Senior Statistical Manager, Late Phase
About the role
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By joining ICON you will became a part of an award winning team! ICON was named by Forbes as one of the best employers in America 2018 for the second year in the row!
Senior Statistical Analysis Manager
Location: office based in Lexington or Home Based on the East Coast
This is an exciting opportunity to work within a fast paced, busy environment for a leading global provider of outsourced development services to the pharmaceutical, biotechnology and medical device industries.
This role sits within our Late Phase team (IIIb/IV) where our Senior Statistical Analysis Manager perform statistical analysis planning, lead statistical analysis, lead statistical reporting, act as overall statistical lead on low to medium complexity studies, participate in business development, and supervise statistical analysis staff.
Overview of the Role
- Recognize, exemplify and adhere to ICONs values which centers around our commitment to People, clients and performance.
- As a Manager, the employee is expected to recognize the importance of and create a culture of process improvement with a focus on streamlining our processes adding value to our business and meeting clients needs
- Supports project conception and design.
- Leads study start-up activities (e.g. reviews, comments on and contributes to study design, protocols, case report forms).
- Leads the writing of statistical methods sections of study protocols.
- Leads sample size and power calculations.
- Leads the review of database specifications.
- Leads the development of statistical analysis plans
- Leads the development of table shells.
- Leads quality control checks throughout programming.
- Senior oversight of the uploading/downloading of data transfers (internal or external).
- Senior oversight of initial review of raw variables.
- Leads the development of written specifications for derived variables from oral descriptions.
- Senior oversight of the creation of derived variables from written or oral specifications.
- Leads the selection of appropriate statistical procedures.
- Senior oversight of the programming of basic statistical procedures.
- Leads the programming of specialized statistical procedures (e.g., repeated measures, survival analysis, etc.) and/or SAS/Graph.
- Leads the development of complex macros for use by the group.
- Leads the design of deliverables, such as site reports, tables, and graphs.
- Leads the development of deliverables, such as project reports and outputs, graphs, and tables.
- Leads the creation of abstracts, presentations, and manuscripts.
- Leads the writing of methods and results sections of final reports and publications.
- Communicates with the client or investigator as needed..
- Participates in general marketing conferences or industry meetings.
- Participates in corporate capabilities presentations, as needed.
- Participates in professional activities including presentations at technical conferences (e.g. SAS meetings, ISPOR).
- Leads Statistical Analysis in proposal/RFP development in full-service bids
- Assists Directors and members of Executive Team with ILPOR initiatives
Role Requirements
- 4 years relevant experience with a doctoral degree (or local equivalent) or 5 years relevant experience with a master’s degree (or local equivalent). Prefer 7 years of relevant experience with a doctoral degree (or local equivalent). In exceptional situations, 7 years relevant experience with a bachelor’s degree (or local equivalent) would be acceptable.
- Proficient in SAS Data step with simple conditional statements and variable creation.
- Proficient in performing simple merges and concatenation.
- Proficient in using complex conditional statements in SAS Data step.
- Proficient in performing complex merges (including one-to-many merges).
- Experience using macros and arrays for repetitive tasks.
- Experience using descriptive statistics procedures for summarizing, restructuring, and outputting data
- Experience using SAS Output Delivery System to control output from statistical procedures.
- Proficient in performing analyses using basic statistical procedures.
- In-depth technical expertise in at least one advanced SAS statistical procedure or technique (e.g., repeated measures, survival analysis, SAS/Graph, advanced macros, etc.).
- In-depth technical expertise in at least one substantive area (e.g. statistics, epidemiology, pharmacoeconomics, patient-reported outcomes, etc.).
- Working knowledge of general workplace computer applications such as MS Word, Excel, and PowerPoint.
Benefits of Working in ICON
Other than working with a great team of smart and energetic people, we also offer a very competitive benefits package. This varies from country to country so a dedicated recruiter will discuss this with you at interview stage.
We care about our people as they are the key to our success. We provide an open and friendly work environment where we empower people and provide them with opportunities to develop their long term career.
What’s Next?
Following your application you will be contacted by one of our dedicated recruiters and if successful we will be able to provide you with more details about this opportunity.
ICON is an equal opportunity employer - M/F/D/V and committed to providing a workplace free of any discrimination or harassment.
Application process
Once you find a job opening that fits your skills and interests, you can create an account, apply and check back on the progress of your application or apply for other roles. Once your application has been received, a confirmation email will be sent to your email.
Remember: this is our first time meeting you. Read the job description and highlight on your CV those experiences that we should learn about.
One of our experienced recruiters will read your profile and determine if you're fit for the role and the company. We are aware of instances where fake recruitment text messages and emails that can appear to come from ICON have been received by individuals. Always delete suspicious text messages or emails. Never give out personal financial information.
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