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From Home Python Bioinformatics Jobs in Santa Clara, CA

AccuScan Sciences

Clinical Data Manager

Milpitas, CA · On-site

... bioinformatics engineering to enable high-quality and timely data delivery. The CDM will play a ... to-end from raw data through final outputs Cross-Functional Collaboration • Act as liaison ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

Strong Python programming skills; ability to demonstrate mastery through work experience or ... Flexible/hybrid work schedule (built-in work from home days) * Equity * Retirement savings (no ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site

$116K - $148K/yr

Strong Python programming skills; ability to demonstrate mastery through work experience or ... Flexible/hybrid work schedule (built-in work from home days) * Equity * Retirement savings (no ...

GRAIL

Senior Data Scientist #4887

Menlo Park, CA · On-site

$187K/yr

It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home ... Ph.D. in Bioinformatics, Data Science, Computational Biology, Physics, Bioengineering, Cancer ...

GRAIL

Senior Data Scientist #4887

Menlo Park, CA · On-site

$187K/yr

It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home ... Ph.D. in Bioinformatics, Data Science, Computational Biology, Physics, Bioengineering, Cancer ...

GRAIL

Senior Data Scientist #4887

Menlo Park, CA

$187K/yr

It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home ... Ph.D. in Bioinformatics, Data Science, Computational Biology, Physics, Bioengineering, Cancer ...

itechstack

Field Design Engineer

Cupertino, CA

Cupertino CA 5 days a week onsite(No remote/No WFH) We need candidate aware of following: Must: Expertise in Core Python(Data Structures, OOPs, Data types, File Handling, Exception Handling ...

itechstack

Field Design Engineer

Cupertino, CA · On-site

Cupertino CA 5 days a week onsite(No remote/No WFH) We need candidate aware of following: Must: Expertise in Core Python(Data Structures, OOPs, Data types, File Handling, Exception Handling ...

Transcripta Bio

Computational Biologist

Palo Alto, CA · On-site

Analyze data from drug perturbation screens to identify transcriptomic signatures, compound-gene ... PhD in Bioinformatics, Computational Biology, Genomics, or a related field with 3+ years of ...

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All JobsPython Bioinformatics JobsFrom Home Python Bioinformatics JobsFrom Home Python Bioinformatics Jobs in Santa Clara, CA

From Home Python Bioinformatics information

See Santa Clara, CA salary details

$15

$68

$101

How much do from home python bioinformatics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for from home python bioinformatics in Santa Clara, CA is $68.85, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.22 per hour, depending on experience, location, and employer.

What is the difference between From Home Python Bioinformatics vs From Home Data Scientist?

AspectFrom Home Python BioinformaticsFrom Home Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fields; Python programming skillsBachelor's or Master's in Data Science, Computer Science, or related fields; Python and statistical skills
Work EnvironmentRemote, often in research labs, biotech companies, or academic settingsRemote, in tech companies, finance, healthcare, or consulting firms
Industry UsageBiotech, healthcare, academic researchTechnology, finance, marketing, healthcare

From Home Python Bioinformatics and From Home Data Scientist roles share common skills like Python programming and remote work settings. However, bioinformatics focuses on biological data analysis, while data science covers a broader range of industries and data types. Your choice depends on your industry interest and specific skill set.

How do remote Python bioinformaticians typically collaborate with research teams and manage project communication?

Remote Python bioinformaticians often work closely with cross-functional teams, including biologists, data scientists, and clinicians, using digital collaboration tools like Slack, Zoom, and project management platforms to maintain clear communication. Regular virtual meetings and code-sharing via platforms like GitHub help ensure alignment on project goals and data analysis methods. Effective documentation and timely updates are essential for overcoming the challenges of remote teamwork, especially when projects involve large datasets or complex pipelines. Building strong communication habits and proactively seeking feedback are key to succeeding in this remote, collaborative environment.

What are the key skills and qualifications needed to thrive as a from home Python bioinformatics professional?

To thrive as a From Home Python Bioinformatics professional, you need strong programming skills in Python, a solid background in biology or bioinformatics, and at least a bachelor's degree in a related field. Familiarity with bioinformatics tools (such as Biopython, BLAST, and genome analysis platforms), version control systems like Git, and relevant data analysis libraries is crucial. Excellent problem-solving abilities, attention to detail, and self-motivation are essential soft skills for managing complex projects independently. These competencies enable effective analysis of biological data, accurate interpretation of results, and efficient collaboration in remote or distributed research environments.

What is a from home Python bioinformatics job?

A From Home Python Bioinformatics job involves working remotely to analyze and interpret biological data using Python programming. Professionals in this role apply computational techniques to solve problems in genomics, proteomics, and other areas of biology. They often write scripts or develop software to process large datasets, automate workflows, and visualize results for scientific research. These jobs typically require knowledge of both biology and computer science, as well as experience with relevant bioinformatics tools and libraries. Remote positions allow for flexible work arrangements, making it possible to collaborate with research teams from anywhere.
What cities near Santa Clara, CA are hiring for From Home Python Bioinformatics jobs? Cities near Santa Clara, CA with the most From Home Python Bioinformatics job openings:
From Home Python Bioinformatics jobs near you

Scientist II- Assay Development

Guardant Health

Palo Alto, CA • On-site

$122K - $168K/yr

Full-time

Posted 19 days ago

Guardant Health rating

9.4

Company rating: 9.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

3rd of 120 rated laboratories

Job description

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. For more information, visit guardanthealth.com and follow the company on LinkedIn, X (Twitter) and Facebook.
Profile Summary:
As a Scientist II in the Technology Development Team, you will work collaboratively with team members and interface cross-functionally with bioinformatics, process engineering, system engineering, and other assay development teams. You will be hands-on in the lab to evaluate and optimize new assays related to liquid biopsy sequencing technologies for detecting, treating, and monitoring all cancer types. You will play a critical role in the design and implementation of our advanced cancer diagnostics product as well as future product offerings.
In the Assay Development team, you will collaborate cross-functionally with members from research, bioinformatics, process engineering, operations, and software. You will lead and analyze studies to further the development of automated molecular assays for the early detection, treatment and monitoring of all cancer types.
Essential Duties and Responsibilities:
  • Assess, optimize, and implement cutting-edge research and technologies in molecular oncology and diagnostics to improve assay performance
  • Identify areas for improvement in current assays and propose and implement solutions
  • Collaborate within Technology Development and cross-functionally with bioinformatics as well as other cross-functional teams to facilitate effective execution of product goals
  • Be highly committed to deliver results in a fast-paced and rapidly growing organization Document technical evaluations and provide SOPs as needed
  • Present data, proposals, and progress in various forums

Qualifications:
  • PhD degree in molecular biology, biomedical sciences, or related field with 2+ years of industry work
  • Experience in research, development and/or optimization of NGS technologies with strong preference for experience with cell-free nucleic acids
  • Strong data analysis skills with experience with Python, R, or JMP and the experience in handling large datasets
  • Detail orientated with demonstrated ability to organize, document and communicate scientific data
  • Committed team player; enjoys working both independently and collaboratively in a fast-paced environment and able to adapt to change, demonstrating flexibility and the ability to learn and apply new technologies
  • Strong underlying curiosity and drive

AI & Digital Fluency
  • Demonstrate curiosity, sound judgment, and the ability to critically evaluate and responsibly leverage AI-enabled tools in accordance with company policies, ethical standards, and regulatory requirements to improve the efficiency, effectiveness, and quality of work.

Hybrid Work Model:This section is applicable to onsite employees who are eligible for hybrid work location as specified by management and related policies. Guardant has 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. At Guardant, our work model has created flexibility for better work-life balance while keeping teams connected to advance our science for our patients.
The annualized base salary ranges for the primary location and any additional locations are listed below. This range does not include benefits or, if applicable, bonus, commission, or equity. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, education, job-related skills, job duties, and business need.Primary Location: Palo Alto, CAPrimary Location Base Pay Range: $122,600 - $168,600Other US Location(s) Base Pay Range: $104,210 - $143,310If the role is performed in Colorado, the pay range for this job is: $110,340 - $151,740
Employee may be required to lift routine office supplies and use office equipment. Majority of the work is performed in a desk/office environment; however, there may be exposure to high noise levels, fumes, and biohazard material in the laboratory environment. Ability to sit for extended periods of time.
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
A background screening including criminal history is required for this role. GH will consider qualified applicants with criminal arrest or conviction histories in a manner consistent with applicable law including but not limited to the LA County Fair Chance Policies and the Fair Chance Act (Gov. Code Section 12952).
Guardant Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
All your information will be kept confidential according to EEO guidelines.
To learn more about the information collected when you apply for a position at Guardant Health, Inc. and how it is used, please review our Privacy Notice for Job Applicants.
Please visit our career page at: http://www.guardanthealth.com/jobs/

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