Data Scientist 2

Integrated Resources, Inc.
United States
1 day ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$83,200.0
Working hours
Regular working hours

Tech stack

Big Data Bioinformatics C++ (Programming Language) Computer Programming Databases Data Visualization Linux R (Programming Language) Python (Programming Language) SQL Databases Scripting Information Technology

Job description

This is a key position in the Client team. The successful candidate will have the opportunity to work with a broad team of lab scientists and software engineers to build cutting-edge technologies and develop innovative molecular diagnostics products for improving organ transplantation outcomes. The successful candidate will assist in streamlining computation workflows for sequencing analysis and report generation. This role will work in collaboration with the research staff and other departments, and requires knowledge of bioinformatics, biostatistics, molecular biology, as well as the ability to quickly grasp new disciplines., * Maintaining and optimizing existing analysis workflow pipelines

  • Collect, clean, and manage data from various sources.
  • Collaborate with the internal bioinformatics and data science teams to identify computational bottlenecks in existing workflows and assist in process efficiency where needed.
  • Light scripting and programming work are expected.

Requirements

  • Bachelors or Master’s degree in Computer Science, Bioinformatics, Biological Sciences, or similar fields with 2+ years of meaningful experience., * Proficiency in programming/scripting with C/C++, Python, R, SQL, Client or other languages
  • Able to interact with organization system hardware, software, infrastructure, and IT individuals regularly
  • Experience working in Linux environment, building and maintaining NGS bioinformatics analysis pipelines, knowledge of the common bioinformatics tools and databases strongly preferred
  • Statistical analysis and data visualization with large datasets preferred
  • Understand basic biological concepts preferred

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