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Remote Bioinformatics Machine Learning Jobs in Alabama

Sbdinc

$67K - $108K/yr

Utilize SFDC to collect and maintain data about products, machines, materials, end users, and ... Stay updated on industry trends by attending trade shows and seminars and learning about innovative ...

Cloudera

$171K - $210K/yr

Data Engineering, Data Science or Machine Learning * Operations, Security and Data Governance ... Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... and machine learning enablement * Promote architectural patterns that enable resilience ...

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 ...

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Remote Bioinformatics Machine Learning information

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, 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.

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 Alabama? The most popular types of Bioinformatics Machine Learning jobs in Alabama are:
What are popular job titles related to Remote Bioinformatics Machine Learning jobs in Alabama? For Remote Bioinformatics Machine Learning jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Alabama look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Alabama are:
What cities in Alabama are hiring for Remote Bioinformatics Machine Learning jobs? Cities in Alabama with the most Remote Bioinformatics Machine Learning job openings:
Remote Bioinformatics Machine Learning jobs near you

Software Developer, Power BI/ Vantage

QBE LLC (Federal)

Huntsville, AL • On-site, Remote

Other

Posted 4 days ago

Job description

Description

This position requires an ACTIVE security clearance.

This position can be performed remote from anywhere, but may require up to 15% travel.


As a Power BI / Vantage Software Developer you will deliver advanced data analytics, data visualization, and reporting/dashboarding solutions in support of the U.S. Army's energy and water use metering program. The total solution is considered a system-of-systems with developed applications integrating with the Army enterprise cloud and data environment. You will work closely with cross-functional teams to ensure seamless integration and optimal performance.  


Key Responsibilities

  • Collaborate with business analysts and stakeholders to gather requirements and translate them into technical solutions.
  • Design, develop, and maintain interactive dashboards and reports using Power BI and Vantage Software to support program performance, cost, and readiness reporting.
  • Develop and maintain ETL/ELT processes to ensure accurate and timely data delivery.
  • Ensure data quality, consistency, and governance across reporting solutions.
  • Integrate Power BI solutions with other enterprise systems and APIs as needed.
  • Optimize performance of large-scale datasets and ensure efficient query execution.
  • Collaborate with program managers, analysts, and government stakeholders to define reporting requirements and key performance indicators (KPIs)
  • Build and optimize data models for efficiency, scalability, and compliance with DoD standards
  • Implement robust data security, role-based access controls, and ensure compliance with DoD cybersecurity policies (e.g., RMF, NIST)
  • Troubleshoot, maintain, and enhance existing BI tools to meet evolving contract requirements
  • Stay current with DoD data governance policies, analytics trends, and best practices.

#qf

#qg

Requirements

REQUIRED QUALIFICATIONS:

  • Bachelor's degree in Computer Science, Information Technology, or a related field (or related experience).
  • Proven experience developing with Power BI and Vantage Software in a DoD or government contracting environment.
  • Strong hands-on experience with Power BI development and data modeling (DAX, Power Query,      data modeling, measures).
  • Knowledge of ETL processes, data warehousing, and DoD data standards.
  • Security+ Certification
  • Active US Government Clearance at Secret level or higher
  • Effective written and verbal communications skills for collaboration with both customers and fellow team members.
  • Ability to sit for extended periods of time.
  • Ability to regularly lift at least 25 pounds.
  • Ability to commute to the designated onsite work location as required.

Preferred Qualifications

  • Advanced degree in Computer Science, Information Technology, or a related field.
  • Experience with Azure Government Cloud, SSRS/SSAS, or similar BI technologies.
  • Experience with data governance, security, and compliance frameworks.
  • Exposure to Python, R, or scripting languages for data automation.
  • Background in advanced analytics, predictive modeling, or machine learning.

QBE is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender, gender-identity and/or expression, age, disability, Veteran status, genetic information, pregnancy (including childbirth, lactation, or other related medical conditions), marital-status, neurodivergence, ethnicity, ancestry, caste, military/uniformed service-member status, or any other characteristic protected by applicable federal, state, local, or international law.

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