Clinical Safety Analytics Associate in Lawrenceville, NJ

2 weeks ago

Lawrenceville, United States Rangam Full time

Pay Rate: $62-$68 per hour


The candidate must be able to work 50% onsite at Lawrenceville. Local candidates are preferred.


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.


Summary:

  • 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.


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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