Senior Research Statistician - Early Oncology (Hybrid)
AbbVie
South San Francisco, CA
Hybrid
Diversity Leader
Health Insurance
Dental Insurance
Vision Insurance
‌
Senior Oncology Research Statistician (Hybrid)
AbbVie
South San Francisco, CA
Hybrid
Diversity Leader
‌
Senior Statistician, Real-World Data & Evidence
BeOne Medicines
Emeryville, CA
‌
Senior Principal Statistician
Genentech
South San Francisco, CA
New
Diversity Leader
‌
Senior Principal Statistician, Early Development
Genentech
South San Francisco, CA
New
Diversity Leader
$171.6k - $318.6k / year
‌
Associate Statistical Programming Director
Exelixis
Alameda, CA
401(k)
Dental Insurance
Vision Insurance
$165.5k - $235.5k / year
‌
Manager, Statistical Programming
Gilead Sciences
Foster City, CA
New
Dental Insurance
Vision Insurance
$146.5k - $189.6k / year
‌
Manager, Statistical Programming
GILEAD
San Mateo, CA
New
Dental Insurance
Vision Insurance
$146.5k - $189.6k / year
‌
Manager Statistics - Immunology Hybrid
AbbVie
South San Francisco, CA
Diversity Leader
Health Insurance
Dental Insurance
Vision Insurance
‌
Manager, Statistical Programming
AbbVie
South San Francisco, CA
Diversity Leader
Health Insurance
Dental Insurance
Vision Insurance
‌
Survey Statistician/Mathematical Statistician
Code360
🌎 Remote
Remote
PTO
Health Insurance
Dental Insurance
Vision Insurance
Education
‌
Statistician IV
Goldbelt
🌎 Remote
Remote
Dental Insurance
Vision Insurance
$135k - $145k / year
‌
Computational Statistics Expert - PhD
Obsidian
San Francisco, CA
New
Part-Time
‌
Manager, Statistical Programming
Penumbra
Alameda, CA
New
Dental Insurance
Vision Insurance
Parental Leave
$158k - $227k / year
Job Description
Working as a Statistician in Berkeley, CA
There are 12,130 Statistician opportunities available in Berkeley, CA all with unique requirements.
The statistician is a member of the research team and is responsible for gathering and analyzing data from surveys, experiments, and observational studies to interpret findings and provide recommendations. This position requires knowledge of good statistical methods (including experimental design, survey design, nonparametric and parametric methods) and the appropriate application in a laboratory or industrial environment. He/she should have sound knowledge in sampling, data collection, study designs, and ethics.