Data Wrangler

Posted 18 Hours Ago
Be an Early Applicant
Bethesda, MD
Senior level
Biotech
The Role
The Data Wrangler will evaluate and improve high throughput data and metadata quality for bioinformatic use cases, engage with scientists for stakeholder outreach, prepare documentation, and assist in the development of data formats and pipelines.
Summary Generated by Built In

Overview

Black Canyon Consulting (BCC) is a premium provider for life sciences, project and program management. We are searching for a Data Wrangler to support our work with a renowned federal agency where you will help drive modernization in one of the world’s largest data repositories.

We are looking for full-time candidates currently residing in the United States. This position is available for remote work.

Position Description

We are seeking a dynamic Data Wrangler that will play a vital role in the success of the IT/Product Modernization for one of the largest public repositories of high throughput data sequencing. The ideal candidate will collect, clean, and transform large datasets, ensuring data quality and accessibility for analysis. The ideal candidate will have strong technical skills in data manipulation, a keen eye for detail, and experience with various data processing tools and techniques.

If you are interested in being a part of an organization that operates within the intersection of technology and health, please apply today!

Roles & Responsibilities

  • Evaluate the fitness of the high throughput data, associated metadata, and data structures to support bioinformatic use cases within the repository
  • Evaluate new data model components and scientific/user impact
  • Engage scientists during stakeholder outreach activities and establish collaborations
  • Prepare use case and product documentation for public dissemination
  • Publish scientific papers describing SRA use cases
  • Assist in development and testing of improved SRA data formats
  • Assist in development and testing of improved metadata and sequence search data structures and pipelines

Education and Experience

  • Bachelor's degree in relevant field; advanced degree desired
  • 8+ years experience in data sequencing and data management
  • Experience leading and developing data modeling dashboards

Benefits and Salary

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.

We offer a competitive salary commensurate with experience and location. The targeted range for this position is $120,000 - $145,000.

If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Top Skills

Data
The Company
HQ: Bethesda, MD
271 Employees
On-site Workplace
Year Founded: 1988

What We Do


Official account of the National Center for Biotechnology Information (NCBI) at the National Library of Medicine. NCBI serves as an international resource for the scientific research community - providing access to public databases and software tools for analyzing biological data, as well as performing research in computational biology.

The NCBI was established in 1988 by an act of the United States Congress as division of the National Library of Medicine at the National Institutes of Health, with a mission to find new approaches to deal with the increasing volume and complexity of biological data in order to facilitate the understanding of genes and their role in health and disease.

The NCBI is made up of multidisciplinary research and development teams composed of molecular biologists, biochemists, structural biologists, clinicians, mathematicians, and computer scientists who:

Archive: Gather scientific and medical research data from around the globe
• Serve as the largest repository of the world’s primary biological research data
• Produce curated datasets to enhance the value and usability of the primary data

Access: Develop systems for discovering and integrating scientific and medical data
• Create search tools and data cross-referencing mechanisms
• Display and enable download of information from the world's largest collection of biological data

Advance: Promote understanding of processes that effect health and disease
• Perform cutting-edge research in computational biology
• Design and build algorithms, programs and systems for analysis of biological data
• Provide support and training through a varied and vigorous outreach program

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