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Bioinformatics Engineering Jobs in Missouri (NOW HIRING)

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

Antibody engineering, ADC development, protein conjugation, or chemical biology; spatial transcriptomics, single-cell genomics, bioinformatics, or computational biology; molecular imaging ...

$48K - $86K/yr

Collects, processes, and analyzes experimental data using microbiome, metabolomics, molecular biology, and statistical or bioinformatics approaches. * Prepares manuscripts for peer-reviewed ...

$44K - $50K/yr

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

$44K - $50K/yr

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

$77K - $116K/yr

The Department of Surgery seeks a Bioinformatics Analyst II to provide biostatistical and ... Experience with statistical programming and data visualization using R/Bioconductor and UNIX/Linux ...

Senior Software Engineer in Test

California, MO · On-site

$98K - $128K/yr

Bachelor's degree or higher in Computer Science, Engineering, Bioinformatics, or a related field (or equivalent experience) * 5+ years of professional experience developing production-ready software ...

Showing results 41-60

Bioinformatics Engineering information

What is a bioinformatics engineer?

A bioinformatics engineer is a professional who develops and applies computational tools and techniques to analyze and interpret biological data, such as DNA sequences or protein structures. They combine expertise in computer science, biology, and mathematics to create software, manage databases, and solve complex biological problems. Bioinformatics engineers often work in research, pharmaceuticals, healthcare, and biotechnology industries to help advance scientific discoveries and medical innovations.

What are the key skills and qualifications needed to thrive as a bioinformatics engineer?

To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency with databases and cloud computing platforms are typically required. Strong problem-solving, analytical thinking, and collaboration skills set standout professionals apart in this interdisciplinary field. These competencies are crucial for effectively analyzing complex biological data and driving innovation in life sciences research.

How do bioinformatics engineers typically collaborate with biologists and data scientists in a research setting?

Bioinformatics engineers frequently work in cross-disciplinary teams, partnering closely with biologists to understand experimental goals and with data scientists to analyze complex datasets. Effective communication is key, as engineers must translate biological questions into computational workflows and interpret results in a way that is meaningful to non-technical team members. This collaborative approach not only accelerates research but also helps engineers gain a deeper understanding of biological processes, which can lead to more innovative solutions and professional growth.

What is the difference between Bioinformatics Engineering vs Bioinformatics Analyst?

AspectBioinformatics EngineeringBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for data analysisInterprets data, generates reports, supports research projects

Bioinformatics Engineering focuses on developing software and pipelines for data processing, requiring programming expertise. In contrast, Bioinformatics Analysts primarily interpret data and generate insights, often with a stronger emphasis on biological knowledge. Both roles are vital in biotech and healthcare industries, but they differ in technical scope and daily tasks.

What do bioinformatics engineers do?

Bioinformatics engineers develop and implement computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research and medical applications.

What job categories do people searching Bioinformatics Engineering jobs in Missouri look for?

The top searched job categories for Bioinformatics Engineering jobs in Missouri are:

What cities in Missouri are hiring for Bioinformatics Engineering jobs?

Cities in Missouri with the most Bioinformatics Engineering job openings:

Infographic showing various Bioinformatics Engineering job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Postdoctoral Research Associate (Proteomics and Multiomics in Neurodegeneration) - Psychiatry

Washington University of St. Louis
Colleges, Universities, and Professional Schools • 10K+ employees

Full-time

Re-posted 8 days ago


Washington University In St. Louis rating

7.9

Company rating: 7.9 out of 10

Based on 127 frontline employees who took The Breakroom Quiz


Job description

LocationST. LOUIS, MO 63108 Position SummaryThe Cruchaga lab at WashU Medicine has a fully funded Postdoctoral position to study Alzheimer's disease and other neurodegenerative disease proteomics signatures.
The Cruchaga lab generates and analyzes high-throughput multi-omic data to study neurodegeneration and diseases of the central nervous system with emphasis on Alzheimer's disease, Parkinson's disease, and other dementias. The ultimate goal of the lab is to understand the biology of these diseases, to define novel biomarkers, and to identify novel therapeutical targets.
We have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models for Alzheimer's, Parkinson, and Dystonia as well as to identify novel proteins and pathways implicated on disease pathogenesis.
We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics, proteomics and metabolomics), from a large collection of well-characterized samples to identify novel biomarkers and causal and druggable targets.
We are seeking motivated postdocs with strong analytical skills to join our effort and generate novel insights of neurodegeneration with this unique dataset, while working in a highly dynamic multidisciplinary and collaborative environment. The new postdoctoral fellow will join a large team, currently twenty members, which is led by three faculty members and three senior scientists.Job Description

Primary Duties & Responsibilities:

Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/.

Lab website: https://cruchagalab.wustl.edu/.

Research Projects:

  • Plasma, CSF and Brain Proteomic analysis.
  • Biomarker identification through the use of machine learning and AI approaches.
  • Integration of proteomics with genetic data via MR, coloc and FUSION to identify causal and druggable targets.

Working Conditions:

This position will be located at Dr. Cruchaga's lab in the NeuroGenomics and Informatics Center (Department of Psychiatry) at Washington University. Work takes place in a laboratory environment with potential exposure to biological and chemical hazards.The individual must be physically able to wear protective equipment and to provide standard care to research animals.

Salary Range:

Base pay is commensurate with experience.

Applicant Special Instructions:

In addition to this application, interested candidates should send a cover letter and a copy of their CV to Administrative Coordinator Pooja Arshanapally at apooja@wustl.edu.

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.Required Qualifications

Education:

Ph.D., M.D. Or Equivalent Terminal Or Doctoral Degree.


Certifications/Professional Licenses:

No specific certification/professional license is required for this position.


Work Experience:

No specific work experience is required for this position.


Skills:

Not Applicable


Driver's License:

A driver's license is not required for this position.More About This Job

Required Qualifications:

  • The successful applicant will hold, or shortly expect to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of 'omics' datasets.
  • Hands-on experience with large-scale human omics (preferably related to neurodegeneration) studies is expected.
  • Solid skills in at least one programming language (R, Python or Perl) and experience working in Linux and/or high-performance cluster environments.
  • A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition, familiarity to interrogate publicly available resources.
Preferred Qualifications

Education:

No additional education unless stated elsewhere in the job posting.


Certifications/Professional Licenses:

No additional certification/professional licenses unless stated elsewhere in the job posting.


Work Experience:

Bioinformatics Or Related Discipline (1 Year)


Skills:

Alzheimer's Disease, Analytical Reasoning, Bioinformatics, Biomarkers, Computer Science, Data Analysis, Genetic Research, Human Genetics, Linux, Neurodegeneration, Parkinson's Disease, Proteomics, Python (Programming Language), Statistical Genomics, Teamwork, Work CollaborativelyQuestions

For frequently asked questions about the application process, please refer to our External Applicant FAQ.

Accommodation

If you are unable to use our online application system and would like an accommodation, please emailCandidateQuestions@wustl.eduor call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.

All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.Pre-Employment ScreeningAll external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.Benefits StatementWashington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.EEO StatementWashington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University's policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.

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About Washington University in St. Louis

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Washington University in St. Louis, often simply known as WashU, is a prestigious private research university in the United States. Headquartered in Saint Louis, Missouri, the university operates within the Education industry offering an array of undergraduate and postgraduate programs encompassing various areas like arts, sciences, business, design, medicine, and engineering. Established in 1853, the university has a storied past rooted in determination, resilience, and commitment to knowledge and innovation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Saint Louis, MO, US

Year founded

1853