Biotech & Pharma Green Card Sponsorship Jobs in Illinois
Illinois is one of the Midwest's strongest markets for biotech and pharma Green Card sponsorship, anchored by companies like AbbVie, Baxter International, and Takeda Pharmaceuticals in the Chicago metro and North Shore corridor. The state's deep research infrastructure, proximity to major academic medical centers, and established pharma manufacturing base make it a consistent source of employer-sponsored permanent residency opportunities.
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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're seeking a highly skilled and innovative Staff/Senior Machine Learning Engineer to join our Clinical AI Team. As a Staff/Senior Machine Learning Engineer, you'll play a crucial role in leveraging and deploying cutting-edge natural language processing models and LLMs specifically tailored for healthcare applications at scale. Your work will contribute to optimizing clinical workflows, improving clinical trial matching, and advancing medical research. This position offers an exciting opportunity to leverage the power of natural language processing and LLMs to revolutionize healthcare and make a significant impact on people's lives.
ROLE AND RESPONSIBILITIES:
- Build and operate production AI pipelines: LLM-powered extraction, batch orchestration, and inference, with a focus on reliability, cost, and latency
- Design and maintain Airflow-based orchestration for batch clinical workflows
- Build the observability (metrics, logging, alerting) that catches regressions before they reach downstream consumers
- Build and maintain eval infrastructure that measures clinical model output quality continuously: regression detection, drift, gold-set management, dashboards
- Ship platform tooling and SDKs that accelerate Machine Learning Scientists and downstream consumers
- Partner with Machine Learning Scientists to debug bad model outputs to root cause (data, prompt, or pipeline)
- Participate in the pod's on-call rotation
- Collaborate with platform/infrastructure teams to leverage GCP services for performance, security, and cost-efficiency
- Author and review design docs for cross-pod work
- Raise the engineering bar through code review and design review
BASIC QUALIFICATIONS:
- Strong command of Python in production environments
- Experience designing, building, and integrating with microservices in production
- Deployed data orchestration workflows in production (Airflow or equivalent)
- Worked on cloud-native services (GCP preferred but not required)
- Built monitoring, observability, and alerting for production systems
- Hands-on experience with at least one major ML framework — we primarily use LangGraph; PyTorch, spaCy, or equivalents are equally welcome
- Strong written and verbal communication, including experience authoring and reviewing design docs (RFCs, PRDs, or equivalent); partners well with research scientists, PMs, and clinicians
PREFERRED QUALIFICATIONS:
- Operated production systems hands-on — on-call rotations, incident response, postmortems
- Experience building eval/quality measurement systems for ML or LLM outputs
- Hands-on production LLM application experience (prompts, agents, RAG, LLM evals, extraction pipelines)
- Built internal platforms or SDKs that other engineers/scientists depended on
- Experience working with clinical or biomedical data (EHR, genomics, pathology, clinical notes)
- Contributions to relevant open-source projects
COMPENSATION
- New York Pay Range - $170,000 - $230,000 USD
- California Pay Range - $170,000 - $230,000 USD
- Illinois Pay Range - $150,000 - $210,000 USD
- Remote - USA Range - $150,000 - $210,000 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.
About us
Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world-class team, focused on building the first version of a platform capable of ingesting real-time healthcare data in an effort to personalize diagnostics.
We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives.
WHY WORK HERE?
We’re looking for people who can change the world.
Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.
INTRODUCTION
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're seeking a highly skilled and innovative Staff/Senior Machine Learning Engineer to join our Clinical AI Team. As a Staff/Senior Machine Learning Engineer, you'll play a crucial role in leveraging and deploying cutting-edge natural language processing models and LLMs specifically tailored for healthcare applications at scale. Your work will contribute to optimizing clinical workflows, improving clinical trial matching, and advancing medical research. This position offers an exciting opportunity to leverage the power of natural language processing and LLMs to revolutionize healthcare and make a significant impact on people's lives.
ROLE AND RESPONSIBILITIES:
- Build and operate production AI pipelines: LLM-powered extraction, batch orchestration, and inference, with a focus on reliability, cost, and latency
- Design and maintain Airflow-based orchestration for batch clinical workflows
- Build the observability (metrics, logging, alerting) that catches regressions before they reach downstream consumers
- Build and maintain eval infrastructure that measures clinical model output quality continuously: regression detection, drift, gold-set management, dashboards
- Ship platform tooling and SDKs that accelerate Machine Learning Scientists and downstream consumers
- Partner with Machine Learning Scientists to debug bad model outputs to root cause (data, prompt, or pipeline)
- Participate in the pod's on-call rotation
- Collaborate with platform/infrastructure teams to leverage GCP services for performance, security, and cost-efficiency
- Author and review design docs for cross-pod work
- Raise the engineering bar through code review and design review
BASIC QUALIFICATIONS:
- Strong command of Python in production environments
- Experience designing, building, and integrating with microservices in production
- Deployed data orchestration workflows in production (Airflow or equivalent)
- Worked on cloud-native services (GCP preferred but not required)
- Built monitoring, observability, and alerting for production systems
- Hands-on experience with at least one major ML framework — we primarily use LangGraph; PyTorch, spaCy, or equivalents are equally welcome
- Strong written and verbal communication, including experience authoring and reviewing design docs (RFCs, PRDs, or equivalent); partners well with research scientists, PMs, and clinicians
PREFERRED QUALIFICATIONS:
- Operated production systems hands-on — on-call rotations, incident response, postmortems
- Experience building eval/quality measurement systems for ML or LLM outputs
- Hands-on production LLM application experience (prompts, agents, RAG, LLM evals, extraction pipelines)
- Built internal platforms or SDKs that other engineers/scientists depended on
- Experience working with clinical or biomedical data (EHR, genomics, pathology, clinical notes)
- Contributions to relevant open-source projects
COMPENSATION
- New York Pay Range - $170,000 - $230,000 USD
- California Pay Range - $170,000 - $230,000 USD
- Illinois Pay Range - $150,000 - $210,000 USD
- Remote - USA Range - $150,000 - $210,000 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.
About us
Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world-class team, focused on building the first version of a platform capable of ingesting real-time healthcare data in an effort to personalize diagnostics.
We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives.
WHY WORK HERE?
We’re looking for people who can change the world.
Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.
Green Card Biotech & Pharma Job Roles in Illinois
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Search Biotech & Pharma Jobs in IllinoisBiotech & Pharma Green Card Sponsorship Jobs in Illinois: Frequently Asked Questions
Which biotech & pharma companies sponsor Green Card visas in Illinois?
AbbVie, headquartered in North Chicago, is one of the state's most active Green Card sponsors, alongside Baxter International in Deerfield and Takeda Pharmaceuticals in Bannockburn. Smaller biotech firms clustered in the Chicago Innovation Exchange and Illinois Science and Technology Park also sponsor permanent residency, particularly for specialized research and clinical roles that are difficult to fill domestically.
Which cities in Illinois have the most biotech & pharma Green Card sponsorship jobs?
The North Shore suburbs, including North Chicago, Deerfield, Bannockburn, and Lake Forest, concentrate the largest share of Illinois biotech and pharma Green Card sponsorship activity due to the headquarters presence of major pharmaceutical companies there. Chicago itself has a growing biotech cluster in the Fulton Market and River North districts, with additional opportunities in the Research Park at the University of Illinois in Champaign-Urbana.
What types of biotech & pharma roles typically qualify for Green Card sponsorship in Illinois?
Roles that require specialized scientific or technical credentials are the most common Green Card sponsorship candidates in Illinois biotech and pharma. These include research scientists, computational biologists, process development engineers, regulatory affairs specialists, clinical pharmacologists, and quality assurance professionals with advanced degrees. Positions tied to proprietary research pipelines or highly specialized manufacturing processes are particularly likely to see employer-sponsored permanent residency petitions.
How do I find biotech & pharma Green Card sponsorship jobs in Illinois?
Migrate Mate filters job listings specifically by visa sponsorship type, so you can search biotech and pharma roles in Illinois where employers have indicated Green Card sponsorship. This saves significant time compared to reviewing individual postings manually. Migrate Mate's job board is updated regularly and covers employers across the North Shore pharma corridor and the Chicago metro biotech cluster, making it a practical starting point for your search.
Are there Illinois-specific factors that affect Green Card sponsorship in biotech & pharma?
Illinois does not have state-level immigration programs, so Green Card sponsorship follows federal processes, primarily EB-2 and EB-3 employment-based categories with PERM labor certification. However, Illinois's concentration of large multinational pharma companies means many employers have established in-house immigration teams and external counsel experienced with high-volume sponsorship, which can affect how efficiently PERM and I-140 petitions are handled compared to smaller employers in less active markets.
What is the prevailing wage for Green Card biotech & pharma jobs in Illinois?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.