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Remote Machine Learning Biology Jobs in Chicago, IL

Department BSD IPP - Machine Learning About the Department The Institute for Population and Precision Health (IPPH), located in the Biological Sciences Division, will integrate a wide spectrum of ...

Sr. Data Scientist

Chicago, IL ยท Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven ...

Consulting Actuary - Remote

Chicago, IL ยท On-site +1

$185K/yr

... machine learning. The ideal candidate would have at least 5 years of actuarial experience ... Remote Meet Your Recruiter Arturo Aguilera Director, Social Media & Marketing Arturo joined DW ...

Machine learning validation requirements * Lifecycle management of medical devices/IVDs * Changes ... Knowledge of engineering concepts and biology with ability to evaluate device performance data and ...

Machine learning validation requirements * Lifecycle management of medical devices/IVDs * Changes ... Knowledge of engineering concepts and biology with ability to evaluate device performance data and ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Corporate Counsel (Remote)

Chicago, IL ยท On-site +1

$15K - $200K/yr

... machine learning and next generation genomic testing? Want to advise a cutting-edge business on ... biological makeup. We now have more data than ever, but health care providers don't have the ...

Corporate Counsel (Remote)

Chicago, IL ยท On-site +1

$15K - $200K/yr

... machine learning and next generation genomic testing? Want to advise a cutting-edge business on ... biological makeup. We now have more data than ever, but health care providers don't have the ...

Showing results 21-40

Remote Machine Learning Biology information

See Chicago, IL salary details

$38.1K

$92.1K

$142.2K

How much do remote machine learning biology jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote machine learning biology in Chicago, IL is $92,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $124,600.00 per year, depending on experience, location, and employer.

What is a remote machine learning biologist?

A Remote Machine Learning Biologist is a professional who applies machine learning techniques to biological data and problems while working remotely, often from home or a location outside a traditional laboratory or office. They use computational tools and algorithms to analyze complex biological datasets, such as genomics, proteomics, or drug discovery data, to derive insights or make predictions. Their work may involve developing predictive models, automating data analysis, and collaborating with life scientists and engineers. Remote roles in this field require strong skills in both biology and computer science, as well as the ability to work independently and communicate effectively with remote teams.

What are the key skills and qualifications needed to thrive as a remote machine learning biology professional?

To thrive as a Remote Machine Learning Biology professional, you need a strong foundation in computational biology, machine learning algorithms, programming (such as Python or R), and a relevant degree in bioinformatics, computer science, or biology. Familiarity with bioinformatics tools, data analysis platforms, cloud computing resources, and frameworks like TensorFlow or PyTorch is typically required. Excellent problem-solving, collaboration, and communication skills are essential for effectively interpreting results and working with interdisciplinary teams in a remote environment. These skills and qualities are crucial for advancing biological research through data-driven insights and ensuring effective teamwork and project delivery in a virtual setting.

How do remote machine learning biology professionals typically collaborate with experimental biologists and other team members?

Remote machine learning biology professionals often work closely with experimental biologists, bioinformaticians, and data engineers through virtual meetings, shared project management tools, and collaborative coding platforms. Regular communication is vital to ensure alignment on research objectives, data requirements, and interpretation of results. Team members typically share data, code, and experimental findings using cloud-based repositories, while frequent check-ins help address challenges and maintain project momentum. This collaborative approach allows remote professionals to contribute effectively to interdisciplinary research, despite physical distance.

What is the difference between Remote Machine Learning Biology vs Remote Bioinformatics Specialist?

AspectRemote Machine Learning BiologyRemote Bioinformatics Specialist
Required CredentialsMaster's or PhD in Biology, Data Science, or related fields; experience in machine learningBachelor's or Master's in Bioinformatics, Biology, or Computer Science; programming skills
Work EnvironmentResearch labs, biotech companies, or academic institutions with remote optionsResearch institutions, healthcare, or biotech firms with remote roles
Industry UsageUsed in biotech, pharmaceuticals, and research to analyze biological data with MLApplied in genomics, proteomics, and clinical data analysis

Remote Machine Learning Biology focuses on applying machine learning techniques to biological data, often requiring advanced degrees and programming skills. Remote Bioinformatics Specialists analyze biological datasets using bioinformatics tools. Both roles are vital in biotech and research industries, but they differ in technical focus and required expertise.

What are popular job titles related to Remote Machine Learning Biology jobs in Chicago, IL?

For Remote Machine Learning Biology jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Biology jobs in Chicago, IL look for?

The top searched job categories for Remote Machine Learning Biology jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Remote Machine Learning Biology jobs?

Cities near Chicago, IL with the most Remote Machine Learning Biology job openings:

Infographic showing various Remote Machine Learning Biology job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $92,099 per year, or $44.3 per hour.

Senior Director, Functional Genomics & Organoid Systems Biology

Tempus

Chicago, IL โ€ข On-site, Remote

Full-time

PTO

Re-posted 12 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 an exceptional Senior Director, Functional Genomics & Organoid Systems Biology to lead and expand our patient-derived organoid (PDO) biology platform. This leader will drive the wet lab component of our systems biology team, and will help define how this experimental layer will combine with computational approaches and the massive multimodal Tempus data layer to unlock new biological insights. This leader will oversee a multidisciplinary team of scientists and research associates responsible for executing large-scale functional screens-including CRISPR-based genetic perturbation screens, drug sensitivity screens, single-cell and spatial technologies, and combination therapy studies-in clinically annotated patient-derived organoid models.

The successful candidate will define and drive the scientific vision for leveraging PDOs to validate hypotheses generated from Tempus' unique real-world clinico-genomic data assets. Working closely with computational scientists, machine learning researchers, translational scientists, and clinical teams, this individual will establish an integrated discovery engine that translates patient data into experimentally validated therapeutic opportunities.

This is a highly visible leadership role that combines scientific strategy, organizational leadership, platform development, and translational research to identify novel targets, biomarkers, and therapeutic strategies for cancer patients.

This position is based in Tempus' Chicago lab: hybrid or remote candidates will not be considered.

Key Responsibilities
  • Define and execute the long-term scientific strategy for functional screening and target discovery using patient-derived organoid models.

  • Establish a world-class organoid-based discovery platform capable of validating hypotheses generated from large-scale multimodal patient datasets.

  • Serve as a scientific thought leader internally and externally, representing the company through publications, presentations, and strategic collaborations.

  • Oversee the design, execution, and interpretation of large-scale CRISPR screening campaigns, including knockout, activation, interference, and pooled screening approaches.
  • Lead drug screening efforts across diverse PDO models to identify therapeutic sensitivities, resistance mechanisms, and rational drug combinations.

  • Drive development of next-generation functional assays incorporating co-culture systems, immune components, and emerging technologies.

  • Establish rigorous experimental standards, quality systems, and reproducible workflows across the screening platform.

  • Ensure efficient scaling of laboratory operations to support discovery and translational research objectives.

  • Partner closely with computational biology and data science teams to prioritize hypotheses arising from real-world patient data.
  • Create an iterative discovery framework in which computational predictions are experimentally tested and experimental findings inform subsequent computational analyses.

  • Collaborate with clinical, molecular profiling, and translational research teams to connect experimental findings with patient outcomes and therapeutic hypotheses.

  • Build, lead, and mentor a high-performing team of scientists, research associates, and laboratory personnel.
  • Foster a culture of scientific excellence, innovation, accountability, and collaboration.

  • Recruit top-tier talent across functional genomics, organoid biology, and translational oncology.

  • Establish clear goals, development plans, and performance expectations for team members.

  • Manage departmental budgets, resource allocation, and strategic planning.

Required Qualifications
  • PhD, MD, or MD/PhD in Cancer Biology, Molecular Biology, Genetics, Functional Genomics, Bioengineering, or a related discipline.

  • 8+ years of relevant industry and/or academic experience, including substantial leadership experience.

  • Deep expertise in cancer biology, functional genomics, and target discovery.

  • Demonstrated experience leading CRISPR-based screening programs and large-scale functional biology initiatives.

  • Hands-on experience with patient-derived organoids, ex vivo models, or other clinically relevant disease model systems.

  • Track record of translating biological insights into therapeutic hypotheses, biomarkers, or drug discovery programs.

  • Experience managing and mentoring multidisciplinary scientific teams.

  • Strong publication and/or patent record demonstrating scientific impact.

  • Excellent communication skills and ability to influence across scientific and executive stakeholders.

CHI: $190,000 - $270,000

The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, 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.

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.