Planet Pharma is hiring: Clinical Trials Data Analyst in Princeton
Planet Pharma, Princeton, NJ, United States, 08543
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- Any location – remote. If candidates can come to one of our offices, that’s a plus, but not a must
- Duration: 6-month contract
Contract Details:
- Any location – remote. If candidates can come to one of our offices, that’s a plus, but not a must
- Start date: ASAP
- Duration: 6-month contract
This role is a temporary assignment for 6 months.
Your role
- Data Analysis and Interpretation: Query, aggregate, analyze, and derive results from clinical trial operations data, including patient demographics, disease prevalence, referral & treatment patterns, and competitive landscape, in support of study planning and execution.
- Site and Investigator Identification: Identifying potential clinical trial sites and investigators based on their experience, expertise, and patient population – including patient diversity and patient referral patterns.
- Enrollment Forecasting: Developing realistic patient enrollment timelines and targets based on feasibility assessments. Execute scenario analyses during study planning phase and study execution phase allowing impactful strategic and operational decisions
- Risk Assessment and Mitigation: Implement metrics related to study performance and study quality (KPIs & KQIs) to track and communicate study status and recommended actions. Identifying potential risks and challenges to study execution and developing mitigation plans.
- Collaboration and Communication: Working closely with clinical operations team, clinical development team, network strategy steam and biometrics department to ensure that quantitative assessments are integrated into the overall study planning and execution.
- Report Writing and Presentation: Developing, maintaining, and enhancing models, tools, and visualizations to support ongoing or planned clinical trials. Preparing comprehensive reports communicating complex analytical findings in a clear and concise manner to both technical and non-technical stakeholders.
- Bachelor’s or Master’s degree in a field related to data science, engineering, computer science, statistics or machine learning. Working experience can be considered in lieu of a degree.
- Five years or more of relevant experience in supporting the operational feasibility, design, and analytics of clinical trial operations.
- Experience working at a Clinical Research Organization or Pharmaceutical company conducting study feasibility, site selection analytics and study performance analytics. A thorough understanding of clinical trial design, execution, and regulatory requirements.
- Expert skills in Excel and PowerPoint.
- Proficiency in both Python and SQL for data querying, aggregation, and analysis.
- Experienced in modeling and analyzing situations that involve multiple variables and possible outcomes, including the use of Monte Carlo Simulations.
- Experienced in working with real-world data modalities such as Medical Claims, Electronic Health Record data. Experience with clinical trial databases (e.g., Citeline) is an advantage.
- Demonstrated ability to engage and work with clinical study teams to understand their needs and deliver results.
- Strong communication skills, with the ability to present data-driven findings to both technical and non-technical audiences.
- Ability to author dashboards summarizing key metrics and insights and authoring insightful slides to summarize the results of analysis.
Seniority level
Seniority level
Not Applicable
Employment type
Employment type
Full-time
Job function
Job function
Information TechnologyIndustries
Staffing and Recruiting
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