CLINICAL DATA ANALYST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

The Clinical Data Analyst possesses a deep understanding of clinical research, augmented by direct experience with clinical trials and electronic data collection. Expertise in biostatistical programming, data analysis, and visualization is complemented by robust programming skills in Python and SQL. This role demands strong project management capabilities and meticulous attention to detail, ensuring precise interpretation and effective communication of complex, heterogeneous datasets.

Essential Hard and Soft Skills for a Standout Clinical Data Analyst Resume
  • Biostatistical Programming
  • Clinical Data Management
  • Python Programming
  • SQL Database Management
  • Data Visualization
  • Electronic Data Capture Design
  • MS Office Proficiency
  • Flow-charting
  • Algorithm Development
  • Large Dataset Analysis
  • Attention to Detail
  • Effective Communication
  • Critical Thinking
  • Problem-solving
  • Project Management
  • Adaptability
  • Collaborative Teamwork
  • Time Management
  • Ethical Judgement
  • Continuous Learning

Summary of Clinical Data Analyst Knowledge and Qualifications on Resume

1. BA in Biostatistics with 3 years of Experience

  • Medium to Advanced SAS programming skills.
  • Demonstrated ability to use relational databases for the purpose of generating ad hoc reports.
  • The ability to work well in a team setting with individuals having professional backgrounds in the technical and/or clinical fields.
  • Must demonstrate the ability to work independently and seek solutions proactively.
  • Able to apply critical thinking in evaluating priorities/solutions.
  • Advanced knowledge of statistical tools and methods.
  • Proven knowledge of Python data analytics libraries (pandas, numpy).
  • Hands-on data visualization experience with BI tools.
  • Basic understanding of software development cycle and workflow.
  • Arranged, thorough, and team player.

2. BS in Computer Science with 4 years of Experience

  • Proficient in clinical research and basic medical writing
  • Intermediate skills in MS Office applications, data visualization, and flow-charting
  • Solid project management skills with an acute attention to detail
  • Solid ability to interpret data and communicate effectively with others
  • Direct industry clinical trial experience with an understanding of study data sources and structure
  • Experience in clinical trials electronic data collection (EDC) design, clinical data management, biostatistical programming 
  • Experience in analysis, modeling and visualization of large complex, and heterogeneous datasets.
  • Strong understanding of algorithms and scalability
  • Strong programming skills in Python
  • Strong understanding of relational databases and SQL

3. BS in Health Informatics with 2 years of Experience

  • Experience in hands-on SAS, STATA, SQL, or other statistical programming work experience or demonstrated equivalent combination of education and experience.
  • Experience with health-related analytic research and quality improvement methodology 
  • Fluency in SAS, STATA, SQL, Tableau, or other statistical programming software and MS Office.
  • Ability to work independently and in teams.
  • Knowledge of statistical or epidemiological methodologies, and automation techniques for analytic tasks.
  • Ability to work with highly sensitive information while preserving the confidentiality of the information.
  • Working knowledge of health systems, Medicare/Medicaid preferred, healthcare databases and coding systems.
  • Strong oral and written communication skills.
  • Able to perform a variety of tasks requiring independent thought and research. 
  • Registered nursing experience and clinical Informatics experience

4. BA in Data Science with 5 years of Experience

  • Experience in the field of business intelligence, application development, database development and ETL and/or data analysis domains with strong Hadoop, Hive and/or Spark knowledge
  • Direct experience with healthcare claims and/or encounter level data
  • Experience in exposure to electronic health records, open source/publicly available healthcare data sets
  • Hands-on coding and application experience with Python, SQL, Java, or equivalent
  • Demonstrated willingness and ability to engage with teams and collectively solve complex problems
  • Excellent time management skills, ability to manage estimated workload according to scope
  • Comfortable with ambiguity and rapid changes common in early-stage product development
  • Strong written and verbal communication skills in English
  • Expertise in healthcare delivery systems and performance improvement 
  • Ability to collaborate in a team environment and produce positive outcomes.

5. BS in Clinical Research with 3 years of Experience

  • Experience in network data management in a managed care environment, provider data analysis, claims processing, and medical coding
  • Experience in clinical research data management and knowledge of tools (e.g. EDC) 
  • Experience in database structures and available tools to manage, extract, and report data
  • Experience in generation of insights from analyzed data as we are looking for people that analyzes data and further put significant focus on understanding the business and operational implications of the analyzed data
  • Preferably familiar with how cancer is treated, from diagnosis to recovery, and is fluent in cancer terminology
  • Knowledge of statistical concepts
  • Exceptional attention to detail and significant focus on delivering high quality work products
  • Exceptional communication skills (oral and written), with the ability to communicate with both the technical and business areas
  • Advanced knowledge of MS Excel, MS Access, and SQL

6. BA in Public Health with 4 years of Experience

  • Experience in relevant area of data processing and analysis.
  • Expertise with Unix/Linux systems, shell scripting, C/C++ programming, Python/Perl and other
  • Experience with building, installing, configuring and supporting a wide range of commercial, opensource
  • Experience with in-house developed scientific applications such as: Matlab, R, SAS, STATA, and MySQL.
  • Proficient in large dataset analysis in a related scientific discipline such as biology, biomedical, Pharma, or clinical research.
  • Ability to rapidly solve problems in a resourceful and data-driven manner, while working in a fast-paced and very demanding start-up environment
  • Ability to be flexible, multi-task, and work independently
  • Extreme self-starter, hungry to learn with a strong desire to lead and grow
  • Excellent communication skills and evidence of collaborative practice. 
  • Proficient in Qlik and SQL

7. BS in Applied Mathematics with 2 years of Experience

  • Excellent analytical and reasoning skills, and advanced problem solving capabilities
  • Ability to communicate thoughts in a clear, concise and disciplined manner
  • Experience in healthcare analytics 
  • Experience in clinical monitoring experience (global experience preferred) including experience extracting knowledge and insight from data (data mining) in any scientific or technology field
  • General knowledge of ICH/GCP regulations as well as of FDA Guidance Documents/EU Directives/ICH GCP/device development, and clinical monitoring procedures
  • Strong knowledge of web-based communication tools
  • Fluent verbal and written English as well as the local language(s) if required for clinical trial submissions
  • Proven track record of successful delivery, including effective management and understanding of data, and accountability for quality and timelines
  • Ability to multitask and work effectively in a fast-paced environment with changing priorities
  • Strong verbal and written communication and negotiation skills and confidence to act on own initiative
Relevant Information
Clinical Data Analyst Skills, Experience, and Job Requirements