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Researcher information

What is a researcher?

Researchers are professionals who systematically investigate topics to discover new information, validate existing knowledge, or solve problems. They work in various fields such as science, medicine, social sciences, and technology. Researchers design studies, collect and analyze data, and present their findings through reports, articles, or presentations. Their work is crucial for advancing knowledge and innovation in many industries.

What are the key skills and qualifications needed to thrive as a researcher, and why are they important?

To thrive as a Researcher, you need strong analytical skills, critical thinking, and a solid educational background relevant to the research field, often at least a master's or doctoral degree. Familiarity with data analysis software, laboratory equipment, academic databases, and research methodologies is typically required. Excellent written and verbal communication, curiosity, and collaboration are standout soft skills in this role. These skills ensure rigorous, innovative research outcomes and effective knowledge sharing within the scientific community.

What do researchers do?

The main duty of a researcher is to perform research, the type depending greatly on the field in which you work. For example, someone who works in documentary film might do archival research and look for visual material that would fit well with a particular film. A researcher in a scientific field, such as biomedical technology, may look into particular drug treatments and provide information to clinical trial designers or other academic researchers. Many professors or academics perform research as part of their scholarly duties.

What are some common challenges researchers face when working on collaborative projects, and how can they be addressed?

Researchers often encounter challenges such as coordinating across different disciplines, aligning project goals, and managing communication within collaborative teams. These issues can be addressed by establishing clear roles and responsibilities from the outset, holding regular meetings to ensure alignment, and using collaborative tools to track progress. Open communication and mutual respect among team members are essential for overcoming misunderstandings and fostering a productive research environment.

What is the difference between Researcher vs Data Analyst?

AspectResearcherData Analyst
Required CredentialsBachelor's or Master's in relevant field; often advanced degrees for research rolesBachelor's or Master's in statistics, data science, or related fields
Work EnvironmentAcademic, laboratory, or research institutions; sometimes corporate R&DBusiness, finance, marketing, or healthcare settings; often office-based
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, consulting firms, government agencies
Common Search & ComparisonResearcher vs Data Analyst

The main difference between a Researcher and a Data Analyst lies in their focus and work environment. Researchers typically conduct experiments, develop theories, and work in academic or research settings, often requiring advanced degrees. Data Analysts analyze data to inform business decisions, usually working in corporate environments with a focus on data interpretation and reporting. While both roles require strong analytical skills, their daily tasks and industry applications differ significantly.

Do I need a PhD to be a researcher?

A PhD is not always required to be a researcher, as many roles accept candidates with a bachelor's or master's degree, especially if they have relevant skills and experience. However, for advanced research positions or academic roles, a PhD is often preferred or required. Skills in data analysis, critical thinking, and familiarity with research tools are also important for success in research roles.
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Infographic showing various Researcher job openings in Rohnert Park, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Postdoctoral Researcher - Age Rejuvenation Screening & Data Analysis

Buck Institute

Novato, CA • On-site

$80K - $100K/yr

Full-time

Medical, Retirement, PTO

Re-posted 3 days ago

Job description

POSITION SUMMARY
The Ellerby and Gerencser labs at the Buck Institute seek a Postdoctoral Researcher (PhD required) 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 cellular function in health and aging. Current efforts focus on defining youthful and aging-related cellular phenotypes to use in high-throughput screening efforts across multiple labs at the Buck Institute.
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: $80,000-100,00 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 Alzheimer’s, Parkinson’s, 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:
Professor Lisa M. Ellerby, Ph.D., and Research Associate Professor Akos Gerencser MD. Ph.D.
lellerby@buckistitute.org   
agerencser@buckinstitute.org 
 

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