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Biotech Data Science Jobs in Illinois (NOW HIRING)

Archer Daniels Midland

This is an important role within ADM's Biotechnology Group and scientists with industry experience ... Design experiments, analyze and interpret data, and report findings on strain performance to link ...

Astrix Inc

Principal Scientist

Elgin, IL · On-site

$100K - $120K/yr

Provide scientific data and technical content for promotional materials, webinars, customer ... D. in Chemistry, Biochemistry, Biotechnology, Food Science, or another related scientific ...

Astrix Inc.

Principal Scientist

Carol Stream, IL · On-site

$100 - $120/hr

Provide scientific data and technical content for promotional materials, webinars, customer ... D. in Chemistry, Biochemistry, Biotechnology, Food Science, or another related scientific ...

Amgen, Inc.

Data Management Manager

Deerfield, IL · On-site

$142K/yr

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest ... Our award-winning culture is collaborative, innovative, and science based. If you have a passion ...

Amgen

Data Management Manager

Deerfield, IL · On-site +1

$142K/yr

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest ... Our award-winning culture is collaborative, innovative, and science based. If you have a passion ...

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Biotech Data Science information

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$36.3K

$118.9K

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How much do biotech data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for biotech data science in Illinois is $118,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $131,800.00 per year, depending on experience, location, and employer.

What is a biotech data science?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

What are the key skills and qualifications needed to thrive in biotech data science, and why are they important?

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What are the most common challenges faced by professionals in biotech data science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

What are the most commonly searched types of Biotech Data Science jobs in Illinois?

The most popular types of Biotech Data Science jobs in Illinois are:

What are popular job titles related to Biotech Data Science jobs in Illinois?

For Biotech Data Science jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Biotech Data Science jobs in Illinois look for?

The top searched job categories for Biotech Data Science jobs in Illinois are:

What cities in Illinois are hiring for Biotech Data Science jobs?

Cities in Illinois with the most Biotech Data Science job openings:

Biotech Data Science jobs near you
Infographic showing various Biotech Data Science job openings in Illinois as of August 2026, with employment types broken down into 60% Full Time, 10% Part Time, 10% Temporary, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $118,937 per year, or $57.2 per hour.

Scientist III, Strain Development - Decatur, IL

Archer Daniels Midland

On-site

Full-time

Posted 16 days ago

ADM rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

75th of 365 rated logistics

Job description

Scientist III, Strain Development - Decatur, IL
Position Summary:
ADM Cell Engineering is recruiting an experienced synthetic biologist to join our strain development team.  This scientist will design, build and test yeast strains for a high impact project that supports the ADM BioSolutions sustainable materials strategy. The successful candidate will play a key role in advancing ADM's low-pH platform yeast by combining genome editing, molecular biology, and phenotypic screens to build and test metabolically reprogrammed yeast strains for improved fermentation performance. This scientist will collaborate with project leaders and subject matter experts in metabolic engineering, automation & high-throughput screening, genomics and fermentation. This is an important role within ADM's Biotechnology Group and scientists with industry experience or experience genetically engineering industrial yeast are encouraged to apply.
Job Responsibilities:
  • Design and build yeast strains containing heterologous metabolic pathways and/or loss-of-function mutations.
  • Deploy state-of-the-art genome editing technologies to efficiently build new yeast strains.
  • Design experiments, analyze and interpret data, and report findings on strain performance to link genotype to phenotype.
  • Further optimize strain engineering methods to accelerate Design-Build-Test-Learn cycles.
  • Analyze and interpret NGS genomic sequencing results (e.g., DNA-seq, RNA-seq).
  • Collaborate with automation scientists to transfer manual bench-scale experiments to high-throughput robotic platforms.
  • Maintain detailed notes in Benchling ELN/LIMS to enable data sharing and collaboration across project teams.
  • Contribute to a team-oriented, positive and safe work environment.
Job Requirements:
These skills and experiences will be required or useful for the candidate:
  • Ph.D. in molecular biology, biochemistry, biotechnology (or related field) or M.Sc. degree with 5+ years industry experience.
  • An understanding of yeast and/or microbial molecular genetics, cell biology and physiology.
  • A track record of using 96 well plate methods for molecular cloning and/or biochemical assays.
  • Experience interpreting genetic, molecular biology and biochemistry data.
  • Ability to use bioinformatics and sequence analysis tools (familiarity with Python or R is desirable).
  • Working knowledge of bio-based production and fermentation key performance indicators (KPIs).
  • Ability to generate, organize, analyze and interpret large datasets.
  • Demonstrated success working within inter-disciplinary team.
  • Excellent written and oral communication skills with both technical and non-technical personnel.
Excited about this role but don't think you meet every requirement listed? We encourage you to apply anyway. You may be just the right candidate for this role or another one of our openings.
ADM requires the successful completion of a background check. 
REF:111741BR

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