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Remote Bioinformatics Python Jobs (NOW HIRING)

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Expertise in Python and/or R is expected. Experience with biological data processing pipelines ...

As an integral member of the Data Science & Bioinformatics Team, you will tackle some of the most ... Expertise in scripting languages - Python, R, and linux shell environment * Bonus: experience ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Develop bioinformatic workflows and contribute to data interpretation and biological discovery.

You will work hand in hand with bioinformatics and computational biology teams running cutting-edge ... Proficiency in Python (and familiarity with Bash) for automation, tooling, and pipeline development.

$48K - $65K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Familiarity with Python, R, Excel, or other organizational and computational tools * Strong ...

Post Doctoral Fellow - Dr. Yan Sun

Atlanta, GA ยท On-site +1

$47K - $64K/yr

... and bioinformatic analyses using the R/Python programming languages. * Experience with high ... Emory reserves the right to change remote work status with notice to employee. Additional Details ...

Engineering Team Leader

Bethesda, MD ยท On-site +1

$109K - $144K/yr

There is the possibility of 1 day/week as remote work. This position functions as a Technical ... Demonstrated expertise in C++ and Python, with the ability to engage directly in technical design ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... package and/or python-based package that streamlines and automates use of the database for ...

Post Doctoral Fellow - Dr. Yan Sun

Atlanta, GA ยท On-site +1

$47K - $64K/yr

... and bioinformatic analyses using the R/Python programming languages. * Experience with high ... Emory reserves the right to change remote work status with notice to employee. Emory is an equal ...

Staff Machine Learning Scientist

Brisbane, CA ยท On-site +1

$199K - $283K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... Python, R, Java, C, C++, etc. * Proficiency in one or more ML frameworks such as; Pytorch ...

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Remote Bioinformatics Python information

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How much do remote bioinformatics python jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for remote bioinformatics python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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 job?

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, and why are they important?

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.
More about Remote Bioinformatics Python jobs
What cities are hiring for Remote Bioinformatics Python jobs? Cities with the most Remote Bioinformatics Python job openings:
What states have the most Remote Bioinformatics Python jobs? States with the most job openings for Remote Bioinformatics Python jobs include:
Infographic showing various Remote Bioinformatics Python job openings in the United States as of July 2026, with employment types broken down into 10% Locum Tenens, 74% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Machine Learning Engineer (Remote)

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA โ€ข On-site, Remote

$55 - $73/hr

Full-time

Re-posted 23 days ago


Job description

Our client is a leader in healthcare innovation, seamlessly integrating pharmaceutical development, diagnostic solutions, and advanced technology and data capabilities.
Title: Machine Learning Engineer (Contract)
Pay rate: $55-73/hr+ (Depends on experience)
Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours.
Duration: Through Dec. 2026 (Likely to get extended)
Overview:
Seeking a Machine Learning Bioinformatics Engineer to develop and deploy advanced ML solutions supporting pharmaceutical R&D. This role focuses on analyzing large-scale, multimodal clinicogenomic datasets (genomic, transcriptomic, clinical, and real-world data) to drive insights into disease biology, patient stratification, and treatment response. Ideal candidates are strong in both machine learning and bioinformatics, with a passion for translating complex data into impactful discoveries.
Key Responsibilities:
  • Build and deploy scalable, production-ready machine learning models
  • Process and analyze genomic and transcriptomic data using bioinformatics pipelines
  • Prepare high-quality, normalized biological datasets for downstream analysis
  • Train large-scale models using frameworks like PyTorch Lightning and Hugging Face
  • Develop cloud-based ML solutions (AWS/GCP) with a focus on scalability and reproducibility
  • Collaborate with cross-functional teams to uncover biomarkers and therapeutic targets
  • Provide technical input and guidance on ML system design and implementation

Qualifications:
  • PhD with 0-2 years of relevant work experience, or MS with 3-5 years of relevant work experience, or BS with 4-7 years of relevant work experience.
  • Proficient programming skills: Strong Python programming skills with extensive experience in ML and data libraries (e.g., NumPy, pandas, PyTorch).
  • Deep ML expertise: Excellent knowledge of modern machine learning methods and development best practices, including training strategies, model validation, performance visualization, and experimental design.
  • Deep bioinformatic expertise: Proficient knowledge of bioinformatic processing pipelines for genomic and transcriptomic variables.
  • Strong knowledge of computational oncology, cancer genomics and analysis of clinicogenomics datasets.
  • Must be authorized to work in the United States

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