Senior Scientist, Biostatistics, Early Development Statistics

Job Description

In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our company’s renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state-of-the art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.

Job Description:

Our Research Scientists are our Inventors. We identify and target steps in disease mechanisms or pathways that could be inhibited or enhanced. Our goal is to isolate a compound that is effective against a disease target. Using innovative thinking, state-of-the-art facilities and robust scientific methodology we collaborate to discover the next medical breakthrough.

This position is for a statistician who will contribute to identifying, developing and validating oncology biomarkers and to validating digital pathology-based approaches that can be used to support our company's oncology programs, and/or to serve as companion diagnostics. The position is also responsible for supporting regulatory filing related to oncology biomarkers. This position requires solid statistical knowledge, excellent communication skills and strong programming capability. A successful applicant is expected to be self-motivated and innovative.

Primary responsibilities:

• Lead translational oncology biomarker statistical analysis plan development, statistical analyses, discussion, results sharing and publication.

• Provides statistical support for companion diagnostics development including cut point selection and bridging analysis for regulatory approval.

• Interacts with Discovery and Translational, Clinical, Regulatory, Statistical Programming, and other Research Laboratories scientists in analyzing oncology biomarker and clinical data.

Primary activities:

• Serves as the lead statistician to support biomarker research for early oncology programs or late-stage oncology indications.

• Develops scientific statistical analysis plans for oncology biomarker projects.

• Analyzes biomarker and clinical data and interprets the results.

• Prepares oral presentations and written reports to effectively communicate analysis results to multidisciplinary teams.

• Identifies technical or other potential problems arising in the biomarker projects, proposes solutions and carries them out.

• Participates in biomarker related meetings to gain high-level understandings of the projects, and to ensure the quality of the data and the analysis.

• Conducts research for innovative statistical methods and their applications in biomarker projects.

Position Qualifications:

Education Minimum Requirement:

• A PhD degree in statistics/biostatistics or related areas, or

• A master’s degree in statistics/biostatistics with at least 4 years of relevant work experience

Required Experience and Skills:

• Solid knowledge of statistical analysis methodologies especially in Bayesian inference

• (including hierarchical modeling), logistic regression, and survival analysis

• Solid knowledge of statistical and data processing software, especially R language

• Strong oral and written communication skills

• Ability to function well both independently and collaboratively

• Strong project management skills

• Demonstrated interest in statistical methodology research and in the application of novel methods to real-world data analysis problem

• Demonstrated ability to learn, be proactive and motivated, and consistently focus on details and execution

• Ability to collaborate with scientists and work on multidisciplinary teams

Preferred Experience and Skills:

• Knowledge and experiences in Bayesian modeling and analysis with jags, stan or customized MCMC procedure using R is highly desired.

• A specialization and relevant job experience in oncology

• An understanding of the process to generate biomarkers, and the biology of disease and immunology

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