Staff Computational Biologist at Freenome

Worldwide

$188.275k - $270.375k

<p><strong>About this opportunity:</strong><strong><br></strong></p> <p><span style="font-weight: 300;">At Freenome, we are seeking a Staff Computational Biologist to help grow the Freenome Computational Biology, Assay Research (CBAR) team. As part of our team, you will apply your scientific expertise to the development of early, noninvasive tests for cancer detection. With a strong background in NGS assay development, bioinformatics, statistics, and molecular biology, you will design and execute research studies to drive early research of prototype cancer early detection products using cfDNA as biomarker. You will work closely and cross-functionally with many teams, including Molecular Research and Development, Model R&amp;D, &nbsp;and Computational Biology, Assay Development to enable the concept and feasibility of multiple molecular assays as part of Freenome’s diagnostic products.</span></p> <p><span style="font-weight: 300;">The role reports to a Manager and Senior Staff Computational Biologist. This position can be a hybrid or fully remote role.<br></span></p> <p><strong>What you’ll do:</strong></p> <ul> <li style="font-weight: 300;"><span style="font-weight: 300;">Lead the analysis and interpretation of molecular and clinical data in the context of early cancer detection, serving as a key thought leader on the Computational Science team.</span></li> <li style="font-weight: 300;"><span style="font-weight: 300;">Suggest research hypotheses and areas for potential computational model and assay improvement; then plan, scope, and execute associated research in partnership with a multidisciplinary team, owning projects from ideation through implementation.</span></li> <li style="font-weight: 300;"><span style="font-weight: 300;">Develop bioinformatics pipelines to enable high throughput NGS data processing and analysis.</span></li> <li style="font-weight: 300;"><span style="font-weight: 300;">In collaboration with wet lab scientists, rapidly characterize and iterate on experimental methods by providing real-time assessments of assay performance, quality control, and clinical/diagnostic utility.</span></li> <li style="font-weight: 300;"><span style="font-weight: 300;">Remain at the forefront of molecular techniques in oncology, and collaborate with the larger team to bring forward the next generation of assays for early cancer detection.<br></span></li> </ul> <p><strong>Must haves:</strong><strong><br></strong></p> <ul> <li><span style="font-weight: 300;">PhD degree in computational biology, cancer biology, statistics, bioinformatics, or related quantitative field.</span></li> <li><span style="font-weight: 300;">6+ years of scientific industry experience applying computational techniques for biological discovery and product development, ideally to cancer or diagnostics applications in industry.</span></li> <li><span style="font-weight: 300;">Extensive experience in NGS assay and pipeline development. Demonstrated track record of implementing complex workflows for high throughput NGS data processing.</span></li> <li><span style="font-weight: 300;">Strong quantitative reasoning and data analysis skills, with a demonstrated ability to apply them effectively to relevant scientific problems.</span></li> <li><span style="font-weight: 300;">Strong computational and programming skills, including thorough experience with Python statistical packages (Numpy, Matplotlib, Pandas) or equivalents in other languages like R.</span></li> <li><span style="font-weight: 300;">Excellent oral and written communication skills to communicate to both scientific and broader audiences.</span></li> <li><span style="font-weight: 300;">Ability to work on a cross-functional team in our highly collaborative environment, working with both computational and experimental scientists.<br></span></li> </ul> <p><strong>Nice to haves:</strong></p> <ul> <li><span style="font-weight: 300;">Expert knowledge of chromatin biology, liquid biopsy, DNA methylation and their relevance in cancer early detection.<br></span></li> <li><span style="font-weight: 300;">Extensive experience working with DNA methylation data for biomarker discovery research.</span></li> <li><span style="font-weight: 300;">Experience in developing, applying, and evaluating statistical and/or machine learning algorithms.<br></span></li> </ul> <p><strong>Benefits and additional information:</strong></p> <p><span style="font-weight: 300;">The US target range of our</span><span style="font-weight: 300;"> base salary rate</span><span style="font-weight: 300;"> for new hires is $188,275 - $270,375.</span><span style="font-weight: 300;">&nbsp;You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.&nbsp; Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ <span style="font-weight: 300;"><em><a href="http://freenome.com/job-openings/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=http://freenome.com/job-openings/&amp;source=gmail&amp;ust=1708620295766000&amp;usg=AOvVaw0K-a4lTJ0RquYagpqS-yp4">freenome.com/job-openings/</a></em></span></span><span style="font-weight: 300;">&nbsp;for additional company information.&nbsp;&nbsp;</span></p> <p><span style="font-weight: 300;">Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local </span><span style="font-weight: 300;">law.</span></p> <p><em><span style="font-weight: 300;">Applicants have rights under Federal Employment Laws.&nbsp;&nbsp;</span></em></p> <ul> <li><a href="https://www.dol.gov/agencies/whd/posters/fmla" target="_blank"><em><span style="font-weight: 300;">Family &amp; Medical Leave Act (FMLA)</span></em></a></li> <li><a href="https://www.dol.gov/agencies/ofccp/posters" target="_blank"><em><span style="font-weight: 300;">Equal Employment Opportunity (EEO)</span></em></a></li> <li><a href="https://www.dol.gov/agencies/whd/posters/employee-polygraph-protection-act" target="_blank"><em><span style="font-weight: 300;">Employee Polygraph Protection Act (EPPA)</span></em></a></li> </ul> <p><em><span style="font-weight: 300;">California applicants please review the CCPA Notice at Collection here:</span></em></p> <ul> <li><a href="https://www.freenome.com/ccpa-privacy-notice-for-freenome-california-job-applicants/" target="_blank"><em><span style="font-weight: 300;">California Consumer Privacy Act (CCPA)</span></em></a></li> </ul> <p><span style="color: #ecf0f1;"><em><span style="font-weight: 300;">#LI-REMOTE</span></em></span></p>