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
EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans