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Machine Learning Biology Jobs in Arizona (NOW HIRING)

We're doing it with energy, curiosity and sheer dedication, always learning from unique ... biological tests are implemented with rigor and consistency; Support the implementation of ...

We're doing it with energy, curiosity and sheer dedication, always learning from unique ... biological tests are implemented with rigor and consistency; * Support the implementation of ...

We're doing it with energy, curiosity and sheer dedication, always learning from unique ... biological tests are implemented with rigor and consistency; * Support the implementation of ...

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Machine Learning Biology information

See Arizona salary details

$21.4K

$48.6K

$69.4K

How much do machine learning biology jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning biology in Arizona is $48,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $56,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Machine Learning Biology?

Professionals in Machine Learning Biology often deal with challenges such as handling large and complex biological datasets, integrating heterogeneous data types (like genomics, proteomics, or imaging), and addressing the noise and variability inherent in biological data. Interpreting results in a biologically meaningful way and ensuring reproducibility of models can also be complex, requiring close collaboration with experimental scientists. Many teams are cross-functional, so frequent communication with biologists, clinicians, and software engineers is important for project success. While these challenges can be demanding, they also offer opportunities for innovation and significant contributions to scientific discovery or medical advances.

Is ML a high paying job?

Machine Learning Biology roles are generally well-paid due to the specialized skills required, such as expertise in data analysis, programming, and biological sciences. Salaries vary based on experience, location, and industry, but they tend to be higher than average for many entry-level positions in related fields.

What is a Machine Learning Biology job?

A Machine Learning Biology job involves applying machine learning techniques to analyze biological data, such as genomic sequences, protein structures, or medical images. Professionals in this field develop algorithms to identify patterns, make predictions, and derive insights that can advance research in drug discovery, personalized medicine, and biotechnology. These roles typically require expertise in biology, data science, and programming, often using tools like Python, TensorFlow, or scikit-learn.

Is AI taking over biology jobs?

Machine Learning Biology professionals use AI and data analysis to advance biological research, but AI is generally a tool that complements rather than replaces human expertise. Many roles require domain knowledge, critical thinking, and interpretation skills that AI cannot fully replicate, so AI is more of an aid than a threat to biology jobs.

What are the key skills and qualifications needed to thrive in the Machine Learning Biology position, and why are they important?

To thrive as a Machine Learning Biology professional, you need expertise in both computational methods (especially machine learning and data science) and a solid understanding of biological sciences, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and working with biological databases are highly valued. Strong analytical thinking, problem-solving abilities, and effective interdisciplinary communication are key soft skills for this position. These competencies are vital for translating complex biological data into actionable insights and advancing research or product development in biotechnology and life sciences.

What is machine learning in biology?

Machine learning in biology involves using algorithms and statistical models to analyze biological data, such as genetic sequences or imaging, to identify patterns and make predictions. Professionals in this field often work with large datasets and tools like Python or R to develop models that can assist in tasks like disease diagnosis, drug discovery, and understanding biological processes.

What biology jobs pay over $100k?

In the field of machine learning biology, roles such as bioinformatics director, computational biologist, and data science lead often have salaries exceeding $100,000, especially with advanced skills in programming, statistical analysis, and experience with tools like Python, R, and machine learning frameworks. These positions typically require a strong background in biology and data science, along with relevant advanced degrees and experience in research or industry settings.
What job categories do people searching Machine Learning Biology jobs in Arizona look for? The top searched job categories for Machine Learning Biology jobs in Arizona are:
What cities in Arizona are hiring for Machine Learning Biology jobs? Cities in Arizona with the most Machine Learning Biology job openings:
Safety and Occupational Health Specialist

Safety and Occupational Health Specialist

Forest Service

Tucson, AZ โ€ข On-site, Remote

$61K - $97K/yr

Full-time

Posted 15 days ago


Job description

Summary
This position is located on a National Forest and/or Grasslands.The incumbent is the Safety Manager for the assigned duty location.
For additional information about the duties of this position, please contact Debby Gonzales at deborah.gonzales@usda.gov.
The closing date for this announcement has been extended to 7/13/2026. This meets all National Association of Government Employees (NAGE) Collective Bargaining Agreement.
Learn more about this agency
Duties
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  • Duties listed are at the full performance level.
  • Conduct on-site occupational health surveys and inspections of field operations and facilities.
  • Provide advice and guidance on Occupational Safety and Health Administration (OSHA) regulations and the Forest Service Safety Handbook.
  • Conduct follow-up analysis to determine the effectiveness of safety recommendations.
  • Develop and maintain Forest Service safety plans and job hazard analyses.
  • Assist working groups to ensure that safety and health considerations are met.
  • Participate as an advisory member on the leadership team, advising management officials on the status of the safety and occupational health program.
  • Develop reports and briefing summaries to identify accident and other health and safety trends.

Requirements
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Conditions of employment
  • Must be a U.S. Citizen or National.
  • Males born after 12/31/1959 must be Selective Service registered or exempt.
  • Subject to satisfactory adjudication of background investigation and/or fingerprint check.
  • Per Public Law 104-134 all Federal employees are required to have federal payments made by direct deposit to their financial institution.
  • Successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit e-verify.gov

Qualifications
In order to qualify, you must meet the eligibility and qualifications requirements as defined below by the closing date of the announcement. For more information on the qualifications for this position, visit the Office of Personnel Management's General Schedule Qualification Standards.
Your application and resume must clearly show that you possess the experience requirements. Transcripts must be provided for qualifications based on education. Provide course descriptions as necessary.
Basic Requirement:
GS-0018: Major related to safety or occupational health fields (safety, occupational health, industrial hygiene), or degree in other related fields that included or was supplemented by at least 24 semester hours of study from among the following (or closely related) disciplines: safety, occupational health, industrial hygiene, occupational medicine, toxicology, public health, mathematics, physics, chemistry, biological sciences, engineering, and industrial psychology.
OR experience in safety and occupational health that provided the specific knowledge, skills, and abilities to successfully perform the duties of the position.
In addition to meeting the basic requirement, you must also possess experience and/or directly related education in the amounts listed below.
Specialized Experience Requirement:
For the GS 09: You must have one year specialized experience equivalent to the GS 08 in the Federal service.
Specialized experience is defined as one or more of the following: Conducting or organizing safety training in the field or classroom; and/or leading or participating in after action incident reviews or facilitated learning analyses; and/or experiencing, certifying, and training in using mechanized equipment such as chainsaws, ATVs, snow machines, radios, and other equipment and resources used in natural resource management; and/or preparing and implementing project job hazard analyses; and/or participating in the applications of risk management principles in the development or implementation of projects or field operation.
OR a Master's or equivalent graduate degree or 2 full years of progressively higher level graduate education leading to such a degree or LL.B. or J.D., in one or more of the following disciplines: safety, occupational health, industrial hygiene, occupational medicine, toxicology, public health, mathematics, physics, chemistry, biological sciences, engineering, and industrial psychology;
OR an appropriate combination of specialized experience and education (only graduate education in excess of 18 semester hours may be used to qualify applicants for this grade level in one or more of the following disciplines: safety, occupational health, industrial hygiene, occupational medicine, toxicology, public health, mathematics, physics, chemistry, biological sciences, engineering, and industrial psychology).
For the GS 11: You must have one year specialized experience equivalent to the GS 09 in the Federal service.
Specialized experience is defined as one or more of the following: Participating or assisting in the development and implementation of a unit safety and risk management program; and/or coordinating, conducting; and/or organizing training in the field or classroom related to safety and risk management; and/or organizing, leading and/or participating in accident investigations, after action reviews or facilitating learning analyses; and/or reviewing, preparing and implementing project job hazard analyses.
OR a Ph.D. or equivalent doctoral degree or 3 full years of progressively higher-level graduate education leading to such a degree or LL.M., if related;
OR an appropriate combination of specialized experience and graduate level education (beyond what is required for a master's degree, i.e., more than 36 semester hours leading to a Ph.D.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
TIME IN GRADE REQUIREMENT: If you are a current federal employee in the General Schedule (GS) pay plan and applying for a promotion opportunity, you must meet time-in-grade (TIG) requirements of 52 weeks of service at the next lower grade level in the normal line of progression for the position being filled. This requirement must be met by the closing date of this announcement.
Education
This job does not have an education qualification requirement.
Additional information
Career Transition Assistance Plan (CTAP) or Reemployment Priority List (RPL): To exercise selection priority for this vacancy, CTAP/RPL candidates must meet the basic eligibility requirements and all selective factors. CTAP candidates must be rated and determined to be well qualified (or above) based on an evaluation of the competencies listed in the How You Will Be Evaluated section. When assessed through a score-based category rating method, CTAP applicants must receive a rating of at least 85 out of a possible 100.
Land Management Workforce Flexibility Act (LMWFA) provides current or former temporary and term employees the opportunity to compete for permanent competitive service positions. Individuals must have more than 24 months of service without a break between appointments of two or more years and the last temporary or term appointment must have been with the Forest Service. Service must be in the competitive service and have been at a successful level of performance or better. Part-time and intermittent service will be credited only for time actually worked. Non-pay status such as leave without pay is credited for up to six months in a calendar year; anything beyond six months is not credited. Applicants are responsible for providing sufficient information/documentation to determine if the 24 month criteria is met.
If you are selected for a position with further promotion potential, you will be placed under a career development plan, and may be non-competitively promoted if you successfully complete the requirements and if recommended by management. However, promotion is not guaranteed.
This position is not eligible for telework.
The Forest Service may use certain incentives and hiring flexibilities, currently offered by the Federal government, to attract highly qualified candidates. Additional Information is available on the OPM Website.
A recruitment or relocation incentive, or reimbursement of relocation expenses may be authorized at the discretion of management in accordance with agency policy.
This is a bargaining unit position and is represented by either NFFE, AFGE, or NAGE.
Positions filled from this announcement may be a bargaining or a non-bargaining unit position represented by either NFFE, AFGE or NAGE.
Forest Service daycare facilities are not available.
Government Housing may be available.
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.