2

Remote Clinical Bioinformatics Jobs (NOW HIRING)

... or bioinformatics with 3+ years of relevant experience supporting clinical systems within the ... Good organization skills, ability to manage multiple tasks #LI-REMOTE Pay Range: In the U.S., the ...

... characteristics, clinical and disease data, as well as public datasets of drug response. The ... As an integral member of the Data Science & Bioinformatics Team, you will tackle some of the most ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... genomics, bioinformatics, drug discovery, infectious disease modeling, materials, and ...

This position will give exposure to how healthcare data is used to support clinical research across ... in a collaborative remote/hybrid environment based in Dallas. Provides strong mentorship ...

Support includes specialized scientific support related to basic, translational, and clinical ... This position will be contingent upon award and is expected to be a hybrid remote role with on-site ...

You are passionate about building seamless, high-throughput clinical workflows that ensure data ... This role will be a Hybrid (based in our Brisbane, California headquarters) or Remote role. What ...

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116.10K - $148K/yr

You will work with industry partners and academic leaders on clinical trials and collaborative ... Masters in computational neuroscience, systems neuroscience, bioengineering, bioinformatics ...

U.S. Northeast preferred, remote Support Pillar's growing commercial effort by providing ... Mol Diagnostic experience in clinical setting a huge plus. * Solid Understanding of principles of ...

... clinicians solve the worlds greatest health challenges. We pair the enthusiasm of an industry ... Roles can be in one of our many locations globally, and we offer In-Office, Hybrid, and Remote work.

... clinicians solve the worlds greatest health challenges. We pair the enthusiasm of an industry ... Roles can be in one of our many locations globally, and we offer In-Office, Hybrid, and Remote work.

next page

Showing results 1-20

Remote Clinical Bioinformatics information

See salary details

$14

$34

$90

How much do remote clinical bioinformatics jobs pay per hour?

As of May 31, 2026, the average hourly pay for remote clinical bioinformatics in the United States is $34.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $32.93 per hour, depending on experience, location, and employer.
More about Remote Clinical Bioinformatics jobs
What cities are hiring for Remote Clinical Bioinformatics jobs? Cities with the most Remote Clinical Bioinformatics job openings:
What are the most commonly searched types of Clinical Bioinformatics jobs? The most popular types of Clinical Bioinformatics jobs are:
What states have the most Remote Clinical Bioinformatics jobs? States with the most job openings for Remote Clinical Bioinformatics jobs include:
Infographic showing various Remote Clinical Bioinformatics job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $72,002 per year, or $34.6 per hour.
Machine Learning Engineer (Remote)

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$55 - $73/hr

Full-time

Posted 2 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

INDBH
#LI-MG1