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Remote Algorithmic Trading Software Developer Jobs in Abilene, TX

micro1 AI

Bioinformatics Software Engineer

Abilene, TX · 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 ...

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Remote Algorithmic Trading Software Developer information

See Abilene, TX salary details

$46.5K

$108.3K

$160.7K

How much do remote algorithmic trading software developer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote algorithmic trading software developer in Abilene, TX is $108,273.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,100.00 and $125,800.00 per year, depending on experience, location, and employer.

What is a remote algorithmic trading software developer?

Remote Algorithmic Trading Software Developers are professionals who design, develop, and maintain software systems that automate the trading of financial instruments using algorithms. They work from remote locations, leveraging their expertise in programming, quantitative analysis, and financial markets to create and optimize trading strategies. Their responsibilities include writing efficient code, backtesting strategies, integrating with broker APIs, and ensuring system reliability. These developers often collaborate with traders, data scientists, and other engineers to improve trading performance and adapt to changing market conditions.

What are the key skills and qualifications needed to thrive as a remote algorithmic trading software developer?

To thrive as a Remote Algorithmic Trading Software Developer, you need strong programming skills (commonly in Python, C++, or Java), a background in mathematics or quantitative finance, and experience developing trading algorithms. Familiarity with trading platforms, APIs, version control systems (like Git), and cloud computing tools is typically required, along with knowledge of market data feeds and order management systems. Critical soft skills include problem-solving, attention to detail, and effective communication for collaborating remotely with teams. These skills ensure robust, efficient trading systems and allow for quick adaptation to volatile market environments.

How does a remote algorithmic trading software developer typically collaborate with quantitative analysts and traders?

As a Remote Algorithmic Trading Software Developer, you will regularly work with quantitative analysts and traders to translate trading strategies into efficient, robust code. Collaboration often involves virtual meetings to discuss requirements, clarify algorithm logic, and iterate on prototypes based on backtesting results. Clear communication is essential, as you’ll need to ensure your implementations align closely with the team's risk management and performance goals. Most teams use collaboration tools like Slack or Jira, and code repositories like Git, to stay coordinated despite the remote setup.

What cities near Abilene, TX are hiring for Remote Algorithmic Trading Software Developer jobs?

Cities near Abilene, TX with the most Remote Algorithmic Trading Software Developer job openings:

Remote Algorithmic Trading Software Developer jobs near you

Bioinformatics Software Engineer

micro1 AI

Abilene, TX • Remote

$80 - $110/hr

Part-time

Posted 20 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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