Clinical Data Manager II — Trials & Data Quality

Frontier Science; Town of Amherst (NY); On-site; USD 44,000 - 53,000; Full time

Job summary

Frontier Science in Amherst, NY is seeking a Data Manager II – Level 1 to provide data management support for clinical trials and related research projects. This role emphasizes study setup, data collection design, and timely data submission.

You will perform routine quality control, write data queries, and help ensure data integrity. Strong communication, organization, and interpersonal skills are essential for collaboration with study teams.

Qualifications

• Experience with data management concepts in clinical research.
• Ability to design data collection instruments and data submission schedules.
• Strong written and spoken communication skills.
• Excellent organizational and prioritization abilities.
• 0-1 years of relevant experience.

Responsibilities

• Assigned as the data manager for one or more studies.
• Provides input during protocol development, focusing on data collection and recording processes.
• Participates in study set up activities, including designing data collection instruments and data submission schedules.
• Performs routine quality control and evaluation of clinical data.
• Writes data queries and tracks resolution in the database.
• Involved in defining data integrity checks.
• Routinely reviews report output and communicates with the study team.
• Involved in review of data management policies and procedures.
• Participates in conference calls and meetings as needed.
• Other duties as needed.

Skills

PC proficiency

Database concepts

Effective communication

Organizational skills

Interpersonal skills

Attention to detail

Job description

Frontier Science in Amherst, NY is seeking a Data Manager II – Level 1 to provide data management support for clinical trials and related research projects. This role emphasizes study setup, data collection design, and timely data submission.

You will perform routine quality control, write data queries, and help ensure data integrity. Strong communication, organization, and interpersonal skills are essential for collaboration with study teams.