Staff Computational Biologist

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

📋 Description

• Lead the analysis and interpretation of molecular and clinical data aimed at early cancer detection.

• Act as a key thought leader within the Computational Science team.

• Propose research hypotheses and identify areas for enhancement in computational models and assays.

• Plan, scope, and execute research initiatives with a multidisciplinary team, managing projects from ideation to implementation.

• Develop bioinformatics pipelines for the processing and analysis of high-throughput NGS data.

• Collaborate with wet lab scientists to refine and iterate on experimental methods.

• Provide real-time evaluations of assay performance, quality control, and clinical/diagnostic utility.

• Work with the broader team to further the development of next-generation assays for early cancer detection.

⛳️ Requirements

• PhD degree in computational biology, cancer biology, statistics, bioinformatics, or a related quantitative discipline.

• Over 6 years of experience in the scientific industry applying computational techniques to biological discovery and product development.

• Preferably, experience in cancer or diagnostic applications within the industry.

• Significant experience in NGS assay and pipeline development.

• Proven track record of implementing complex workflows for high-throughput NGS data processing.

• Excellent quantitative reasoning and data analysis abilities.

• Strong computational and programming capabilities.

• Comprehensive experience with Python statistical packages such as Numpy, Matplotlib, and Pandas, or similar languages like R.

• Exceptional oral and written communication skills.

• Capability to work collaboratively with both computational and experimental scientists.

• Nice to have: expert knowledge of chromatin biology, liquid biopsy, DNA methylation, and early cancer detection.

• Nice to have: substantial experience with DNA methylation data for biomarker discovery research.

• Nice to have: experience in developing, applying, and evaluating statistical and/or machine learning algorithms.

🏝️ Benefits

• Equity.

• Cash bonuses.

• Comprehensive medical, financial, and other benefits depending on the position offered.

• Flexible hybrid or fully remote work arrangement.