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☆☆☆☆☆

Hire Dr. Rina G.

United States

USD 85 /hr

Discovery & Translational Oncology Scientist | Molecular Cell Signaling | Scientific Project & Grant Review Expert

Profile Summary

I am a PhD-trained oncology scientist with 13+ years of experience across discovery and translational research, focusing on how cancer cells respond to targeted therapies and how signaling pathways drive phenotype, sensitivity, and resistance. My work has centered on breast cancer cell-line models, small-molecule inhibitors (single agents and combinations), and the discovery of mechanistic biomarkers that explain therapeutic effects or failure modes. I specialize in turning complex biological data into clear, evidence-based insights. Whether you need a rigorous literature review, a mechanistic interpretation of experimental results, or a structured scientific brief to support biotech research or AI/ML model development, I can translate data and published evidence into actionable conclusions. In addition to my bench and analytical background, I bring strong experience in scientific project management and grant review, having overseen multidisciplinary review panels and evaluated complex research proposals for clarity, scientific rigor, and translational relevance. Clients work with me when they need: High-quality literature synthesis Mechanistic oncology and signaling analysis Support for biomarker discovery or hypothesis development Scientific evaluation of research strategies, study design, or AI-biology workflows My approach is precise, efficient, and grounded in both biological logic and real-world research experience.s—fast, rigorous, and grounded in oncology—I can help.

Subject Matter Expertise

• ☆ Biochemistry
• ☆ Molecular Biology
• ☆ Biomarkers
• ☆ Microarrays
• ☆ Omics
• ☆ Transcriptomics
• ☆ Proteomics
• ☆ PCR
• ☆ Molecular Cloning
• ☆ Gene Expression Analysis
• ☆ Recombinant DNA
• ☆ RNA Sequencing
• ☆ Kinases
• ☆ Data Analysis
• ☆ Predictive Modeling & Analytics
• ☆ Data Exploration
• ☆ Text Mining & Analytics
• ☆ Biomarker Discovery
• ☆ Blotting
• ☆ Immunohistochemistry
• ☆ Drug Discovery
• ☆ Drug Target Identification
• ☆ Phenotypic Assays
• ☆ Drug Development
• ☆ Preclinical Research
• ☆ Preclinical Pharmacology
• ☆ Drug Efficacy Testing
• ☆ Oncology

Services

• Writing
• Research
• Consulting
• Data & AI

Writing Medical Writing, Technical Writing, General Proofreading & Editing

Research Gap Analysis, Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Text Mining & Analytics, Data Insights

Work Experience

General Dynamics (United States)

August 2024 - Present

Scientific Review Officer

General Dynamics Information Technology

July 2024 - Present

Founder /CEO and Creative Director

Atelier Vertex

November 2013 - December 2024

Co-founder and Research Analyst

53Cap

February 2022 - October 2023

Scientist IV

UCSF

January 2011 - June 2013

Postdoctoral Scientist

UCSF

September 2006 - January 2011

Senior Scientist

AITIA

February 2002 - June 2005

Education

PhD, Biochemistry

Cornell University

July 1996 - January 2001

Bachelors, Biology

State University of New York at Stony Brook - United States

September 1991 - May 1995

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Gendelman R, Xing H, Mirzoeva OK, Sarde P, Curtis C, Feiler HS, McDonagh P, Gray JW, Khalil I, Korn WM (2017). Bayesian Network Inference Modeling Identifies TRIB1 as a Novel Regulator of Cell-Cycle Progression and Survival in Cancer Cells . Cancer research.

Mirzoeva OK, Das D, Heiser LM, Bhattacharya S, Siwak D, Gendelman R, Bayani N, Wang NJ, Neve RM, Guan Y, et al. (2009). Basal subtype and MAPK/ERK kinase (MEK)-phosphoinositide 3-kinase feedback signaling determine susceptibility of breast cancer cells to MEK inhibition . Cancer research.

Haberichter T, Mädge B, Christopher RA, Yoshioka N, Dhiman A, Miller R, Gendelman R, Aksenov SV, Khalil IG, Dowdy SF (2007). A systems biology dynamical model of mammalian G1 cell cycle progression . Molecular systems biology.

Gendelman R, Burton-Wurster NI, MacLeod JN, Lust G (2002). The cartilage-specific fibronectin isoform has a high affinity binding site for the small proteoglycan decorin . The Journal of biological chemistry.

Burton-Wurster N, Chen H, Gendelman R, Jackson ML, Gagliardo LF, Gu DN, Zelko RR, Lust G, MacLeod JN (2002). Specific immunological detection of the (V+C)(-) fibronectin isoform . Matrix biology : journal of the International Society for Matrix Biology.