Bioinformatics Scientific, RJ IT Solutions, All cities, MD


RJ IT Solutions -
N/A
All cities, MD, US
N/A

Bioinformatics Scientific

Job description

BIOINFORMATICS SCIENTIST -National Institutes of Health/ NIAID

RJIT Solutions is an information technology and bioscience company that specializes in providing innovative solutions in biomedical research and data science. We serve healthcare organizations by leveraging the expertise of our team in science, software engineering, and program/project management. Our commitment to excellence has made us a trusted partner of top research organizations, including multiple institutes at the National Institutes of Health (NIH). At RJIT Solutions, we combine the agility of a small business with the comprehensive capabilities of a large organization to accelerate research and enhance decision-making processes in healthcare and research sectors. As part of our unrelenting focus on quality and compliance, RJIT Solutions delivery is based on Certified Matured Processes including CMMI L3 SVC, ISO 20000, ISO 27001, and ISO 9001 quality processes.


Bioinformatics Scientist [Position close date: 5/7/2024]


Technical Requirements:

Assist with the development of research initiatives with intra/extramural divisions.

Prepare research materials to review by federal staff.

Assist in the development, management, and evaluation of operations research.

Assist with technical data science consultations across a broad range of ODSET and NIAID activities; has technical expertise in subareas of data science.

Assist in the development and management of the data science training program.

Assist with implementation of policy, create guidance, best practices, and training materials for policy related to data sharing and use.

Assist with coordinating data policy implementation; support the Genomic Program Administrator and Data Access Committee.

Assist with the data science outreach program, including development of online materials, the NIAID data science website, blog posts, newsletters, social media posts, etc.; organize workshops and the data science webinar series.

Serve as a member of a multidisciplinary team in ODSET, contribute diverse knowledge and skills; demonstrate ability to bridge biomedical and data science domains.

Assist with managing operations of the data science research, training, policy, and outreach operations through maintaining of operational systems, data registrations, budget tracking, and similar operations.

Develop and manage efforts to improve compliance of NIAID data assets with Findable, Accessible, Interoperable, and Re-usable (FAIR) Guiding Principles.

Develop approaches to create and improve machine-actionable, FAIR-compliant metadata based on structured vocabularies and ontologies.

Make recommendations for standard schema s and machine-actionable

representations for metadata and data in the NIAID mission area. Assist with the design and management of the NIAID Data Ecosystem, especially with the use of ontologies and machine-actionable metadata.

Collaborate with ODSET s DATA Scholar on the project to develop an AI-Ready Data Ecosystems for Pandemic Preparedness, by representing knowledge in machine-actionable format based on ontologies and semantic technologies.


Other Requirements:

Telework may be authorized if approved by the Task Leader, COR, and the Contracting Officer.


Specific Qualifications:

Master s degree with minimum of 2 years of experience in a related field.

A doctoral degree in a biomedical discipline and graduate training in biomedical informatics or a related data science field is preferred.

Basic knowledge of computer science, systems analysis, and systems programming.

Demonstrates exceptional oral and written communications, including ability to apprise/update senior staff and communicate technical content to diverse audiences.

Research experience in ontologies related to infectious diseases is preferred.

Demonstrated experience in the development and use of ontologies and semantic technologies applied to infectious diseases is preferred.


Full-time 2024-06-09
N/A
N/A
USD

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