2

Remote Bioinformatics Python Jobs in Santa Clara, CA

Computational skills using Python and/or R, including experience with data science and biological ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong Python programming skills; ability to demonstrate mastery through work experience or ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

Remote Bioinformatics Python information

See Santa Clara, CA salary details

$15

$68

$101

How much do remote bioinformatics python jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote bioinformatics python 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 Remote Bioinformatics Python vs Remote Genomic Data Analyst?

AspectRemote Bioinformatics PythonRemote Genomic Data Analyst
Required SkillsPython, bioinformatics tools, data analysisGenomic data interpretation, statistical analysis, Python (optional)
Work EnvironmentResearch labs, biotech companies, academiaHealthcare institutions, research organizations, biotech firms
Common CertificationsBioinformatics certifications, Python programmingBioinformatics or genomics certifications, data analysis skills

Remote Bioinformatics Python roles focus on developing and applying Python-based tools for biological data analysis, often requiring programming expertise. Remote Genomic Data Analysts interpret genomic datasets, utilizing statistical and bioinformatics skills. Both roles are prevalent in biotech and research industries, but Bioinformatics Python positions emphasize coding, while Genomic Data Analysts focus more on data interpretation and reporting.

What is a remote bioinformatics python?

A Remote Bioinformatics Python job involves using the Python programming language to analyze biological data, such as DNA, RNA, or protein sequences, from a remote location. Professionals in this role develop algorithms, scripts, and tools to process and interpret complex datasets, often supporting research in genomics, drug discovery, and healthcare. Working remotely allows bioinformaticians to collaborate with global teams and contribute to scientific projects without needing to relocate. These roles typically require strong programming skills, knowledge of bioinformatics concepts, and experience with biological databases.

What are the key skills and qualifications needed to thrive as a remote bioinformatics python professional?

To thrive as a Remote Bioinformatics Python professional, you need a strong background in biology, statistics, and computational analysis, typically supported by a degree in bioinformatics, computational biology, or a related field. Expertise in Python programming, familiarity with bioinformatics tools (such as Biopython, pandas, and NumPy), and experience using platforms like Git and Linux are essential. Strong problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote environment. These skills ensure that you can analyze complex biological data accurately, share insights with interdisciplinary teams, and contribute effectively to research or clinical projects from a remote setting.

How do remote bioinformatics python professionals typically collaborate with research teams and handle data security?

Remote Bioinformatics Python professionals often work closely with interdisciplinary research teams, including biologists, statisticians, and software engineers. Collaboration is facilitated through regular video meetings, shared code repositories (like GitHub), and project management tools such as Jira or Trello. Data security is paramount in this field, so professionals must follow strict protocols for accessing and transferring sensitive biological data, often using encrypted channels and adhering to institutional or governmental compliance standards.

What job categories do people searching Remote Bioinformatics Python jobs in Santa Clara, CA look for?

The top searched job categories for Remote Bioinformatics Python jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Bioinformatics Python jobs?

Cities near Santa Clara, CA with the most Remote Bioinformatics Python job openings:

Biological Data Curation Scientist (Remote, Half Time, US-based, US employment eligible only)

Phoenix Bioinformatics

Newark, CA • Remote

$35K/yr

Part-time

Medical, Retirement

Posted 3 days ago

New


Job description

Phoenix Bioinformatics is looking for a remote Biological Data Curation Scientist to join our scientific data nonprofit organization. We are a dedicated team motivated by a mission to sustain the data infrastructure that powers global research in plant biology, paleontology, and evolutionary biology.


The Role

As a biocuration scientist, one of your tasks will be to distill knowledge from the primary literature into structured data that powers research worldwide. This is critical scientific work that doesn't require a lab. The role spans data, tools, and the research community. You'll be a plant biologist on a small, distributed team, working closely with the TAIR Director and science team to make TAIR more valuable. If you are obsessed with getting details right and tidy data makes you happy, this is the role for you.


Note on AI Tools

AI tools are part of how we work. We expect you to use AI tools judiciously and to use your scientific expertise to ensure that the output is correct.


Your Work

This is a varied role, and no week includes all of it. A typical mix:

  • Literature curation: Use AI to assist in curating gene function, annotation, and metadata from primary literature into TAIR's data resources, applying controlled vocabularies and ontologies (e.g., GO).

  • Dataset acquisition and integration: Identify, evaluate, and prioritize new datasets that would increase TAIR's value, and partner with our tech team to integrate them.

  • Tool and feature integration: Help decide which new analysis and visualization tools are worth bringing into TAIR and integrate them.

  • Validation and QA: Validate outputs of bioinformatics tools, pipelines, and data loads for biological correctness, including the outputs of AI-assisted workflows.

  • Community engagement: Represent TAIR to the research community by answering user questions, attending conferences, and giving presentations and workshops.

  • Collaborate: Work effectively across time zones in an asynchronous, distributed environment.

What We're Looking For

You don't need to check every box below. If you have a strong plant biology background and are excited by the work, we encourage you to apply.

  • MS or PhD in plant biology, or related field. Early-career candidates (e.g., recent PhDs and postdocs) are strongly encouraged.

  • A solid grounding in Arabidopsis biology and/or plant comparative genomics.

  • Comfort with (or eagerness to learn) bioinformatics data, data analysis pipelines, and data curation.

  • Passionate about high quality data and making data reusable.

  • Familiarity with the FAIR data principles and the importance of data standardization.

  • Some experience using AI tools (e.g., Claude, Gemini) to tackle tasks that would involve coding, and the judgment to check the output.

  • Clear written and oral communication.

  • Comfort working asynchronously and semi-independently.

  • Must be authorized to work in the United States without sponsorship. This position requires working from a US-based location. We are unable to sponsor visas for this role.

Bonus Points

  • Recent experience with experimental plant biology including wet lab/large scale data analysis.

  • Experience with biological data curation of either your own or someone else’s data.

  • Familiarity with TAIR, other plant databases, and other genomic data resources.

  • Basic scripting comfort (Python, command line) as a data consumer.

  • Familiarity with GitHub, JIRA or other software/project management applications.

About Us

Founded in 2013, Phoenix Bioinformatics develops business models to sustain the research infrastructure that academic researchers rely on worldwide. Our flagship plant biology database, TAIR (www.arabidopsis.org), serves thousands of researchers per month. We also maintain MorphoBank (www.morphobank.org), a collaborative web application for evolutionary research using morphological data matrices and images. We combine the experimentation of a startup, the passion of a nonprofit, and the stable benefits of a mature company.


Benefits Compensation

  • Compensation: $35,000/year for this half-time role (equivalent to $70,000/year full time)

  • 0.5 FTE, 20 hours/week, fully remote with flexible hours.

  • Generous time off: 12 holidays, plus pro-rated 72 hrs vacation and 36 hrs sick leave per year. One personal day equivalent per pay period.

  • Excellent health insurance coverage: 99% of employee premiums and 70% of dependent premiums covered for our base plan, with the flexibility to choose other providers.

  • Retirement: 401K with a matching contribution up to 8% of salary.

More Information: www.phoenixbioinformatics.org