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Research Data Scientist

Seattle Children's HospitalSeattle, WA

About The Position

This position involves working with a dynamic and interdisciplinary group of scientists as part of a large NIH-funded contract. The primary responsibility is to support FAIR data management and sharing within the consortium, which focuses on host-pathogen interaction and immunology-based assay data, and with the public domain. The role requires developing data management tools for specialized data entry for immunology, clinical, and -omics based assays. The ideal candidate possesses strong skills in data science and computer science, particularly in managing complex biological and clinical research data, and is a proponent of Open Science with a good understanding of experimental design in life sciences and high-throughput OMICs. Clear communication and coordination with consortium scientists are essential to identify data for inclusion in the repository and assist with data preparation and upload.

Requirements

  • Basic knowledge of standard principles, theories and concepts related to immunology research.
  • Proficient oral and written communication skills; able to work collaboratively in a team environment.
  • Understanding of FAIR data sharing principles and experience implementing strategies to improve data sharing in alignment with FAIR principles.
  • Experience tracking and sharing experimental metadata.
  • Proficient planning skills, able to manage multiple projects with competing priorities/deadlines, and to work in parallel with different teams to move multiple projects forward simultaneously.
  • Able to establish and maintain professional working relationships with scientists.
  • Able to occasionally work outside standard business hours in order to liaise with international consortium members.
  • Able to work on projects and other assignments with limited direct supervision.
  • Effective problem-solving skills, attention to detail and ability to learn new analytic skills.
  • Bachelor's Degree in Science, Computer Science, Statistics, or comparable area of research.
  • At least two (2) years of experience participating in data science and analytics related projects or research.
  • Relevant programming and data management experience, including experience with data manipulation and visualization techniques (R, SQL).

Nice To Haves

  • Proficiency in the field of Biomedical/Health Informatics, including extensive familiarity with biological data, molecular biological databases, and clinical databases.
  • Experience with Microsoft applications and tools, including in-depth technical and/or applications knowledge in assigned platforms.
  • Relevant programming and data management experience, including experience with R, SQL, and Python.
  • Experience interacting with biological data repositories (SRA, SEEK, GEO, Pride, IMMPORT, etc.,)

Responsibilities

  • Manage consortium's data repository: Work with stakeholders to design, implement, modify and maintain a data repository used for internal data sharing within the program.
  • Manage consortium's data repository: In collaboration with scientists, adapt and develop data entry templates for different experimental platforms and metadata.
  • Manage consortium's data repository: Work closely with scientists and PIs to identify and release data that needs to be shared publicly in accordance with NIH Data Sharing policy.
  • Manage consortium's data repository: Liaise with larger consortia data repository scientists to facilitate data sharing between consortia.
  • Maintain an up-to date data repository: Actively solicit new data entries and regularly update the repository.
  • Maintain an up-to date data repository: Work closely with scientists to identify the appropriate metadata required for individual experiments.
  • Maintain an up-to date data repository: Coordinate directly with consortium scientists to support ongoing data entries, including providing basic training, performing quality control, and investigating problematic data entries.
  • Participate in project management efforts: Develop work plans, identify resource requirements, and develop work schedules.
  • Participate in project management efforts: Provide detailed quarterly reports of data sharing projects, ensuring information is presented in appropriate language for clear communication to team members.
  • Participate in project management efforts: Communicate projects' schedules and track project progress and success.
  • Participate in project management efforts: Recommend and create documentation for best practices for data sharing.
  • Participate in project management efforts: Solicit and provide feedback of implementation of data sharing projects to improve processes.
  • Participate in project management efforts: Demonstrate initiative and innovation by proactively identifying opportunities for improved efficiency and project success and make recommendations to investigators and team members.
  • Participate in project management efforts: Adapt data sharing implementation and reporting practices to align with NIH data sharing policy updates.

Benefits

  • medical plans
  • dental plans
  • vision plans
  • 403(b)
  • life insurance
  • paid time off
  • tuition reimbursement

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

501-1,000 employees

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