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Scientist - Computational Pathology

Contract: South San Francisco, California, US

Salary Range: 55.00 - 60.00 | Per Hour

Job Code: 368363

End Date: 2026-04-30
Days Left: 18 days, 3 hours left

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To Discuss more about this job opportunity, please reach out to Deepak Arya (LinkedIn URL - www.linkedin.com/in/deepak-arya-8a79aa22a/ ), email your updated resume at Email - ...@collabera.com . Thank you!

Pay Range: $55 to $60 an hour.

Industry: Pharmaceutical

Work Type: Can be Hybrid or Remote in South San Francisco, CA
Contract Duration: 12 Months (Possibility of Extension)

Job Summary:
We are seeking a highly skilled Computational Pathology Scientist to support advanced research in spatial biology and translational science within a large enterprise environment. This role focuses on analyzing complex tissue based datasets to enable biomarker discovery and mechanism of action studies. The ideal candidate will bring strong expertise in spatial transcriptomics and high dimensional imaging data. You will collaborate with cross functional scientific teams and contribute to impactful research initiatives. This is a hands on role requiring both technical depth and scientific communication skills.

Key Responsibilities:

• Develop and implement pipelines for spatial transcriptomics and high plex imaging data analysis
• Perform comprehensive image analysis including tissue classification cell segmentation and phenotyping
• Conduct spatial analysis including clustering neighborhood and proximity analysis
• Collaborate with pathologists and scientists to support research programs
• Train team members on computational workflows and spatial analysis methods
• Present analytical findings and insights to stakeholders in a clear and structured manner
• Manage multiple datasets and ensure data quality and reproducibility

Required Qualifications:

• Master degree or PhD in computational biology biological sciences engineering computer science or related field
• Strong programming skills in Python and R
• Experience with spatial transcriptomics or proteomics data analysis
• Experience with high plex imaging data and analysis workflows
• Familiarity with digital pathology platforms such as Halo Visiopharm or QuPath
• Strong analytical and communication skills
• Ability to work independently and manage multiple priorities

Preferred Qualifications:

• Experience with advanced spatial biology technologies
• Knowledge of histology and tissue microanatomy
• Experience with clustering and statistical modeling techniques
• Background in translational research or biomarker discovery
• Experience working in collaborative scientific environments

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable)
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Job Requirement

• Python
• R
• Spatial Transcriptomics
• Image Analysis
• Cell Segmentation
• Digital Pathology
• Data Pipelines

Reach Out to a Recruiter

• Recruiter
• Email
• Phone
• Deepak Arya
• ...@collabera.com

Apply Now