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Senior Bioinformatics Machine Learning Jobs (NOW HIRING)

Bruker

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 ...

UNAVAILABLE

Scientist, Bioinformatics

Saint Louis, MO · On-site

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 ...

Bruker

Scientist, Bioinformatics

Saint Louis, MO

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 ...

UNAVAILABLE

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 ...

Bruker Corporation

Scientist, Bioinformatics

$96K - $153K/yr

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 ...

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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 Jul 21, 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 highest paying job in bioinformatics?

Senior bioinformatics roles that combine advanced machine learning expertise, such as Senior Bioinformatics Machine Learning Scientist or Director of Bioinformatics, tend to be among the highest paying in the field. These positions often require extensive experience, strong programming skills, and knowledge of algorithms, with salaries reaching six figures or higher depending on the organization and location.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is not expected to fully replace the field. Senior Bioinformatics Machine Learning roles involve developing and applying AI models to biological data, requiring expertise in both biology and machine learning techniques. Human oversight remains essential for interpreting results and guiding research directions.

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.

How much does a senior bioinformatics scientist make at Illumina?

A senior bioinformatics scientist at Illumina typically earns between $100,000 and $130,000 annually, depending on experience and location. Compensation may include bonuses and stock options, and the role often requires expertise in genomics, programming, and data analysis tools like Python or R.

What is the salary of AI ML bioinformatics?

Senior Bioinformatics Machine Learning roles typically offer salaries ranging from $90,000 to $150,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, programming, and bioinformatics tools can influence compensation levels.
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:
What job categories do people searching Senior Bioinformatics Machine Learning jobs look for? The top searched job categories for Senior Bioinformatics Machine Learning jobs are:
Senior Bioinformatics Machine Learning jobs near you
Infographic showing various Senior Bioinformatics Machine Learning job openings in the United States as of July 2026, with employment types broken down into 13% Internship, 54% As Needed, 17% Full Time, 3% Part Time, 12% Nights, and 1% Summer. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $102,271 per year, or $49.2 per hour.
Machine Learning Engineer (Remote)

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA • 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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