Cloud Platform)

Containerization technologies (Docker, Kubernetes)

Programming languages (Python, R, Bash)

Experience with NGS data analysis workflows and automation (Snake make, Next flow)

Experience developing/deploying AI/ML frameworks

Data visualization tools and libraries

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.