We have a current opportunity for a Sr Manager/AD Statistical Programming Oncology on a permanent basis. The position can be remote. We are seeking strong hands on programmers with current and relevant oncology expertise in all phases of clinical trials. For further information about this position please apply.
Sr Manager/ AD Stat Programming
- R+D/ Global Development Support
- New York City
- Salary range: $155-195k
A clinical stage biopharma company is seeking a Sr Manager/ AD Stat Programming to join their team. Reporting to the Head of Statistical Programming, this role involves leading statistical programming activities for compounds/indications in the oncology space. Collaboration is key, working closely with various departments including Statistics, Clinical Science, Medical Writing, Regulatory Publishing, and Development Operations.
The Sr Manager/AD Stat Programming position will have responsibilities that include:
- Generate statistical outputs and reports for clinical study teams.
- Cooperate with CRO to confirm productions.
- Embraces tactical approach to delivering and prioritizing analytical deliverables, integrating innovative tools and methods where needed.
- Supports standards, tools, and processes that improve the efficiency of producing analytics across programs.
The ideal candidate will have the following skill set:
- MS or Ph.D. preferably in Data Science related fields (e.g. Statistics, Mathematics, Computer Science, Biostatistics).
- Oncology solid tumor expertise.
- Advanced data analysis experience and the abililty to present data.
- Advanced SAS programming skills in a clinical data environment with expertise in at least one, preferably multiple, therapeutic areas.
- Experience in managing and implementing standard methodology.
- Proven ability to work collaboratively on interdisciplinary teams.
- Strong interpersonal skills that demonstrate initiative and motivation.
- Ability to problem solve. Excellent verbal and written communication skills in a global environment.
- Minimum of 8 years of experience in analysis of clinical trial data.
- Must be experienced in the use of statistical software, primarily SAS and/or R experience
- Familiar with CDISC and submission experience preferred.
- Vendor Management.
- Cross functional experience.
