Senior Biostatistician:

Sunnyvale California

Job Title: Sr. Biostatistician


The position will support assay development and clinical studies for oncology IVD products by providing statistical input in the planning, analysis and reporting of pre-clinical, clinical, and post-launch studies conducted by the Medical and Scientific Affairs and Clinical Affairs teams. This position will be a point of contact for regulatory questions pertaining to the biostatistics function. The position will also provide biostatistical support for analytical studies such as precision and reproducibility, interfering substances, limit of detection (LOD), exclusivity and inclusivity, method comparisons, accuracy, and linearity carried out by the oncology R&D team.


  • Provide statistical input for study protocols and data collection instruments, develop statistical analysis plans, and compute sample sizes for pre-clinical, clinical, and post-launch studies, CE/IVD studies, and meta-analyses
  • Support R&D with statistical input and advise as needed for biomarker selection, algorithm development, and analytical studies
  • Write statistical analysis reports for various studies and regulatory submissions
  • Maintain proficiency in multiple statistical analysis and sample size software including nQuery, SAS, R, JMP, and Minitab
  • Stay current on product development issues and stages of clinical development by attending research review and development team meetings
  • Mentor junior/new biostatistics teammates in analysis of oncology studies.
  • Proactively communicate and protect the team & company's benefit
  • Consider the business needs in different clinical study design scenarios and educate the cross-functional team on how to improve prospects for future clinical studies


  • Bachelors, Masters or Ph.D. degree in statistics or biostatistics
  • Minimum of 0 to 5+ years of related work experience (Bachelors: 5+ years; Masters: 3+ years; and PhD: 0-2 years)
  • Graduate-level knowledge of statistics including Survival Analysis, Logistic Regression, Multivariate Analysis, ANOVA, Categorical Data Analysis, and DOE
  • Must have excellent written and verbal communication skills
  • Must possess proficiency in statistical programming languages such as SAS and R.
  • Must have the ability to independently conduct MCMC simulations to test study designs and for sample size computations, when needed in complex or novel situations.
  • Must be a proactive learner and adapt to new statistical methods and statistical software that are useful in oncology development.

Preferred Qualifications:

  • In-depth understanding of Kaplan-Meier Analysis, the Cox PH Model, and the Mixed Model gained through both training and work experience is mandatory for this position
  • The Basic & Advanced SAS certifications are not required but preferred.
  • Past experience with CE-IVD and FDA (510(k) and PMA) submissions.
  • Past experience supporting the design and validation of multiplex qPCR biomarker panels.
  • Experience with analysis of real world / investigator-initiated study datasets, including meta-analyses of pooled datasets.

Physical Demands: Not specified

Danaher Corporation and all Danaher Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The "EEO is the Law" poster is available here .

Job Requirements:
Basic Qualifications