Veracyte

HQ
South San Francisco
Total Offices: 5
596 Total Employees
Year Founded: 2008
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Veracyte Benefits Overview

Compensation + BenefitsWork-Life Balance + WellbeingCareer Growth + DevelopmentCompany Culture

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers occupational accident insurance

Offers disability insurance

Offers supplemental life insurance

Offers accidental death & dismemberment insurance

Offers company equity

Offers performance bonuses

Offers employee stock purchase plan

Offers employee discounts

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Provides family medical leave

Offers generous parental leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides military leave

Provides paid holidays

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Provides tuition assistance

Company Culture

Provides free snacks and drinks

Recently posted jobs

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Veracyte

Director, Data Engineering

18 Hours AgoSaved
In-Office
San Diego, CA, USA
Healthtech • Information Technology • Biotech
The Director of Data Engineering leads the development of data platforms to support analytics in cancer care, overseeing architecture and engineering while mentoring a team.
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Veracyte

Clinical Research Associate

YesterdaySaved
In-Office
South San Francisco, CA, USA
Healthtech • Information Technology • Biotech
The Clinical Research Associate supports Veracyte's clinical research, overseeing lab operations, managing specimens, ensuring compliance, and collaborating cross-functionally to monitor study execution.
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Veracyte

Bioinformatics Research Scientist II

2 Days AgoSaved
In-Office or Remote
2 Locations
Healthtech • Information Technology • Biotech
Apply computational and statistical methods to large-scale transcriptomic and genomic datasets (primarily prostate cancer), design and evaluate supervised and unsupervised ML models, document reproducible analyses to regulatory standards, communicate findings via presentations and publications, and collaborate with multidisciplinary teams to inform product development and scientific strategy.
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