Senior Manager, Statistical Programming
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Job description
The Sr. Manager, Statistical Programming is responsible for SAS programming activities supporting multiple studies for a single, or multiple compounds within related therapeutic areas. Programming experience from inception through submission in related areas., * Manage one or more statistical programming projects, working closely with cross functional teams and vendors to ensure timely delivery of high quality output
- Develop and review codes, create datasets and summary Tables, Graphs, and Listings (TLGs) to summarize the data as per Statistical Analysis Plan
- Review statistical analysis plans for own projects and contribute to implementation
- Collaborate cross functionally with teams like Biostatistics, Data Management, Clinical Ops etc. to ensure accuracy of datasets and summary, resolve any issues in project implementation and act as a representative of statistical programming team in study team meetings
- Participate in the identification and selection of external partners/ vendors and monitor the quality of deliverables
- Continuously work towards improving statistical programming capabilities within team by improving processes, systems/ tools and training of team members
- Mentor less experienced members of the team, The annual base salary range for the Senior Manager, Statistical Programming is from :$138,800-$182,200 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan.
Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills.
Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://careers.eisai.com/us/en/compensation-and-benefits.
Certain other benefits may be available for this position, please discuss any questions with your recruiter.
Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans.
Requirements
- Bachelors / Masters degree in computer science, public health, biostatistics, statistics or other related area
- 8+ yrs (for Bachelors degree)/ 5+ yrs (for Masters degree) of experiencein clinical development statistical programming methods & processes preferably in a pharmaceutical/ CRO/ academia or related environment OR equivalent combination of education and experience
- Experience driving results indirectly by influencing others
- Significant experience in vendor management
- Significant experience in SAS (required)
- Some experience having led projects pertaining to Phase I & II studies
- Significant experience in CDISC (SDTM/ADaM)
- Proven performance in earlier role/ comparable role
Skills:Biostatistics Skills, Communication & Cross-functional Influence, Critical Thinking & Business Agility, Industry/ Regulatory Knowledge, Mentoring/ People Development, Project Management, Statistical Programming Skills, Vendor Management
About the company
At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai’s human health care (hhc) mission. We’re a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world’s most widely-used treatment for Alzheimer’s disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you.
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