Computational Scientist II
Aequor JD ·www.aequor.com
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Working Model: Fully onsite
Working Days: Monday through Friday (weekend work as needed)
Working Hours: Standard 8
Interview Format: Two Rounds (1. Initial Panel - 45 minutes; 2. Final Panel - 45 minutes)
Computational Scientist
About the Role
We are seeking a highly motivated and collaborative Computational Scientist to join the Li Lab / Geiger-Schuller Lab / Regev Lab within Genentech Research and Early Development (gRED). The successful candidate will derive actionable insights from high-content perturbation screens of ex vivo systems. This role requires a deep understanding of computational methods for analyzing sequencing-based, multi-conditional perturbation data (e.g. Sci-plex, Perturb-seq, CROP-Seq), a passion for innovation, and a commitment to improving healthcare outcomes through cutting-edge technology.
Key Responsibilities
Analyze large-scale high-content sequencing-based perturbation datasets
Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders.
Qualifications
Educational Background: PhD degree in quantitative field (e.g., Computational Biology, Bioinformatics, Computer Science, Statistics, Mathematics) or in the physical or life sciences (e.g., Chemistry, Biology) with a strong quantitative focus.
Experience:
Proven track record of analyzing large-scale multi-conditional scRNA-seq datasets
Demonstrated interest in problems across biology and chemistry as applied to the discovery and development of treatments for disease.
Technical Skills:
Proficiency in scientific programming in Python.
Strong background in statistics, probabilistic modeling and data analysis.
Soft Skills: Excellent communication, collaboration, and problem-solving skills.
Publications: Strong publication record and experience contributing to research communities.
Preferred
Experience with the analysis of Perturb-seq/CROP-seq data, or more generally with CRISPR data
Multimodal data integration, in particular between multiple measurement modalities and/or clinical patient data
Experience with workflow managers such as nextflow or snakemake
Practical experience with working on HPC systems / SLURM
Working Days: Monday through Friday (weekend work as needed)
Working Hours: Standard 8
Interview Format: Two Rounds (1. Initial Panel - 45 minutes; 2. Final Panel - 45 minutes)
Computational Scientist
About the Role
We are seeking a highly motivated and collaborative Computational Scientist to join the Li Lab / Geiger-Schuller Lab / Regev Lab within Genentech Research and Early Development (gRED). The successful candidate will derive actionable insights from high-content perturbation screens of ex vivo systems. This role requires a deep understanding of computational methods for analyzing sequencing-based, multi-conditional perturbation data (e.g. Sci-plex, Perturb-seq, CROP-Seq), a passion for innovation, and a commitment to improving healthcare outcomes through cutting-edge technology.
Key Responsibilities
Analyze large-scale high-content sequencing-based perturbation datasets
Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders.
Qualifications
Educational Background: PhD degree in quantitative field (e.g., Computational Biology, Bioinformatics, Computer Science, Statistics, Mathematics) or in the physical or life sciences (e.g., Chemistry, Biology) with a strong quantitative focus.
Experience:
Proven track record of analyzing large-scale multi-conditional scRNA-seq datasets
Demonstrated interest in problems across biology and chemistry as applied to the discovery and development of treatments for disease.
Technical Skills:
Proficiency in scientific programming in Python.
Strong background in statistics, probabilistic modeling and data analysis.
Soft Skills: Excellent communication, collaboration, and problem-solving skills.
Publications: Strong publication record and experience contributing to research communities.
Preferred
Experience with the analysis of Perturb-seq/CROP-seq data, or more generally with CRISPR data
Multimodal data integration, in particular between multiple measurement modalities and/or clinical patient data
Experience with workflow managers such as nextflow or snakemake
Practical experience with working on HPC systems / SLURM
Frequently asked questions
Who is hiring for the Computational Scientist II role?
Aequor JD is hiring for the Computational Scientist II position, a Shazamme client. Apply directly on the employer's career site.
Where is the Computational Scientist II job located?
The Computational Scientist II role with Aequor JD is based in South San Francisco, CA, US.
What does the Computational Scientist II role pay?
Aequor JD lists the Computational Scientist II role at USD 68–91 per hour.
Is the Computational Scientist II role full-time or contract?
This is a full time position at Aequor JD.
What experience level is the Computational Scientist II role?
The Computational Scientist II position is aimed at mid-level candidates.
How do I apply for the Computational Scientist II role at Aequor JD?
Apply directly on Aequor JD's career page via the Apply button on this listing. ZammeJobs links straight through to the employer's ATS — no third-party form, no resume database.