Manager, Biostatistics

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Job Description

Responsibilities:

• Provide expert technical and strategic leadership in the design, analysis, and interpretation of complex clinical and real-world data studies, with a focus on high-impact projects.

• Collaborate cross-functionally with Engineering, Clinical/Medical, Data Science, and other stakeholders to drive project success and translate research into actionable business and clinical insights.

• Lead development on statistical analysis plans -sample size and power calculations, and propose accurate and efficient statistical methodologies 

• Oversee and independently execute statistical analyses for studies of high complexity, proactively identifying and addressing methodological challenges and improving or extending standard methods as needed.

• Provide statistical support required for any regulatory submissions 

• Independent work on complex problems, and selecting and adapting novel methods as appropriate

• Collaborate in an interdisciplinary role with scientists and engineers to translate research into actionable insights for our clients

• Stay current with advances in statistical methodologies, regulatory requirements, and industry best practices relevant to clinical trials and real-world data studies.

• Comply with all regulations and Company procedures

• Mentor and provide guidance to junior and senior biostatisticians, offering both high-level project leadership and detailed technical review (e.g., SAP review, code validation).

Required Experience:

• Ph.D. or Masters Degree in Biostatistics, Statistics, or a related field with 4+ years (Ph.D.) / 6+ years (MS/MA) relevant industry experience.

• Demonstrated expertise in advanced statistical analysis methods, experimental design, and survival analysis, with strong business domain knowledge in oncology, cardiology, and/or genomics

• Proven ability to improve or extend standard statistical design and analysis methods to address project-specific challenges

• Experience developing and reviewing statistical analysis plans (SAPs) and independently running analyses for complex studies with minimal oversight

• Proficiency in R and other relevant statistical software, with experience in code review and validation.

• Excellent communication, organizational, and problem-solving skills

Pay Range: $130,000 - $210,000 USD

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.