Senior Statistical Programmer
- Hiring from
- France
- Work type
- Remote
- Posted
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Join our global team dedicated to innovation and initiative, where physical walls and different time zones don’t limit, but encourage, collaboration. Where all contributions and new ideas are explored with an open mind and work is driven by our shared values: be courageous, be accountable, be honest, be inclusive and elevate others.
Job Description Summary
Job Description
ROLE
The Senior Statistical Programmer will support or lead statistical programming activities conducted on client clinical projects, producing high quality deliverables to agreed timelines following relevant standard operating procedures. The senior statistical programmer will also support in deploying resources effectively on projects.
KEY RESPONSABILITIES
Act as support statistical programmer on clinical projects
Act as lead statistical programmer on clinical projects
Specify, program and validate CDISC SDTM and ADaM datasets
Specify, program and validate the statistical analysis results including analysis datasets, tables, listings and figures
Produce and review CDISC documentation
Create and validate randomization lists
Ensure compliance to SOPs
Report deviations, KPIs, customer complaints and managing CAPAs
Provide supervision on tasks carried out by statistical programmers
Provide guidance to programming team members on procedures and technical standards
Prepare and perform internal or external training on statistical programming techniques
Identify, implement and develop new techniques, solutions, tools and products
Identify areas for efficiency or process improvement
Lead internal initiatives to improve department processes
Communicate effectively with internal and external project teams
Report issues to Project Manager/Associate Director in an appropriate timeframe
Support Quality Assurance in internal audits
Conduct other statistical programming related activities as required
DESIRED QUALIFICATION & EXPERIENCE
BSc/MSc or equivalent with experience, preferably in Statistics, Computer Science, or Mathematics
At least 3 years of experience in statistical programming
Excellent SAS programming skills
Knowledge of R language is a plus
Very good knowledge of principles and techniques for clinical research
Good English communication
Good knowledge of MS Office Suite
TECHNICAL COMPETENCES & SOFT SKILLS
Trustworthy
Ability to effectively prioritize
Ability to lead teams and delegate tasks
Quality focused
Willingness to learn
Team player
Problem solving skills
Analytical thinking
Innovative
Languages
EnglishEducation
Bachelor of Science (BS): Computer and Information Science, Bachelor of Science (BS): Mathematics, Bachelor of Science (BS): StatisticsContract Type
Contingency WorkforceSalary Range
The final offer will be determined within the applicable location-specific range and will depend on the candidate’s confirmed work location, relevant experience, skills, qualifications, internal equity, and role scope.
About Us
Alira Health is a global advisory firm providing consulting and research and clinical development services whose mission is to humanize healthcare and life sciences, in partnership with patients, through innovative technologies and expert guidance. From development to medical care, we complement the expertise of our Pharma, Biotech, and MedTech clients with a full spectrum of services across their entire solutions lifecycle.
Why Work at Alira Health?
With offices around the world, Alira Health provides a vibrant and creative environment with benefits that include professional development, global travel, flexible work programs and more. We welcome your passion and drive, talent and entrepreneurial spirit, sense of service and teamwork.
Join Our Team
We are an integrated team of over 800 scientists, strategists, economists, clinicians, and biostatisticians representing over 30 nationalities. This broad global perspective and cultural richness has a direct impact on providing innovative solutions for our clients that lead to higher standards of care and an improved patient experience.
