Job description
- Rewarding and meaningful work in an established, diverse, highly profitable and respected global company
- Highly competitive compensation packages, including various local benefits such as pension contributions, complimentary health insurance plans, remote working allowances etc.
- A genuine work life balance
- Flexibility in working hours
- A thorough onboarding with support from your personal mentor
- A permanent employment contract with Fortrea
- Excellent training and career development opportunities, as well as support with advancing your individual education
- Strong support from your Line Manager and your team, as well as from more than 20,000 Fortrea colleagues worldwide
- Plan, execute and oversee all programming activities on a study, including but not limited to: resource estimation, working within budget, meeting timelines, maximizing quality, interaction with other departments and the client, etc.
- Develop and maintain SAS programs to create complete SDTM and ADaM datasets and TFLs, and perform quality control reviews of SDTM, ADaMs and TFLs
- Produce and/or define XML/PDFs, Analysis Results Metadata (ARM), aCRFs and Reviewers Guides to support SDTMs and ADaMs
- Develop and/or lead the development of complex specifications for SDTMs and ADaM datasets, and contribute to the development of company and client standards
- Review SAPs and TFL shells from a programming perspective for studies, and advise on the development of complex TFL shells from a programming perspective
- Mentor less-experienced team members in best practices around SDTMs, ADaMs and TFLs while ensuring adherence to department practices and processes
- Present and share knowledge at department meetings
- Respond to QA and client audits and support qualification audits
- Contribute your expertise to proposal activities and bid defense
- Continually identify and suggest ways to improve the efficiency, quality and productivity of statistical programming
- Degree in a relevant field such as mathematics, life sciences, statistics, computer sciences, etc.
- In lieu of the above: an equivalent completed vocational training and / or equivalent professional experience in statistical programming for drug development
- Profound professional experience as a lead statistical programmer working on complex studies within a biotech, CRO or pharmaceutical company
- Knowledge in all aspects of clinical trials, from initial study set-up to study completion, with an excellent understanding of the roles and responsibilities of all related disciplines, e.g. Biostatistics and Clinical Data Management
- Expert knowledge of base SAS, SAS macros, SAS/STAT and in debugging SAS programs
- Broad knowledge of all CDISC requirements related to SDTM and ADaM, including define.xml, Reviewer's Guide and submission standards
- Solid experience with oncology and/or vaccine clinical trials and the corresponding datasets (safety and efficacy) and endpoints
- Excellent organizational, time management and project management skills with demonstrated leadership skills
- Outstanding problem solving and decision making skills, coupled with a proactive approach - anticipating issues and working to ensure they are avoided or resolved as quickly as possible
- An autonomous, collaborative work style, a curious mind and a keen attention to detail
- Business fluency in English – both verbal and written – is a must
As an EOE/AA employer, Fortrea strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. We encourage all to apply.