D. in Computer Science, Computer Engineering, Machine Learning, Bioinformatics, or related fields (or equivalent qualification). Preferred Qualifications Ph.D. in Computer Science, Machine Learning ...
D. in Computer Science, Computer Engineering, Machine Learning, Bioinformatics, or related fields (or equivalent qualification). Preferred Qualifications Ph.D. in Computer Science, Machine Learning ...
Apply machine learning approaches to analyze and integrate large-scale multi-omic datasets to ... Develop and maintain bioinformatics infrastructure, workflows, and reproducible analytical ...
Apply machine learning approaches to analyze and integrate large-scale multi-omic datasets to ... Develop and maintain bioinformatics infrastructure, workflows, and reproducible analytical ...
Bioinformatics Scientist
Durham, NC · On-site
Apply machine learning approaches to analyze and integrate large-scale multi-omic datasets to ... Develop and maintain bioinformatics infrastructure, workflows, and reproducible analytical ...
Bioinformatics Scientist
Durham, NC · On-site
Apply machine learning approaches to analyze and integrate large-scale multi-omic datasets to ... Develop and maintain bioinformatics infrastructure, workflows, and reproducible analytical ...
Apply machine learning and predictive modeling to improve DNA assembly success rates and optimize ... Develop bioinformatics approaches for diagnosing and resolving complex DNA synthesis and assembly ...
Apply machine learning and predictive modeling to improve DNA assembly success rates and optimize ... Develop bioinformatics approaches for diagnosing and resolving complex DNA synthesis and assembly ...
Analyze large-scale neural and behavioral datasets using machine learning and statistical ... Serve as a bioinformatics expert and coordinate with multidisciplinary teams including biologists ...
Analyze large-scale neural and behavioral datasets using machine learning and statistical ... Serve as a bioinformatics expert and coordinate with multidisciplinary teams including biologists ...
Bioinformatics Scientist
Durham, NC · On-site
Analyze large-scale neural and behavioral datasets using machine learning and statistical ... Serve as a bioinformatics expert and coordinate with multidisciplinary teams including biologists ...
Bioinformatics Scientist
Durham, NC · On-site
Analyze large-scale neural and behavioral datasets using machine learning and statistical ... Serve as a bioinformatics expert and coordinate with multidisciplinary teams including biologists ...
Senior Bioinformatics Analyst (AI/ML for Genomics) | Bioinformatics Resource Center
Manhattan, NY · On-site
... a Senior Bioinformatics Analyst to design, implement, and deploy AI/ML methods for genomics and ... adapt machine learning and deep learning models (e.g., convolutional and transformer-based ...
Senior Bioinformatics Analyst (AI/ML for Genomics) | Bioinformatics Resource Center
Manhattan, NY · On-site
... a Senior Bioinformatics Analyst to design, implement, and deploy AI/ML methods for genomics and ... adapt machine learning and deep learning models (e.g., convolutional and transformer-based ...
Machine Learning Engineer - Health AIML
$212K - $318K/yr
D. in Computer Science, Machine Learning, Bioinformatics, or a related field. Strong background in generative models, natural language processing (NLP), and large language models (LLMs). 5+ years of ...
Machine Learning Engineer - Health AIML
$212K - $318K/yr
D. in Computer Science, Machine Learning, Bioinformatics, or a related field. Strong background in generative models, natural language processing (NLP), and large language models (LLMs). 5+ years of ...
Research Assistant Professor of Computer Science - Omics Data Science for Immuno-Engineering
Norman, OK · On-site
... bioinformatics, machine learning, and data science methods for immuno-engineering; • Develop grant applications and contribute to proposals in immuno-engineering; • Participate in workshops ...
Research Assistant Professor of Computer Science - Omics Data Science for Immuno-Engineering
Norman, OK · On-site
... bioinformatics, machine learning, and data science methods for immuno-engineering; • Develop grant applications and contribute to proposals in immuno-engineering; • Participate in workshops ...
Senior Bioinformatics Analyst/ Computational Biologist
Cambridge, MA · On-site
$50 - $55/hr
... machine learning methods to identify cell states, regulatory networks, and disease-associated ... bioinformatics workflows for large-scale omics data analysis. • Document data processing ...
New
Senior Bioinformatics Analyst/ Computational Biologist
Cambridge, MA · On-site
$50 - $55/hr
... machine learning methods to identify cell states, regulatory networks, and disease-associated ... bioinformatics workflows for large-scale omics data analysis. • Document data processing ...
New
They are seeking a Machine Learning Engineer or Scientist to support chemical and biological ... Bioinformatics OR Bachelor's degree in a relevant field with 5 years of experience in a laboratory ...
They are seeking a Machine Learning Engineer or Scientist to support chemical and biological ... Bioinformatics OR Bachelor's degree in a relevant field with 5 years of experience in a laboratory ...
Apply machine learning and predictive modeling to improve DNA assembly success rates and optimize ... Develop bioinformatics approaches for diagnosing and resolving complex DNA synthesis and assembly ...
Apply machine learning and predictive modeling to improve DNA assembly success rates and optimize ... Develop bioinformatics approaches for diagnosing and resolving complex DNA synthesis and assembly ...
The Bioinformatics Scientist will provide support to the National Institute of Environmental Health ... The role requires expertise in statistical genomics, machine learning, and scalable analysis and ...
The Bioinformatics Scientist will provide support to the National Institute of Environmental Health ... The role requires expertise in statistical genomics, machine learning, and scalable analysis and ...
Bioinformatics Scientist
Livermore, CA · On-site
$9.8K/wk
We have an opening for a Bioinformatics Scientist to conduct research, training, and evaluating ... PhD in Computational Biology, Biophysics, Computational Bioengineering, Machine Learning ...
Bioinformatics Scientist
Livermore, CA · On-site
$9.8K/wk
We have an opening for a Bioinformatics Scientist to conduct research, training, and evaluating ... PhD in Computational Biology, Biophysics, Computational Bioengineering, Machine Learning ...
We have an opening for a Bioinformatics Scientist to conduct research, training, and evaluating ... PhD in Computational Biology, Biophysics, Computational Bioengineering, Machine Learning ...
We have an opening for a Bioinformatics Scientist to conduct research, training, and evaluating ... PhD in Computational Biology, Biophysics, Computational Bioengineering, Machine Learning ...
Bioinformatics Scientist
Livermore, CA · On-site
We have an opening for a Bioinformatics Scientist to conduct research, training, and evaluating ... PhD in Computational Biology, Biophysics, Computational Bioengineering, Machine Learning ...
Bioinformatics Scientist
Livermore, CA · On-site
We have an opening for a Bioinformatics Scientist to conduct research, training, and evaluating ... PhD in Computational Biology, Biophysics, Computational Bioengineering, Machine Learning ...
Machine Learning Certification * Ph.D. preferred (or Master's) in Neuroscience, Computational ... Serve as bioinformatics expert and coordinate with teams of biologists to conduct experimental ...
Quick apply
Apply machine learning and predictive modeling to improve DNA assembly success rates and optimize ... Develop bioinformatics approaches for diagnosing and resolving complex DNA synthesis and assembly ...
Apply machine learning and predictive modeling to improve DNA assembly success rates and optimize ... Develop bioinformatics approaches for diagnosing and resolving complex DNA synthesis and assembly ...
As a member of our multidisciplinary team, you will collaborate with experts in machine learning, molecular simulation, optimization, and bioinformatics, and interface with experimentalists ...
As a member of our multidisciplinary team, you will collaborate with experts in machine learning, molecular simulation, optimization, and bioinformatics, and interface with experimentalists ...
Machine Learning (ML) Bioengineer
Livermore, CA · On-site
$9.7K/wk
As a member of our multidisciplinary team, you will collaborate with experts in machine learning, molecular simulation, optimization, and bioinformatics, and interface with experimentalists ...
Machine Learning (ML) Bioengineer
Livermore, CA · On-site
$9.7K/wk
As a member of our multidisciplinary team, you will collaborate with experts in machine learning, molecular simulation, optimization, and bioinformatics, and interface with experimentalists ...
Bioinformatics Machine Learning information
See salary details
$67.2K is the 25th percentile. Wages below this are outliers.
$59.5K - $67.7K
27% of jobs
$67.7K - $75.9K
15% of jobs
$75.9K - $84K
6% of jobs
The median wage is $85.2K / yr.
$84K - $92.2K
15% of jobs
$92.2K - $100.4K
9% of jobs
$100.4K - $108.6K
2% of jobs
$114.7K is the 75th percentile. Wages above this are outliers.
$108.6K - $116.8K
2% of jobs
$116.8K - $125K
2% of jobs
$125K - $133.1K
10% of jobs
$133.1K - $141.3K
11% of jobs
$141.3K - $149.5K
2% of jobs
$59.5K
$94.5K
$149.5K
How much do bioinformatics machine learning jobs pay per year?
As of Jun 28, 2026, the average yearly pay for bioinformatics machine learning in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.
What is a Bioinformatics Machine Learning job?
A Bioinformatics Machine Learning job involves applying machine learning techniques to analyze and interpret biological data, such as genomics, proteomics, and medical records. Professionals in this field develop algorithms, build predictive models, and enhance data-driven research in areas like personalized medicine and drug discovery. They work with large datasets, applying deep learning, neural networks, and other AI methods to extract meaningful insights. The role requires expertise in biology, statistics, and programming languages like Python or R.
What are the typical daily responsibilities for someone in a Bioinformatics Machine Learning position?
In a Bioinformatics Machine Learning role, your daily tasks usually involve developing and tuning machine learning models to analyze large biological datasets, such as genomics or proteomics data. You'll collaborate closely with researchers, biologists, and data scientists to understand project goals, interpret results, and refine analytical approaches. Routine work includes coding, troubleshooting algorithms, visualizing data outputs, and documenting findings for internal teams or publication. The role often requires balancing independent analysis with teamwork and regular communication across disciplines, making it both technically challenging and highly collaborative.
What are the key skills and qualifications needed to thrive in the Bioinformatics Machine Learning position, and why are they important?
A successful Bioinformatics Machine Learning professional needs a solid background in biology, statistics, and computer science, often backed by an advanced degree such as a Master's or PhD in bioinformatics, data science, or a related field. Proficiency with programming languages like Python or R, experience with machine learning libraries (e.g., TensorFlow, scikit-learn), and knowledge of version control systems are typical requirements, and relevant certifications can be beneficial. Strong problem-solving abilities, effective communication skills, and the capacity to work collaboratively in interdisciplinary teams set candidates apart. These skills are crucial for designing robust computational models, interpreting complex biological data, and translating findings into actionable insights in research or clinical settings.
More about Bioinformatics Machine Learning jobs
What cities are hiring for Bioinformatics Machine Learning jobs? Cities with the most 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 Bioinformatics Machine Learning jobs? States with the most job openings for Bioinformatics Machine Learning jobs include:
What job categories do people searching Bioinformatics Machine Learning jobs look for? The top searched job categories for Bioinformatics Machine Learning jobs are:
Apple rating
8.1
Based on 666 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.
Description
In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products.
Minimum Qualifications
7+ years of professional experience, either in industry or academia.
Experience leading a team and/or a proven track record of cross-functional collaboration to deliver systems with machine learning capabilities.
BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, Bioinformatics, or related fields (or equivalent qualification).
Preferred Qualifications
Ph.D. in Computer Science, Machine Learning, Bioinformatics, or a related field.
Strong background in generative models, natural language processing (NLP), and large language models (LLMs).
5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications.
Description
In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products.
Minimum Qualifications
7+ years of professional experience, either in industry or academia.
Experience leading a team and/or a proven track record of cross-functional collaboration to deliver systems with machine learning capabilities.
BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, Bioinformatics, or related fields (or equivalent qualification).
Preferred Qualifications
Ph.D. in Computer Science, Machine Learning, Bioinformatics, or a related field.
Strong background in generative models, natural language processing (NLP), and large language models (LLMs).
5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976