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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 20, 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.
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What cities are hiring for Senior Bioinformatics Machine Learning jobs? Cities with the most Senior Bioinformatics Machine Learning job openings:
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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 1% Locum Tenens, 65% As Needed, 17% Full Time, 2% Part Time, 12% Nights, and 3% Summer. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $102,271 per year, or $49.2 per hour.
Senior Bioinformatics Scientist (South San Francisco, CA)

Senior Bioinformatics Scientist (South San Francisco, CA)

CEDENT

South San Francisco, CA

Other

Re-posted 25 days ago

Job description

We are seeking a highly motivated and innovative Senior/Staff Bioinformatics Scientist to join our R&D team focused on synthetic biology product development. In this role, you will work at the intersection of computational and molecular biology, developing advanced DNA sequence analysis pipelines, gene design algorithms, and predictive models to optimize DNA synthesis and assembly. You will collaborate with molecular biologists, product teams, and manufacturing engineers to refine client's core synthetic biology platform, troubleshoot assembly challenges, and improve DNA synthesis efficiency.

This position emphasizes predictive modeling, algorithm development, and data-driven approaches to enhance synthetic biology workflows. Key Responsibilities Synthetic Biology & DNA Assembly Develop bioinformatics methods supporting DNA assembly strategies and synthetic biology workflows. Apply machine learning and predictive modeling to improve DNA assembly success rates and optimize synthesis parameters.

Collaborate with wet-lab scientists to analyze and troubleshoot molecular biology processes. Develop bioinformatics approaches for diagnosing and resolving complex DNA synthesis and assembly issues. NGS Pipeline Development & Data Science Build and maintain NGS analysis pipelines (e.g., Nextflow) to support quality control and performance tracking of synthetic biology products

Leverage Oxford Nanopore Technologies (ONT), Illumina, or PacBio sequencing to analyze and optimize synthesis workflows. Develop predictive models to identify challenging sequences and recommend optimizations to improve synthesis efficiency. Ensure pipeline accuracy, reproducibility, and scalability in research environments.

Data Analysis & Insights Apply advanced statistical and machine learning methods to evaluate improvements in synthetic biology product iterations. Use Python, R, and visualization tools to generate actionable insights and present findings to stakeholders. Design and implement novel bioinformatics algorithms for sequence analysis and synthetic biology applications.

Cross-Functional Collaboration Partner with R&D, manufacturing, and product development teams to troubleshoot assay issues and implement data-driven solutions. Support the broader Bioinformatics team by integrating synthetic biology workflows with existing genomic data processing pipelines. Assist with customer-facing analyses related to synthetic biology assay performance.

Required Qualifications Educational Background & Experience: Bachelor's/Master's degree with 6-8 years of industry experience, or a Ph.D. with 3+ years of industry experience in Bioinformatics, Molecular Biology, Biochemistry, Genetics, Genomics, Computational Biology, or a related field. Bioinformatics & NGS Expertise: Experience with ONT, Illumina, or PacBio sequencing technologies

Proficiency in workflow management tools (Nextflow, Snakemake). Hands-on experience designing predictive models for sequence design & synthetic biology applications. Technical Skills: Expertise in Python (Pandas, NumPy, SciPy) and visualization libraries (Matplotlib, Seaborn, Plotly).

Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch) applied to biological sequence data. Familiarity with R, SQL, or other statistical tools. Molecular Biology & Synthetic Biology Knowledge: Understanding of DNA assembly, cloning techniques, and molecular biology workflows.

Ability to interpret experimental data and provide feedback on laboratory procedures. Preferred Qualifications Experience developing design algorithms for synthetic biology applications. Familiarity with deep learning approaches for biological sequence analysis.

Exposure to high-throughput experimental design and laboratory automation. Hands-on experience with gene synthesis and synthetic biology assay development.

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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008

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