The successful candidate will work with stakeholders in the Quantitative Medicine and Genomics (QM&G) organization to update and maintain existing data resources and visualization tools and develop new dashboard solutions for evaluating target predictions against observed data. **Key Responsibilities:** • Update and maintain existing shiny app and Neo4J graph • Collaborate with team members to design and implement new framework solutions for data analysis and visualization. • Develop dashboards to evaluate the effectiveness of predictive models for clinical success against several metrics • Engage with experts in other departments during the development process. • Provide technical support and troubleshooting for end users • Create documentation for codebase and tools **Qualifications:** • Bachelors, (3-5 years). MS degree (0-2) or higher in a quantitative field (Bioinformatics, Computer Science, Computational Genetics, Biostatistics or other field with a strong quantitative and computational background) • Proficiency in R or Python programming • Experience with git • Experience using SQL and / or Neo4j databases **Preferred skills** • Experience working on HPC or cloud environment • Experience developing web apps in shiny or flask • Domain knowledge in bioinformatics and / or genetics • Domain knowledge in machine learning • Experience developing dashboards **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.