Data Analyst, Sr. (Clinical)
Sundayy · United States
- Hybrid
- Full-time
- $145,000 / year
- United States
Job highlights
- Design and maintain clinical data systems for trials.
- Program SAS for data validation and ETL processes.
- Develop ETL/ELT pipelines for structured data.
- Collaborate on AI/ML model development.
- Work remotely with competitive pay and benefits.
About the role
About The Company
Actalent is a global leader in engineering, sciences, and digital solutions, dedicated to connecting talented professionals with innovative organizations to solve complex challenges. Committed to fostering diversity and inclusion, Actalent provides a dynamic work environment that promotes continuous learning and professional growth. With a focus on advancing healthcare and life sciences, the company partners with industry leaders to drive impactful research and development initiatives, ensuring that cutting-edge solutions are accessible to improve patient outcomes and scientific discovery.
About The Role
The Clinical Data Analyst at Actalent plays a pivotal role in designing, building, and maintaining clinical data systems that underpin high-quality clinical trials and advanced analytics. This position involves developing study-specific documentation, programming SAS-based data validations, and creating efficient ETL/ELT workflows to manage both structured and unstructured data. The analyst collaborates closely with biostatistics, data science, and other stakeholders to ensure data integrity, security, and quality throughout the data lifecycle. Additionally, this role supports the development, validation, and deployment of AI/ML models by providing robust data infrastructure and insights. The ideal candidate will have a strong background in SAS programming, database management, and data visualization tools, enabling seamless integration and analysis of complex datasets to facilitate innovative healthcare solutions.
Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Statistics, Informatics, Information Systems, or a related quantitative field; an advanced degree is preferred.
- Proficiency in SAS programming, including SAS Base and related components used for data management, analysis, and reporting.
- Strong experience developing and executing SAS edit checks and macros for clinical trial data.
- Hands-on experience designing and implementing ETL/ELT pipelines for structured and unstructured data.
- Practical database administration skills, including managing data sources and troubleshooting data issues.
- Advanced SQL knowledge and experience working with relational databases.
- Experience working with REST APIs, including establishing and managing Web REST API connections.
- Familiarity with SDLC and experience in coding, testing, and designing data solutions.
- Experience with data visualization tools such as Power BI and R Shiny.
- Exposure to AI/ML concepts and supporting AI/ML model pipelines.
- Knowledge of R, HTML, JavaScript, and other scripting languages used in data analysis and presentation.
- Excellent analytical, problem-solving, and communication skills.
Responsibilities
- Develop study-specific annotated case report forms (CRFs), database documentation, edit check specifications, data handling conventions, and data entry instructions to support clinical trials.
- Program SAS edit checks and macros for data validation, ETL processes, statistical analyses, and report generation.
- Design and develop robust ETL/ELT pipelines for structured and unstructured data to ensure efficient data ingestion, transformation, and loading.
- Manage structured and unstructured data sources, identify root causes of data issues, and implement timely resolutions.
- Conduct data automation tasks, including software development, testing, and validation, to streamline workflows.
- Utilize tools such as Power BI, R, HTML, JavaScript, and REST APIs for data extraction, visualization, and reporting purposes.
- Collaborate with biostatistics, data science, and analytics teams to support AI/ML model development, validation, and deployment.
- Build and optimize data systems for performance, scalability, and reliability across various platforms.
- Ensure data quality, integrity, and security throughout the entire data lifecycle.
- Apply SDLC principles to design, code, test, and maintain data-related applications and tools.
- Develop comprehensive documentation for data architecture, workflows, and processes to facilitate transparency and reproducibility.
- Establish and maintain REST API connections to integrate external data sources and automate data workflows.
- Perform data entry and management tasks as required to support clinical trial operations and reporting.
Benefits
- Competitive hourly pay rate between $64.00 and $70.00 per hour.
- Comprehensive medical, dental, and vision coverage.
- Access to critical illness, accident, and hospital insurance plans.
- Retirement savings options including pre-tax and Roth post-tax 401(k) plans.
- Voluntary life insurance and AD&D coverage for employees and dependents.
- Short-term and long-term disability benefits.
- Health Savings Account (HSA) for medical expenses.
- Transportation benefits to support commuting needs.
- Employee Assistance Program to promote well-being and mental health.
- Paid time off, including PTO, vacation, and sick leave.
- Fully remote work environment providing flexibility and work-life balance.
Equal Opportunity
Actalent is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, age, religion, disability, sexual orientation, or any other protected characteristic. Our hiring practices are designed to ensure fairness and equal opportunity for all qualified candidates.
Key skills/competency
- Clinical Data Analysis
- SAS Programming
- ETL/ELT Pipeline Development
- Database Management
- SQL
- REST APIs
- SDLC
- Data Visualization (Power BI, R Shiny)
- AI/ML Support
- Data Integrity and Quality
Skills & topics
- Clinical Data Analyst
- Data Analysis
- SAS Programming
- ETL
- ELT
- SQL
- API
- Data Management
- Data Visualization
- Clinical Trials
- Healthcare Analytics
- Biostatistics
- Data Science
- AI
- ML
- Remote
- Actalent
How to get hired
- Tailor your resume: Highlight SAS programming, ETL/ELT, SQL, and API experience.
- Showcase clinical trial expertise: Emphasize experience with CRFs, edit checks, and data integrity.
- Quantify achievements: Use numbers to demonstrate impact on data quality and efficiency.
- Prepare for technical interviews: Brush up on SAS, SQL, API concepts, and data visualization.
- Demonstrate problem-solving: Be ready to discuss complex data challenges you've resolved.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the hourly pay rate for a Clinical Data Analyst at Actalent?
- The hourly pay rate for a Clinical Data Analyst at Actalent ranges between $64.00 and $70.00 per hour, offering competitive compensation for this role.
- Is the Clinical Data Analyst position remote?
- Yes, this Clinical Data Analyst position is fully remote, offering flexibility and work-life balance.
- What are the primary responsibilities of a Clinical Data Analyst at Actalent?
- Key responsibilities include designing and maintaining clinical data systems, programming SAS for data validation and ETL, developing ETL/ELT pipelines, collaborating on AI/ML model development, and ensuring data quality and integrity.
- What technical skills are most important for this Clinical Data Analyst role?
- Proficiency in SAS programming, ETL/ELT pipeline development, SQL, REST APIs, and data visualization tools like Power BI and R Shiny are crucial for this role.
- Does Actalent offer comprehensive benefits for this role?
- Yes, Actalent offers a comprehensive benefits package including medical, dental, vision coverage, retirement savings options, disability benefits, and paid time off.
- What is Actalent's stance on diversity and inclusion for this Clinical Data Analyst position?
- Actalent is committed to fostering an inclusive and diverse workplace and welcomes applications from individuals of all backgrounds, ensuring fairness and equal opportunity.
- What kind of education is required for the Clinical Data Analyst role?
- A Bachelor’s degree in a quantitative field like Computer Science, Data Science, Statistics, or Informatics is required, with an advanced degree being preferred.
- How does Actalent support professional growth for its employees?
- Actalent provides a dynamic work environment that promotes continuous learning and professional growth, connecting talented professionals with innovative organizations.