Entry Informatics Analyst (December 2024 Graduates or Later)

				Overview:

Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries.

Responsibilities:

* Evaluate data needs for assigned projects and make recommendations on strategic approach specific to the study design and opportunity specifics;
* Perform comprehensive review of data sources to deliver high quality informatics data and analysis to teams;
* Work alongside global feasibility leads to contribute to proposal strategy for site and country selection based on available data;
* Translate the results of feasibility research and analysis into compelling data visualizations which illustrate the overall feasibility strategy including enrollment modeling;
* Design and implement database architecture plans and perform custom queries for methodological and clinical data sources;
* Perform development and review of proposal text;
* Assist project teams with preparation for bid defense meetings; and
* Support departmental process improvement initiatives.

Qualifications:

* Bachelor's, or Master's degree in informatics, computer science/engineering, biomedical engineering, health information, statistics, or related field;
* Analytical thinker with great attention to detail;
* Ability to prioritize multiple projects and tasks within tight timelines;
* Excellent written and verbal communication skills;
* 1-2 years of clinical research experience is preferred; and
* Computer programming experience for data queries, database structure, and/or statistical analysis (preferred language: R)
			

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