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Biological Data Science Jobs in Missouri (NOW HIRING)

University of Rochester

$77K - $116K/yr

Work closely with research teams to translate biological questions into computational solutions ... Master's or Advanced Degree (PhD in Biostatistics, Statistics, Data Science, or a related ...

Varsity Tutors

High School Science Tutor

Kansas City, MO · Remote

$18 - $40/hr

... biology, genetics, chemical reactions, forces and motion, energy, and earth systems. Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing ...

Varsity Tutors

High School Science Tutor

Columbia, MO · Remote

$18 - $40/hr

... biology, genetics, chemical reactions, forces and motion, energy, and earth systems. Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing ...

Varsity Tutors

High School Science Tutor

Saint Louis, MO · Remote

$18 - $40/hr

... biology, genetics, chemical reactions, forces and motion, energy, and earth systems. Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing ...

Bruker

Scientist, Bioinformatics

Saint Louis, MO · On-site

... in life science molecular research, in applied and pharma applications, in microscopy and ... data. Analyze and interpret large, complex biological datasets - including spatial proteomics and ...

UNAVAILABLE

Scientist, Bioinformatics

Saint Louis, MO · On-site

... in life science molecular research, in applied and pharma applications, in microscopy and ... data. Analyze and interpret large, complex biological datasets - including spatial proteomics and ...

Stantec

Wildlife Biologist

Kansas City, MO · On-site

... impact statements, biological assessments for threatened and endangered species, habitat ... using scientific equipment such as hand-held GPS units, data entry devices (tablets, iPads, etc ...

Aclaris Therapeutics, Inc.

Scientist

Saint Louis, MO · On-site

The Scientist, Biology focuses on the design, development, and execution of cellular, immunological ... Bioinformatics data analysis and interpretation (e.g., gene expression, proteomics, pathway ...

Varsity Tutors

IB Biology Tutor

Saint Louis, MO · Remote

$18 - $40/hr

Skilled at teaching experimental design, data analysis, and biological systems analysis for IB ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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All JobsBiological Data Science JobsBiological Data Science Jobs in Missouri

Biological Data Science information

See Missouri salary details

$30.5K

$44.4K

$65.7K

How much do biological data science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for biological data science in Missouri is $44,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,200.00 and $48,800.00 per year, depending on experience, location, and employer.

Is biological data science well paying?

Biological data science is generally well paying, with salaries often higher than average for data-related roles due to specialized skills in bioinformatics, programming, and statistical analysis. Salaries vary based on experience, education, and location, but professionals in this field can expect competitive compensation, especially with expertise in tools like R, Python, and machine learning. Advanced roles or those in biotech and pharmaceutical industries tend to offer higher salaries.

How much do biological data scientists make?

Biological data scientists typically earn a median salary of around $85,000 to $110,000 per year, depending on experience, education, and location. Advanced skills in bioinformatics tools, programming languages like Python or R, and knowledge of biological sciences can lead to higher compensation, especially in research or industry settings.

What are the key skills and qualifications needed to thrive as a biological data scientist?

To thrive as a Biological Data Scientist, you need a strong background in biology, statistics, and data analysis, often supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of databases such as GenBank are typically required. Strong problem-solving, collaboration, and communication skills help you interpret complex data and effectively share findings with interdisciplinary teams. These skills are crucial for deriving meaningful biological insights from large datasets and driving innovation in research or healthcare.

What is biological data science?

Biological Data Science is an interdisciplinary field that combines biology, computer science, statistics, and mathematics to analyze and interpret complex biological data. Professionals in this field work with large datasets generated from genomics, proteomics, and other biological experiments to uncover meaningful patterns and insights. They use computational tools and algorithms to advance research in areas such as medicine, agriculture, and environmental science. The goal is to translate raw biological data into actionable knowledge that can drive scientific discovery and innovation.

What are some common challenges faced by professionals in biological data science, and how can they be addressed?

Professionals in Biological Data Science often encounter challenges such as managing large and complex datasets, integrating diverse data types (e.g., genomics, proteomics, clinical data), and staying current with rapidly evolving analytical tools. Addressing these challenges typically involves strong collaboration with interdisciplinary teams, continuous learning of new computational methods, and implementing robust data management practices. Building effective communication skills is also important, as conveying complex findings to non-specialist stakeholders is a frequent part of the role.

What is the difference between Biological Data Science vs Bioinformatics?

AspectBiological Data ScienceBioinformatics
Required CredentialsDegree in Data Science, Biology, or related fields; programming skillsDegree in Bioinformatics, Biology, or related fields; computational skills
Work EnvironmentResearch labs, biotech companies, healthcareResearch labs, healthcare, academic institutions
Employer & Industry UsageTech companies, pharmaceuticals, research institutionsAcademic, healthcare, biotech firms
Common Search & ComparisonYesYes

Biological Data Science focuses on analyzing biological data using advanced data analytics, machine learning, and statistical methods. Bioinformatics emphasizes developing algorithms and software for understanding biological data, often with a stronger focus on computational biology. While both roles require programming skills and biological knowledge, Biological Data Science is more data analytics-oriented, whereas Bioinformatics centers on computational tool development.

Biological Data Science jobs near you
Infographic showing various Biological Data Science job openings in Missouri as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $44,392 per year, or $21.3 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Kansas City, MO • Remote

$90 - $120/hr

Part-time

Posted 18 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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