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Remote Bioinformatics Machine Learning Jobs in Decatur, AL

PingWind

AI Solution Engineer- Ops

Huntsville, AL · On-site +1

... days remote Position Description This position supports the Golden Dome Supply Chain Enterprise program by executing analytics workflows, data ingestion pipelines, and machine learning model ...

PingWind

AI Solution Engineer- Ops

Huntsville, AL · On-site +1

... days remote Position Description This position supports the Golden Dome Supply Chain Enterprise program by executing analytics workflows, data ingestion pipelines, and machine learning model ...

Pae

Data Architect IRES - HSV

Redstone Arsenal, AL · On-site +1

$65 - $83.75/hr

None available at this time Remote/Telework: NO Clearance Type: DoD Secret Shift: Day shift Travel ... Must have an understanding of Machine Learning (ML), Natural Language Processing (NLP), and ...

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Remote Bioinformatics Machine Learning information

See Decatur, AL salary details

$55.8K

$88.6K

$140.2K

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

As of Jun 2, 2026, the average yearly pay for remote bioinformatics machine learning in Decatur, AL is $88,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,300.00 and $121,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Bioinformatics Machine Learning Specialist, and why are they important?

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.

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 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 popular job titles related to Remote Bioinformatics Machine Learning jobs in Decatur, AL? For Remote Bioinformatics Machine Learning jobs in Decatur, AL, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Decatur, AL look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Decatur, AL are:
What cities near Decatur, AL are hiring for Remote Bioinformatics Machine Learning jobs? Cities near Decatur, AL with the most Remote Bioinformatics Machine Learning job openings:
Remote Bioinformatics Machine Learning jobs near you
AI Solution Engineer- Ops

AI Solution Engineer- Ops

PingWind

Huntsville, AL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

Location: Huntsville, AL or Washington, DC
Required Clearance: TS/SCI Eligible
Required Education: HS/GED
Required Experience: Minimum of 4 years of experience in data science, analytics engineering, ML, operations, or AI

Hybrid: 3 days of onsite/ 2 days remote 

Position Description

This position supports the Golden Dome Supply Chain Enterprise program by executing analytics workflows, data ingestion pipelines, and machine learning model operations within the operations and implementation branch. The engineer works under the technical direction of an Exiger AI Solution Engineer lead, executing ETL processes, analytics production runs, and pipeline maintenance that feed the program's Red Team and Blue Team analytic constructs

Responsibilities

   Execute ETL pipelines for supply chain data ingestion including customer technical data packages, transformation, and loading into the Exiger environment
   Run and monitor ML model inference jobs, flagging anomalies and performance degradation to the lead
   Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks (Airflow, Spark, dbt, or equivalent)
   Produce analytics outputs that feed Red Team vulnerability assessments and Blue Team mitigation planning
   Participate in data quality validation workflows and contribute to confidence scoring documentation
   Support iterative analytics configuration releases based on Government feedback cycles
   Maintain pipeline documentation, run logs, and provenance records per program governance standards


Required Qualifications

    Minimum 4 years of experience in data science, analytics engineering, ML operations, or AI
   Proficiency in Python, SQL, and data pipeline tools (Airflow, Spark, pandas, dbt, or equivalent); working knowledge of relational and cloud data platforms (PostgreSQL, Snowflake, or equivalent)
   Experience with ETL/ELT processes, data transformation, and analytics production workflows across structured and semi-structured data sources
   Familiarity with ML model deployment and monitoring in cloud environments (AWS, Azure, or equivalent)
   Experience working under technical oversight in an integrated government delivery team
   Strong documentation practices and ability to maintain auditable process records

Desired Qualifications

   Experience with ETL/ELT processes, data transformation, and analytics production workflows across structured and semi-structured data sources
   Familiarity with ML model deployment and monitoring in cloud environments (AWS, Azure, or equivalent)
   Experience working under technical oversight in an integrated government delivery team
   Strong documentation practices and ability to maintain auditable process records

Desired Qualifications

   Experience with supply chain data, entity resolution, or risk analytics
   Familiarity with government data handling requirements (CUI, NIST 800-171)
   Experience with containerized deployments (Docker/Kubernetes)
   Experience with PostgreSQL, Snowflake, or similar cloud data warehouse platforms in production analytics environments

About PingWind

PingWind is focused on delivering outstanding services to the federal government. We have extensive experience in the fields of cybersecurity, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvement. PingWind is an SBA certified Service-Disabled Veteran-Owned Small Business (SDVOSB) with offices in Northern Virginia and Huntsville AL.
www.PingWind.com

Our benefits include:

      Eleven Federal Holidays
      Paid Time Off accrued each pay period
      Parental Leave
      Three medical plan choices with generous employer contribution
      Dental and Vision Insurance
      Company paid Short-Term and Long-Term Disability
      Company paid Life and AD&D Insurance
      401k with competitive matching and vesting schedule 
      Continuing education assistance
      Short Term / Long Term Disability & Life Insurance
      Medical, Dependent Care and Commuter Flexible Spending Accounts
      Employee Assistance Program 
      Wellness benefits include Calm Health app and WellHub gym subsidy (formerly GymPass)
      529 College Savings Plan
      Legal Insurance 
      Pet Insurance

Veterans are encouraged to apply

PingWind, Inc. does not discriminate in employment opportunities, terms, and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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