Computational Biologist
Conception- Full Time
- Mid-level (3 to 4 years)
Candidates should possess a Bachelor’s degree in Bioinformatics, Statistics, Computer Science, Molecular Biology, or a related field, and have at least 2 years of experience in bioinformatics, statistics, or molecular biology. Strong skills in programming languages such as Python or R are required, along with experience in data analysis and interpretation, and familiarity with machine learning techniques are preferred.
As a Computational Biologist I, you will plan and execute development experiments for Freenome’s multiomics cancer screening tests, partner cross-functionally with various teams to develop and execute a regulated development strategy, and use quantitative skills to develop computational methods and interpret complex experimental results to optimize and validate innovative technology for sample collection, preparation, and detection. You will also contribute to the development and writing of analysis plans and reports for regulatory filings and collaborate with teams including Regulatory, Quality, Molecular Research and Development, Laboratory Operations, Biostatistics, Computational Science, and Engineering.
Biotechnology company for early cancer detection
Freenome focuses on improving cancer detection through advanced blood tests. The company uses a multiomics approach, analyzing various biological data types, including genomics and proteomics, to find cancer markers in blood samples. This method allows for non-invasive early detection of cancer, which is crucial for effective treatment. Freenome differentiates itself from competitors by its unique combination of data analysis techniques and its commitment to clinical trials and research collaborations. The company's goal is to enhance cancer diagnostics and make early detection accessible to healthcare providers and patients, ultimately aiming to save lives through timely intervention.