2

Full Time Cancer Bioinformatics Jobs in California

Showing results 21-32

Full Time Cancer Bioinformatics information

What is a full time cancer bioinformatics?

A full time cancer bioinformatics job involves using computational and statistical methods to analyze biological data related to cancer. Professionals in this role work with large datasets, such as genomic or clinical data, to identify patterns and insights that can advance cancer research, diagnosis, and treatment. They often collaborate with biologists, clinicians, and other researchers to interpret data, develop new analysis tools, and contribute to scientific publications. The role typically requires expertise in biology, computer science, and data analysis, and is usually based in research institutions, hospitals, or biotech companies.

What are the key skills and qualifications needed to thrive as a full time cancer bioinformatician?

To thrive as a Full Time Cancer Bioinformatician, you need expertise in molecular biology, genomics, and strong programming skills (often in Python or R), usually supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with high-throughput sequencing data, bioinformatics pipelines, and tools such as GATK, Bioconductor, and cloud computing platforms is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for interpreting complex data and collaborating with interdisciplinary teams. These skills ensure accurate data analysis, meaningful insights, and successful integration of bioinformatics into cancer research and clinical applications.

What are some common challenges faced by professionals in a full time cancer bioinformatics role, and how can they be addressed?

Professionals in full-time cancer bioinformatics roles often encounter challenges such as managing large-scale genomic datasets, integrating heterogeneous data sources, and staying updated with rapidly evolving analytical tools. Collaborating closely with both laboratory scientists and clinicians can also present communication hurdles, as translating complex bioinformatics results into actionable insights requires interdisciplinary understanding. These challenges can be addressed through continuous learning, leveraging robust data management pipelines, and fostering open communication within multidisciplinary teams.

What is the difference between Full Time Cancer Bioinformatics vs Full Time Genomic Data Analyst?

AspectFull Time Cancer BioinformaticsFull Time Genomic Data Analyst
Required CredentialsDegree in Bioinformatics, Computational Biology, or related field; experience with cancer datasetsDegree in Bioinformatics, Data Science, or related field; experience with genomic data analysis
Work EnvironmentResearch labs, biotech companies, academic institutions focusing on cancer researchHealthcare institutions, research organizations analyzing genomic data
Industry UsagePrimarily in cancer research and personalized medicineBroader genomic data analysis across various health conditions

Full Time Cancer Bioinformatics specialists focus on analyzing cancer-specific datasets, often requiring specialized knowledge in oncology. In contrast, Full Time Genomic Data Analysts work with a wider range of genomic data across multiple health areas. Both roles require similar technical skills but differ in their specific focus and application within the industry.

What are the most commonly searched types of Cancer Bioinformatics jobs in California?

The most popular types of Cancer Bioinformatics jobs in California are:

What are popular job titles related to Full Time Cancer Bioinformatics jobs in California?

For Full Time Cancer Bioinformatics jobs in California, the most frequently searched job titles are:

What job categories do people searching Full Time Cancer Bioinformatics jobs in California look for?

The top searched job categories for Full Time Cancer Bioinformatics jobs in California are:

What cities in California are hiring for Full Time Cancer Bioinformatics jobs?

Cities in California with the most Full Time Cancer Bioinformatics job openings:

Staff Software Engineer - Commercial - #4903

Grail

Menlo Park, CA • On-site

$169K - $224K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.
 
We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.
 
GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.
 
For more information, please visit grail.com

Grail is looking for a Staff level full-stack engineer who enjoys working on a broad array of software systems and projects. The team is responsible for patient-facing software used for The Galleri® Test as well as gathering clinical data. We strive to build a robust and scalable infrastructure as well as easy-to-use UI interfaces. Our technical stack consists of Go, AWS, Kubernetes, Microservices, and React.

This role is based in Menlo Park, California, and will move to Sunnyvale, California in Fall 2026. It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 60%, or 24 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 60% requirement for the site. At our Menlo Park campus, Tuesdays and Thursdays are the key days where we encourage on-site presence to engage in events and on-site activities. We may also consider candidates in Durham NC but the bay area is preferred.

Responsibilities

  • Use your experience developing backend applications and distributed systems to build native cloud-based software that is leveraged by GRAIL’s key commercial offerings for the Galleri® Test , my.grail.com and provider.grail.com
  • Develop and lead multiple large cross-functional / cross-organizational programs with high complexity, resource requirements and associated risks.

  • Drive improvements for the software engineering organization based on understanding of business needs and industry trends

  • Provide technical leadership in the form of standards, tools, and knowledge requirements for the software engineering organization

  • Guide and mentors team members to provide an example of innovation and excellence

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Bioinformatics, or similar technical field or equivalent experience.

  • 8-12+ years of meaningful work experience designing, developing, testing, and maintaining full-stack applications and microservice ecosystems.

  • Excellent knowledge of:

Programming Languages: Go (preferred), Java, Python, JavaScript, C++

Frontend: React, Angular

Backend: Spring, Spring Boot, REST APIs, gRPC (preferred)

Cloud & DevOps: AWS (preferred), GCP, Azure, Kubernetes, Docker, Terraform (preferred), Microservices

Data: PostgreSQL, MySQL, Redis

Development Practices: CI/CD, Automated Testing, Agile Development

  • Experience developing distributed systems on one of the cloud platforms like AWS, GCP, or Azure.

  • Experience with writing and executing test protocols

  • Passion for designing and building practical high-quality software solutions.

  • Strong professional written and verbal communication skills.

  • Familiarity with gRPC, terraform, AWS is a plus

  • Willingness to add value to the team!

These job duties summarize the primary responsibilities of the position and are not intended to be a comprehensive listing of all duties. Responsibilities may change based on business needs.

The expected, full-time, annual base pay scale for this position is $169k-224k in the bay area. 
This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate’s qualifications. Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.
 
GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at [email protected] if you require an accommodation to apply for an open position.
 
GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!