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Biomedical Machine Learning Jobs in Illinois (NOW HIRING)

Bachelor's degree in Software, Electrical, Biomedical, or Computer Engineering (or a related ... Emerging Tech: Experience with Machine Learning systems, algorithm management, and real-time ...

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Biomedical Machine Learning information

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How much do biomedical machine learning jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for biomedical machine learning in Illinois is $27.64, according to ZipRecruiter salary data. Most workers in this role earn between $23.51 and $31.20 per hour, depending on experience, location, and employer.

How to become a biomedical machine learning specialist?

To become a biomedical machine learning specialist, individuals typically need a strong background in computer science, machine learning, and biology, often obtained through a bachelor's or master's degree in related fields. Gaining experience with programming languages like Python or R, and tools such as TensorFlow or PyTorch, is essential, along with understanding biomedical data and clinical applications. Advanced roles may require a Ph.D. or specialized certifications in machine learning or biomedical informatics.

What is a biomedical machine learning?

A Biomedical Machine Learning job involves developing and applying machine learning algorithms to analyze biomedical data for healthcare and research applications. Professionals in this field work with medical imaging, genomics, electronic health records, and wearable device data to improve disease diagnosis, treatment, and patient outcomes. They collaborate with researchers, clinicians, and data scientists to design predictive models and extract insights from complex biological data. This role requires expertise in machine learning, data processing, and domain-specific knowledge in healthcare or life sciences.

What does a biomedical machine learning do?

A typical day in Biomedical Machine Learning involves cleaning and preparing biomedical datasets, developing or refining machine learning models, running experiments, and interpreting results in collaboration with domain experts such as bioinformaticians and clinicians. Professionals often participate in team meetings to discuss project goals, share insights, and adjust research directions based on feedback. The role may also involve reading scientific literature to stay current with new methodologies and contributing to academic publications or technical documentation. Working closely with both technical and healthcare-focused colleagues, you'll help translate data-driven insights into meaningful biomedical solutions that impact patient care or research outcomes.

What are the key skills and qualifications needed to thrive in biomedical machine learning, and why are they important?

To thrive in Biomedical Machine Learning, you need a solid background in statistics, machine learning, programming (Python or R), and a strong understanding of biological or medical data, often supported by advanced degrees in computer science, biomedical engineering, or related fields. Experience with frameworks like TensorFlow, PyTorch, and familiarity with biomedical datasets is highly valued, and certifications in data science or biomedical informatics can be advantageous. Strong analytical thinking, communication skills, and the ability to collaborate with interdisciplinary teams are crucial soft skills. These competencies are vital to developing robust models that address complex healthcare challenges while ensuring scientific rigor and regulatory compliance.

What are the most commonly searched types of Biomedical Machine Learning jobs in Illinois? The most popular types of Biomedical Machine Learning jobs in Illinois are:
Infographic showing various Biomedical Machine Learning job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $57,495 per year, or $27.6 per hour.

Sr Scientist I, Automation Development

AbbVie

North Chicago, IL • On-site

$88K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


AbbVie rating

8.7

Company rating: 8.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

14th of 86 rated pharmaceutical


Job description

Company Description

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Molecular Profiling and Drug Delivery (MPDD) function within the Small Molecule CMC organization is accountable for a broad range of deliverables across various stages of drug discovery and development. During lead optimization and through candidate selection, MPDD scientists utilize state of the art automation and computational tools supported by expertise in biopharmaceutics, drug delivery, and solid-state chemistry to collaborativelyprogress candidates with higher probability of success intodevelopment and advise clinical formulation strategy. From candidate selection through clinical proof of concept and product launch, MPDD scientistswork in cross functional teams to identify the commercial solid form of the active pharmaceutical ingredient (API) and establish structure-property-performance correlations to help deliver robust commercial processes and align control strategies across drug substance and product. They also transition drug substance isolation processes and relevant physical characterization methods to commercial manufacturing sites and work within teams to ensure successful regulatory submissions. 

Drug Delivery scientists within AbbVie's MPDD organization work collaboratively with other functions within Development Sciences and Discovery to conduct developability assessment to select molecules with higher probability of success for clinical development and eventual commercialization.  This includes profiling of physicochemical properties, development of preclinical formulations, identifying solutions to in vivo absorption challenges, and advancement of novel drug delivery strategies across multiple routes of administration that are aligned with program target product profiles and downstream partners.  Modalities of interest include traditional small molecules as well as complex chemically synthesized modalities such as PROTACs and peptides.  In this role, you will work in cross-functional teams in matrixed environments and engage in multidisciplinary problem solving. 

Job Description 

AbbVie's MPDD organization is seeking a highly motivated, creative, and collaborative scientist with expertise in chemical automation, assay development, and integrated workflow design for a Senior Scientist I position. The primary role of this position is to develop and implement automated and data-enabled workflows that accelerate decision-making and improve throughput in early development sciences. This individual will contribute to the profiling of physiochemical properties, screening and development of preclinical formulations, and the advancement of platform workflows for emerging modalities of interest. This role will work closely with cross-functional partners across discovery and development sciences to build and optimize integrated capabilities that support faster, data-driven, more efficient pipeline progression. The successful candidate will have strong hands-on experience in assay development, automation, and the generation and interpretation of physicochemical data to inform developability. Experience with preclinical formulation strategies, workflow optimization, and enabling technologies for novel or complex modalities is highly desirable. 

Level and compensation will be commensurate with experience. 

Qualifications
  • Senior Scientist I typically requires Bachelors, Masters, or Ph.D. with 10+ (B.S.), 8+ (M.S.), and 0-3 (Ph.D.) years of experience in pharmaceutical or related industry.  Preferred educational backgrounds include but are not restricted to Pharmaceutical Sciences, Pharmaceutical Engineering, Chemical/ Biomedical Engineering, Chemistry and Materials Science. 

  • Familiarity and preferred hands-on experience in physicochemical property assessment related to understanding CMC developability profile and potential risk mitigation strategies. Experimental and automation techniques of interest include but are not limited to: plate-based optical spectroscopy, liquid handler operation, custom scientific programming and scripting, machine learning and model-building concepts, high-performance liquid chromatography (HPLC), mass spectrometry, powder X-ray diffraction (pXRD), optical microscopy, light scattering techniques, thermal analysis, and other biophysical characterization techniques. Experience with automated data capture, laboratory instrumentation integration, assay miniaturization, and data analysis workflows is desirable. 

  • Hands-on experience in assay development, automation, and workflow optimization, with an ability to design and implement efficient, reproducible, and scalable laboratory processes. 

  • Strong understanding of physiochemical property profiling and its application to early developability assessment, including methods relevant to solubility, stability, and other compound attributes that inform pipeline decisions. 

  • Familiarity with preclinical formulation development and screening strategies, including support for enabling formulations for emerging or complex modalities. 

  • Familiarity with analytical, biophysical, and in vitro techniques used to generate high-quality data for early development decision making. 

  • Demonstrated ability to generate, structure, and capture data in a consistent and traceable manner to support predictive modeling and AI/ML applications. 

  • Experience collaborating with data scientists, computational chemists, or informatics partners. 

  • Excellent organizational skills, self-management, and attention to detail, with the ability to manage multiple priorities in a fast-paced environment. 

Key Competencies 

  • Builds strong relationships with peers and cross-functional partners to enable higher performance. 

  • Learns fast, grasps the "essence", and can change course quickly where indicated. 

  • Connects ideas from disparate fields, integrates data and information quickly, and takes risks to achieve the highest performance. 

  • Raises the bar and is never satisfied with the status quo. Demonstrates scientific curiosity and problem-solving ability. 

  • Creates a learning environment, open to suggestions and experimentation for improvement. 

  • Embraces the ideas of others, nurtures innovation and manages innovation to reality. 

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: 

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. 

  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

  • This job is eligible to  participate in our short-term incentive programs.  Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company's sole and absolute discretion unless and until paid and may be  modified at the Company's sole and absolute discretion,  consistent with applicable law. 

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html


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About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013