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Remote Biotech Software Engineer Jobs in Dallas, TX

Addison Group

Sr. Software Engineer

Dallas, TX · Remote

$170K - $220K/yr

Job Title: Senior Software Engineer - Cloud Infrastructure / Network Automation Industry: Cloud ... Hybrid (3 days onsite, 2 days remote) Assignment Type: Direct Hire Pay: $170,000-$220,000 base ...

F & I Sentinel Llc

Senior Software Engineer

Dallas, TX · Remote

$140K - $160K/yr

Remote REPORTS TO: Lead Software Engineer KEY RELATIONSHIPS AND TEAM: The Senior Software Engineer reports to the Lead Engineer and sits within the Dev Team, working closely alongside the product ...

New

Abbott

Associate Software Engineer

Irving, TX · On-site +1

$50K - $101K/yr

The Opportunity This role, the Associate Software Engineer works on site out of our Irving, TX ... remote support features for our service organizations, and developing integrations with AI tools.

New

Abbott

Associate Software Engineer

Irving, TX · On-site +1

$50K - $101K/yr

The Opportunity This role, the Associate Software Engineer works on site out of our Irving, TX ... remote support features for our service organizations, and developing integrations with AI tools.

New

AppFolio

Sr. Software Engineer - Accounting

Richardson, TX · On-site +1

$110K - $145K/yr

We support fully remote work, but we have very nice offices in Santa Barbara, CA and San Diego, CA. About this job We're looking for a Senior Software Engineer to join a 6-person cross-functional ...

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All JobsBiotech Software Engineer JobsRemote Biotech Software Engineer JobsRemote Biotech Software Engineer Jobs in Dallas, TX

Remote Biotech Software Engineer information

See Dallas, TX salary details

$62.8K

$145.9K

$203.3K

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

As of Aug 9, 2026, the average yearly pay for remote biotech software engineer in Dallas, TX is $145,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,700.00 and $171,100.00 per year, depending on experience, location, and employer.

How does a remote biotech software engineer typically collaborate with cross-functional teams in a distributed work environment?

Remote Biotech Software Engineers often work closely with scientists, data analysts, and product managers through virtual collaboration tools such as Slack, Zoom, and project management platforms. Effective communication and regular updates are essential to ensure alignment on project goals, especially when integrating software solutions with laboratory workflows or bioinformatics pipelines. Engineers may participate in daily stand-up meetings, code reviews, and sprint planning sessions to stay connected and address challenges promptly. Building strong relationships remotely requires proactive engagement and clear documentation to bridge the gap between technical and scientific teams.

What is a remote biotech software engineer?

A Remote Biotech Software Engineer is a professional who develops, maintains, and optimizes software applications for biotechnology companies while working outside of a traditional office setting, often from home or another remote location. Their work typically involves creating tools for bioinformatics, data analysis, laboratory automation, or clinical research, supporting scientists and researchers in the biotech field. These engineers use programming languages and frameworks to solve complex biological problems, ensure data integrity, and streamline research processes. The role requires strong technical skills, knowledge of biotechnology concepts, and the ability to collaborate virtually with multidisciplinary teams.

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

To thrive as a Remote Biotech Software Engineer, you need strong programming skills (such as Python, Java, or C++), a solid understanding of biology or bioinformatics, and a relevant degree in computer science, bioinformatics, or a related field. Familiarity with bioinformatics tools, cloud computing platforms (like AWS or Azure), and version control systems (such as Git) is typically required, along with experience using specialized biotech databases and APIs. Excellent problem-solving, self-motivation, and effective remote communication are crucial soft skills for collaborating with cross-functional teams and managing independent workloads. These competencies ensure reliable, innovative software solutions that advance biotech research and development while maintaining productivity in a remote work environment.

What is the difference between Remote Biotech Software Engineer vs Remote Bioinformatics Software Developer?

AspectRemote Biotech Software EngineerRemote Bioinformatics Software Developer
Required CredentialsBachelor's or Master's in Bioinformatics, Biotechnology, or Computer Science; coding skillsBachelor's or Master's in Bioinformatics, Computer Science, or related; programming experience
Work EnvironmentLaboratories, biotech companies, remote teamsResearch labs, biotech firms, remote collaboration
Industry UsageBiotech, pharmaceutical, healthcareGenomics, molecular biology, healthcare research

The main difference is that Remote Biotech Software Engineers focus on developing software for biotech applications, often working closely with lab teams, while Remote Bioinformatics Software Developers primarily analyze biological data and develop algorithms. Both roles require programming skills and are common in biotech industries, but their focus areas differ slightly.

What are popular job titles related to Remote Biotech Software Engineer jobs in Dallas, TX? For Remote Biotech Software Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Biotech Software Engineer jobs in Dallas, TX look for? The top searched job categories for Remote Biotech Software Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Biotech Software Engineer jobs? Cities near Dallas, TX with the most Remote Biotech Software Engineer job openings:
Remote Biotech Software Engineer jobs near you
Infographic showing various Remote Biotech Software Engineer job openings in Dallas, TX as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $145,935 per year, or $70.2 per hour.

Software Engineer - AI Specialist | Remote

GigWorld Talent Solutions

Dallas, TX • On-site, Remote

Full-time

Re-posted 28 days ago

Job description

Job Description Software Engineer - AI Specialist | Remote Permanent, Full-Time We are supporting an innovative technology firm dedicated to building AI-driven solutions that drive efficiency and transformation across industries. We are seeking a highly skilled Software Engineer specializing in Artificial Intelligence to develop, optimize, and deploy AI-powered applications. Responsibilities: Design, develop, and implement AI models and machine learning algorithms.

Collaborate with cross-functional teams to integrate AI solutions into existing platforms. Optimize AI models for performance, scalability, and efficiency. Research and apply the latest advancements in AI and deep learning.

Develop and maintain data pipelines and AI-driven analytics systems. Ensure AI models are robust, ethical, and aligned with best practices. Troubleshoot and improve AI-based applications as needed.

Stay updated on emerging AI trends and technologies. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in AI and machine learning development.

Proficiency in programming languages such as Python, Java, or C++. Strong understanding of AI frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Experience with natural language processing (NLP), computer vision, or predictive analytics

Knowledge of data science methodologies and model evaluation techniques. Experience with cloud platforms and AI services (AWS, Azure, GCP). Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications: Experience with reinforcement learning and generative AI models. Familiarity with AI ethics, bias mitigation, and explainability techniques. Contribution to open-source AI projects.

Understanding of big data technologies and distributed computing. Benefits: Competitive salary and performance-based incentives. Flexible work schedule and remote work opportunities.

Professional development and continuous learning resources. Opportunity to work with a passionate and innovative team in a fast-growing industry.

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