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Form of work2024 Summer Intern - Research Pathology, Digital and Spatial Pathology (DSP), Digital Pathology Image Analysis-Spatial Omics (DPIA-SO)
Department Summary
The Department of Pathology is embedded within Genentech's Research and Early Development Organization (gRED) and works to ensure that strategies for the treatment and cure of disease are based on accurate analyses of pathogenetic mechanisms. In addition, the department is a key driver in Genentech's Digital Pathology efforts. The Department collaborates with and provides expert support to our therapeutic areas and research scientists in the discovery, characterization, and development of novel therapeutic products for a variety of human diseases. These include diseases caused by malignant transformation or dysfunction of the nervous or immune systems.
In the past few years Research Pathology has developed a Digital Pathology and spatial omics ecosystem in which emerging tissue-based technologies and cutting edge computational efforts are integrated to accelerate advances to biological insights and novel therapeutics.
Our spatial omics capabilities span a wide range of tissue-based platforms covering both single-cell proteomics and transcriptomics.
DPIA-SO (Digital Pathology Image Analysis-Spatial Omics) is a Research Pathology sub-team specializing in collaborative spatial omics computational analysis. Our mission is to provide scientists with actionable insights from high-dimensional imaging data by developing and leveraging transparent, reproducible and scalable spatial analysis methods and pipelines.
This internship position is located inSouth San Francisco on site
Key Responsibilities
Program Highlights
Who You Are (Required)
Required Education:
Required skills:
Preferred skills:
Preferred majors:
Mathematics, Statistics, Computational Biology, Bioinformatics, Physics, Engineering or other related quantitative/scientific fields
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location for this position in California is $22.00 - $55.00 per hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.
#GNE-R&D-Interns-2024
Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.
Department Summary
The Department of Pathology is embedded within Genentech's Research and Early Development Organization (gRED) and works to ensure that strategies for the treatment and cure of disease are based on accurate analyses of pathogenetic mechanisms. In addition, the department is a key driver in Genentech's Digital Pathology efforts. The Department collaborates with and provides expert support to our therapeutic areas and research scientists in the discovery, characterization, and development of novel therapeutic products for a variety of human diseases. These include diseases caused by malignant transformation or dysfunction of the nervous or immune systems.
In the past few years Research Pathology has developed a Digital Pathology and spatial omics ecosystem in which emerging tissue-based technologies and cutting edge computational efforts are integrated to accelerate advances to biological insights and novel therapeutics.
Our spatial omics capabilities span a wide range of tissue-based platforms covering both single-cell proteomics and transcriptomics.
DPIA-SO (Digital Pathology Image Analysis-Spatial Omics) is a Research Pathology sub-team specializing in collaborative spatial omics computational analysis. Our mission is to provide scientists with actionable insights from high-dimensional imaging data by developing and leveraging transparent, reproducible and scalable spatial analysis methods and pipelines.
This internship position is located inSouth San Francisco on site
Key Responsibilities
- Work closely with the spatial omics analysis team to both evaluate existing methods and develop novel methods to harmonize multimodal omics datasets
- Conduct thorough evaluations of developed methods using relevant benchmarks and datasets
- Help develop reference-free quality metrics for data harmonization
- Provide regular project updates to stakeholders
- Document methodologies, results, and insights for internal knowledge sharing
Program Highlights
- Intensive 12-weeks , full time (40 hours per week) paid internship.
- Program start dates are in May/June (Summer)
- A stipend, based on location, will be provided to help alleviate costs associated with the internship.
- Ownership of challenging and impactful business-critical projects.
- Work with some of the most talented people in the biotechnology industry.
Who You Are (Required)
Required Education:
- Must be pursuing a Master's Degree or PhD
Required skills:
- Experience with statistical analysis
- Python coding experience
- Excellent problem-solving and critical thinking abilities
- Effective communication skills; able and willing to work collaboratively in a team
Preferred skills:
- Experience analyzing image or spatial datasets (Spatial Transcriptomics or Proteomics)
- Machine learning with bioinformatic applications
- Familiarity with common deep learning Python frameworks (i.e. Pytorch, Tensorflow, etc)
- Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
Preferred majors:
Mathematics, Statistics, Computational Biology, Bioinformatics, Physics, Engineering or other related quantitative/scientific fields
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location for this position in California is $22.00 - $55.00 per hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.
#GNE-R&D-Interns-2024
Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.
