Pharmaceutical Data Analyst (The Data-Driven Health Strategist)

If you’re ready to combine your expertise in data analysis with a deep understanding of pharmaceuticals, our client has the perfect opportunity for you. We’re seeking a Pharmaceutical Data Analyst (aka The Data-Driven Health Strategist) to analyze clinical, research, and market data that will shape the future of drug development, marketing, and patient outcomes.

Your insights will help drive decisions in areas like drug safety, efficacy, and commercialization, ensuring that patients receive the best therapies as quickly and safely as possible.

Key Responsibilities:

1. Analyze Clinical Trial Data:

• Perform in-depth analyses of clinical trial data to assess the safety, efficacy, and performance of new drugs and treatments. You’ll work with large datasets from clinical trials, ensuring data quality and compliance with regulatory standards.
• Support Drug Development with Data Insights:
• Provide data-driven insights that support decision-making throughout the drug development process, from discovery to preclinical trials to post-market surveillance. You’ll help identify trends, risks, and opportunities to improve drug development outcomes.
• Collaborate with Cross-Functional Teams:
• Work closely with clinical researchers, pharmacologists, and biostatisticians to ensure data analysis aligns with project goals. You’ll collaborate to interpret data findings and communicate actionable insights that guide drug research and development strategies.
• Perform Market Analysis for Pharmaceutical Products:
• Analyze market data to assess the competitive landscape, forecast demand for new drugs, and identify potential risks and opportunities. You’ll provide insights that inform drug commercialization strategies, helping to align product launches with market needs.
• Ensure Compliance with Regulatory Standards:
• Ensure all data analysis and reporting meet industry regulations, such as FDA guidelines, EMA standards, or ICH guidelines. You’ll work to maintain data integrity, accuracy, and transparency in all pharmaceutical data management processes.
• Develop Predictive Models and Data Dashboards:
• Build predictive models and data visualization dashboards that support pharmaceutical development, patient outcomes, and business performance. You’ll create tools that help teams monitor drug performance and optimize decision-making.
• Contribute to Real-World Evidence Studies:
• Assist in real-world evidence (RWE) studies by analyzing health outcomes data from diverse sources, including patient registries, electronic health records, and insurance claims. Your insights will help guide drug safety monitoring and patient care strategies.

Requirements

Required Skills:

• Pharmaceutical Data Analysis Expertise: Strong experience in analyzing clinical trial data, drug efficacy studies, or real-world evidence. You’re proficient in working with pharmaceutical data and understand the key challenges in drug development.
• Statistical and Analytical Skills: Expertise in statistical analysis, including the use of software tools like SAS, R, Python, or SQL for analyzing large datasets. You’re skilled in performing complex data analyses to extract meaningful insights.
• Regulatory Knowledge: Familiarity with regulatory requirements for pharmaceutical data, including FDA, EMA, and ICH guidelines. You understand how to maintain compliance with data handling and reporting standards.
• Data Visualization and Reporting: Proficiency in creating data visualizations and dashboards using tools like Tableau, Power BI, or Excel. You can effectively communicate data findings to both technical and non-technical stakeholders.
• Collaboration and Communication: Strong collaboration skills with the ability to work with cross-functional teams, including clinical researchers, biostatisticians, and product managers. You’re able to explain complex data concepts clearly and concisely.

Educational Requirements:

• Bachelor’s or Master’s degree in Data Science, Biostatistics, Pharmaceutical Sciences, or a related field. Equivalent experience in pharmaceutical data analysis is highly valued.
• Certifications or additional coursework in pharmaceutical data analysis, clinical trial management, or health informatics are a plus.

Experience Requirements:

• 3+ years of experience in pharmaceutical data analysis, with hands-on experience working with clinical trial data, drug development processes, or market analysis.
• Experience with statistical software such as SAS, R, or Python for analyzing clinical and pharmaceutical data.
• Experience working in regulated environments such as FDA or EMA is highly desirable.

• Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
• Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
• Work-Life Balance: Flexible work schedules and telecommuting options.
• Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
• Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.
• Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.
• Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.
• Tuition Reimbursement: Financial assistance for continuing education and professional development.
• Community Engagement: Opportunities to participate in community service and volunteer activities.
• Recognition Programs: Employee recognition programs to celebrate achievements and milestones.