Scientific Data AnalystProgrammer Gerencser lab

Novato, CA - USA

Yearly Salary: USD 125000 - 160000

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

Scientific Data Analyst/Programmer - Gerencser lab
Position Summary
The Gerencser lab at the Buck Institute seeks a PhD-level Scientific Data Analyst/Programmer with expertise in microscopy-based image processing machine vision and data operations supporting high-throughput small molecule screening. The lab integrates cell biology advanced microscopy robotic automation and single-cell gene expression techniques to investigate mitochondrial function in health and aging. Current efforts focus on defining youthful and aging-related cellular phenotypes and understanding mitochondrial regulation in pancreaticβ-cells in type 2 diabetes.

The successful candidate will develop and apply image-analysis pipelines integrate imaging data with internal and external databases and contribute to collaborative projects across Buck laboratories.

Project Overview
This role involves developing and implementing algorithms automated workflows and analytical tools for modern microscopy and high-content imaging. Projects rely heavily on AI-based and classical segmentation methods object detection image registration and object tracking. The lab uses automated microscopes and a fully robotic high-throughput screening system generating large datasets requiring scalable automated pipelines.

The candidate will:

Translate biological questions into analytical strategies.
Build and maintain image-analysis pipelines (deep learning and classical methods).
Work with multiple data modalities including compound-library databases and phenotypic profiling datasets.
Support small-molecule screens cell-painting-based phenotyping and high-content imaging workflows.
Contribute to automation of data acquisition and experimental design.

Training will be provided in experimental technologies and the candidate will also participate in experiment execution and data interpretation.

Qualifications
Essential Requirements

PhD in bioinformatics computational biology or a related field
Experience with biological image processing and automated/pipeline-based image analysis
Proficiency in Python and common scientific/imaging libraries
Strong data analysis database and biostatistics skills
Windows and Linux proficiency
Demonstrated research portfolio or publication record
Excellent written and oral communication skills
Strong time-management skills and the ability to work independently and collaboratively

Desired Skills

Experience with data from high-throughput small-molecule screens
Experience with laboratory automation and robotic systems
Microscopic phenotypic profiling or cell-painting experience
Deep-learning tools (CNNs for object detection instance segmentation embeddings)
GUI development in Python (e.g. Flask Voila)
Pathway analysis or knowledge-graph-based approaches
Programming in R
Experience with programmatic prompting of large language models

Compensation & Benefits

Salary Range: $125000 - $160000 per year depending on experience and qualifications
Dynamic research environment using state-of-the-art techniques
Comprehensive benefits package: health insurance paid parental leave childcare assistance generous vacation/sick leave and a 401(k) with 5% employer match
Highly collaborative scientific and social community

About Us
The Buck Institute is dedicated to extending human healthspan by addressing the biological mechanisms of aging. As a leading independent non-profit research institute in Marin County CA the Buck brings together experts across multiple disciplines to prevent or delay age-related diseases including Alzheimers Parkinsons cancer cardiovascular disease and diabetes.

We are committed to fostering an inclusive welcoming environment. We strongly encourage applicants who will contribute to the diversity of our community.

Core facilities supporting our research include Microscopy (directed by Dr. Akos Gerencser) Bioinformatics Flow Cytometry Single Cell Genomics Proteomics Metabolomics and Mouse Phenotyping and Behavior.

To Apply
Please submit your CV a cover letter describing your research interests and contact information for 2 references.

For Additional Information:
Akos Gerencser MD. Ph.D.
Director Morphology and Imaging Core
Associate Research Professor
T:
emailprotected

Required Experience:

Senior IC

Scientific Data Analyst/Programmer - Gerencser labPosition SummaryThe Gerencser lab at the Buck Institute seeks a PhD-level Scientific Data Analyst/Programmer with expertise in microscopy-based image processing machine vision and data operations supporting high-throughput small molecule screening. T...

Scientific Data Analyst/Programmer - Gerencser lab
Position Summary
The Gerencser lab at the Buck Institute seeks a PhD-level Scientific Data Analyst/Programmer with expertise in microscopy-based image processing machine vision and data operations supporting high-throughput small molecule screening. The lab integrates cell biology advanced microscopy robotic automation and single-cell gene expression techniques to investigate mitochondrial function in health and aging. Current efforts focus on defining youthful and aging-related cellular phenotypes and understanding mitochondrial regulation in pancreaticβ-cells in type 2 diabetes.

The successful candidate will develop and apply image-analysis pipelines integrate imaging data with internal and external databases and contribute to collaborative projects across Buck laboratories.

Project Overview
This role involves developing and implementing algorithms automated workflows and analytical tools for modern microscopy and high-content imaging. Projects rely heavily on AI-based and classical segmentation methods object detection image registration and object tracking. The lab uses automated microscopes and a fully robotic high-throughput screening system generating large datasets requiring scalable automated pipelines.

The candidate will:

Translate biological questions into analytical strategies.
Build and maintain image-analysis pipelines (deep learning and classical methods).
Work with multiple data modalities including compound-library databases and phenotypic profiling datasets.
Support small-molecule screens cell-painting-based phenotyping and high-content imaging workflows.
Contribute to automation of data acquisition and experimental design.

Training will be provided in experimental technologies and the candidate will also participate in experiment execution and data interpretation.

Qualifications
Essential Requirements

PhD in bioinformatics computational biology or a related field
Experience with biological image processing and automated/pipeline-based image analysis
Proficiency in Python and common scientific/imaging libraries
Strong data analysis database and biostatistics skills
Windows and Linux proficiency
Demonstrated research portfolio or publication record
Excellent written and oral communication skills
Strong time-management skills and the ability to work independently and collaboratively

Desired Skills

Experience with data from high-throughput small-molecule screens
Experience with laboratory automation and robotic systems
Microscopic phenotypic profiling or cell-painting experience
Deep-learning tools (CNNs for object detection instance segmentation embeddings)
GUI development in Python (e.g. Flask Voila)
Pathway analysis or knowledge-graph-based approaches
Programming in R
Experience with programmatic prompting of large language models

Compensation & Benefits

Salary Range: $125000 - $160000 per year depending on experience and qualifications
Dynamic research environment using state-of-the-art techniques
Comprehensive benefits package: health insurance paid parental leave childcare assistance generous vacation/sick leave and a 401(k) with 5% employer match
Highly collaborative scientific and social community