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Bioinformatic Engineer Jobs in Missouri (NOW HIRING)

Washington University of St. Louis

$41K - $75K/yr

Skills: Analytical Thinking, Bioinformatics Tools, Communication, Complex Data Analysis ... Programming Grade R09 Salary Range $41,700.00 - $75,600.00 / Annually The salary range reflects ...

Washington University of St. Louis

$55K - $100K/yr

Evaluates commercial and academic bioinformatics software. * Trains other researchers on the ... Python (Programming Language), Statistics Grade R11 Salary Range $55,200.00 - $100,000.00 ...

Washington University of St. Louis

... Bioinformatics, Biomarkers, Computer Science, Data Analysis, Genetic Research, Human Genetics, Linux, Neurodegeneration, Parkinson's Disease, Proteomics, Python (Programming Language), Statistical ...

University of Pennsylvania

$44K - $50K/yr

Expertise with programming and statistical analysis are also desirable. Job Responsibilities * DNA purification, quantification and amplification * Lab maintenance * Bioinformatic analysis * DNA ...

University of Pennsylvania

$44K - $50K/yr

Expertise with programming and statistical analysis are also desirable. Job Responsibilities * DNA purification, quantification and amplification * Lab maintenance * Bioinformatic analysis * DNA ...

Washington University of St. Louis

By combining genome engineering, functional genomics, and tissue models, we aim to advance ... bioinformatics to explore the intersection of cardiovascular physiology, cancer biology, and ...

Washington University of St. Louis

... engineered mouse models, (iii) molecular analysis of epigenetic crosstalk, and (iv) the effects of ... bioinformatics, molecular biology, tumor biology and hematopoiesis. Candidates are expected to ...

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Showing results 21-40

All JobsBioinformatic Engineer JobsBioinformatic Engineer Jobs in Missouri

Bioinformatic Engineer information

See Missouri salary details

$31K

$83.7K

$133.2K

How much do bioinformatic engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for bioinformatic engineer in Missouri is $83,654.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $102,200.00 per year, depending on experience, location, and employer.

What is the difference between Bioinformatic Engineer vs Bioinformatics Analyst?

AspectBioinformatic EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Bioinformatics, Biology, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisAnalyzes biological data, interprets results, and reports findings

While both roles involve biological data, Bioinformatic Engineers focus on developing computational tools and pipelines, whereas Bioinformatics Analysts primarily interpret data and generate insights. Both positions require similar educational backgrounds and are vital in research and healthcare settings, but their core responsibilities differ in development versus analysis.

What are common challenges faced by bioinformatic engineers when working with large-scale genomic data?

Bioinformatic Engineers often encounter challenges related to managing and processing vast amounts of genomic data, which can require significant computational resources and efficient data handling strategies. Ensuring data integrity, reproducibility of analyses, and effective collaboration with multidisciplinary teams of biologists, statisticians, and software developers are also key aspects of the role. Staying updated with the latest bioinformatics tools and pipelines is essential, as the field evolves rapidly. Overcoming these challenges requires strong problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders.

What skills and qualifications are needed to thrive as a bioinformatic engineer?

To thrive as a Bioinformatic Engineer, you need a strong background in computational biology, programming (such as Python or R), statistics, and a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (like BLAST, GATK, or Bioconductor), data analysis platforms, and experience with databases such as SQL are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills are essential for accurately analyzing biological data, deriving meaningful insights, and facilitating research or clinical advancements.

What is a bioinformatic engineer?

Bioinformatic Engineers are professionals who develop and apply computational tools and techniques to analyze biological data, such as DNA sequences, protein structures, and genetic information. They combine expertise in computer science, biology, and mathematics to process large datasets generated by modern biological experiments. Their work supports research in areas like genomics, drug discovery, and personalized medicine by helping scientists make sense of complex biological data.
What are popular job titles related to Bioinformatic Engineer jobs in Missouri? For Bioinformatic Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Bioinformatic Engineer jobs in Missouri look for? The top searched job categories for Bioinformatic Engineer jobs in Missouri are:
What cities in Missouri are hiring for Bioinformatic Engineer jobs? Cities in Missouri with the most Bioinformatic Engineer job openings:
Bioinformatic Engineer jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

Independence, MO • Remote

$90 - $120/hr

Part-time

Posted 9 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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