Data Analyst

Data Analyst - Clinical Safety Analytics Associate

Role is 50% Onsite

6 Months Contract

Lawrenceville, NJ

Summary:

The Clinical Safety Analytics Associate will play a critical role within the PV CoE. This position focuses on assisting with analyzing data and deriving insights from clinical and safety data sources to generate evidence and support decision-making across the organization. The Associate will leverage a variety of analytics and visualization techniques to contribute to research, clinical development, drug safety, and post-marketing activities.

Must Have List:

• 4 years of Data Analyst experience
• Intermediate to Advanced skills with Tableau or Qlik
• Extensive experience with SQL and Python or R or SAS
• Strong communication skills
• Biopharma experience preferred
• Bachelor's or Master's (preferred) degree in a relevant field, such as Biostatistics, Analytics, Engineering, or related discipline

Roles & Responsibilities:

• Collaborates and works closely with cross-functional teams, including data analysts/engineers and business stakeholders, to understand their needs and gather requirements.
• Cleans, transforms, and pre-processes data to ensure data quality, consistency, and compatibility for analysis.
• Develops and implements data analysis plans to answer clinical and safety questions.
• Applies analytical and/or statistical techniques to analyze data and generate insights on safety questions.
• Visualizes data and results to share insights with technical and non-technical cross-functional stakeholders.
• Interprets and communicates findings through reports, presentations, and visualizations.
• Stays up-to-date and compliant with the regulatory landscape related to drug safety and data analyses.
• Works closely with PV CoE and other stakeholders, sharing knowledge and best practices within the broader safety and analytics teams.

Skills & Competencies:

• Strong understanding of data sources, such as clinical trial data, electronic health records, and other healthcare databases.
• Proficiency in data pre-processing, cleaning, and transformation techniques to ensure data quality and compatibility for analysis.
• Knowledge of relevant analytical and statistical methodologies, such as regression analysis, survival analysis, etc.
• Excellent problem-solving skills and the ability to derive meaningful insights from complex real-world data sets.
• Excellent communication and presentation skills to effectively convey complex concepts and findings.
• Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously.
• Strong attention to detail and accuracy in data analysis and interpretation.

Experience:

• Bachelor's or Master's (preferred) degree in a relevant field, such as Biostatistics, Analytics, Engineering, or related discipline.
• Minimum of 3-5 years of experience in data analysis, statistical modeling, and data visualization, preferably within the biopharma or healthcare industry.
• Experience applying statistical and analytical techniques to analyze real-world data.
• Experience with Python or R or SAS and SQL required.
• Working knowledge of visualization tools, such as Tableau or Power BI.
• Experience or familiarity with the biopharma industry.