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Biotech Data Science Jobs in Chicago, IL (NOW HIRING)

Data Scientist II, Outcomes Research

Chicago, IL · On-site +1

$100K - $150K/yr

The Outcomes Research team partners with external Pharma, biotech, and academic institutions to ... Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ...

The Outcomes Research team partners with external Pharma, biotech, and academic institutions to ... Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ...

CRA 1, IQVIA Biotech

Rosemont, IL · On-site

$71K - $145K/yr

This role is essential in protecting patient safety, ensuring highquality clinical data, and ... Bachelor's degree required; a scientific or healthcare discipline is preferred. * 6 months -2 years ...

This role is essential in protecting patient safety, ensuring highquality clinical data, and ... Bachelor's degree required; a scientific or healthcare discipline is preferred. * 6 months -2 years ...

This role is essential in protecting patient safety, ensuring highquality clinical data, and ... Bachelor's degree required; a scientific or healthcare discipline is preferred. * 6 months -2 years ...

CRA 1, IQVIA Biotech

Chicago, IL · On-site

$71K - $145K/yr

This role is essential in protecting patient safety, ensuring highquality clinical data, and ... Bachelor's degree required; a scientific or healthcare discipline is preferred. * 6 months -2 years ...

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Showing results 1-20

Biotech Data Science information

See Chicago, IL salary details

$38.7K

$126.5K

$202.6K

How much do biotech data science jobs pay per year?

As of Jul 26, 2026, the average yearly pay for biotech data science in Chicago, IL is $126,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,200.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Biotech data scientists can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and bioinformatics, and working in senior or specialized roles. Compensation varies based on location, company size, and individual expertise, with some senior-level positions reaching or exceeding this salary level.

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 key skills and qualifications needed to thrive in the Biotech Data Science position, 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 is a biotech data scientist?

A biotech data scientist analyzes biological and medical data to support research and development in the biotechnology industry. They use skills in statistics, programming, and machine learning, often working with tools like Python, R, and SQL to interpret complex datasets and inform decision-making.

What is a Biotech Data Science job?

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.

How can data science be used in biotechnology?

Biotech data scientists analyze large biological datasets to identify patterns, develop predictive models, and optimize processes such as drug discovery, genetic research, and personalized medicine. They use tools like machine learning, statistical analysis, and bioinformatics software to support research and development efforts in biotechnology companies and labs.

Can a biotechnologist become a data scientist?

A biotechnologist can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional training or education such as online courses or advanced degrees. Their background in biology and laboratory data can provide a strong foundation for analyzing complex datasets in data science roles within biotech and healthcare industries.
What are the most commonly searched types of Biotech Data Science jobs in Chicago, IL? The most popular types of Biotech Data Science jobs in Chicago, IL are:
What job categories do people searching Biotech Data Science jobs in Chicago, IL look for? The top searched job categories for Biotech Data Science jobs in Chicago, IL are:
Infographic showing various Biotech Data Science job openings in Chicago, IL as of July 2026, with employment types broken down into 92% Full Time, 1% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $126,438 per year, or $60.8 per hour.
Associate Director, Commercial Data Science

Associate Director, Commercial Data Science

Amgen

Deerfield, IL

$60K - $60K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago


Job description

Career CategorySales & Marketing OperationsJob DescriptionJoin Amgen's Mission of Serving Patients

At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Associate Director, Commercial Data ScienceWhat you will do

Let's do this. Let's change the world. In this vital role the Associate Director, Commercial Data Science is responsible for defining and executing the Commercial AI and Advanced Analytics strategy across Amgen's Commercial Business Units. This leader partners with senior commercial, marketing, medical, digital, and technology stakeholders to identify high-value business opportunities where AI and data science can create measurable impact.

Rather than serving as an individual contributor, the Associate Director leads teams of data scientists and cross-functional partners to develop scalable AI/ML products and enterprise analytics capabilities that improve commercial performance and ultimately help patients receive the therapies they need.

Reporting to the Senior Director, Commercial Data Science, this individual will drive strategy, portfolio prioritization, organizational capability, and business adoption across the Commercial organization.

Flexible Commuter role to Thousand Oaks, CA office. You will work on-site a minimum of 2 days a week.

Strategic Leadership

  • Execute on the Commercial AI and Advanced Analytics roadmap aligned with brand and enterprise priorities.
  • Partner with Commercial leadership to identify high-value opportunities where AI and advanced analytics can accelerate growth, improve customer engagement, and enhance decision making.
  • Prioritize the Commercial AI/ML portfolio based on business value, strategic alignment, organizational readiness, and expected return on investment.
  • Translate evolving business challenges into scalable capabilities and data products.

AI Product & Portfolio Leadership

  • Lead a portfolio of AI, Machine Learning, Generative AI, and advanced analytics initiatives from business strategy through deployment and organizational adoption.
  • Provide technical oversight for predictive modeling, customer targeting, next-best-action, causal inference, optimization, Generative AI, and other advanced analytical capabilities.
  • Guide technical teams in the development of production-grade AI products while ensuring scalability, maintainability, and business impact.
  • Partner with Data Engineering, Digital Technology, and external vendors to operationalize enterprise AI capabilities.

Business Partnership & Executive Influence

  • Build trusted partnerships with Brand, Marketing, Sales, Medical, Market Access, and Digital leaders.
  • Communicate complex analytical concepts to executive audiences in a clear, compelling, and business-focused manner.
  • Influence investment decisions by developing business cases, success metrics, and ROI assessments for AI initiatives.

Organizational Leadership

  • Lead, coach, and develop a high-performing team of data scientists while fostering a culture of innovation, collaboration, continuous learning, and business partnership.
  • Establish technical standards, best practices, and governance for Commercial Data Science.
  • Champion responsible AI principles, model governance, and ethical AI practices across Commercial.
  • Build organizational capability by mentoring future leaders and developing technical talent.

Innovation & Thought Leadership

  • Continuously evaluate emerging AI technologies, industry trends, and external innovations to identify opportunities that create competitive advantage.
  • Represent Commercial Data Science across enterprise initiatives and external collaborations.
  • Foster experimentation while ensuring successful transition from proof-of-concept to enterprise-scale deployment.
What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications.

Basic Qualifications:

Doctorate degree and 3 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field

OR

Master's degree and 7 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field

OR

Bachelor's degree and 9 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field

OR

Associate's degree and 12 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field

OR

High school diploma / GED and 14 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field

In addition to meeting at least one of the above requirements, you must have a minimum of 3 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources. Your managerial experience may run concurrently with the required technical experience referenced above

Preferred Qualifications:

Leadership

  • 5+ years leading cross-functional AI, analytics, or data science initiatives that delivered measurable business outcomes.
  • 3+ years of people leadership experience, including coaching and developing technical talent.
  • Demonstrated success influencing executive stakeholders and driving organizational change.

AI & Analytics Strategy

  • Deep understanding of AI, Machine Learning, Generative AI, optimization, causal inference, and modern data science methodologies.
  • Experience developing enterprise AI strategies and managing portfolios of analytical products.
  • Proven ability to translate business priorities into scalable analytical solutions.

Commercial Business Acumen

  • Bio/Pharmaceutical commercial experience strongly preferred.
  • Experience supporting Commercial strategy, omnichannel engagement, customer targeting, market access, patient analytics, or field effectiveness.
  • Strong understanding of healthcare data including claims, specialty pharmacy, EMR, and commercial datasets.

Technical Leadership

  • Experience providing technical direction for cloud-based AI platforms including Databricks, AWS, Azure, or similar technologies.
  • Strong understanding of MLOps, AI product lifecycle management, model governance, and production deployment.
  • Previous hands-on programming experience in Python, R, Scala, Java, or similar languages with the ability to guide technical solution design rather than serve as the primary developer.

Communication

  • Strong presence with the ability to simplify complex analytical concepts into strategic business recommendations.
  • Excellent written, verbal, and presentation skills.
  • Demonstrated ability to influence without authority across diverse stakeholder groups.
What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.
Apply now and make a lasting impact with the Amgen team.careers.amgen.com

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Application deadline

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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Salary Range

194,636.40USD -263,331.60USD