We are seeking a highly motivated and scientifically rigorous Director of Biostatistics to our Medical Analytics and Exploratory Data Science Biostatistics group. This role will provide strategic and ...
We are seeking a highly motivated and scientifically rigorous Director of Biostatistics to our Medical Analytics and Exploratory Data Science Biostatistics group. This role will provide strategic and ...
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Data Analytics Director information
See San Ramon, CA salary details
$79.3K - $97K
2% of jobs
$97K - $114.6K
11% of jobs
$128.1K is the 25th percentile. Wages below this are outliers.
$114.6K - $132.2K
16% of jobs
$132.2K - $149.8K
14% of jobs
The median wage is $161.1K / yr.
$149.8K - $167.5K
12% of jobs
$167.5K - $185.1K
16% of jobs
$193K is the 75th percentile. Wages above this are outliers.
$185.1K - $202.7K
11% of jobs
$202.7K - $220.4K
3% of jobs
$220.4K - $238K
2% of jobs
$238K - $255.6K
2% of jobs
$255.6K - $273.2K
12% of jobs
$79.3K
$176.7K
$273.2K
How much do data analytics director jobs pay per year?
What are the key skills and qualifications needed to thrive as a Data Analytics Director, and why are they important?
What are some common challenges faced by a Data Analytics Director when aligning analytics initiatives with business objectives?
What does a Data Analytics Director do?
What is the difference between Data Analytics Director vs Data Scientist?
| Aspect | Data Analytics Director | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Data Science, Business, or related field; often requires leadership experience | Bachelor's, Master's, or Ph.D. in Data Science, Statistics, or related field; technical expertise in modeling |
| Work Environment | Leadership role overseeing analytics teams, strategic planning, and project management | Hands-on data analysis, model development, and algorithm implementation |
| Employer & Industry Usage | Used in corporate, finance, healthcare, and tech sectors for strategic decision-making | Common in tech, research, and analytics firms for developing data models and insights |
The main difference is that a Data Analytics Director focuses on leading analytics teams and strategic initiatives, while a Data Scientist is primarily involved in technical data modeling and analysis. Both roles require strong analytical skills, but the Director role emphasizes leadership and business strategy.

Director, Medical Analytics and Exploratory Data Science
Revolution MedicinesRedwood City, CA โข Hybrid
Other
Posted 13 days ago
Job description
The Opportunity:
We are seeking a highly motivated and scientifically rigorous Director of Biostatistics to our Medical Analytics and Exploratory Data Science Biostatistics group. This role will provide strategic and hands-on statistical leadership for exploratory data analyses, scientific publications, real-world evidence (RWE), post-marketing research, and health economics and outcomes research (HEOR) initiatives. The successful candidate will serve as a key statistical leader and individual contributor, partnering closely with cross-functional teams to generate high-quality evidence that advances our oncology pipeline and supports medical and scientific strategy.
Provide statistical leadership for exploratory data analyses using existing clinical trial data, real world data studies, post-marketing research, and HEOR projects.
Serve as a primary statistical contact for assigned projects, working collaboratively with clinical development, medical affairs, safety, statistical programming, regulatory affairs and commercial.
Lead the design, analysis, and interpretation of complex statistical models, including survival analysis, machine learning, and casual inference methodologies.
Contribute to and implement policies, standards, and procedures to ensure consistency and quality in statistical practices.
Manage relationships with external partners, such as contract research organizations (CROs), ensuring adherence to timelines, budgets, and quality standards.
Mentor and provide technical guidance to junior statisticians, fostering scientific rigor, innovation, and professional growth.
Contribute to regulatory and payers/HTA agencies interactions, scientific publications, abstracts, and internal decision-making through clear and effective communication of statistical results.
Required Skills, Experience and Education:
Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 8 years (for Ph.D.) and 12 years (for M.S.) of experience in biotech/pharma industry as a statistician.
Solid knowledge of statistical methodologies for oncology, including survival analysis and causal inference.
Hands-on experience in exploratory analysis of oncology trials.
Proven ability to independently lead statistical aspects of complex, cross-functional projects.
Strong understanding of regulatory requirements related to biostatistical activities and clinical trials.
Excellent verbal and written communication skills are required.
Excellent interpersonal and project management skills are essential.
Proficiency in SAS and/or R.
Preferred Skills:
Knowledge of RWD and health economics and outcomes research (HEOR) in oncology is a plus.
Familiarity with machine learning or advanced modeling approaches applied to biomedical or observational data.ย
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