Staff Computational Biologist

Remotedxb; Dubai; On-site; AED 180,000 - 240,000; Full time

Job summary

Freenome seeks a senior leader for the Computational Science team to analyze cancer molecular signatures and guide model development that characterizes biological changes in cancer. You will execute computational analyses on data from WGS, WGBS, RNA-seq, and protein quantitation, and design novel statistical models within cancer biology.

You will identify research hypotheses, collaborate with wet lab and development teams, and mentor cross‑functional computational biologists to advance product

Qualifications

• PhD or equivalent experience in computational biology, cancer biology, statistics, or bioinformatics
• At least 8 years of post-PhD experience in biological discovery and product development, preferably in cancer or diagnostics
• Deep expertise in cancer and molecular biology
• Extensive experience with high‑throughput technologies (Methyl-seq, ATAC-seq, RNA-seq, Hi‑C, etc.)
• Proficiency in Python (NumPy, Matplotlib, Pandas) and modeling packages (Scikit-learn, TensorFlow, PyTorch) or R/C/C++

Responsibilities

• Lead analysis and interpretation of cancer molecular signatures.
• Guide development of models that characterize biological changes in cancer.
• Execute rigorous computational analyses on data from molecular assays (WGS, WGBS, RNA‑seq, proteomics).
• Design novel statistical models for evaluating data types in cancer biology.
• Identify research hypotheses and drive related projects with a skilled team.
• Solve complex analytical challenges related to cfDNA and proteins.
• Partner with molecular biologists and development scientists to translate models into products.
• Support the professional development of cross‑functional computational biologists.

Skills

Statistics

Cancer biology

Bioinformatics

Python (NumPy, Pandas)

Machine learning

Data analysis

Education

PhD or equivalent in computational biology / cancer biology / statistics / bioinformatics

Tools

Methyl-seq

ATAC-seq

RNA-seq

Hi-C

TensorFlow

PyTorch

Scikit-learn

R/C/C++

Job description

Responsibilities

• Serve as a key thought‑leader on the Computational Science team, leading the analysis and interpretation of cancer's molecular signatures
• Guide and contribute to the development of models that characterize biological changes associated with cancer
• Execute rigorous computational analyses on data from molecular assays including WGS, WGBS, RNA-seq, and protein quantitation
• Design novel statistical models for the evaluation and modeling of data types within the context of cancer biology
• Identify research hypotheses and execute associated research projects with a skilled team
• Solve complex analytical challenges related to cell‑free circulating nucleic acids and proteins
• Partner with molecular biologists to refine wet lab experiments and development scientists to turn models into products
• Support the professional development of cross‑functional computational biologists

Requirements

• PhD or equivalent experience in computational biology, cancer biology, statistics, or bioinformatics
• At least 8 years of post-PhD experience in biological discovery and product development, preferably in cancer or diagnostics
• Deep expertise in cancer and molecular biology
Extensive experience with high‑throughput technologies (Methyl-seq, ATAC-seq, RNA-seq, Hi‑C, etc.)
• Proficiency in Python (Numpy, Matplotlib, Pandas) and modeling packages (Scikit-learn, TensorFlow, PyTorch) or R/C/C++

Preferred Qualifications

• Experience training or applying biological sequence‑to‑function models
• Experience with single‑cell genomic or transcriptomic models
• Experience modeling cell‑free DNA (cfDNA) signals for early disease detection

About the Company

Freenome is dedicated to changing the entire landscape of cancer through advanced computational science and molecular diagnostics.