Energy Jobline ZR
Sr Staff Bioinformatics Scientist- Early Research and Development
Energy Jobline ZR, Palo Alto, California, United States, 94306
Company Description
Guardant Health is a leading precision oncology company focused on guarding wellness and giving every person more time free from cancer. Founded in 2012, Guardant is transforming patient care and accelerating new cancer therapies by providing critical insights into what drives disease through its advanced blood and tissue tests, real‑world data and AI analytics. Guardant tests help improve outcomes across all stages of care, including screening to find cancer early, monitoring for recurrence in early‑stage cancer, and treatment selection for patients with advanced cancer.
About the Role At Guardant Health, we are committed to positively and significantly impacting patient health through technology breakthroughs that address long‑standing unmet needs in oncology. As the leader in the field of liquid biopsy, Guardant Health is looking for a bioinformatics scientist excited about conducting research and early development in an interdisciplinary environment to enable breakthroughs in cancer patient care.
We are looking for an individual who will take ownership of innovative projects that utilize high‑throughput data as well as novel assay/algorithm development to contribute to Guardant’s vision of cancer care through liquid biopsies, with a focus on early cancer screening, minimal residual disease detection, and therapy monitoring.
Essential Duties and Responsibilities
Investigate data in model‑free contexts integrating fundamental statistical and visualization techniques and biological knowledge to derive insights from large‑scale genomics and epigenomic NGS data.
Design, prototype, and analyze performance of novel statistical/machine learning models.
Develop reproducible analyses for research and development activities.
Provide written documentation and specifications.
Collaborate closely with Technology Development scientists on designing experiments to assess and improve assay performance.
Lead efforts across a highly collaborative set of teams to drive early research projects past concept phase and into later stages of development.
Communicate analysis results to stakeholders across computational and experimental teams, and cross‑disciplinary company leadership to inform product strategy.
Qualifications
Dedicated to making a difference in a rapid‑paced, collaborative, startup‑like environment
Ph.D. in computational biology, bioinformatics, genomics, statistics, computer science, machine learning, or related fields
12+ years experience in industry/academia post‑graduation
Strong background in probability and statistics, including inference approaches, iterative model development, and hypothesis testing
Demonstrated track record of developing and implementing novel algorithms that go on to be utilized in a clinically and analytically validated setting
Extensive experience with analysis of genomic and/or epigenomic NGS data
Background in cancer genomics and liquid biopsy
Ability to design and execute analyses in an open‑ended, data‑limited setting
Expertise in python and associated statistics/ML/AI/data visualization packages
Proficiency with Linux command‑line and version control tools (git and GitHub)
Excellent communication skills in an interdisciplinary environment
Capable of working west coast (PST) hours
Additional Qualifications
Experience analyzing external genomic/epigenomic datasets (e.g. TCGA, ENCODE)
Familiarity with high‑performance computing infrastructures (e.g. SGE, Spark)
Experience leveraging AWS‑based services (e.g., EC2, S3) to speed analyses
Experience writing/utilizing somatic variant calling and/or alignment software
Proficiency in C++
We prefer candidates who are able to work from our locations in Seattle, Palo Alto or San Diego, which follow a hybrid work arrangement.
Hybrid Work Model At Guardant Health, we have defined days for in‑person/onsite collaboration and work‑from‑home days for individual‑focused time. All U.S. employees who live within 50 miles of a Guardant facility will be required to be onsite on Mondays, Tuesdays, and Thursdays. We have found aligning our scheduled in‑office days allows our teams to do the best work and creates the focused thinking time our innovative work requires.
The US base salary range for this full‑time position is $163,200 to $224,400. The range does not include benefits, and if applicable, bonus, commission, or equity.
For positions based in Palo Alto, CA or Redwood City, CA, the base salary range for this full‑time position is $192,000 to $264,000. The range does not include benefits, and if applicable, bonus, commission, or equity.
Guardant Health is committed to providing reasonable accommodations in our hiring processes for candidates with disabilities, long‑term conditions, mental health conditions, or sincerely held religious beliefs. If you need support, please reach out to Peopleteam@guardanthealth.com.
Guardant Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sex (including pregnancy), gender identity, sexual orientation, age, protected veteran status, or any other protected category, and will not be discriminated against on the basis of any other protected category.
All your information will be kept confidential according to EEO guidelines.
Please visit our career page at http://www.guardanthealth.com/jobs/.
#J-18808-Ljbffr
About the Role At Guardant Health, we are committed to positively and significantly impacting patient health through technology breakthroughs that address long‑standing unmet needs in oncology. As the leader in the field of liquid biopsy, Guardant Health is looking for a bioinformatics scientist excited about conducting research and early development in an interdisciplinary environment to enable breakthroughs in cancer patient care.
We are looking for an individual who will take ownership of innovative projects that utilize high‑throughput data as well as novel assay/algorithm development to contribute to Guardant’s vision of cancer care through liquid biopsies, with a focus on early cancer screening, minimal residual disease detection, and therapy monitoring.
Essential Duties and Responsibilities
Investigate data in model‑free contexts integrating fundamental statistical and visualization techniques and biological knowledge to derive insights from large‑scale genomics and epigenomic NGS data.
Design, prototype, and analyze performance of novel statistical/machine learning models.
Develop reproducible analyses for research and development activities.
Provide written documentation and specifications.
Collaborate closely with Technology Development scientists on designing experiments to assess and improve assay performance.
Lead efforts across a highly collaborative set of teams to drive early research projects past concept phase and into later stages of development.
Communicate analysis results to stakeholders across computational and experimental teams, and cross‑disciplinary company leadership to inform product strategy.
Qualifications
Dedicated to making a difference in a rapid‑paced, collaborative, startup‑like environment
Ph.D. in computational biology, bioinformatics, genomics, statistics, computer science, machine learning, or related fields
12+ years experience in industry/academia post‑graduation
Strong background in probability and statistics, including inference approaches, iterative model development, and hypothesis testing
Demonstrated track record of developing and implementing novel algorithms that go on to be utilized in a clinically and analytically validated setting
Extensive experience with analysis of genomic and/or epigenomic NGS data
Background in cancer genomics and liquid biopsy
Ability to design and execute analyses in an open‑ended, data‑limited setting
Expertise in python and associated statistics/ML/AI/data visualization packages
Proficiency with Linux command‑line and version control tools (git and GitHub)
Excellent communication skills in an interdisciplinary environment
Capable of working west coast (PST) hours
Additional Qualifications
Experience analyzing external genomic/epigenomic datasets (e.g. TCGA, ENCODE)
Familiarity with high‑performance computing infrastructures (e.g. SGE, Spark)
Experience leveraging AWS‑based services (e.g., EC2, S3) to speed analyses
Experience writing/utilizing somatic variant calling and/or alignment software
Proficiency in C++
We prefer candidates who are able to work from our locations in Seattle, Palo Alto or San Diego, which follow a hybrid work arrangement.
Hybrid Work Model At Guardant Health, we have defined days for in‑person/onsite collaboration and work‑from‑home days for individual‑focused time. All U.S. employees who live within 50 miles of a Guardant facility will be required to be onsite on Mondays, Tuesdays, and Thursdays. We have found aligning our scheduled in‑office days allows our teams to do the best work and creates the focused thinking time our innovative work requires.
The US base salary range for this full‑time position is $163,200 to $224,400. The range does not include benefits, and if applicable, bonus, commission, or equity.
For positions based in Palo Alto, CA or Redwood City, CA, the base salary range for this full‑time position is $192,000 to $264,000. The range does not include benefits, and if applicable, bonus, commission, or equity.
Guardant Health is committed to providing reasonable accommodations in our hiring processes for candidates with disabilities, long‑term conditions, mental health conditions, or sincerely held religious beliefs. If you need support, please reach out to Peopleteam@guardanthealth.com.
Guardant Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sex (including pregnancy), gender identity, sexual orientation, age, protected veteran status, or any other protected category, and will not be discriminated against on the basis of any other protected category.
All your information will be kept confidential according to EEO guidelines.
Please visit our career page at http://www.guardanthealth.com/jobs/.
#J-18808-Ljbffr