2

Remote Bioinformatics Genetics Jobs in Chicago, IL

Bioinformatics Scientist

Chicago, IL · On-site +1

$115K - $175K/yr

... Biology, Genetics, Immunology, Molecular Biology, or Computer Science * In-depth knowledge of ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

New

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Experience working in oncology and/or analyzing outcomes related to cancer genetics, immunology, or ...

Remote Bioinformatics Genetics information

See Chicago, IL salary details

$61.3K

$97.3K

$154K

How much do remote bioinformatics genetics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote bioinformatics genetics in Chicago, IL is $97,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $133,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Bioinformatics Genetics vs Remote Genomic Data Analyst?

AspectRemote Bioinformatics GeneticsRemote Genomic Data Analyst
Required CredentialsBachelor's/Master's in Genetics, Bioinformatics, or related field; often requires programming skillsBachelor's/Master's in Biology, Data Science, or related; may also need programming knowledge
Work EnvironmentResearch labs, biotech companies, academic institutions, remote options commonHealthcare, research institutions, biotech firms; predominantly remote roles
Industry UsageUsed in genetics research, personalized medicine, genomics projectsApplied in clinical genomics, population studies, data interpretation

Remote Bioinformatics Genetics focuses on analyzing genetic data to understand biological functions, often requiring specialized bioinformatics skills. Remote Genomic Data Analysts interpret genomic datasets for clinical or research purposes. While both roles involve data analysis and programming, Bioinformatics Genetics emphasizes genetic research, whereas Genomic Data Analysts focus on data interpretation in healthcare or research settings.

What are the most commonly searched types of Bioinformatics Genetics jobs in Chicago, IL? The most popular types of Bioinformatics Genetics jobs in Chicago, IL are:
What are popular job titles related to Remote Bioinformatics Genetics jobs in Chicago, IL? For Remote Bioinformatics Genetics jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Genetics jobs in Chicago, IL look for? The top searched job categories for Remote Bioinformatics Genetics jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Bioinformatics Genetics jobs? Cities near Chicago, IL with the most Remote Bioinformatics Genetics job openings:
Infographic showing various Remote Bioinformatics Genetics job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $97,322 per year, or $46.8 per hour.

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.