Scientist, Molecular & Cellular Biology – Omics Focus

Celcuity is a clinical-stage biotechnology company seeking a Molecular and Cellular Biology Scientist to drive innovation at the intersection of experimental biology and computational analysis. This role plays a critical part in uncovering complex biological mechanisms through multi-omics data and supporting our mission to improve cancer diagnostics and treatment.

What You’ll Do:

• Apply your knowledge of biochemistry and cell biology to develop testable hypotheses for dysfunctional disease mechanisms and therapeutic interventions.
• Design and execute omics experiments (RNA-seq, single-cell, spatial transcriptomics) using in vitro and in vivo models.
• Build and run reproducible data analysis workflows in R and/or Python.
• Develop algorithms to integrate and analyze large-scale multi-omics datasets (DNA, RNA, protein).
• Apply statistical and machine learning approaches to identify functional states and metabolic perturbations in biological systems.
• Maintain rigorous data documentation, validation, and storage practices in cloud-based environments.

What We’re Looking For:

• Ph.D. (or equivalent experience) in biological or biochemical sciences with emphasis on omics.
• Strong background in cell signaling, molecular biology, and systems biochemistry.
• Hands-on experience with experimental workflows and analysis pipelines in R/Python.
• Proven experience wrangling, integrating, and analyzing complex datasets.
• Commitment to code reproducibility, data integrity, and collaborative research.

Bonus If You Have:

• Experience with spatial transcriptomics, proteomics, or cloud-based data environments.
• Familiarity with public repositories and structured query languages.
• Knowledge of supervised/unsupervised ML techniques and pathway enrichment tools.

Why Celcuity?

Be part of a growing team translating advanced biological insights into real-world clinical impact. At Celcuity, you'll work with a collaborative team of scientists and engineers committed to solving some of the most complex challenges in oncology.