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Remote Biotech Software Engineer Jobs (NOW HIRING)

Bayesian Health

Software Engineer, Analytics

Software Engineer, Analytics In Brief * We're an early-stage startup on a mission to make health ... We're funded by top tier tech and biotech investors: Obvious Ventures, Andreessen Horowitz ...

Knexus

AI Software Engineer (Remote)

Vienna, VA · Remote

We're looking for an experienced AI Software Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote position for candidates in the continental U.S., with work ...

VUPICO

Software Engineer

San Diego, CA · On-site +1

$138K - $178K/yr

... and remote work options. Salary: $138,000-$178,000 per year Join Our Team: If you are a talented and ambitious Software Engineer looking for an opportunity to grow and excel in a dynamic and ...

Proven Software

$140K - $170K/yr

Join Proven as a Senior Software Engineer and experience the thrill of working in a dynamic, fully remote but fully engaged environment. You will be part of a passionate team dedicated to crafting ...

Fuku

Software Engineer

San Francisco, CA · On-site +1

B achelor's degree in Computer Science, Software Engineering, or a related field. * P roven ... F lexible working hours and remote work options. * G enerous paid time off and holiday leave. * A ...

Almost Fun

Our software engineers will : * Participate in a weekly team reading group focused on research on ... This is a remote position that pays hourly. Preferred skills for this role are: * A commitment to ...

Motorola

Software Engineer

Salt Lake City, UT · Remote

Design systems for remote device provisioning, configuration, and software updates * Improve ... Experience mentoring engineers and leading technical initiatives * Excellent communication and ...

TalentForge360

Software Engineer

Phoenix, AZ · Remote

$110K - $135K/yr

Other Employee Perks Job Type: * Full-Time * Remote Compensation: * $110k - $135k DOE Required ... Software Design Engineering Communication $ 110,000.00 - 135,000.00 (US Dollar) Package Details:

Almost Fun

Our software engineers will : * Participate in a weekly team reading group focused on research on ... This is a remote position that pays hourly. Preferred skills for this role are: * A commitment to ...

Knexus

AI Software Engineer (Remote)

Vienna, VA · On-site +1

We're looking for an experienced AI Software Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote position for candidates in the continental U.S., with work ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... POSITION SPECIFICS We are searching for motivated, talented, and experienced Software Engineers to ...

Ultra

Software Engineer

Austin, TX · On-site +1

Austin, TX, Huntsville, AL, or Remote. Must be willing to travel up to 25% of the year to support ... Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or a related ...

New

Remote Craft

Remote Craft - Senior Software Developer

$55.75 - $73.75/hr

We are Remote Craft. A new, revolutionary, fast-moving Head Hunting agency sourcing the best ... software engineer Fluent English speaking ability and experience working with native English ...

Ultra

Software Engineer

Huntsville, AL · On-site +1

Austin, TX, Huntsville, AL, or Remote. Must be willing to travel up to 25% of the year to support ... Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or a related ...

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Remote Biotech Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

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

As of Jul 12, 2026, the average yearly pay for remote biotech software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 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, and why are they important?

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.

More about Remote Biotech Software Engineer jobs
What cities are hiring for Remote Biotech Software Engineer jobs? Cities with the most Remote Biotech Software Engineer job openings:
What are the most commonly searched types of Biotech Software Engineer jobs? The most popular types of Biotech Software Engineer jobs are:
What states have the most Remote Biotech Software Engineer jobs? States with the most job openings for Remote Biotech Software Engineer jobs include:
What job categories do people searching Remote Biotech Software Engineer jobs look for? The top searched job categories for Remote Biotech Software Engineer jobs are:
Remote Biotech Software Engineer jobs near you
Infographic showing various Remote Biotech Software Engineer job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 1% As Needed, 90% Full Time, 1% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
Software Engineer, Analytics

Software Engineer, Analytics

Bayesian Health

Remote

Full-time

Re-posted 6 days ago

Job description

Software Engineer, Analytics
In Brief
  • We're an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.
  • You will lead the development of our clinical AI/ML product analytics infrastructure, frameworks, and tools to enable our client success, product, clinical, and technology teams to uplevel our decision making through better insights.
Who We Are
Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.
We're funded by top tier tech and biotech investors: Obvious Ventures, Andreessen Horowitz, American Medical Association's venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year.
Read more about our recent publication in Nature Medicine that associates our products with lives saved.
What you'll do
As a Senior Software Engineer, Analytics, you will work closely with client success, product managers, clinicians, data scientists, and other software engineers to build infrastructure, frameworks, and tools to improve client analytics, facilitate clinical case reviews, and support product investigation. This role is crucial to provide internal visibility into product performance that will drive expansion of our clinical AI/ML module offerings and revenue growth.
Responsibilities
  • Product performance monitoring and optimization: Partner with client success and clinical product subject matter experts to implement the infrastructure, queries, and automation to monitor the KPIs and success metrics of our products across multiple clinical domains and clients.
  • Clinical case review and investigation: Build frameworks and tools to empower our clinical team to independently review and investigate clinical cases reported by our clients and identify cases with certain criteria that need further evaluation.
  • Data platform and analytics technical foundations: Propose and implement foundational improvements and innovations to boost our data platform scalability with expanding products and clients and uplevel our team analytics capabilities.
  • Drive product analytics development cross-functionally: Work closely with Client Success, Clinical, Product, Data Science, and Engineering to drive alignment on product analytics at the company level.
Minimum qualifications
  • BS in Computer Science or other relevant technical discipline.
  • 5+ years of experience in building scalable, secure analytics infrastructure and tools on a cloud platform (preferably AWS) to produce monitoring metrics and investigational data from complex data models and queries for live products and customers.
  • Proficient in Python and SQL.
  • Deep knowledge in modern data and analytics technologies, such as cloud-based data warehouses, transformation frameworks (e.g. dbt), workflow orchestration tools, and BI tools like Tableau or Quicksight, and keen ability to integrate with existing infrastructure to enhance capabilities.
  • Experience working with sensitive data that contains PHI/PII.
  • Excellent communication skills and a proven ability to collaborate with cross-functional teams (data science, product, clinical) to translate requirements into robust technical solutions
Preferred qualifications
  • Experience in leveraging LLMs in distributed data processing and analytics systems.
  • Experience building analytics technology for clinical/health data.
  • Experience handling ambiguity and uncertainty in a startup.

Bayesian Health provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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