Intern - gRED - Computational ToxicologyAt — Genentech Patient Foundation

Opportunity Summary 

Organization Name
Genentech

Opportunity/Position Title
Intern - gRED - Computational Toxicology

Position Summary/Description (please incl. days/hours)Start Date: Summer 2022

Length of Assignment: 3 months, 40/hrs per week, either remote or on site

Preferred Majors/Disciplines: Ideal candidate would have Python, R programming skills, and experience in in vitro assays is a plus.

Education Level: Education Level: Graduate Level Only (MS or PhD)

Computational toxicology group is looking for a summer intern with a combination of toxicology and computational experiences to help with data processing, modeling, and software engineering tasks. Project may include:

a) Data collection, curation, and management

b) Statistical/QSAR/QSPR modeling

c) Database management and integration

d) Developing user interface of inhouse computational tools

For Colorado-based applicants, the expected salary range for this position is [21/hr - 50/hr]. Actual pay will be determined based on experience, qualifications, and other job-related factors permitted by law. This position also qualifies for the benefits listed below.

Benefits
Roche offers highly competitive benefit plans and programs, including:
-Paid holiday time off

Type of service:
Other

Fingerprinting/Background Check Required
Yes

Site Supervisor Name
Shannon Noonan

Site Supervisor Email
noonans1@gene.com

Site Supervisor Phone Number
650-296-1932 ext.

Is this position:
In Person (on-site)

If this opportunity is in-person, please list the locations/cities below:
1 Dna Way, South San Francisco, CA 94080

Number of open positions
1

Minimum hours requested
40hrs/week

Position(s) are for: (click all that apply)
Summer Semester

If you want to target specific majors, please indicate the majors below:
Statistics

Posted: 4/22/22

Program 
Center for Community Engagement
Internships
Location Type 
On-site
Location 
United States
Expected Hours 
HoursDuration
40hours per week
Students required to have a personal vehicle 
No
Fees students may incur with this opportunity 
Background Check (e.g., fingerprinting, live scans, driving record)
This opportunity provides some form of compensation 
No
Opportunity Availability 
Ongoing