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Machine Learning Biomedical Engineer Jobs in Iowa

Auzmor

Robotics & AI Research Engineer

Des Moines, IA · On-site

Robotics & AI Research Engineer Description Auzmor is redefining workforce training by seamlessly ... You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and ...

RFA Engineering

Embedded Software Engineer

Urbandale, IA · On-site

$70K - $120K/yr

We are seeking passionate, talented engineers to work on exciting projects using the latest tools and technologies including robotics, computer-vision, machine learning, IoT, cloud computing, and ...

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Machine Learning Biomedical Engineer information

What is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?

AspectMachine Learning Biomedical EngineerData Scientist in Biomedical Industry
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical dataDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHealthcare analytics firms, research institutions, biotech companies
Employer & Industry UsageDevelops algorithms for medical devices, diagnostics, and treatment planningAnalyzes biomedical data to inform clinical decisions, research, and product development

Both roles require expertise in machine learning and biomedical data, but Machine Learning Biomedical Engineers focus on developing algorithms for medical applications, while Data Scientists analyze biomedical data to support research and clinical decisions.

What does a Machine Learning Biomedical Engineer do?

A Machine Learning Biomedical Engineer applies machine learning techniques to solve problems in biology and medicine. They develop algorithms and models to analyze complex biomedical data, such as medical images, genetic information, or sensor readings. Their work supports advancements in diagnostics, treatment planning, and personalized medicine. Typically, they collaborate with clinicians, researchers, and other engineers to design systems that improve healthcare outcomes.

What are the key skills and qualifications needed to thrive as a Machine Learning Biomedical Engineer, and why are they important?

To thrive as a Machine Learning Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and machine learning, typically supported by a degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with medical imaging or signal processing tools are commonly required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are vital soft skills. These abilities are crucial for developing innovative healthcare solutions, ensuring regulatory compliance, and bridging the gap between technology and medicine.

How does a Machine Learning Biomedical Engineer typically collaborate with clinicians and researchers in a healthcare setting?

Machine Learning Biomedical Engineers often work closely with clinicians and researchers to develop algorithms that solve real-world medical challenges. Collaboration usually involves understanding clinical needs, translating them into technical requirements, and iteratively refining models based on feedback from medical experts. Regular meetings, interdisciplinary project teams, and direct participation in data collection or validation studies are common. This collaborative environment ensures that technical solutions are both innovative and clinically relevant, making communication and adaptability essential skills.
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What job categories do people searching Machine Learning Biomedical Engineer jobs in Iowa look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Iowa are:
What cities in Iowa are hiring for Machine Learning Biomedical Engineer jobs? Cities in Iowa with the most Machine Learning Biomedical Engineer job openings:
Machine Learning Biomedical Engineer jobs near you
50% Research Associate - Infectious Diseases

50% Research Associate - Infectious Diseases

The University Of Iowa

Iowa City, IA • On-site

Other

Posted 12 days ago

University Of Iowa rating

6.8

Company rating: 6.8 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

412th of 541 rated colleges and universities

Job description

BASIC FUNCTION

The Research Assistant - Computational Scientist supports research efforts in Dr. Priya Issuree' laboratory, which studies epigenetic mechanisms of gene regulation in immune cells. This position will provide computational support by analyzing experiments across laboratory projects and will require analysis, organization and interpretation of both newly generated and existing genomic datasets and using computational tools to perform integrated and multimodal data analyses, under the PI's supervision. This role involves the development, implementation, and maintenance of computational pipelines; application of statistical tests and rigor to generation of integrative models of gene function in immune cells. The RA will work closely with scientists, trainees, and collaborators and will contribute to study design, data interpretation, visualization, and dissemination. The position may also support data infrastructure efforts, including computational tools that enhance data sharing, reproducibility, and discovery.

KEY AREAS OF RESPONSIBILITY

Computational and Bioinformatic Analysis:

  • Perform bioinformatic analyses (scRNA-Seq, ATAC-Seq, Cut and Tag, DNA methylation) based upon protocols developed by the principal investigator of the research project.

  • Perform combinatorial/multimodal bioinformatic analyses and appropriate statistical analyses, and generate graphical outputs to visualize findings.

  • Use multimodal datasets to develop new hypotheses and generate avenues for biological validation and testing by other team and lab members, with assistance from the PI

  • Generate figures, summaries, and visualizations for manuscripts, presentations, grant applications, and internal reports.

Data management, analysis and compliance:

  • Proper documentation of bioinformatic codes used for different projects and establish a systematic approach to easily locate, analyze, and store data.

  • Develop and rigorously test new pipelines as necessary and ensure methods used are scientifically sound

  • Assist in preparing documentation of computational methods for publications and regulatory or funding requirements, as directed by the Principal Investigator

  • Develop independence in troubleshooting, analysis, and propose modifications to protocols; present results at team meetings and meet with collaborators as needed.

  • Adhere to safety and compliance guidelines in the laboratory.

  • Adhere to Quality Assurance protocols to maintain the validity and integrity of research data.

Administrative and Project Management:

  • Assist with manuscript and grant preparations, under PI's supervision

  • Track various indicators of project progress and summarize in reports to the research team. Prepare data/ project updates and results for discussion at weekly meeting with PI.

Facilities and Equipment Management:

  • Assist in the maintenance of cloud servers and external servers used for data storage at the university

  • Ensuring proper functioning of all hardware and software needed for data analysis and storage

REQUIRED QUALIFICATIONS

  • Bachelor's degree in computational biology, Bioinformatics, Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a closely related quantitative or lifescience field, or equivalent combination of education and progressively responsible experience in a research laboratory environment is required

  • Experience performing computational analysis of highthroughput biological data, such as singlecell RNA sequencing (scRNAseq) and ATAC Seq

  • Proficiency in at least one programming language commonly used in computational biology (e.g., R and/or Python).

  • Working knowledge of standard bioinformatic workflows, including data quality control, normalization, statistical analysis, and data visualization.

  • Ability to follow established computational pipelines and analytical protocols under general supervision.

  • Strong attention to detail and ability to document computational methods, code, and results.

  • Effective written and verbal communication skills, including the ability to explain computational results to collaborators with varied scientific backgrounds.

  • Ability to work collaboratively as part of a multidisciplinary research team and manage multiple projects simultaneously.

DESIRED QUALIFICATIONS:

  • Prior experience with integration of multimodal datasets (e.g., transcriptomic + epigenomic, data).

  • Basic experience applying machine learning or predictive modeling approaches to biological data.

  • Experience developing or contributing to reproducible workflows using version control systems (e.g., Git).

  • Experience generating publicationquality figures and contributing to manuscripts, abstracts, or grant applications.

  • Master's degree in computational biology, Bioinformatics, Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a closely related quantitative or lifescience field.

Position and Application Details:

In order to be considered for an interview, applicants must upload the following documents and mark them as a "Relevant File" to the submission:

  • Resume
  • Cover Letter

Job openings are posted for a minimum of 7 calendar days and may be removed from posting and filled any time after the original posting period has ended.

Successful candidates will be required to self-disclose any conviction history and will be subject to a criminal background check and credential/education verification. Up to 5 professional references will be requested at a later step in the recruitment process.

For additional questions, please contact ashley-rayer@uiowa.edu.

Additional Information
  • Classification Title: Research Associate
  • Appointment Type: Professional and Scientific
  • Schedule: Part-time
Compensation
  • Pay Level: 4A
Contact Information
  • Organization: Healthcare
  • Contact Name: Ashley Nelson
  • Contact Email: ashley-rayer@uiowa.edu

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