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Flex Biotech Data Science Jobs in Illinois (NOW HIRING)

Biotech Health Data Governance Lead (AI Training) About the Role What if your expertise in clinical ... This is a fully remote, flexible contract role built for experienced professionals in life sciences ...

The data science team consists of highly motivated and experienced data scientists and they are a ... dental, vision Flex hours, including occasional work from home Casual work environment A large ...

The data science team consists of highly motivated and experienced data scientists and they are a ... Flex hours, including occasional work from home • Casual work environment • A large variety of ...

This specific job role is designed to act as an SME (subject matter expert) for data science within ... Background and/or experience in the biotechnology, pharmaceutical, biology, or chemistry fields is ...

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Flex Biotech Data Science information

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.

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 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.

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 Illinois? The most popular types of Biotech Data Science jobs in Illinois are:
What cities in Illinois are hiring for Flex Biotech Data Science jobs? Cities in Illinois with the most Flex Biotech Data Science job openings:

Associate Director, Commercial Data Science

Amgen

Deerfield, IL

$60K - $60.50K/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 of Data Science within the Customer Data & Analytics team is accountable for the delivery of key AI/ML projects for the Data Science team within Amgen's commercial organization. In addition, the Associate Director will lead a team of data scientists to utilize advanced methodologies in AI/ML to craft and deploy bespoke solutions.

This position reports to the Senior Director, Commercial Data Science and will be responsible for the following activities within the CBU and IBBU brands:

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

  • Leads execution and delivery for Machine Learning and advanced analytics projects overseeing capabilities for predictive modeling, AI/ML,Gen AI, and other large-scale data modeling projects
  • Prototype and productionize advanced models using probabilistic time-series, deep learning, causal inference, reinforcement learning, agent-based simulation, and generative/agentic techniques
  • Lead Omnichannel media strategy aligning with brand objectives and driving impact
  • Provide day to day guidance for team of data scientists (both Sr and Jr members) in projects ranging from statistical analysis, predictive modeling and Generative AI
  • Develops, coaches, leads, and retains a dynamic, high-performing Data Science team delivering results, and gaining trust with stakeholders
  • Effectively communicates with key stakeholders on the impact, status and success of Data Science capability initiatives
  • Provides Data Science capability through relevant data science certifications and Biopharmaceutical industry expertise and direction to the CD&A organization
  • Maintain an awareness of current research and standard methodologies in the field of data analytics, including best practices in analytics
  • Primary point of contact forCommercial leaders to engage in AI/ML activities
  • Engages and communicates with key stakeholders on the impact, status and success of Data Science capability initiatives
What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The data and decision sciences 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:

  • Relevant data science experience and Bio/Pharmaceutical industry experience
  • Excellent leadership and management skills, with the ability to manage and develop a team of data scientists and analysts, 3+ years of direct people management experience
  • Experience in AI, Machine Learning, quantitative methods, multivariate statistics, predictive modeling and other analyticsframeworks/techniqueswith 5+ years of experience delivering complex analytical projects
  • Experience in Databricks and AWS (and other cloud technologies)
  • Advanced proficiency and hands on coding experience in Python/R/Scala/Java or any other Object-Oriented Programming language
  • Proficiency working with external claims data to understand patient journeys and conduct relevant analysis for therapeutic teams
  • Comprehensive understanding of the components of setting up data models in git based environment with CI/CD capabilities
  • Ability to cultivate and encourage an environment of openness and transparency in seeking diverse opinions and empower risk-taking in idea generation, idea incubation and/or experimentation
  • Partners with business leaders to deliver high-quality predictions that guide strategic decision making
  • Oral, written and presentation skills to explain complex concepts and controversial findings clearly to a variety of audiences, including senior management
  • Comfortable challenging the status quo and bringing forward innovative solutions
  • Understanding of technology platforms and ability to partner with IS/IT and business leaders both onshore and offshore
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

197,041.00 USD - 257,667.00 USD