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Bioinformatics Engineer Remote Jobs in Illinois (NOW HIRING)

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

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong ...

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 ...

Manager, Regulatory Submissions (Remote)

Chicago, IL ยท 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 ...

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Bioinformatics Engineer Remote information

How do bioinformatics engineers working remotely typically collaborate with cross-functional teams?

Remote Bioinformatics Engineers regularly collaborate with software developers, data scientists, biologists, and clinicians using digital communication and project management tools. Team meetings are often held via video conferencing platforms, and code or data is shared through cloud-based repositories like GitHub or institutional servers. Clear documentation and regular updates are essential to ensure everyone is aligned, and agile methodologies are commonly used to organize work in sprints. This collaborative structure fosters effective teamwork despite the physical distance, allowing for efficient problem-solving and project delivery.

What are the key skills and qualifications needed to thrive as a bioinformatics engineer, and why are they important?

To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, typically supported by a relevant degree such as bioinformatics, computational biology, or computer science. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, Galaxy), and knowledge of cloud computing platforms are essential, along with any certifications in data analysis or cloud services. Strong problem-solving abilities, attention to detail, and effective remote communication are vital soft skills for success in distributed teams. These competencies ensure efficient analysis of complex biological data and seamless collaboration across multidisciplinary, often geographically dispersed, research teams.

What does a bioinformatics engineer do?

A remote Bioinformatics Engineer designs, develops, and maintains computational tools and software for analyzing biological data, such as DNA sequences or protein structures, from a remote location. They collaborate with scientists and researchers to process large datasets, develop algorithms, and interpret results to advance scientific understanding or medical research. Working remotely, they use cloud-based platforms, version control systems, and secure data-sharing tools to effectively contribute to bioinformatics projects. Communication and teamwork are maintained through digital collaboration tools, allowing them to work with international teams.

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

AspectBioinformatics Engineer RemoteBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related field; programming skillsSimilar credentials; often advanced degrees preferred
Work EnvironmentRemote, collaborative with biotech or pharma teamsTypically in research labs or academic settings, but can be remote
Employer & Industry UsageBiotech, pharma, healthcare companiesResearch institutions, biotech firms, academia
Common Search & ComparisonYesYes

The main difference between a Bioinformatics Engineer Remote and a Bioinformatics Scientist lies in their focus areas. Engineers often concentrate on developing tools and pipelines, while Scientists focus on data analysis and research. Both roles require similar educational backgrounds and can be performed remotely, especially in biotech and pharma industries.

What are the most commonly searched types of Bioinformatics Engineer jobs in Illinois? The most popular types of Bioinformatics Engineer jobs in Illinois are:
What job categories do people searching Bioinformatics Engineer Remote jobs in Illinois look for? The top searched job categories for Bioinformatics Engineer Remote jobs in Illinois are:
What cities in Illinois are hiring for Bioinformatics Engineer Remote jobs? Cities in Illinois with the most Bioinformatics Engineer Remote job openings:

Bioinformatics Scientist

Tempus

Chicago, IL โ€ข On-site, Remote

Full-time

Posted 4 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.