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Data Scientist

This role is for a Senior Data Scientist in Clinical/Pharma/Life Sciences, requiring 8+ years of experience, a Bachelor's degree, and 3+ years in Biotech/Pharma. Contract duration is 12+ months, on-site in South San Francisco, CA, with a focus on advanced data analytics and forecasting.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
600
🗓️ - Date discovered
February 13, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
South San Francisco, CA
🧠 - Skills detailed
#Spotfire #Data Science #Datasets #Programming #Data Analysis #SAS #R #Scripting #Tableau #Statistics #Visualization #SQL (Structured Query Language) #Computer Science #Forecasting #Python
Role description
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• Please Note - This is a W2 ROLE ONLY

• 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.