Analyst RWD Solutions
Remote Full-time Healthcare & Life Sciences
Clinical Analyst , RWD Solutions
unites market-leading companies that all have a shared goal of improving patient access. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, we help our clients:
• Accelerate the drug development cycle
• Bring the right drugs to market
• Identify barriers to patient access
• Turn data into insights faster
• Think strategically for specialty therapeutics
By combining the efforts of each organization under, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. Qualifications and Required Skills
• Experience designing healthcare analytic studies, structuring analysis ready datasets, choosing proper analytical methods, and employing appropriate visualization depending on project needs.
• Strong understanding of lab biomarker data, including the processing, interpretation, and analysis of clinical or laboratory biomarkers
• Knowledge of high-throughput data analysis, such as genomics, lab testing, or biomarkers focused data
• Strong experience with clinical data analysis, particularly in the context of treatment regimens and patient outcomes.
• Proven experience in data analysis and querying: Strong proficiency in SQL and other data querying languages to extract, manipulate, and analyze data from large healthcare databases.
• Strong technical skills: Familiarity with database management systems (e.g., MySQL, Oracle, SQL Server) and data analysis tools (e.g., Excel, Python, R).
• Experience with healthcare data: Understanding of healthcare terminologies, data structures (ICD codes, CPT codes, claims data), and healthcare-specific regulations like HIPAA.
• Ability to work independently: Comfortable working autonomously with minimal supervision during off-hours, ensuring tasks are completed within deadlines.
• Time zone flexibility: Ability to align with off-hours or late-night shifts based on business needs and provide consistent results during non-standard working hours.
• Problem-solving skills: Capable of identifying issues in data, database queries, or processes and troubleshooting them independently.
• Data visualization expertise: Familiarity with data visualization tools (e.g., Tableau, Power BI) to present insights effectively.
• Effective communication skills: Ability to clearly document findings and communicate insights via email, reports, or presentations, often during non-business hours.
• Adaptability and flexibility: Ability to adjust to evolving data needs and shifting priorities, especially when working during off-hours.
• Experience with automation tools: Familiarity with automation scripts or tools to streamline repetitive tasks and queries would be a plus.
• Proactive mindset: Ability to anticipate issues and take initiative to resolve them without waiting for direction, especially during off-hours.
• Collaboration and reporting skills: Ability to collaborate effectively with onshore teams in different time zones and provide clear, actionable insights to stakeholders.
Education:
• Master’s (3+ years) in a technical field (e.g. biostatistics, health economics, epidemiology, engineering) or Bachelors (5+ years) and outstanding industry experience (in outcomes research, health economics, epidemiology, consulting for life sciences companies, or academic institutions)
unites market-leading companies that all have a shared goal of improving patient access. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, we help our clients:
• Accelerate the drug development cycle
• Bring the right drugs to market
• Identify barriers to patient access
• Turn data into insights faster
• Think strategically for specialty therapeutics
By combining the efforts of each organization under, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. Qualifications and Required Skills
• Experience designing healthcare analytic studies, structuring analysis ready datasets, choosing proper analytical methods, and employing appropriate visualization depending on project needs.
• Strong understanding of lab biomarker data, including the processing, interpretation, and analysis of clinical or laboratory biomarkers
• Knowledge of high-throughput data analysis, such as genomics, lab testing, or biomarkers focused data
• Strong experience with clinical data analysis, particularly in the context of treatment regimens and patient outcomes.
• Proven experience in data analysis and querying: Strong proficiency in SQL and other data querying languages to extract, manipulate, and analyze data from large healthcare databases.
• Strong technical skills: Familiarity with database management systems (e.g., MySQL, Oracle, SQL Server) and data analysis tools (e.g., Excel, Python, R).
• Experience with healthcare data: Understanding of healthcare terminologies, data structures (ICD codes, CPT codes, claims data), and healthcare-specific regulations like HIPAA.
• Ability to work independently: Comfortable working autonomously with minimal supervision during off-hours, ensuring tasks are completed within deadlines.
• Time zone flexibility: Ability to align with off-hours or late-night shifts based on business needs and provide consistent results during non-standard working hours.
• Problem-solving skills: Capable of identifying issues in data, database queries, or processes and troubleshooting them independently.
• Data visualization expertise: Familiarity with data visualization tools (e.g., Tableau, Power BI) to present insights effectively.
• Effective communication skills: Ability to clearly document findings and communicate insights via email, reports, or presentations, often during non-business hours.
• Adaptability and flexibility: Ability to adjust to evolving data needs and shifting priorities, especially when working during off-hours.
• Experience with automation tools: Familiarity with automation scripts or tools to streamline repetitive tasks and queries would be a plus.
• Proactive mindset: Ability to anticipate issues and take initiative to resolve them without waiting for direction, especially during off-hours.
• Collaboration and reporting skills: Ability to collaborate effectively with onshore teams in different time zones and provide clear, actionable insights to stakeholders.
Education:
• Master’s (3+ years) in a technical field (e.g. biostatistics, health economics, epidemiology, engineering) or Bachelors (5+ years) and outstanding industry experience (in outcomes research, health economics, epidemiology, consulting for life sciences companies, or academic institutions)