Programmer Analyst II
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Job Description
Programmer Analyst leading SAS and statistical programming for Thermo Fisher Scientific’s clinical-trial projects. Overseeing study delivery, regulatory submissions, budgets, and junior-team development.
Responsibilities:
- Serve as lead programmer, project lead, or project oversight lead on studies and drug programs
- Oversee statistical and bioinformatics programming from clinical trial design through analysis and reporting
- Organize teams and implement study strategies for process and programming efficiencies
- Create and maintain programs for statistical report generation and validation
- Work with project team leaders and client representatives on meetings, timelines, resource forecasting, budgets, and contractual obligations
- Plan and contribute to tools and techniques that improve process efficiencies
- Represent the department to clients on study matters, bid defenses, and regulatory submissions or reviews
- Serve as company project manager on biometrics-only projects when applicable
- Provide infrastructure support, conference representation, presentations, training materials, policies, and process improvement
- Develop self and junior team members through training, guidance, coaching, and mentoring
- Provide employee performance feedback for development, reviews, and training
- Encourage industry publications and conference presentations
- Contribute to recruitment and candidate interviews
Requirements:
- MS/MA degree in computer science, statistics, biostatistics, mathematics or related field and at least 6 years of experience, or Bachelor's degree in a related field or equivalent and at least 8 years of experience
- An equivalency consisting of appropriate education, training and/or directly related experience may be considered
- Strong SAS® programming skills
- Understanding of database structures and complex data structures
- Excellent written and verbal communication skills, including proficiency in English
- Ability to organize and adapt across multiple assignments and changing priorities
- Ability to work and lead in a multidisciplinary team setting
- Coaching and mentoring capability
- Understanding of clinical trials, ICH Statistical and reporting guidelines, and GCP
- Knowledge of statistical principles applied to clinical trial design and analysis
- Understanding of clinical data submission requirements to regulatory authorities
- Project management skills, including project budget creation, updates, and risk management
- Ability to interpret and contribute to company policies
- Delivery and quality driven
Benefits:
- Collaboration and development opportunities
- Global team environment
- Scientific excellence-focused work environment
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