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Freelance Bioinformatics Machine Learning Jobs in Illinois

Tempus

Bioinformatics Scientist

Chicago, IL · On-site +1

$115K - $175K/yr

We are seeking a highly motivated and capable Bioinformatics Scientist to join our Liquid Biopsy ... Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation ...

New

Meharry Medical College

Postdoctoral Fellow

Campus, IL

$47K - $64K/yr

Experience in bioinformatics, genomics, machine learning, artificial intelligence, or biomedical data science is preferred. Equal Employment Opportunity Statement Meharry Medical College complies ...

Biohub

Computational Biologist

Chicago, IL

$130K - $163K/yr

Integrate proteomics, metabolomics, and related datasets, and explore machine learning or transfer ... PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering ...

Biohub

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

Integrate proteomics, metabolomics, and related datasets, and explore machine learning or transfer ... PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering ...

The University of Chicago

Staff Scientist

Chicago, IL · On-site +1

D. in Computational Biology, Bioinformatics, Computer Science, or a closely related quantitative field. Experience: * At least one year of research experience in machine learning applied to ...

University of Utah

Post Doc Res Assoc

Campus, IL

$65K - $73K/yr

Computational biology / bioinformatics, especially ribosome profiling, disease gene discovery, or integrative multiomic analyses. * Machine learning for biological data (e.g., protein language models ...

University of Utah

Post Doc Res Assoc

Campus, IL · On-site

$65K - $73K/yr

Computational biology / bioinformatics, especially ribosome profiling, disease gene discovery, or integrative multiomic analyses. * Machine learning for biological data (e.g., protein language models ...

University of Utah

Post Doc Res Assoc

Campus, IL · On-site

$65K - $73K/yr

Computational biology / bioinformatics, especially ribosome profiling, disease gene discovery, or integrative multiomic analyses. * Machine learning for biological data (e.g., protein language models ...

AbbVie

Engineer, Technology II

North Chicago, IL · On-site +1

... machine learning concepts, and modern software development methodologies in enterprise environments. Preferred: * Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another ...

AbbVie

Engineer, Technology II

North Chicago, IL · On-site

$84K/yr

... machine learning concepts, and modern software development methodologies in enterprise environments. Preferred: * Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another ...

AbbVie

Engineer, Technology II

North Chicago, IL · On-site +1

... machine learning concepts, and modern software development methodologies in enterprise environments. Preferred: * Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another ...

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Freelance Bioinformatics Machine Learning information

What does a freelance bioinformatics machine learning specialist do?

A Freelance Bioinformatics Machine Learning specialist applies machine learning techniques to analyze biological data, such as genomics, proteomics, and medical records, on a project-by-project basis. They typically work independently with research labs, biotech companies, or healthcare organizations to develop algorithms, build predictive models, and interpret complex biological datasets. Their work helps drive insights in areas like drug discovery, personalized medicine, and disease prediction, often leveraging tools like Python, R, and specialized bioinformatics software. As freelancers, they have the flexibility to choose projects, set their schedules, and work remotely.

What are the key skills and qualifications needed to thrive as a freelance bioinformatics machine learning specialist?

To thrive as a Freelance Bioinformatics Machine Learning Specialist, you need a strong background in biology, statistics, and programming (such as Python or R), typically supported by a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), machine learning libraries (scikit-learn, TensorFlow), and experience with cloud computing platforms are highly valuable. Strong problem-solving, communication, and project management skills help distinguish top freelancers in this field. These capabilities are crucial for independently delivering accurate, actionable biological insights to clients and efficiently managing multiple projects.

What are some common challenges freelance bioinformatics machine learning professionals face when working with multiple clients?

Freelance bioinformatics machine learning professionals often encounter challenges such as managing diverse data formats, aligning project expectations, and ensuring data privacy across multiple clients. Each client may have unique datasets, varying levels of documentation, and different computational infrastructure, requiring adaptability and strong communication skills. Balancing multiple deadlines and maintaining clear, consistent reporting are also important to foster trust and long-term collaborations.

What is the difference between Freelance Bioinformatics Machine Learning vs Freelance Data Scientist?

AspectFreelance Bioinformatics Machine LearningFreelance Data Scientist
CredentialsBackground in bioinformatics, biology, or related fields; knowledge of machine learningBackground in statistics, computer science, or related fields; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic projects, freelance consultingVarious industries including finance, tech, healthcare, consulting
Industry UsagePrimarily biotech, healthcare, genomics, pharmaceutical sectorsBroad industry application including finance, marketing, tech, healthcare

Freelance Bioinformatics Machine Learning specialists focus on applying machine learning techniques to biological data, often working within biotech and healthcare sectors. In contrast, Freelance Data Scientists have a broader scope, working across multiple industries with diverse datasets. Both roles require strong analytical skills and programming expertise, but their industry focus and domain knowledge differ significantly.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Illinois? The most popular types of Bioinformatics Machine Learning jobs in Illinois are:
What are popular job titles related to Freelance Bioinformatics Machine Learning jobs in Illinois? For Freelance Bioinformatics Machine Learning jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Freelance Bioinformatics Machine Learning jobs in Illinois look for? The top searched job categories for Freelance Bioinformatics Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Freelance Bioinformatics Machine Learning jobs? Cities in Illinois with the most Freelance Bioinformatics Machine Learning job openings:
Freelance Bioinformatics Machine Learning jobs near you
Infographic showing various Freelance Bioinformatics Machine Learning job openings in Illinois as of August 2026, with employment types broken down into 62% Full Time, 25% Part Time, and 13% Contract. Highlights an 62% In-person, and 38% Remote job distribution.

Bioinformatics Scientist

Tempus

Chicago, IL • On-site, Remote

$115K - $175K/yr

Full-time

Posted yesterday

New

Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We are seeking a highly motivated and capable Bioinformatics Scientist to join our Liquid Biopsy Science team. This role will focus directly on assay and algorithmic development, optimization, and analytical validation of our next-generation Liquid Biopsy assays. The ideal candidate will possess deep technical and biological expertise to address key liquid biopsy challenges for various applications including diagnostics, complete genomic profiling, therapeutic selection, and treatment response monitoring (TRM).

Core Duties and Responsibilities

  • High-Sensitivity Biomarker Detection: Develop, tune, and optimize novel assays, algorithms, machine learning and statistical models to analyze next-generation sequencing (NGS) and multimodal data to detect oncology related biomarkers (SNV/indel/CNV/rearrangements, MSI, bTMB) from cell free DNA.

  • Tumor Fraction Estimation & Modeling: Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation and tracking, enabling robust evaluation for longitudinal treatment response monitoring (TRM).

  • Noise Suppression & Error Correction: Improve advanced molecular barcoding filtering strategies to distinguish true low-frequency oncology-related biomarkers from background sequencing artifacts.

  • Clonal Hematopoiesis (CHIP) Disambiguation: Design and integrate machine learning classifiers and filtering logic to effectively differentiate non-tumor-derived Clonal Hematopoiesis variants from true tumor-derived variants, protecting patients from inappropriate therapy selections.

  • Performance Characterization & Regulatory Support: Design and execute experiments to evaluate the assay's analytical performance to support regulatory documentation for CAP/CLIA, New York State (NYS), FDA, and MolDx submissions.

  • Cross-Functional Collaboration: Work closely with wet-lab assay development scientists, medical directors, clinical scientists, biostatisticians, software engineers, and product managers to translate cutting-edge research into clinically actionable insights and production-scale pipelines.

Qualifications and Competencies

  • Must have completed a Ph.D. or a Masters with 3+ years of industry experience in Bioinformatics, Computational Biology, Cancer Biology, Genetics, Immunology, Molecular Biology, or Computer Science

  • In-depth knowledge of modern tools and pipelines for processing, aligning, and analyzing multimodal NGS data (including epigenetics, DNA, RNA).

  • Computational skills using Python and/or R, including experience with data science and biological computing libraries.

  • Expertise with cloud computing environments (AWS or GCP), container solutions (Docker), and common workflow management tools (Nextflow, Snakemake)

  • Proven scientific reputation as demonstrated by scientific publication and/or contribution to successful product development in industry

  • Strong background in constructing statistical models, creating predictive/prognostic algorithms, and applying machine learning techniques.

  • Demonstrated effective communication and presentation skills

  • Self-driven and works well in interdisciplinary teams

CHI: $100,000-$160,000 USD
SF: $115,000-$175,000 USD

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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