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Machine Learning Engineer Biotech Jobs in Illinois

Machine Learning Engineer II

Chicago, IL ยท On-site

$100K - $137K/yr

The Machine Learning Engineer II role is part of the Technology Team, which is responsible for providing industry-leading machine learning-based tools or processes to the Company, which provide a ...

Senior Machine Learning Engineer

Chicago, IL ยท Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

Senior AI Machine Learning Engineer

Chicago, IL ยท Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and operationalizing productiongrade AI solutions-partnering closely with product, engineering, and ...

Hardware Machine Learning Engineer

Chicago, IL ยท On-site

$200K - $225K/yr

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

Sr Machine Learning Engineer

Chicago, IL ยท On-site

$57.50 - $76/hr

D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques, including but ...

Sr Machine Learning Engineer

Chicago, IL

$57.50 - $76/hr

D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques, including but ...

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Machine Learning Engineer Biotech information

What does a Machine Learning Engineer do in the biotech industry?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do Machine Learning Engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer in Biotech, and why are they important?

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are the most commonly searched types of Machine Learning Engineer Biotech jobs in Illinois? The most popular types of Machine Learning Engineer Biotech jobs in Illinois are:
What cities in Illinois are hiring for Machine Learning Engineer Biotech jobs? Cities in Illinois with the most Machine Learning Engineer Biotech job openings:
Machine Learning Engineer II

Machine Learning Engineer II

Lessen

Chicago, IL โ€ข On-site

$100K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Lessen is the tech-enabled, end-to-end property service provider that is transforming how commercial and residential real estate services are delivered and managed at scale. Lessen's technology platform provides data-driven insights that unlock key growth opportunities for the entire real estate ecosystem-including investors, owners, managers, and service providers. The company leverages a network of over 30,000 vetted, qualified vendors (Lessen Affiliates) serving clients with over 1 million properties and completing more than 3.5 million work orders annually across an expanding range of services. Lessen, LLC is a venture-backed, privately held company with offices in Scottsdale and Chicago.ย 

The Machine Learning Engineer II role is part of the Technology Team, whichย is responsible forย providing industry-leading machine learning-based tools or processes to the Company, which provide a competitive advantage and eciency. You will work closely with cross-functional teams to build intelligent systems that solve real-world problems using machine learning, deep learning, and data science techniques.ย 
What You'll Do:
  • Design, deploy, ne-tune, and evaluate large language models (LLMs); developย eectiveย prompting strategies toย optimizeย performance for various business use cases.ย 

  • Improve data quality by cleaning the company's data and sourcing information from new data sources.ย 

  • Use machine learning/ deep learning to enhance and automate processes in Lessen proprietary tools.ย 

  • Translate business problems into scalable AI/ML solutions, particularly using LLMs, in areasย 

  • such as copilot systems, intelligent voice assistants, and work order processing optimization.ย 

  • Collaborate cross-functionally with teams to develop, rene, and scale data-driven procedures and workows.ย 

  • Foster a positive team environment.ย 

  • Ensure condentiality and integrity of internal and external data.ย 

  • Perform ad-hoc projects and other duties as assigned.ย 

You Should Have:
ย 
Minimum Qualificationsย 
ย 
  • PhDย orย Master'sย degree in Math, Physics, Statistics, Computer Science, or other related eldsย 

  • 1-3 years of experience as a data scientist, working closely within a businessย 

  • Strong mathematical and statistical skillsย 

  • Programming Languages: SQL, Pythonย 

  • Understanding of ETL tools and database architectureย 

  • Familiarity withย pytorch, pandas and cloudย platform like AWS,ย Azureย and GCPย 

  • Prompt engineering experienceย 

  • Experience using a machine learning frameworkย e.g.ย scikit-learn,ย pytorchย or similarย 

  • Experience withย a statisticalย software (e.g.ย R, SAS)ย 

  • Experience with natural language processingย 

  • Advanced knowledge of Data Warehousing and BI best practicesย 

  • Experience with big data tools such as Spark, Hadoop, etc.ย 

  • Experience with Tableau or Supersetย ย 

These are the professional skills we would expect from an individual fullyย establishedย in this role.ย ย 

  • Verbal Communication - Proficientย ย 

  • Written Communication - Proficientย ย 

  • Teamwork - Advancedย 

  • Relationships - Advancedย 

  • Organizational Awareness - Advancedย 

  • Learning Agility - Advancedย ย 

  • Analysis - Advancedย ย 

  • Problem Solving - Advancedย ย 

  • Process Orientation - Advancedย 

  • Prioritization - Advancedย 

  • Customer Service - Proficientย 

  • Process Orientation - Advancedย 

  • Negotiation -ย Advancedย 

Why Lessen:
ย ย ย ย ย ย ย  Competitive compensation
ย ย ย ย ย ย ย  Health, Dental, Vision, Life, Disability options
ย ย ย ย ย ย ย  401K retirement savings plan
ย ย ย ย ย ย ย  Paid vacation, federal and floating holidays
ย ย ย ย ย ย ย  Maternity/Paternity Pay
ย ย ย ย ย ย ย  Career advancement opportunities
ย ย ย ย ย ย ย  All the tools you'll need to be successful

Lessen is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. We're looking for teammates that are enthusiastic, empathetic, curious, motivated, reliable, and will help us amplify the positive & inclusive culture we've been building.ย  Lessen is an Equal Opportunity Employer.ย  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.ย 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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