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Bioinformatics Machine Learning Jobs (NOW HIRING)

Axle

Bioinformatics Engineer

Rockville, MD · On-site

They are seeking a Bioinformatics Engineer to join their team supporting major pharmaceutical ... machine learning applications • Implement best practices for workflow versioning ...

Bruker

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...

Axle

Bioinformatics Engineer

Rockville, MD

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... or machine learning applications * Implement best practices for workflow versioning ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site

$199K - $283K/yr

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

Bruker

Scientist, Bioinformatics

Saint Louis, MO

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

At Freenome, we are seeking a Staff 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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Bioinformatics Machine Learning information

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$59.5K

$94.5K

$149.5K

How much do bioinformatics machine learning jobs pay per year?

As of Jul 19, 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:
Bioinformatics Machine Learning jobs near you
Infographic showing various 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 $94,474 per year, or $45.4 per hour.
Machine Learning Engineer/Scientist

Machine Learning Engineer/Scientist

Precise Systems

Edgewood, MD

Full-time

Medical, Life, Retirement

Posted 27 days ago

Job description

Precise Systems delivers integrated, mission-ready solutions that advance warfighter readiness and strengthen our nation’s most critical defense programs. Through the power of our combined capabilities, we provide deep expertise in Advanced Engineering; Digital Transformation; Electromagnetic Warfare; Interactive Training & Simulation; Physical Sciences Research; Platform Lifecycle Support; and Foreign Military Sales. Unified by decades of trusted performance and expanded through strategic growth, our team applies innovative technologies, engineering rigor, and customer-focused execution to solve complex challenges and accelerate mission success. Guided by our commitment to partnership, precision, and performance, we deliver the scalable solutions and technical excellence our customers depend on—today and into the future.

We are seeking a Machine Learning Engineer or Scientist with experience in the physical sciences to support innovative chemical and biological defense projects that integrate automation, and physical science principles. The selected candidate will apply their academic and practical knowledge, experience, and expertise in chemical & biological research and perform data analytics using data science principles. The role involves integrating predictive performance metrics into laboratory processes using pythonic dashboards, adapting metrics and models to project needs, developing pipelines for chemical or biological data, and executing them in laboratory settings to achieve desired outcomes.

This role requires in-person support.

Duties:

  • Under the guidance of senior professionals, the individual will perform tasks encompassing research, development, testing, and evaluation of machine learning models towards chemical and biological datasets. The candidate will contribute to advancing chemical and biological research and development that drives innovation to out-pace emerging threats while simultaneously providing modern solutions
  • Collaborate with interdisciplinary teams to develop machine learning solutions for biological/chemical challenges.
  • Develop and apply state-of-the-art machine learning (ML) tools and algorithms to optimize DoD research efforts.
  • Perform internal verification and validation of models and code to ensure deployments for real laboratory use.
  • Develop and implement dashboards or other graphical user interfaces for automation for laboratory experimentation.
  • Analyze biological or chemical data using languages such as Python and R to derive mathematical insights and improve system performance.
  • Employ DevSecOPs and MLOps to integrate machine learning processes into secure data pipelines.
  • Collaborate with academic and industry partners to test and refine algorithms and biological systems in diverse environments.
  • Perform research to keep models and analysis up to date with the latest advancements.

Required Education:

  • Master’s degree in Computer Science, Computer Engineering, Computational Biology, Bioinformatics
  • OR Bachelor’s degree in a relevant field with 5 years of experience in a laboratory and/or computational environment.

Preferred Education:

  • Ph.D. in Computational Biology/Chemistry, Machine Learning, Physical Sciences, or a related field with 1 year of experience in a laboratory and/or computational environment.

Required Experience:

  • 3 years of experience in a laboratory and/or computational environment.
  • Hands-on experience applying machine learning algorithms and data science techniques to physical science problems.
  • Proficiency in Python and other programming languages commonly used in machine learning and data analysis.
  • Familiarity with physical science and laboratory experience.
  • Proficiency with software development approaches such as agile, git, DevSecOps, and/or MLOps.
  • Advanced communication skills for interacting with interdisciplinary teams, government representatives, and industry partners.
  • Willingness to learn new technologies and take on new challenges.
  • Strong written and oral communication skills, excellent interpersonal skills, and proficiency in PC software packages for data analysis and visualization.

Preferred Experience:

  • Expertise in advanced machine learning frameworks (e.g., TensorFlow, PyTorch) and their application to biological data.
  • Experience with bioinformatics tools and databases.
  • Experience performing wet laboratory experimentation to validate software and models.
  • Knowledge of automation systems and robotics for laboratory workflows.
  • Collaboration with academic and industry partners on synthetic biology and machine learning projects.

Must be able to obtain and maintain a Secret security clearance. Due to the sensitivity of customer related requirements, U.S. Citizenship is required.

Precise Systems values employee contributions, promotes diverse opportunities for professional growth, and prioritizes overall well-being. Our comprehensive professional services benefits package includes health insurance, life and accidental death and dismemberment coverage, disability insurance, retirement plans, holiday pay, employee-managed leave, and professional growth opportunities.

We recognize exceptional performance and alignment with our core values through our STAR Award recognition program.

Compensation at Precise Systems is determined by various factors, including education, experience, skills, competencies, and contract-specific requirements. The salary range for this position is $76,709.46 - $115,064.18  (annualized USD). This range represents the standard pay for this role and is just one component of Precise Systems’ total compensation package.

Precise Systems is committed to fair and equitable pay practices in alignment with applicable pay transparency laws and equal employment opportunity standards.

Precise Systems is dedicated to a shared vision and core values of Integrity, Respect, and Responsibility, which foster innovation and drive our continued success in the global marketplace. Precise Systems and its subsidiaries are Equal Opportunity /Affirmative Action Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, protected veteran status, status as an individual with a disability, or any legally protected status under federal, state, or local law. Visit www.GoPrecise.com for a listing of current openings and our comprehensive, employee friendly benefits summary.  Precise Systems participates in E-Verify.


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