We’re looking for a talented, motivated and innovative individual to become a part of our Product Deployment and Technology as a Data Quality Control Lead. Our ideal candidate is looking to take the next step in their career, combining their technical skills, analytical mindset and appetite for learning to produce a variety of solutions for our clients. The Data Quality Control Lead is an integral member of the team, focusing on a variety of client projects Trinity’s Analytical and Data Solutions.

The Data Quality Control Lead will also be a key contributor to enhancing our next-generation Integrated Data Solutions, which include DDS Terra, DDS Iris, and MDM. The Data Quality Control Lead should possess excellent communication and teamwork skills as they will collaborate with various team members on establishing requirements, designing, developing and analyzing solutions for large, complex data sets in the life sciences industry. These data sets are used across the organization for analytical purposes. As part of a growing team and company.

As the lead for Data Engineering at TRINITY, you will play a pivotal role in shaping our data infrastructure, managing a team of skilled data engineers, and enabling us to harness the power of data to fuel our growth and innovation. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and scalability of our data systems.

Key Responsibilities:
 

• Data Quality Assurance: Ensure the quality, accuracy, and consistency of data by developing and implementing data quality standards, policies, and procedures.
• Quality Control Processes: Design, develop, and maintain data quality control processes and workflows to identify and rectify data discrepancies, anomalies, and errors.
• Data Profiling: Perform data profiling and analysis to identify data quality issues and root causes, and initiate corrective actions.
• Data Cleansing and Enrichment: Lead efforts to cleanse and enrich data sets, including deduplication, standardization, and data augmentation where necessary.
• Data Validation: Develop and execute data validation tests and checks to verify data accuracy and completeness.
• Documentation: Maintain comprehensive documentation of data quality processes, procedures, and issue resolutions.
• Collaboration: Collaborate with cross-functional teams to define data quality requirements and ensure alignment with business needs.
• Training and Awareness: Provide training and awareness programs to educate stakeholders on the importance of data quality and their role in maintaining it.
• Monitoring and Reporting: Implement monitoring and reporting systems to track data quality metrics, issues, and improvements. Present findings to senior management as needed.
• Continuous Improvement: Continuously assess and improve data quality processes and strategies to adapt to evolving data needs and technologies.
• Database design and development
• Data analysis as required for client project support
• Design, develop, and implement ETL processes
• Actively participate and contribute to the continual improvement of best practices
• Collaborate with internal team members to ensure client project needs are met
• Explore industry data sources
• Explore and implement analytical packages
• Explore database technologies and trends

Qualifications

• Bachelor’s degree in a relevant field (e.g., Data Science, Information Management, Computer Science, or a related discipline).
• Proven experience in data quality control, data management, or a related role.
• Strong understanding of data quality best practices, data profiling, and data cleansing techniques.
• Proficiency in data quality tools and software (e.g., data profiling tools, data quality management platforms).
• Exceptional data analysis skills and a keen eye for detail.
• Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Strong project management and organizational skills.
• Knowledge of data governance principles and best practices.
• Experience with data validation, data cleaning, and data enrichment processes.
• Problem-solving skills and a proactive approach to identifying and resolving data quality issues.
• Knowledge of relevant data quality standards and regulations.
   

About Us

Trinity Life Sciences is a trusted strategic commercialization partner, providing evidence-based solutions for the life sciences. With 25 years of experience, Trinity is committed to revolutionizing the commercial model by providing exceptional levels of service, powerful tools and data-driven insights. Trinity’s range of products and solutions includes industry-leading benchmarking solutions, powered by TGaS Advisors. To learn more about how Trinity is elevating life sciences and driving evidence to action, visit trinitylifesciences.com.

Trinity’s salary bands account for a wide range of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills; level of experience and training; specific qualifications, performance, time in role/company, geographic location, and other business and organizational needs. A reasonable estimate of the current range is $130,000 – $150,000. In addition to your base salary, you will also be eligible for an annual discretionary performance bonus.

Trinity’s Commitment to Diversity, Equity & Inclusion

Trinity Life Sciences is an Equal Opportunity Employer that prohibits discrimination and harassment of any kind. Trinity is committed to the principles of diversity, equity, and inclusion and to providing employees with a work environment that is free of discrimination and harassment. All employment decisions at Trinity are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, disability, ethnicity, gender identity or expression, family, parental, or veteran status, and/or any other status based on identity or that is protected by the laws or regulations in the locations where we operate. Trinity will not tolerate any form of discrimination or harassment and encourages applicants of all ages and identities.