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Remote Bloomberg Software Engineer Jobs in Green Bay, WI

micro1 AI

Bioinformatics Software Engineer

Green Bay, WI · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

1 point system

Senior OTM Developer

Green Bay, WI · Remote

Job Title Senior OTM Developer Location Remote Description : OTM (Oracle Transportation Management ... on-premises logistics software to improve transportation planning, execution, and freight ...

Atwell, LLC

Gas Distribution Designer

Green Bay, WI · On-site +1

... remote flexibility on other days. The ideal candidate will have experience using CAD software to ... Coordinate with project managers, engineers, utility representatives, construction teams, and ...

Ruekert & Mielke

Water/Wastewater Project Manager

Green Bay, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency with AutoCAD and related engineering software * Ability to independently evaluate ... Remote/flexible hours * Generous personal time off and holiday programs * Health, dental, vision ...

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All JobsBloomberg Software Engineer JobsRemote Bloomberg Software Engineer JobsRemote Bloomberg Software Engineer Jobs in Green Bay, WI

Remote Bloomberg Software Engineer information

See Green Bay, WI salary details

$61.8K

$143.5K

$199.9K

How much do remote bloomberg software engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote bloomberg software engineer in Green Bay, WI is $143,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $168,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote Bloomberg software engineer?

To thrive as a Remote Bloomberg Software Engineer, you need strong programming skills (such as Python, C++, or Java), a solid understanding of computer science fundamentals, and typically a degree in Computer Science or related field. Familiarity with Bloomberg's proprietary systems, distributed computing, cloud technologies, and Agile development tools is highly valued, as is experience with CI/CD pipelines. Excellent problem-solving abilities, remote communication skills, and self-motivation distinguish top engineers in this role. These competencies ensure the delivery of robust, scalable financial software solutions and effective collaboration in a distributed work environment.

What does a Remote Bloomberg Software Engineer do?

A Remote Bloomberg Software Engineer is responsible for designing, developing, and maintaining software solutions for Bloomberg's financial products and services while working from a remote location. They collaborate with team members, write code, debug issues, and ensure the software meets high standards for reliability and performance. This role often involves working with large data sets, real-time systems, and financial technology platforms. Remote engineers use various programming languages and tools to build scalable and secure applications that serve Bloomberg’s global client base.

How does a remote Bloomberg software engineer collaborate effectively with global teams and stakeholders?

As a Remote Bloomberg Software Engineer, collaboration with global teams is facilitated through a mix of synchronous and asynchronous communication tools such as Slack, video conferencing, and internal documentation platforms. You'll often participate in agile ceremonies, code reviews, and pair programming sessions with colleagues across different time zones. Effective communication, proactive updates, and adaptability to diverse work styles are key to overcoming challenges in remote teamwork. Building strong relationships with product managers, QA engineers, and other developers is essential for delivering robust, client-focused solutions.

What is the difference between Remote Bloomberg Software Engineer vs Remote Bloomberg Data Analyst?

AspectRemote Bloomberg Software EngineerRemote Bloomberg Data Analyst
Required CredentialsComputer Science degree, coding skills (Java, C++, Python)Statistics, data analysis, SQL proficiency
Work EnvironmentDeveloping software, coding, debuggingData interpretation, reporting, data management
Employer & Industry UsageFinancial services, technology teams at BloombergFinancial data, market analysis teams at Bloomberg

While both roles work within Bloomberg's financial ecosystem, Remote Bloomberg Software Engineers focus on building and maintaining software applications, requiring coding expertise. In contrast, Remote Bloomberg Data Analysts analyze financial data to generate insights, emphasizing statistical and analytical skills. Both roles are essential in supporting Bloomberg's financial services, but they differ in daily tasks and skill sets.

What are the most commonly searched types of Bloomberg Software Engineer jobs in Green Bay, WI? The most popular types of Bloomberg Software Engineer jobs in Green Bay, WI are:
What are popular job titles related to Remote Bloomberg Software Engineer jobs in Green Bay, WI? For Remote Bloomberg Software Engineer jobs in Green Bay, WI, the most frequently searched job titles are:
What job categories do people searching Remote Bloomberg Software Engineer jobs in Green Bay, WI look for? The top searched job categories for Remote Bloomberg Software Engineer jobs in Green Bay, WI are:
What cities near Green Bay, WI are hiring for Remote Bloomberg Software Engineer jobs? Cities near Green Bay, WI with the most Remote Bloomberg Software Engineer job openings:
Remote Bloomberg Software Engineer jobs near you

Bioinformatics Software Engineer

micro1 AI

Green Bay, WI • Remote

$80 - $110/hr

Part-time

Posted 10 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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