Clinical Data Analyst

Bayside Solutions; Fremont (CA); Hybrid; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a detail-oriented Clinical Data Programmer with extensive experience in oncology clinical trials. This hybrid role involves collaborating with cross-functional teams to ensure data integrity and compliance with regulatory standards. You will be responsible for developing and implementing SAS programming standards, troubleshooting data issues, and contributing to the creation of custom reports. The ideal candidate will have a strong background in clinical data programming, effective communication skills, and a commitment to continuous improvement. Join a dynamic team where your expertise will make a significant impact on clinical research and patient outcomes.

Qualifications

• 7+ years in oncology clinical trials with strong SAS programming skills.
• Experience in data integrity and effective communication is essential.

Responsibilities

• Collaborate with teams to ensure data integrity and compliance.
• Create and review data transfer programs and specifications.

Skills

Clinical data programming

Oncology experience

SAS programming

Data integrity

Effective communication skills

Troubleshooting

Multi-tasking

Continuous learning

Education

MS or BS/BA degree

Tools

SAS

Business Objects

Crystal Reports

Medidata Rave Study Build

Spotfire

Tableau

PowerBI

Windows batch scripting

Python

Job description

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Location: Redwood City, CA - Hybrid Role

Duties and Responsibilities:

• Collaborate with data managers, statistical programmers, biostatistics, clinical operations, and external vendors to review, sign off on data transfer specifications, and transfer data from external sources, ensuring data is received and validated for data integrity.
• Create or update data transfer programs, run them based on the timeline, and check against data transfer specifications.
• Review the data transfer specifications from vendors with variable lists and attributes.
• Follow Clinical Data Programming guidelines and best practices for SAS programming.
• Monitor automated jobs and their logs.
• Run DRLs and SHMs based on the timelines.
• Peer review Data Review Listings and Reconciliation reports.
• Use sFTP/FTP clients or vendor portals to download and post the data to a repository.
• Create new DRLs or study level Data Review Listings or reconciliation programs.
• Support and guide Clinical Data Programmers and team members.
• Participate in developing and implementing SAS programming standards, SOPs, and work instructions, including program validation and documentation.
• Work with data managers and generate outputs to support data cleaning, enhance data integrity, and ensure timely, targeted, and accurate deliverables.
• Address data issues identified by cross-functional team members.
• Contribute to the development of SAS macro programs and modify existing SAS macro programs to improve efficiency throughout the project life cycle.

Requirements and Qualifications:

• MS, BS/BA degree or other suitable qualification
• 7+ years of work experience in Phases I, II, and III oncology clinical trial studies
• At least 5 years of oncology experience
• Experience with custom reporting using Business Objects, SAS, Crystal Reports, and an understanding of Medidata Rave Study Build is required.
• Demonstrated ability to multi-task, prioritize options, anticipate challenges, and execute goals as a member of an interdisciplinary team
• Adaptive learner, initiative-taker, effective troubleshooter, and good at resolving data issues, committed to continuous learning and improvement
• Effective written and oral communication skills
• Work experience using CRF-Annotation, FDA regulations such as CDISC, 21 CFR Part 11, ICH, GCP guidelines, and other regulatory submissions to the NDA.
• A SAS certification and work experience in Spotfire, Tableau, or PowerBI and Windows batch scripting is preferred.
• Python programming experience is a plus.

Desired Skills and Experience: Clinical data programming, clinical trial studies, oncology, Business Objects, SAS, Crystal Reports, Medidata Rave Study Build, CRF-Annotation, FDA regulation, ICH guidelines, GCP guidelines, Spotfire, Tableau, PowerBI, Windows batch, Python.

Seniority level: Mid-Senior level

Employment type: Contract

Job function: Analyst, Information Technology, and Science