Genomic Life is seeking an experienced Data Scientist to compile, analyze, and interpret large data sets to identify trends and provide key insights to clients, demonstrating the value of navigation.
Requirements
- Proficiency with data mining, mathematics, and statistical analysis
- Advanced experience in pattern recognition and predictive modeling
- Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS)
- Knowledge of AWS managed services is preferred (S3, DynamoDB)
- Knowledge of Salesforce.com
- Knowledge of JIRA, Confluence, and other project management tools
- Deep experience with medical data/records
Responsibilities
- Compiles, analyzes, and interprets large data sets to identify trends, patterns, and provide key business and client insights
- Refines and enhances client-centric reporting requirements and continuous data insights for scientific and commercial initiatives
- Develops a database resource for broad analysis and assessment across multi-sourced genetic and clinical data
- Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases
- Develops reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools
- Identifies relevant data sources and sets to mine for client needs, and collect large structured and unstructured datasets
- Designs, develops, and implements valuable data-driven solutions for the organization
Other
- 5+ years of experience in a data scientist role
- Ability to work effectively in a dynamic, research-oriented group with multiple concurrent projects and competing priorities
- Strong written and verbal communication with experience preparing manuscripts a plus
- Strong analytical capabilities
- Strong attention to detail, and excellent time-management skills
