À propos de ce poste Principal / Senior Principal Biostatistician chez Novartis
Job Description Summary
#LI-HybridLocation: Cambridge, USA
This role is based in Cambridge, USA. Novartis is unable to offer relocation support for this role. Please only apply if this location is accessible for you.
We are in search of a Principal or Senior Principal Biostatistician to join a passionate team in early phase drug development. Come to an industry leader where you will lead implementation of modern and innovative trial/experimental designs, statistical models, and analysis and data exploration methodologies at the study or project level, and you will be responsible for all statistical work, scientific and operational, in collaboration with the clinical trial teams and other quantitative partners in the Early Development – Advanced Quantitative Science's team.
Job Description
Your Key Responsibilities:
- Responsible for all statistical tasks on the assigned trials.
- Protocol development in alignment with the development plan, developing statistical analysis plan, reporting activities.
- Contribute to planning and execution of statistical analyses and statistical consultation within your cross-functional teams.
- Initiate, drive and implement novel methods and innovative trial designs in alignment with the Lead Statistician.
- Collaborate with clinical, regulatory and other strategic functions to drive quantitative decision making in assigned indications/program with oversight.
- Collaborate cross-functionally (e.g., data management, programming, medical writing) to ensure timeliness and quality of statistical deliverables.
- Contribute to external engagement with consultants, advisory boards, health authorities, congresses, and scientific meetings.
Essential Requirements:
- PhD in Statistics, Biostatistics, or a related quantitative field preferred or MS with extensive experience. Principal or Senior Principal Biostatistician, level commensurate with experience.
- Fluent English (oral and written).
- Strong communication and presentation skills.
- Proficiency in R and/or SAS
Novartis Compensation Summary:
The salary for this position is expected to range between $119,700.00 - $222,300.00 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.
Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a
variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
To learn more about the culture, rewards and benefits we offer our people click here.
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
Accessibility and reasonable accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Salary Range
$119,700.00 - $222,300.00
Skills Desired
Automation, Biostatistics, Clinical Trials, Computer Programming, Metadata Management, Statistical Analysis
