Join Freenome as a Computational Biologist to develop early, noninvasive tests for cancer detection using your expertise in bioinformatics and NGS.
Posted by employer 1 month ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
- Education
- PhD
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the Computational Biologist at Freenome will focus on analyzing molecular and clinical data to advance noninvasive cancer detection tests. Key skills include expertise in next-generation sequencing (NGS) assay development, bioinformatics, and strong programming capabilities, particularly in Python. This position is ideal for candidates with a PhD in a relevant quantitative field and a collaborative mindset, as they will work closely with multidisciplinary teams to innovate diagnostic products. Freenome's emphasis on cross-functional collaboration highlights its commitment to advancing cancer research.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Freenome's career page.
- Freenome has 28 other open roles including Technical Product Manager III, Senior Bioinformatics Research Engineer, Senior Software Engineer II.
- 6527 active Python roles on Joblaze right now.
- 33 active Statistics roles on Joblaze right now.
- 28 active molecular biology roles on Joblaze right now.
- Salary band is in line with the typical range for comparable tech roles (median ~$126,887).
- Pays more than 31% of the 3228 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- Is the Computational Biologist role remote?
- It's hybrid — Freenome expects some on-site time in Remote.
- What's the salary range?
- Freenome lists $131,325–$189,525 for this role.
- Where is the role based?
- Freenome is hiring for this position in Remote.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: NGS, Python, Statistics, bioinformatics, molecular biology.
- What seniority level is this role?
- Freenome targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Computational Biologist role at Freenome.
From the original posting
About this opportunity:
At Freenome, we are seeking a 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&D, and Computational Biology, Assay Development to enable the concept and feasibility of multiple molecular assays as part of Freenome’s diagnostic products.
The role reports to a Manager and Senior Staff Computational Biologist. This position can be a hybrid or fully remote role.
What you’ll do:
- Lead the analysis and interpretation of molecular and clinical data in the context of early cancer detection, serving as a thought leader on the Computational Science team.
- 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.
- Develop bioinformatics pipelines to enable high throughput NGS data processing and analysis.
- 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.
- 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.
Must haves:
- PhD degree in computational biology, cancer biology, statistics, bioinformatics, or related quantitative field.
- Experience in NGS assay and pipeline development. Demonstrated track record of implementing complex workflows for high throughput NGS data processing.
- Strong quantitative reasoning and data analysis skills, with a demonstrated ability to apply them effectively to relevant scientific problems.
- Strong computational and programming skills, including thorough experience with Python statistical packages (Numpy, Matplotlib, Pandas) or equivalents in other languages like R.
- Excellent oral and written communication skills to communicate to both scientific and broader audiences.
- Ability to work on a cross-functional team in our highly collaborative environment, working with both computational and experimental scientists.
Nice to haves:
- Expert knowledge of chromatin biology, liquid biopsy, DNA methylation and their relevance in cancer early detection.
- Extensive experience working with DNA methylation data for biomarker discovery research.
- Experience in developing, applying, and evaluating statistical and/or machine learning algorithms.
Benefits and additional information:
The US target range of our base salary rate for new hires is $131,325 - $189,525. 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. 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 @ freenome.com/job-openings/ for additional company information.
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 law.
Applicants have rights under Federal Employment Laws.
- Family & Medical Leave Act (FMLA)
- Equal Employment Opportunity (EEO)
- Employee Polygraph Protection Act (EPPA)
California applicants please review the CCPA Notice at Collection here:
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