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Remote Bioinformatics Machine Learning Jobs in Saint Louis, MO

GRVTY

Imagery Scientist (EO)- Expert

Saint Louis, MO · On-site +1

$180K - $210K/yr

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... Experience applying CV and machine learning (ML) techniques to EO imagery and data to address ...

Bayer

Staff Engineer, Mobile Cross-platform

Creve Coeur, MO · On-site +1

$130K - $180K/yr

We're doing it with energy, curiosity and sheer dedication, always learning from unique ... You will have the opportunity to work with large, "big data" sets such as scientific data, machine ...

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All JobsBioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning Jobs in Saint Louis, MO

Remote Bioinformatics Machine Learning information

See Saint Louis, MO salary details

$57.8K

$91.8K

$145.3K

How much do remote bioinformatics machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote bioinformatics machine learning in Saint Louis, MO is $91,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $125,900.00 per year, depending on experience, location, and employer.

How do remote bioinformatics machine learning professionals typically collaborate with cross-functional teams?

Remote bioinformatics machine learning professionals often work closely with biologists, data scientists, and software engineers. Collaboration is typically facilitated through virtual meetings, shared code repositories, and project management tools. Regular communication is essential to align on data requirements, model development, and interpretation of results. While remote work offers flexibility, it requires strong organizational skills and proactive engagement to ensure seamless teamwork and project success.

What is a remote bioinformatics machine learning specialist?

A Remote Bioinformatics Machine Learning specialist is a professional who applies machine learning techniques to biological data, such as genomics or proteomics, while working from a remote location. They analyze complex biological datasets to uncover patterns, make predictions, and contribute to advancements in areas like drug discovery, disease research, and personalized medicine. These specialists typically have strong skills in programming, statistics, biology, and data analysis, and collaborate with researchers and healthcare professionals through digital communication tools.

What are the key skills and qualifications needed to thrive as a remote bioinformatics machine learning specialist?

To excel as a Remote Bioinformatics Machine Learning Specialist, a strong background in computational biology, statistics, and machine learning—often supported by an advanced degree in bioinformatics, computer science, or a related field—is essential. Proficiency with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with bioinformatics tools and databases are typically required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively and independently in remote environments. These abilities are vital for developing accurate models, interpreting complex biological data, and contributing meaningful insights to scientific research.

What is the difference between Remote Bioinformatics Machine Learning vs Remote Computational Biologist?

AspectRemote Bioinformatics Machine LearningRemote Computational Biologist
Required CredentialsMaster's or PhD in Bioinformatics, Computer Science, or related fields; experience in machine learningMaster's or PhD in Biology, Bioinformatics, or related fields; strong computational skills
Work EnvironmentRemote, collaborative teams in biotech, pharma, or research institutionsRemote or on-site, working in research labs or academic settings
Industry UsageUsed in biotech, healthcare, and pharmaceutical industries for data analysis and model developmentCommon in academic research, biotech, and healthcare for biological data interpretation

Remote Bioinformatics Machine Learning focuses on developing algorithms and models to analyze biological data using machine learning techniques. In contrast, Remote Computational Biologist applies computational methods to biological research questions, often integrating diverse data types. Both roles require strong computational skills and often overlap, but the former emphasizes machine learning expertise, while the latter has a broader biological research scope.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Saint Louis, MO? The most popular types of Bioinformatics Machine Learning jobs in Saint Louis, MO are:
What are popular job titles related to Remote Bioinformatics Machine Learning jobs in Saint Louis, MO? For Remote Bioinformatics Machine Learning jobs in Saint Louis, MO, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Saint Louis, MO look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Saint Louis, MO are:
Remote Bioinformatics Machine Learning jobs near you
Infographic showing various Remote Bioinformatics Machine Learning job openings in Saint Louis, MO as of June 2026, with employment types broken down into 6% Full Time, 55% Part Time, 13% Temporary, 13% Contract, and 13% Nights. Highlights an 35% Physical, 3% Hybrid, and 62% Remote job distribution, with an average salary of $91,850 per year, or $44.2 per hour.

Imagery Scientist (EO)- Expert

GRVTY

Saint Louis, MO • On-site, Remote

$180K - $210K/yr

Full-time

Re-posted 23 days ago

Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced imagery scientist to serve as the lead Electro-Optical subject matter expert (SME) on our dynamic team. The ideal candidate is an expert imagery scientist with a passion for advanced scientific problem solving, imagery exploitation, and operational intelligence support. This role will drive solutions informed by specific phenomenology limitations and advantages of the sensors and platforms in mind.

What You'll be Owning

  • Serve as the lead technical authority for EO exploitation and imagery science initiatives.
  • Analyze:
    • EO collection capabilities
    • Sensor phenomenology
    • Image formation processes
  • Exploit imagery to identify and locate objects of interest across intelligence scenarios
  • Develop, test, and evaluate:
    • New algorithms
    • Exploitation methodologies
    • Scientific workflows
    • Automated processing techniques
  • Utilize advanced processing tools including:
    • Python
    • MATLAB
    • Google Earth Engine
  • Support automation of EO scientific processing and analysis workflow
  • Assess emerging EO sensor characteristics and capabilities
  • Evaluate impacts to:
    • Metadata structures
    • Data formats
    • APIs and ETL processes
    • Existing operational pipelines
  • Develop strategies to:
    • Pre-process EO imagery
    • Normalize and standardize datasets
    • Convert formats and tile imagery
  • Prepare imagery for:
    • Labeling
    • Model testing
    • Advanced exploitation workflows
  • Investigate gaps in emerging EO sensor capabilities
  • Collaborate with SAR Imagery Scientists to:
    • Identify coincident imagery opportunities
    • Align EO imagery with temporal and geographic collection windows
  • Support multi-INT exploitation workflows

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • 4+ years of expert EO imagery exploitation and imagery science experience
  • Demonstrated expertise in:
    • EO collection systems
    • Remote sensing phenomenology
    • Image formation processes
    • Exploitation products and methodologies
  • Experience exploiting EO imagery to:
    • Detect
    • Identify
    • Locate objects of interest
  • Experience developing and evaluating:
    • Algorithms
    • Scientific workflows
    • Exploitation methodologies
  • Hands-on experience using:
    • Python
    • MATLAB
    • Google Earth Engine
    • EO imagery processing tools
  • Experience automating scientific processing workflows
  • Experience developing and evaluating:
    • Algorithms
    • Automated workflows
    • Scientific exploitation methods
  • Deep understanding of:
    • Remote sensing principles
    • EO imagery processing
    • Advanced exploitation methods
    • Sensor/platform limitations and advantages
  • Proven ability to communicate technical concepts to:
    • Technical audiences
    • Non-technical stakeholders
    • Intelligence users

What Would be Nice to Have

  • Experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems

Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.
Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

Virginia Pay Range
$180,000—$210,000 USD

Why Choose GRVTY

The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world.

We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.

At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.

• Robust health plan including medical, dental, and vision

• Health Savings Account with company contribution

• Annual Paid Time Off and Paid Holidays

• Paid Parental Leave

• 401k with generous company match

• Training and Development Opportunities

• Award Programs

• Variety of Company Sponsored Events

EEO Statement

GRVTY, is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.

Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details.  A member of the HR team will respond to your request within 2 business days. 

Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) 

Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.