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From Home Bioinformatics Software Engineer Jobs in Springfield, MO

Cochran

Licensed Civil Engineer

Ozark, MO

Support and lead engineering projects from planning and design through construction * Prepare ... Hydraulic modeling software (e.g., WaterCAD, SewerCAD) Benefits: * Competitive salary and ...

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All JobsBioinformatics Software Engineer JobsFrom Home Bioinformatics Software Engineer JobsFrom Home Bioinformatics Software Engineer Jobs in Springfield, MO

From Home Bioinformatics Software Engineer information

See Springfield, MO salary details

$39.1K

$119.2K

$216.9K

How much do from home bioinformatics software engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for from home bioinformatics software engineer in Springfield, MO is $119,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $142,800.00 per year, depending on experience, location, and employer.

What is the difference between From Home Bioinformatics Software Engineer vs From Home Data Scientist?

AspectFrom Home Bioinformatics Software EngineerFrom Home Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skills in Python, R, JavaBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in Python, R, SQL
Work EnvironmentRemote, often collaborating with research labs, biotech firms, or healthcare companiesRemote, working with tech companies, finance, or healthcare organizations
Industry UsagePrimarily in biotech, healthcare, and research institutionsAcross tech, finance, healthcare, and consulting sectors

Both roles often require strong programming skills and a background in data analysis. The main difference lies in their focus: Bioinformatics Software Engineers specialize in biological data and research applications, while Data Scientists work across various industries analyzing diverse data sets. Both roles are increasingly remote and collaborative, making them suitable for from-home work environments.

What are the most commonly searched types of Bioinformatics Software Engineer jobs in Springfield, MO? The most popular types of Bioinformatics Software Engineer jobs in Springfield, MO are:
What are popular job titles related to From Home Bioinformatics Software Engineer jobs in Springfield, MO? For From Home Bioinformatics Software Engineer jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching From Home Bioinformatics Software Engineer jobs in Springfield, MO look for? The top searched job categories for From Home Bioinformatics Software Engineer jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for From Home Bioinformatics Software Engineer jobs? Cities near Springfield, MO with the most From Home Bioinformatics Software Engineer job openings:
From Home Bioinformatics Software Engineer jobs near you
Infographic showing various From Home Bioinformatics Software Engineer job openings in Springfield, MO as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $119,209 per year, or $57.3 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Springfield, MO • Remote

$90 - $120/hr

Part-time

Posted 11 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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