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

Data Scientist

Chicago, IL · On-site

$110K - $140K/yr

Position Reports To : VP of Data Science Salary Range : $110K to $140K Location : Remote Based (U.S ... biotechnology, diagnostics, and medical technology companies. You'll help generate evidence that ...

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 ...

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Showing results 1-20

Flex Biotech Data Science information

What is a Flex Biotech data scientist?

A Flex Biotech Data Scientist is a professional who applies data science and analytical techniques within the biotechnology sector, often in flexible or cross-functional roles. They analyze large sets of biological and clinical data to support research, development, and innovation in biotech companies. Flex roles may involve working on various projects, collaborating with interdisciplinary teams, and utilizing skills in programming, statistics, and biology. Their work helps drive discoveries, optimize experiments, and improve decision-making processes in the biotech industry.

How do Flex Biotech data science professionals typically collaborate with laboratory and research teams?

Flex Biotech Data Science professionals often work closely with laboratory scientists and research teams to interpret experimental data, refine data collection methods, and translate complex results into actionable insights. This collaboration involves regular meetings to discuss ongoing projects, sharing data findings, and providing statistical expertise to optimize research outcomes. Effective communication and a solid understanding of both computational and biological concepts are essential for bridging the gap between data science and laboratory work.

What are the key skills and qualifications needed to thrive as a Flex Biotech data scientist, and why are they important?

To thrive as a Flex Biotech Data Scientist, you need a strong background in biology, statistics, and data analysis, typically supported by a degree in bioinformatics, computational biology, or a related field. Expertise in programming languages (such as Python or R), experience with bioinformatics tools, and familiarity with platforms like SQL databases and machine learning frameworks are essential. Strong problem-solving skills, collaboration, and the ability to communicate complex findings to non-technical stakeholders make candidates stand out. These skills are crucial for extracting actionable insights from complex biological data, driving innovation, and supporting research and development in biotech environments.

What is the difference between Flex Biotech Data Science vs Flex Biotech Data Analysis?

AspectFlex Biotech Data ScienceFlex Biotech Data Analysis
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams in biotech or healthcare companies, often involving complex data modelingOperational settings focusing on data reporting, visualization, and supporting decision-making
Employer & Industry UsageUsed in biotech firms, pharmaceutical companies, and research institutionsCommon in biotech companies, healthcare providers, and research organizations

Flex Biotech Data Science roles focus on developing predictive models and advanced analytics, requiring programming skills and a strong statistical background. Flex Biotech Data Analysis positions emphasize interpreting data, creating reports, and supporting business decisions with less emphasis on coding. Both roles are vital in biotech but differ in technical complexity and responsibilities.

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:

Associate Director, Commercial Data Science

Amgen

Deerfield, IL

$60K - $60K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 10 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