BioSpace, Inc.
Advisor - Data Scientist - Advanced Analytics and Data Science
BioSpace, Inc., Indianapolis, Indiana, us, 46262
Job Details
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.
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. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.
Main Attributes:Strong analytical skillsProblem-solving skillsExcellent communication skillsAttention to detailWhat You'll Be Doing:
As a Data Scientist located at our corporate site in Indianapolis, IN, 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 setsCollaborate with stakeholders to understand business problems and provide data-driven solutionsCommunicate insights and recommendations to technical and non-technical stakeholdersConduct research to identify emerging trends and technologiesManage and prioritize multiple projects simultaneouslyKey Responsibilities:
Solve complex business problems with advanced analytics and AI/ML methodsDevelop and implement predictive modelsCommunicate insights and recommendations to stakeholdersCollaborate with cross-functional teamsStay up-to-date with emerging trends and technologies in data scienceEnsure data quality and accuracyWhat You Should Bring:
Proficiency in programming languages such as Python or RExperience with machine learning algorithms and statistical modelingFamiliarity with data visualizationStrong problem-solving and analytical skillsExcellent communication and presentation skillsAbility to work in a fast-paced, collaborative environmentYour Basic Qualifications:
Ph.D. in Statistics, Computer Science, Applied Mathematics focusing on Numerical Analysis, High Performance Computing, Operations Research, Physics, Engineering or quantitative related fieldOR 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 modelingProficiency in programming languages such as Python or RPreferred Qualifications:
Strong problem-solving and analytical skillsAbility to work with diverse data sources and data typesPhD in a relevant fieldExperience handling and analyzing clinical biomarker data and clinical trial dataExperience working with time-series dataExperience with reinforcement learningFamiliarity with cloud computing platforms such as AWS or AzureStrong leadership and project management skillsOther:
You will work at our Indianapolis Corporate LocationMust be willing to relocateWe work on a hybrid schedule
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women's Network, Working and Living with Disabilities. Learn more about all of our groups.
#WeAreLilly
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.
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. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.
Main Attributes:Strong analytical skillsProblem-solving skillsExcellent communication skillsAttention to detailWhat You'll Be Doing:
As a Data Scientist located at our corporate site in Indianapolis, IN, 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 setsCollaborate with stakeholders to understand business problems and provide data-driven solutionsCommunicate insights and recommendations to technical and non-technical stakeholdersConduct research to identify emerging trends and technologiesManage and prioritize multiple projects simultaneouslyKey Responsibilities:
Solve complex business problems with advanced analytics and AI/ML methodsDevelop and implement predictive modelsCommunicate insights and recommendations to stakeholdersCollaborate with cross-functional teamsStay up-to-date with emerging trends and technologies in data scienceEnsure data quality and accuracyWhat You Should Bring:
Proficiency in programming languages such as Python or RExperience with machine learning algorithms and statistical modelingFamiliarity with data visualizationStrong problem-solving and analytical skillsExcellent communication and presentation skillsAbility to work in a fast-paced, collaborative environmentYour Basic Qualifications:
Ph.D. in Statistics, Computer Science, Applied Mathematics focusing on Numerical Analysis, High Performance Computing, Operations Research, Physics, Engineering or quantitative related fieldOR 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 modelingProficiency in programming languages such as Python or RPreferred Qualifications:
Strong problem-solving and analytical skillsAbility to work with diverse data sources and data typesPhD in a relevant fieldExperience handling and analyzing clinical biomarker data and clinical trial dataExperience working with time-series dataExperience with reinforcement learningFamiliarity with cloud computing platforms such as AWS or AzureStrong leadership and project management skillsOther:
You will work at our Indianapolis Corporate LocationMust be willing to relocateWe work on a hybrid schedule
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women's Network, Working and Living with Disabilities. Learn more about all of our groups.
#WeAreLilly