ICF Incorporated, LLC is looking to improve public access to information about clinical research, promote public trust in research, and inform future research by analyzing and supporting client business processes and workflows.
Requirements
- Data science methods such as machine learning (ML) and natural language processing (NLP), SQL (Structured Query Language), and Python libraries for data science.
- Biomedical or clinical informatics as applied to clinical trials or real-world data
- Computer programming, including working with large datasets using Python Pandas
- Statistical analysis, including regression analysis and comparison of samples or populations
- Data visualization, employing Python libraries, such as Seaborn and Matplotlib, using Microsoft Excel, and/or creating/updating reports in Tableau or as HTML
- Computing proficiency in Microsoft Windows and Linux operating systems
- Knowledge may be demonstrated through education, training and/or experience
Responsibilities
- Analyzes and supports client business processes and workflows, performs gap analysis, and validates the information
- Collaborates with stakeholders to develop and implement innovative approaches/solutions through research and data analysis to address key business and operation needs
- Develops data and business analytics framework for the client’s future strategic initiatives to facilitate business decisions, including key indicators to ensure results are measurable and sustainable
- Performs exploratory (ad hoc) data analyses, generates and tests working hypotheses, prepares and analyzes historical data and identifies patterns
- Supports automation of the client’s clinical trial business process metrics visualization and reporting.
- Collecting, interpreting, evaluating, and synthesizing large amounts of data to develop appropriate conclusions and recommendations
- Computer programming, including working with large datasets using Python Pandas
Other
- Up to 100% remote; may be performed from anywhere in the U.S.
- Any suitable combination of education, training and/or experience will be accepted.
- We are an equal opportunity employer.
- We will consider for employment qualified applicants with arrest and conviction records.
- Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process.
