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Director Spatial Statistics Jobs (NOW HIRING)

A.C. Coy

Sr. Data Analyst (part-time, hybrid)

Arlington, VA · Hybrid

$98.90K - $124.80K/yr

Tier One Technologies is looking for a Data Analyst for our direct US Government client. * This ... spatial statistics, and/or programming languages. * Write programming codes, such as DAX and data ...

A.C. Coy

Sr. Data Analyst (part-time, hybrid)

Arlington, VA · On-site +1

$98.90K - $124.80K/yr

Tier One Technologies is looking for a Data Analyst for our direct US Government client. * This ... spatial statistics, and/or programming languages. * Write programming codes, such as DAX and data ...

A.C. Coy

Sr. Data Analyst (part-time, hybrid)

Arlington, VA · Hybrid

$98.90K - $124.80K/yr

* Tier One Technologies is looking for a Data Analyst for our direct US Government client. * This ... spatial statistics, and/or programming languages. * Write programming codes, such as DAX and data ...

The Pennsylvania State University

... spatial statistics, and/or landscape modeling. The position is open to those who study any type of ... Questions about the application process should be directed to Mary Jo Schillings at mjs9@psu.edu.

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How much do director spatial statistics jobs pay per year?

As of Jun 1, 2026, the average yearly pay for director spatial statistics in the United States is $78,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $79,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Spatial Statistics jobs? The most popular types of Spatial Statistics jobs are:
Director Spatial Statistics jobs near you
Director, Molecular Pathology, Translational Sciences, Translational Research.

Director, Molecular Pathology, Translational Sciences, Translational Research.

Revolution Medicines

Redwood City, CA • Hybrid

Other

Posted 4 days ago

Job description

The Opportunity:

As a Director, Molecular Pathology, you will be a key member of a cross-functional Translational Sciences Team, reporting to the Senior Director and Head of Translational Sciences within Translational Research and will:

  • Biomarker Strategy: Define and execute molecular and digital pathology-driven biomarker strategies.

  • Integration of Advanced Modalities: Lead adoption of molecular pathology and spatial technologies (to support translational research and broader BDR needs.

  • Digital & Computational Pathology: Drive implementation of whole-slide imaging, AI/ML-based image analysis, and integration of spatial biomarker analytics into decision-making.

  • Data Interpretation & Reporting: Provide expert interpretation of pathology data, ensuring robust correlation with clinical outcomes and mechanistic insights.

  • Cross-functional Leadership: Collaborate with Translational Medicine, Bioinformatics, and Clinical Development colleagues to implement candidate biomarkers into Translational Biomarker plans for RAS(ON) inhibitors in alignment with overarching clinical development strategies.

Responsibilities

  • Scientific Leadership & Execution: Perform and interpret multiplex spatial biomarker datasets to inform Translational hypotheses and clinical strategies. Establish QC standards for data acquisition and analysis.

  • Cross-Functional Collaboration: Partner within Research and Clinical teams to integrate spatial biomarker findings into translational plans. Collaborate with Systems Biology and Information Sciences teams to enable visualization tools

  • External Partnership Management: Serve as primary scientific liaison to CROs for spatial biomarker workflows; review deliverables, troubleshoot issues, and drive continuous improvement.

  • Capability Building: Document best practices and SOPs for spatial biomarker workflows; recommend platform upgrades and pilot evaluations.

Required Skills, Experience & Education:

  • 10+ years in digital pathology/spatial biology within pharma, biotech, or CRO settings.

  • Scientific Expertise: Deep knowledge of spatial biology (e.g. spatial transcriptomics, Visium, Xenium, GeoMx, MerFish, etc.); ability to translate complex data into actionable insights

  • Execution Excellence: Bias for action; delivers high-quality analyses under tight timelines

  • Collaboration & Influence: Builds strong relationships across functions and with external partners; communicates clearly and persuasively.

  • Innovation & Continuous Improvement: Identifies opportunities to enhance workflows and adopt emerging technologies.

  • PhD/MD or equivalent in Cancer Biology, Translational Sciences, Pathology or related discipline.


Preferred Skills:

  • Hands-on experience with spatial pathology workloads.

  • Familiarity with AI/ML-assisted pathology workflows and spatial statistics.

  • Proven ability to manage CRO relationships and deliver time-sensitive biomarker analyses.

#LI-Hybrid  #LI-LN1

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