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Data Scientist
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• Please Note - This is a W2 ROLE ONLY
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• Job Title: Senior Data Scientist - Clinical/Pharma/Life Sciences
Location: South San Francisco, CA (On-site)
Job Duration: 12+ Months Contract
Experience Required: 8+ years
Areas of Expertise:
• Forecasting: creating time-series and/or patient-based forecasts; conducting uncertainty analyses
• Data Analysis: identifying trends and patterns in the data; descriptive statistics; qualitative and quantitative insights generation
• Advanced-Data Analytics: designing and delivering advanced quantitative data analyses leveraging large/complex datasets and innovative methodologies
• Product Management: end-to-end delivery of analytical solutions from ideation through implementation, providing strategic partnership to communities across ECD Clinical Operations
Qualifications:
• Bachelor's degree in Data Science, Statistics, Computer Science, Life Sciences, Public Health, or a related field; Graduate-level degree preferred
• 3+ years experience in Biotech/Pharmaceutical industry
• 5+ years experience (3-5 years of experience with a Masters degree) in the following areas: Patient Insights, Investigator Insights, Forecasting, Competitive Intelligence, Data Analytics, Statistics, Advanced Data Analytics, Resourcing, Information Visualization and/or Data Science
• Strong proven experience engaging Clinical Operations stakeholders to understand and diagnose business problems, as well as using data-driven methods to analyze and solve business situations
• Demonstrated experience translating data into insights and creating compelling narratives
• Portfolio management experience is highly desirable
• Experience with various forecasting methods and techniques is strongly preferred
• Understands the advantages and limits of different analytical approaches
• Considerable experience applying exploratory & confirmatory data analysis techniques that inform business decisions
• Track record of effectively working in a matrix environment with team members coming from scientific, business, and operational backgrounds, using influence without authority
Technical Skills:
• Experience with scripting, statistical & programming languages, and analytical tools (e.g., Python, R, SQL, SAS)
• Experience with data visualization tools (e.g., Tableau, Spotfire) is preferred
• Ability to merge data sets from disparate sources and report findings in a variety of formats and mediums
• Experience with real-world data sources and electronic health records (EHR) systems is a plus
• Advanced proficiency in MS Excel and MS PowerPoint.