Computational Biologist I

This is a fully remote position, open to applicants in United States.

📋 Description

• Plan and implement development experiments for Freenome’s multiomics cancer screening tests.

• Collaborate across functions with computational, development, regulatory, and quality leaders to formulate and execute a regulated development strategy aimed at securing FDA approval.

• Create computational methods and interpret intricate experimental data to refine and validate technology for sample collection, preparation, and detection.

• Design and carry out experimental design and analysis plans for Development, Verification, and Validation studies, partnering with Biostatistics, Development, and Pre-Analytics teams.

• Collaborate with molecular and computational research teams to develop Freenome’s IVD products for blood-based molecular assays, encompassing cell-free DNA, proteins, and various biomarkers.

• Contribute to the advancement and launch of cancer screening technologies.

• Report directly to Aaron Richardson.

⛳️ Requirements

• Post-graduate degree (MS or PhD) in statistics, computational biology, bioinformatics, cancer biology, or a related quantitative discipline.

• 2-3+ years of industry experience (for Sr. Scientist level).

• Proficiency in experimental design and analysis of high-throughput, quantitative technologies in genomics, epigenomics, transcriptomics, or proteomics (e.g., target capture with UMI, Hi-C, ATAC-seq, RNA-seq, bisulfite sequencing, microarrays, mass spectrometry, immunoassays).

• Knowledge of and capability to select and utilize bioinformatics tools for the aforementioned molecular assays.

• Experience in applied statistics, including hypothesis testing, regression techniques, and proper use of simulation.

• Proficient in data analysis and visualization using R (tidyverse), or Python statistical libraries (Numpy, Matplotlib, Pandas), or equivalent, under version control.

• Exceptional oral and written communication abilities with a strong attention to detail.

• Capacity to collaborate effectively within a cross-functional team consisting of computational and experimental scientists.

• Experience in the development of diagnostic devices within a regulated environment (PMA, 510(k), CE-IVD) is preferred (for Sr. Scientist level).

🏝️ Benefits

• Equity

• Cash bonuses

• Comprehensive range of medical, financial, and other benefits based on the position offered

• Equal-opportunity employer and a workplace that values diversity