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Senior Bioinformatics Machine Learning Jobs (NOW HIRING)

We are seeking a passionate Computational Research Intern to join moonshot projects at the intersection of bioinformatics and machine learning. This is a rare opportunity to tackle open-ended ...

This role reports to our Senior Bioinformatician and does not include management of direct reports ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...

This role reports to our Senior Bioinformatician and does not include management of direct reports ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...

This role reports to our Senior Bioinformatician and does not include management of direct reports ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...

This role reports to our Senior Bioinformatician and does not include management of direct reports ... developing machine-learning or deep-learning models (training, evaluation, and deployment ...

This role reports to our Senior Bioinformatician and does not include management of direct reports ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...

Senior Machine Learning Scientist

Brisbane, CA · On-site +1

$110K - $150K/yr

At Freenome, we are seeking a Senior Machine Learning Scientist to help grow the Machine Learning ... Experience in NGS data analysis and bioinformatic pipelines. * Experience with containerized cloud ...

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Senior Bioinformatics Machine Learning information

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$84.5K

$102.3K

$119.5K

How much do senior bioinformatics machine learning jobs pay per year?

As of Jun 27, 2026, the average yearly pay for senior bioinformatics machine learning in the United States is $102,271.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $110,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Bioinformatics Machine Learning vs Bioinformatics Data Analyst?

AspectSenior Bioinformatics Machine LearningBioinformatics Data Analyst
Required CredentialsAdvanced degrees in bioinformatics, computer science, or related fields; experience with machine learningBachelor's or master's in bioinformatics, biology, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, biotech companies, or pharma; focus on developing ML modelsData interpretation, reporting, and visualization in research or clinical settings
Employer & Industry UsageUsed in biotech, pharma, research institutions for complex data modelingCommon in healthcare, research, and biotech for data management and reporting

The main difference is that Senior Bioinformatics Machine Learning specialists focus on developing and applying machine learning models to biological data, requiring advanced technical skills. Bioinformatics Data Analysts primarily interpret and visualize data, with less emphasis on machine learning techniques.

More about Senior Bioinformatics Machine Learning jobs
What cities are hiring for Senior Bioinformatics Machine Learning jobs? Cities with the most Senior Bioinformatics Machine Learning job openings:
What are the most commonly searched types of Bioinformatics Machine Learning jobs? The most popular types of Bioinformatics Machine Learning jobs are:
What states have the most Senior Bioinformatics Machine Learning jobs? States with the most job openings for Senior Bioinformatics Machine Learning jobs include:
Senior Bioinformaticist - Information Services - Genomics

Senior Bioinformaticist - Information Services - Genomics

Rady Children's Hospital-San Diego

San Diego, CA • On-site

$52.95 - $72.81/hr

Full-time

Posted 15 days ago


Rady Children's Hospital rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

90th of 1,003 rated hospitals


Job description

Hybrid role.
JOB SUMMARY:
The Senior Bioinformaticist is a senior-level individual contributor responsible for helping deploy, maintain, and evolve the bioinformatics framework supporting a high-throughput, ultra-rapid turnaround whole genome sequencing clinical environment. This role focuses primarily on germline genomics pipelines, population genomics analysis, and the continuous improvement of productiongrade bioinformatics workflows.
This position will work as part of a team to build and maintain scalable bioinformatics infrastructure using modern technologies in compute infrastructure, data storage, and genomic analytics, with a strong emphasis on automation, reproducibility, and integration across systems.
In addition to maintaining clinical pipelines, this role will contribute to research and innovation initiatives, exploring new computational approaches, emerging genomic technologies, and AI/ML methods applied to genomic data.
The environment is highly cross-functional, with strong collaboration across clinicians, bioinformaticians, software engineers, and researchers, as well as partnerships with biotechnology companies, academic institutions, and national or international research programs.
MINMUM QUALIFICATIONS:
Master's Degree
Area of study in a field related to the position.
Experience analyzing next-gen sequencing data from raw sequencing output (BCL/FASTQ) through alignment, variant calling, annotation, and prioritization for whole genome or exome sequencing data.
Experience developing, maintaining, and troubleshooting automated bioinformatics pipelines supporting high-throughput genomic analysis in production or research environments.
Experience working with and understanding of NGS analysis tools like Dragen, BWA,, GATK, DeepVariant, Samtools, bcftools, Picard, Annovar, VEP, or similar tools.
Experience with Unix/Linux operating system and software development using any of Ruby, Python, Perl, Bash.
Experience working with large-scale computational environments, including HPC or distributed compute systems, and workflow orchestration tools (e.g., Nextflow, Snakemake, WDL, Cromwell, or similar frameworks).
PREFERRED QUALIFICATIONS:
Ph.D.
Experience in CNV and SV detection tools and interpretation of complex genomic variation.
Previous experience working in a CAP/CLIA environment.
Previous experience with cloud-based development or analysis and performing benchmarking of bioinformatics tools.
Experience applying machine learning or AI approaches to genomics, phenomics, or biomedical datasets.
Experience analyzing multi-omics datasets, including RNA-seq, long-read sequencing, transcriptomics, proteomics, or related genomic technologies.
The current salary range for this position is $52.95 to $72.81
Rady Children's Hospital is committed to compensation that is externally competitive and internally equitable. We demonstrate this commitment by conducting regular market reviews to remain competitive with organizations of similar size in the nonprofit, healthcare sector. The range listed above does not represent the full salary range for the position but is the expected hiring range for qualified candidates. Compensation decisions consider a variety of factors including experience, education, licensure, unique skillsets, organizational need, and internal equity. This posting will remain open from the "date posted" until the hiring manager has determined there is a sufficient applicant pool or until the position is filled.

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