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Bioinformatics Manager Remote Jobs in Chicago, IL

Tempus

Bioinformatics Scientist

Chicago, IL · On-site +1

... product managers to translate cutting-edge research into clinically actionable insights and ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Tempus

Manager, Regulatory Submissions (Remote)

Chicago, IL · Remote

$110K - $150K/yr

Our Manager of Regulatory Affairs will work closely with our scientists, engineers, clinicians ... Ability to work well with quality, clinical, medical, bioinformatics, and laboratory teams across a ...

Tempus

Manager, Regulatory Submissions (Remote)

Chicago, IL · On-site +1

$110K - $150K/yr

Our Manager of Regulatory Affairs will work closely with our scientists, engineers, clinicians ... Ability to work well with quality, clinical, medical, bioinformatics, and laboratory teams across a ...

All JobsBioinformatics JobsBioinformatics Manager Remote JobsBioinformatics Manager Remote Jobs in Chicago, IL

Bioinformatics Manager Remote information

See Chicago, IL salary details

$25.2K

$61.3K

$119.5K

How much do bioinformatics manager remote jobs pay per year?

As of Aug 13, 2026, the average yearly pay for bioinformatics manager remote in Chicago, IL is $61,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,300.00 and $70,600.00 per year, depending on experience, location, and employer.

What is the difference between Bioinformatics Manager Remote vs Bioinformatics Scientist?

AspectBioinformatics Manager RemoteBioinformatics Scientist
CredentialsBachelor's or Master's in Bioinformatics, Biology, or related; leadership experienceDegree in Bioinformatics, Biology, or related; research-focused
Work EnvironmentRemote, collaborative teams, project managementLab or office-based, research and data analysis
Industry UsageUsed in biotech, pharma, research firms for overseeing projectsUsed in research institutions, biotech for data analysis

The Bioinformatics Manager Remote role focuses on overseeing bioinformatics projects remotely, managing teams, and coordinating research efforts. In contrast, the Bioinformatics Scientist primarily conducts data analysis and research, often in a lab or office setting. Both roles require strong bioinformatics credentials, but the manager position emphasizes leadership and project management skills, especially in a remote environment.

What are the key skills and qualifications needed to thrive as a bioinformatics manager in a remote setting?

To excel as a Bioinformatics Manager remotely, you need a strong background in computational biology, data analysis, and project leadership, typically supported by an advanced degree in bioinformatics or a related field. Familiarity with bioinformatics tools (such as Python, R, and workflow management systems), cloud computing platforms, and relevant certifications are highly beneficial. Excellent communication, team management, and problem-solving skills are crucial to effectively coordinate distributed teams and projects. These competencies ensure successful project delivery, data-driven decision making, and productive collaboration in a virtual environment.

What are some common challenges faced by bioinformatics managers working remotely, and how can they be addressed?

Bioinformatics Managers working remotely often encounter challenges such as coordinating distributed teams, ensuring data security, and maintaining effective communication across time zones. To address these issues, it's important to implement robust project management tools, establish clear protocols for data sharing, and schedule regular virtual meetings to foster collaboration. Building a culture that encourages transparency and proactive communication can also help mitigate misunderstandings and keep projects on track.

What does a bioinformatics manager do in a remote role?

A Bioinformatics Manager working remotely oversees teams that analyze biological data, such as genetic or genomic information, using computational tools and software. They coordinate research projects, manage data pipelines, and ensure the quality and integrity of analyses performed. Additionally, they are responsible for mentoring team members, collaborating with scientists or clinicians, and helping to translate complex data into actionable insights for research or clinical applications—all while effectively managing workflows and communication in a remote environment.

What are popular job titles related to Bioinformatics Manager Remote jobs in Chicago, IL?

For Bioinformatics Manager Remote jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Manager Remote jobs in Chicago, IL look for?

The top searched job categories for Bioinformatics Manager Remote jobs in Chicago, IL are:

Bioinformatics Manager Remote jobs near you

Bioinformatics Scientist

Tempus

Chicago, IL • On-site, Remote

Full-time

Posted 8 days ago

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

Pay Range: 100,000 - 140,000 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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