Biomedical Research Information Specialist – Pharmacology

Rockville, MD
Full Time
Experienced

We believe that by equipping researchers with rapid insights and providers with tailored, on-demand data, we can help people lead better, healthier lives. At Digital Infuzion, we harness innovative healthcare solutions and cutting-edge bioinformatics to make meaningful impacts in patient care.

Our team thrives in a creative, open, and growth-oriented environment, guided by our core values:
Outcomes First: Focusing on what matters most and making timely, informed decisions.
Innovative: Embracing creativity and continuous improvement to drive novel solutions.
Radical Candor: Communicating openly and honestly, balancing direct feedback with genuine care.
Never Satisfied: Pursuing excellence and continuous growth beyond the status quo.
Resilient: Adapting and persevering through challenges, turning obstacles into opportunities.

If you're passionate about leveraging technology to improve healthcare and want to work in an environment that values innovation and collaboration, we may have just the opportunity for you.

Position Overview

We are seeking a Biomedical Research Information Specialist – Pharmacology to support the creation, editing, processing, and publication of controlled terminologies with a pharmacological and clinical focus. This role plays a critical part in supporting regulatory and pharmacovigilance needs, ensuring that cross-terminology mapping across standards such as MED-RT, SNOMED CT, and RxNorm remains current and aligned. The position supports AI-assisted terminology workflows and contributes subject matter expertise to regulatory and deliverables.

Key Responsibilities

  • Support creation, editing, processing, and publication of controlled terminologies with pharmacological and clinical focus

  • Model concepts using standardized ontology languages, including OWL2

  • Respond to Drug terminology resource requests 

  • Maintain up-to-date terminology reflecting current pharmacological and clinical practice

  • Perform data conversion and mapping to support interoperability

  • Collaborate on quality control and editorial processes

  • Proactively identify and develop new terminology as needed

  • Ensure cross-terminology mapping across MED-RT, SNOMED CT, and RxNorm remains current

  • Validate AI-assisted terminology suggestions in pharmacological domains

  • Contribute terminology expertise to regulatory support initiatives

Required Qualifications

  • Minimum of 5 years of progressively responsible experience

  • Advanced degree preferred in Nursing, Pharmacology/Pharmacy, Public Health, Medicine, Biology, Molecular Biology, or related discipline

Preferred Qualifications

  • Experience with terminology creation and ontology modeling

  • Experience working with data standards and interoperability frameworks

  • Experience supporting regulatory terminology initiatives

Technical Skills & Knowledge

  • Best practices for semantic representation of pharmacological and clinical data

  • Industry standards and vocabularies including RxNorm, SNOMED CT, and MED-RT

  • Integration with research, clinical, and regulatory systems

  • Data standards utilization and interoperability best practices

  • Regulatory activities and terminology use cases

  • Cross-terminology mapping methodologies

  • Terminology management workflows and publishing processes

Digital Infuzion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor per Federal laws.

We can provide reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please contact Human Resources at HR@digitalinfuzion.com. The decision on granting reasonable accommodation will be made on a case-by-case basis.

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