Senior Data Analyst

In this role, you will have the opportunity to apply your analytical expertise to drive impactful decision-making and support our mission of advancing clinical research and improving patient outcomes. You will collaborate closely with commercial, sales, clinical, and other stakeholders to tackle complex problems and uncover actionable insights. Your contributions will be instrumental in optimizing clinical trial feasibility assessments, enhancing customer engagement strategies, and informing marketing initiatives. By leveraging data-driven approaches, you will help us navigate the dynamic landscape of clinical research, drive innovation, and make a meaningful difference in the lives of patients and healthcare providers.

What You'll Do:

• Develop assessment metrics and projections to evaluate clinical trial programs.
• Conduct data analysis to support Paradigm’s commercial operations, including analyzing clinical data, pharmaceutical development trends, and operational metrics.
• Collaborate with the commercial team to provide data-driven insights during discussions with current and prospective clients.
• Provide insights and recommendations to optimize commercial strategies and operational efficiency.
• Conduct pre-sale data analysis to assess the feasibility of potential trials in Paradigm’s patient network, including generating patient counts by disease indication and demographic summaries.
• Analyze data from existing clinical trials to identify trends, patterns, and insights related to patient recruitment, enrollment rates, and trial outcomes.
• Collaborate with cross-functional teams to assess clinical trial criteria and strategic alignment of those trials with business objectives.
• Collaborate with other data science team members to leverage existing SQL and Python logic, as well as contribute to the codebase by developing new logic based on insights gained from data analysis.

Who You Are:

• Bachelor’s degree or higher in epidemiology, biostatistics, or related field
• 4+ years experience as a data analyst, data scientist or other highly analytical role, preferably in the life sciences, biotech, or pharmaceutical industries
• Deep understanding of clinical data elements ideally in oncology
• Understanding of information security best practices as they relate to patient privacy and clinical data regulations.
• Excellent communication skills, both written and verbal, with the ability to engage with clients and stakeholders effectively.
• Excellent analytical and problem-solving skills with the ability to quickly understand the scope of a problem, gather requirements, translate that to an action plan, and execute in close partnership with stakeholders
• Proficiency in SQL and a programming language (Python and PySpark preferred, but open to candidates with experience in other relevant languages like R/Julia/etc)
• Databricks) to create insightful and actionable dashboards and reports tailored to business needsExperience with data visualization tools (e.g., Plotly, matplotlib, ggplot, Tableau, 
• Comfort with ambiguity and ability to thrive in a mission-driven, fast-paced startup environment
• Proven ability to manage competing priorities effectively, demonstrating flexibility across a range of tasks driven by customer interactions

Bonus:

• Master’s degree or higher
• Deep understanding of clinical trial industry 
• Strong statistical knowledge, including regression, classification, hypothesis testing, etc.
• Experience in customer engagement and marketing analytics is a plus
• Experience with programmatic evaluation