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Bioinformatics Machine Learning Internship Jobs in Missouri

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

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Bioinformatics Machine Learning Internship information

What is a bioinformatics machine learning internship?

A Bioinformatics Machine Learning Internship is a temporary position, usually for students or recent graduates, where interns gain hands-on experience applying machine learning techniques to biological data. Interns may work on projects like analyzing genomic sequences, predicting protein structure, or developing algorithms for biomedical research. The role involves coding, data analysis, and collaborating with scientists to solve real-world biological problems. It offers exposure to both computational methods and biological sciences, preparing interns for careers in bioinformatics, data science, or research.

What are the key skills and qualifications needed to thrive as a bioinformatics machine learning intern, and why are they important?

To thrive as a Bioinformatics Machine Learning Intern, you need a solid background in biology, statistics, and computer science, typically supported by relevant coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of machine learning frameworks such as TensorFlow or scikit-learn are highly valued. Attention to detail, problem-solving skills, and effective communication help interns collaborate on interdisciplinary teams and interpret complex datasets. These skills ensure interns can contribute meaningfully to research projects, derive insights from biological data, and communicate findings clearly.

What are some typical projects or tasks a bioinformatics machine learning intern might work on during their internship?

As a Bioinformatics Machine Learning Intern, you'll often contribute to projects that involve developing and testing algorithms for analyzing biological data, such as genomic sequences or protein structures. Typical tasks may include preprocessing large datasets, implementing machine learning models to identify patterns or make predictions, and visualizing results for team discussions. Interns frequently collaborate with both computational scientists and experimental biologists, gaining exposure to interdisciplinary teamwork and real-world applications. This hands-on experience helps interns build both technical and domain-specific skills, preparing them for advanced roles in bioinformatics or data science.

What is the difference between Bioinformatics Machine Learning Internship vs Bioinformatics Data Analyst Internship?

AspectBioinformatics Machine Learning InternshipBioinformatics Data Analyst Internship
Required SkillsProgramming, machine learning, bioinformatics toolsData analysis, statistical skills, bioinformatics tools
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch labs, healthcare, biotech firms
Industry UsageDeveloping algorithms, predictive models in bioinformaticsAnalyzing biological data, generating reports

While both internships involve bioinformatics, the Bioinformatics Machine Learning Internship focuses on developing machine learning models and algorithms, whereas the Bioinformatics Data Analyst Internship emphasizes analyzing biological data and generating insights. Both roles require programming and bioinformatics skills but differ in their core focus and application.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Missouri? The most popular types of Bioinformatics Machine Learning jobs in Missouri are:
What are popular job titles related to Bioinformatics Machine Learning Internship jobs in Missouri? For Bioinformatics Machine Learning Internship jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Machine Learning Internship jobs in Missouri look for? The top searched job categories for Bioinformatics Machine Learning Internship jobs in Missouri are:
What cities in Missouri are hiring for Bioinformatics Machine Learning Internship jobs? Cities in Missouri with the most Bioinformatics Machine Learning Internship job openings:
Infographic showing various Bioinformatics Machine Learning Internship job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Scientist, Bioinformatics

UNAVAILABLE

Saint Louis, MO

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 14 days ago


Job description

Overview

Bruker is enabling scientists to make breakthrough discoveries and develop new applications that improve the quality of human life. Bruker's high-performance scientific instruments and high-value analytical and diagnostic solutions enable scientists to explore life and materials at molecular, cellular, and microscopic levels. In close cooperation with our customers, Bruker is enabling innovation, improved productivity and customer success in life science molecular research, in applied and pharma applications, in microscopy and nanoanalysis, and in industrial applications, as well as in cell biology, preclinical imaging, clinical phenomics and proteomics research and clinical microbiology.

Today, worldwide more than 11000 employees are working on this permanent challenge at over 90 locations on all continents. Bruker continues to build upon its extensive range of products and solutions, its broad base of installed systems and a strong reputation among its customers. Being one of the world's leading analytical instrumentation companies, Bruker is strongly committed to further fully meeting its customers' needs as well as continuing to develop state-of-the-art technologies and innovative solutions for today's analytical questions.

Bruker Spatial Biology is a rapidly growing and fast-paced biotechnology company with an R&D group in St. Louis, Missouri. We are committed to providing cutting-edge Spatial Biology products and services to the academic, biotech and biopharma sectors. Our team of dedicated scientists is passionate about Spatial Biology and recognizes its potential to transform our understanding and eventual diagnosis of disease. We offer competitive salaries, comprehensive benefits, and a collaborative and stimulating research environment.

Bruker Spatial Biology is looking for an entry-level Bioinformatician to join our R&D department. The successful candidate will work with their Bioinformatic team leader to establish Bioinformatic data analysis solutions for our CellScapeTM platform. The Bioinformatician will furthermore play a role in performing CellScape data analyses for key customer collaborations and/or contract research projects. The ideal candidate will have a solid background in bioinformatics, image analysis and will already understand Spatial Biology. Experience in microscopy and/or histology is desirable but not a precondition.

In your role as a Bioinformatician, you will be given responsibility and ownership of your analysis projects. You will work on assignments that are complex in nature and require considerable judgment and initiative to solve problems. You will have room to maneuver and to execute your responsibilities creatively and effectively. Throughout your tenure you will be tasked with diverse projects, and you will need to be agile and flexible as you maneuver the complexities of each new problem. You will be expected to work reliably and to take on responsibility for the timely delivery of results. At any time, you should be ready to pivot as directives and roadmaps are aligned with a dynamic customer base.

This role reports to our Senior Bioinformatician and does not include management of direct reports. This role does not have wetlab responsibilities.

Responsibilities

Responsibilities may include, but are not limited to:

Design, build, and maintain bioinformatics tools, libraries, and databases analyzing Spatial Proteomics / mIF data. Analyze and interpret large, complex biological datasets - including spatial proteomics and single-cell data - to support discovery of new drugs, therapies, and biologically meaningful patterns. Evaluate, test, and improve existing internal software solutions, and partner with software teams during active development cycles. Work cross-functionally with wetlab and software teams to critically evaluate data from multiplex biomarker assays and translate scientific needs into analysis solutions. Communicate findings to scientists, researchers, and stakeholders through clear written reports and presentations. Challenge the status quo by engaging in constructive critique of established practices and proposing better alternatives. Deliver projects and milestones on time, keeping leadership informed through routine progress updates. May participate in travel to conferences and tradeshows.

Qualifications

Requires a PhD with extensive bioinformatic analysis background Strong fluency in Python (required); working knowledge of R, MATLAB, or comparable scientific computing environments is a plus. Industry experience is not required Demonstrated ability to design and write clean, reusable functions, modules, and analysis pipelines - not just notebook-style scripting. Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and deployment), particularly applied to imaging or single-cell data. Ability to communicate, educate and engage wet lab scientists Excellent collaboration and interpersonal skills

At Bruker, base salary is part of our total compensation. The estimated base salary range for this full-time position is between $86,500 and $153,500 provides an opportunity to progress as you grow and develop within a role. The base salary for the role will depend on several job-related factors, including, but not limited to education, training, experience, the geographic location of the successful candidate, skills, competencies, job-related knowledge and travel requirements for this position. Full-time employees may also be eligible for a performance-related incentive in addition to a full range of benefits including 401(k) with company match, an employee stock purchase plan, medical and dental plans, life insurance, short-term and long-term disability insurance, employee assistance program and paid time off including vacation, sick time and holidays, and more.

Bruker is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and

other legally protected characteristics.

Certain positions at Bruker require compliance with export control laws and as a result, all interviewed candidates for all positions will be screened pre-interview to determine their eligibility in light of export control restrictions.

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Employment Type: OTHER