Exel
Senior Biostatistics Director
Alameda, CA · Director
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About the role
- Provides strategic statistical and regulatory guidance to anticipate challenges, mitigate risk, and ensure project success.
- Represents biostatistics function in interactions with institutional review boards, ethics committees, and health agencies.
- Supervisory Responsibilities: • No supervisory responsibilities.
Responsibilities
- Work with department head to develop and implement department standards and practices.
- Direct the statistical design, conduct, and analysis of clinical trials in all phases.
- Review protocols and case report forms for soundness of trial design.
- Perform analysis, interpret study results, and collaborate with clinical team to produce interim reports, final reports, and publications.
- Evaluate and manage contract research organizations and other vendors, including scope-of-work, timelines, deliverables and budgets.
- Provides leadership within biostatistics function to develop and execute statistical strategy, design and analyses for clinical trials in all phases.
- Develops and/or applies statistical theories, methods and software.
- Partners in clinical development program, study design, establishing standards for clinical conduct, and the collection, management and/or reporting of data.
- Develops and implements biostatistics department policies, standards, practices and work-instructions in coordination with department leader and leaders in other functions.
- Manages timelines, deliverables and budgets of contract research organizations.
Requirements
- BS/BA degree in Statistics/Biostatistics or related discipline and a minimum of fifteen years of related experience
- MS/MA degree in Statistics/Biostatistics or related discipline and a minimum of thirteen years of related experience
- It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
Nice to have
- Managed and or supported clinical trials, preferably in the therapeutic area of oncology and in the biotech/pharmaceutical industry.
- Preferably led a phase III clinical trial.
- In-depth knowledge of CDISC standards.
- Direct experience with FDA/EU Authority preferred.
Skills
- Developed/reviewed SDTM/ADaM specifications.
- Excellent knowledge of FDA/EU statistical guidelines.
- Has understanding of other disciplines such as data management, clinical operation, clinical science, regulatory affairs and drug safety.
- Project management and contract negotiation with outside vendors.
- Develops technical and/or business solutions to complex problems.
- Applies strong analytical and business communication skills.
- Works on significant and unique issues where analysis scenarios require an evaluation of intangibles.
- Works on complex issues where analysis scenarios require an in-depth knowledge of the company.
- Exercises independent judgment in methods, techniques and evaluation of criteria for obtaining results.
- Education/Experience:
- BS/BA degree in Statistics/Biostatistics or related discipline and a minimum of fifteen years of related experience; or,
- MS/MA degree in Statistics/Biostatistics or related discipline and a minimum of thirteen years of related experience; or,
Compensation
- The base pay range for this position is $216,500 - $307,500 annually.
- The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location.
Benefits
- The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors.
- Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan.
- Applies sound statistical methodology to meet project objectives, health authority guidelines, and regulatory requirements.
Company info
- Regularly interacts with executives and/or major customers.
This listing is sourced directly from Exel's careers page and normalized into a canonical job model.