Advisor - Data Scientist - Advanced Analytics and Data Science

Eli Lilly and Company; Indianapolis (IN); On-site; USD 80,000 - 140,000; Full time

Job summary

Join a global healthcare leader as a Data Scientist, where you'll harness the power of data to drive impactful business decisions. In this role, you will analyze complex datasets, develop predictive models, and leverage generative AI to uncover insights that enhance healthcare solutions. You will collaborate with cross-functional teams, ensuring that your findings are communicated effectively to both technical and non-technical stakeholders. This is an exciting opportunity to be at the forefront of data science in healthcare, making a difference in people's lives while working in a dynamic and innovative environment. If you're passionate about using data to solve real-world problems, this role is for you!

Qualifications

• Ph.D. or Master's degree in a quantitative field with relevant experience.
• Proficiency in Python or R and machine learning algorithms.

Responsibilities

• Analyze complex data sets and develop predictive models.
• Collaborate with teams to provide data-driven solutions.

Skills

Python

R

Machine Learning Algorithms

Statistical Modeling

Data Visualization

Analytical Skills

Problem-Solving Skills

Communication Skills

Attention to Detail

Education

Ph.D. in Statistics, Computer Science, Applied Mathematics

Master in Statistics, Computer Science, Computer Engineering

Tools

AWS

Azure

Job description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Organization Overview:

At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives.

Main Attributes:

• Strong analytical skills
• Problem-solving skills
• Excellent communication skills
• Attention to detail

What You'll Be Doing:

As a Data Scientist, you will be responsible for analyzing complex data sets, developing predictive models, leveraging generative AI, and identifying insights that can be used to drive business decisions. You will work closely with cross-functional teams across the enterprise to understand business problems, develop hypotheses, and test those hypotheses with data.

How You'll Succeed:

• Develop and implement machine learning algorithms to analyze large data sets
• Collaborate with stakeholders to understand business problems and provide data-driven solutions
• Communicate insights and recommendations to technical and non-technical stakeholders
• Conduct research to identify emerging trends and technologies
• Manage and prioritize multiple projects simultaneously

Key Responsibilities:

• Solve complex business problems with advanced analytics and AI/ML methods
• Develop and implement predictive models
• Communicate insights and recommendations to stakeholders
• Collaborate with cross-functional teams
• Stay up-to-date with emerging trends and technologies in data science
• Ensure data quality and accuracy

What You Should Bring:

• Proficiency in programming languages such as Python or R
• Experience with machine learning algorithms and statistical modeling
• Familiarity with data visualization
• Strong problem-solving and analytical skills
• Excellent communication and presentation skills
• Ability to work in a fast-paced, collaborative environment

Your Basic Qualifications:

• Ph.D. in Statistics, Computer Science, Applied Mathematics focusing on Numerical Analysis, High Performance Computing, Operations Research, Physics, Engineering or quantitative related field
• OR Master in Statistics, Computer Science, Computer Engineering or related field with at least 4 years related working experience.
• Experience with machine learning algorithms and statistical modeling
• Proficiency in programming languages such as Python or R

Preferred Qualifications:

• Strong problem-solving and analytical skills
• Ability to work with diverse data sources and data types
• PhD in a relevant field
• Experience handling and analyzing clinical biomarker data and clinical trial data
• Experience working with time-series data
• Experience with reinforcement learning
• Familiarity with cloud computing platforms such as AWS or Azure
• Strong leadership and project management skills