Job Description

Job Description

Job Description

Genomic Life is seeking an experienced Data Scientist to join our team! The Data Scientist is responsible for analyzing large-scale genomic data using statistical methods, machine learning, and bioinformatics to find and deliver clinical insights. Working with the Medical Affairs group as part of the Data Engagement Team, you will be focused on compiling, analyzing, and interpreting large data sets to identify trends and uncover insights. You will partner with the Head of Medical Affairs and other key stakeholders to deliver these high-quality insights to Genomic Life's clients and demonstrate the value of genomics and navigation.

Job Type: Full-time

Location: San Diego or Remote

Salary Range: $110-150k

Responsibilities:

• Compile, analyze, and interpret large data sets to identify trends, patterns, and provide key business and client insights
• Refine and enhance client-centric reporting requirements and continuous data insights for scientific and commercial initiatives
• Develop a database resource for broad analysis and assessment across multi-sourced genetic and clinical data
• Perform data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases
• Develop reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools
• Identify relevant data sources and sets to mine for client needs, and collect large structured and unstructured datasets
• Maintain continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support
• Design, develop, and implement valuable data-driven solutions for the organization
• Serve as a lead data strategist to identify new datasets that can be leveraged through our product capabilities
• Collaborate with the product team to implement analytical models and standard validation procedures for data sets to release to production
• Transition validated data sources to a self-service analytic and reporting framework
• Work to develop AI generated insights for analytics and forecasting
• Partner with the product and operational teams to enhance our internal processes for business analytics, data quality monitoring, data issue resolution and operational excellence

Requirements :

• 5 or more years of experience in a data scientist role
• Bachelor's degree or higher in computer science, mathematics, engineering, or a related field
• Deep experience with medical data/records
• Experience with genetic data, genetic terminology and HPO terms
• 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)
• 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
• Knowledge of Salesforce.com
• Knowledge of JIRA, Confluence, and other project management tools
• Ability to work in fast paced, start-up environment
• Experience in the employer benefits space is preferred

About Genomic Life:

Genomic Life's mission is to be the best in the world at navigating individuals to the genomics that matter. We provide clinically relevant proactive genetic testing all in one program, making it easy to prevent, diagnose, and treat disease. Our nationwide team is driven to make a difference for the members, clients, and patients we serve. We are bringing the science of today to the medicine of tomorrow. We are passionate about what we do and the extraordinary transformation that genomics will have on healthcare.

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