Clinical Data Analyst

Vintti is a staffing agency with a unique mission: to create win-win scenarios for both US businesses and Latin American professionals. We address the challenges faced by SMBs, startups, and firms in finding the right talent, as well as the aspirations of skilled Latin American workers seeking international opportunities. By bridging this gap, Vintti enables US companies to access a wealth of untapped talent, while providing Latin American professionals with pathways to expand their careers on a global scale. Our approach cultivates a symbiotic ecosystem that benefits all parties involved.

A Clinical Data Analyst plays a crucial role in the healthcare industry by managing and analyzing clinical data to improve patient outcomes and streamline medical processes. Utilizing advanced statistical tools and software, they interpret complex datasets to identify trends, generate insights, and support clinical decision-making. Their responsibilities also include ensuring data accuracy, maintaining compliance with regulatory standards, and collaborating with medical professionals to optimize clinical research and operations. By transforming raw data into actionable information, Clinical Data Analysts contribute significantly to advancing medical research and enhancing the quality of healthcare services.

- Bachelor’s degree in biostatistics, epidemiology, public health, computer science, or a related field
- Minimum 2-3 years of experience in clinical data analysis or a similar role
- Proficiency in data analysis tools such as SQL, R, SAS, or Python
- Advanced Excel skills, including pivot tables, VLOOKUP, and advanced formulas
- Strong understanding of clinical trial processes and data management best practices
- Experience with electronic data capture (EDC) systems and clinical databases
- Familiarity with regulatory requirements such as FDA, HIPAA, and GCP
- Excellent analytical and problem-solving skills
- Strong attention to detail and accuracy in data processing
- Ability to organize and manage large datasets efficiently
- Effective communication skills, both written and verbal
- Ability to create detailed reports, charts, and visualizations
- Experience performing statistical analyses and interpreting results
- Knowledge of data privacy and security standards
- Skilled in data validation and quality assurance processes
- Ability to train and support staff in using data collection and analysis tools
- Familiarity with database management systems and data warehousing
- Strong project management and organizational skills
- Ability to work collaboratively with cross-functional teams
- Experience presenting data findings to non-technical stakeholders
- Adaptability and willingness to learn new tools and technologies
- Certification in clinical data management or related area (preferred)
- Experience with data for clinical trials, including patient enrollment tracking (preferred)

- Collect and input clinical data from various sources.
- Clean and organize large datasets.
- Perform statistical analyses to identify trends and patterns.
- Prepare reports, charts, and graphs for stakeholder presentation.
- Collaborate with clinical teams to understand data needs.
- Develop and maintain databases and data collection systems.
- Ensure regulatory compliance and data privacy.
- Design and execute data validation procedures.
- Conduct quality control checks on team-entered data.
- Support clinical trial data management, including patient tracking.
- Create and maintain documentation of data analysis processes.
- Troubleshoot and resolve data issues during analysis.
- Assist in developing and implementing data management plans.
- Provide training and support for data tools to staff.
- Communicate data findings through presentations.
- Utilize advanced Excel, SQL, or other analysis tools.
- Monitor and suggest improvements for data collection processes.
- Participate in cross-functional project meetings.
- Prepare data for publication or conference presentation.
- Ensure up-to-date data collection methods following industry standards.

The ideal candidate for the Clinical Data Analyst role is a highly analytical professional with a Bachelor’s degree in biostatistics, epidemiology, public health, computer science, or a related field, complemented by 2-3 years of experience in clinical data analysis or similar roles. They possess a strong proficiency in data analysis tools such as SQL, R, SAS, or Python, coupled with advanced Excel skills for sophisticated data manipulation and reporting. Their deep understanding of clinical trial processes, electronic data capture systems, and regulatory requirements like FDA, HIPAA, and GCP ensures rigorous data compliance and management. Boasting excellent analytical and problem-solving capabilities, they excel at organizing and managing large datasets with meticulous attention to detail and accuracy. This candidate is adept at performing statistical analyses, creating detailed reports, and presenting findings effectively to non-technical stakeholders, demonstrating excellent communication skills. They bring a robust familiarity with database management systems, data warehousing, and the latest industry standards for data collection and privacy. Strong project management, organizational skills, and an ability to work collaboratively with cross-functional teams are essential, along with a proactive approach to learning and implementing new tools and technologies. Committed to maintaining high standards in data validation and quality assurance, they also have experience training and supporting staff in data collection and analysis tools. Certification in clinical data management or a related area is preferred, along with specific experience in clinical trial data management and patient enrollment tracking.

- Collect and input clinical data from various sources into databases.
- Clean and organize large datasets to ensure accuracy and completeness.
- Perform statistical analyses on clinical datasets to identify trends and patterns.
- Prepare reports, charts, and graphs to present data findings to stakeholders.
- Collaborate with clinical teams to understand their data needs and provide relevant insights.
- Develop and maintain databases and data collection systems.
- Ensure compliance with regulatory requirements and data privacy standards.
- Design and execute data validation procedures to ensure data integrity.
- Conduct quality control checks on data entered by other team members.
- Support clinical trial data management by tracking patient enrollment and outcomes.
- Create and maintain documentation of data analysis processes and methodologies.
- Troubleshoot and resolve data issues that arise during analysis.
- Assist in the development and implementation of data management plans.
- Provide training and support to staff on data collection and analysis tools.
- Communicate data findings and insights to management and clinical staff through presentations.
- Utilize advanced Excel skills, SQL, or other data analysis tools for data manipulation and reporting.
- Monitor and evaluate data collection processes and suggest improvements.
- Participate in cross-functional meetings to discuss project progress and data needs.
- Assist with the preparation of data for publication or presentation at conferences.
- Ensure data collection methods are up-to-date and incorporate the latest industry standards.

- Analytical mindset with strong problem-solving abilities
- Detail-oriented with a high level of accuracy in data processing
- Strong organizational skills and ability to manage large datasets
- Excellent communication skills, both written and verbal
- Ability to work collaboratively with clinical and cross-functional teams
- Proficiency in data analysis tools such as SQL, R, SAS, or Python
- Advanced Excel skills for data manipulation and reporting
- Solid understanding of clinical trial processes and data management best practices
- Familiarity with regulatory requirements (FDA, HIPAA, GCP)
- Experience with electronic data capture (EDC) systems and clinical databases
- Strong project management capabilities
- Ability to present complex data findings to non-technical stakeholders effectively
- Adaptability and eagerness to learn new tools and technologies
- Commitment to data privacy and security standards
- Skilled in data validation and quality assurance processes
- Ability to train and support team members in data tools and methods
- Experience performing statistical analyses and interpreting results
- Self-motivated with a proactive approach to identifying improvements
- Ability to prioritize tasks and meet deadlines in a fast-paced environment
- Certification in clinical data management or related area (preferred)

- Competitive salary range: $70,000 - $90,000 annually
- Comprehensive health, dental, and vision insurance
- 401(k) retirement plan with company match
- Paid time off (PTO) and holidays
- Flexible work schedule and remote work opportunities
- Career development and training programs
- Tuition reimbursement for advanced education
- Employee assistance program (EAP)
- Life and disability insurance coverage
- Wellness programs and fitness reimbursements
- Opportunities for professional growth and advancement
- Collaborative and supportive work environment
- Employee recognition and reward programs
- Access to cutting-edge data analysis tools and technologies
- Paid parental leave
- Company-sponsored events and team-building activities