Data Analyst

2 weeks ago

Lawrenceville, United States Aequor Full time

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.

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