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. Lilly is currently constructing an advanced manufacturing facility for production of API molecules located in Lebanon, IN. This facility is Lilly's largest investment in manufacturing capacity and is intended to provide APIs for current and future products, including new modalities. This is a unique opportunity to be a part of the Lebanon Plant 1 (LP1) leadership team for the startup of a greenfield manufacturing site, and the successful candidate will help to build the organization, the facility and the culture to enable a successful startup into GMP manufacturing operations. Are you looking for an exciting opportunity to help start up a state-of-the-art facility and build a manufacturing supply chain from ground-up? We're looking for hardworking talent to join our team! The Supply Chain organization has responsibility for scheduling the manufacturing processes for Lebanon API site and supporting manufacturing with all inbound and outbound material flows. The Master Data Analyst plays a critical role within the organization by providing and maintaining the fundamental master data set residing in SAP and manufacturing execution systems (MES) to the site. The initial phase of the project will require extensive cross-functional work with procurement, quality, and warehouse operations to deliver an operational SAP/MES system. As the site transitions to the production phase, the team will also be involved in tracking supply chain metrics and driving continuous improvement. They will work closely with multiple teams across the site to manage data change requests, solve technical issues, and contribute to continuous improvement activities around Master Data. As a Master Data Analyst, you will: <ul><li>Develop and maintain key data and data design in SAP (Material Master, Bill of Materials, Recipes, Resource, Purchasing-Info Records and Warehousing) and associated systems</li><li>Create and maintain Standard Operating Procedures (SOPs) and training materials</li><li>Ensure global data consistence and conformance to SOPs while running master data updates due to process or system changes.</li><li>Serve as a key member of the SAP Implementation Project Team during the greenfield site construction/startup phase.</li><li>Contribute to global initiatives for Master Data Management, as required, and attend select Power User forums to share best practices with peers</li><li>Generate OSSCE (Operational Standards for Supply Chain Excellence) metrics and Pareto analyses</li><li>Drive process improvement initiatives which could include:</li><li>Developing and maintaining DSP flows, using appropriate tools / reports to track maintenance efforts, data accuracy, and data completeness</li><li>Contribute in annual standard costing assessment in readiness for Business Planning and drive the annual review of planning data</li><li>Troubleshoot SAP or MES execution problems, identify root causes, and implement solutions</li><li>Investigate deviations and provide impact assessments for change management</li><li>Maintain a safe workplace through proper ergonomic practices</li><li>Maintain a state of compliance (learning plan, SOP adherence, etc.)</li></ul> Minimum Requirements: <ul><li>Bachelor's degree in relevant field or</li><li>High-school diploma with 5+ years relevant SAP work experience</li></ul> Additional Preferences: <ul><li>SAP / Master Data experience in Material Master creation and maintenance</li><li>Knowledge / Experience in Manufacturing, Packaging, and/or Customer Service</li><li>Strong organizational and Project Management skills</li><li>Strong ability to collaborate, communicate and build positive relationships</li><li>Dedicated to providing exceptional customer experiences</li><li>Proficient in using MRP systems, SAP software, and advanced Excel functions for data analysis and reporting</li></ul> Other Information: <ul><li>8 hour work days - Monday through Friday</li><li>May need to be available off shift and respond to operational issues as-needed</li><li>Minimal travel required (<5%)</li></ul> Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively "Lilly") are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. 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. The Biotechnology Discovery Research Division in San Diego plays a crucial role in generating, characterizing, and optimizing biotherapeutics from hit generation through lead optimization and preclinical development. We support cross-disciplinary efforts to engineer innovative biotherapeutics that treat metabolic, autoimmune, oncologic, and neurologic diseases. We are seeking a self-motivated, collaborative Data Scientist to join the growing team. In this role, you will utilize your data analytics expertise to analyze multi-dimensional data generated from our high-throughput experimentation labs. Your insights will significantly impact decision-making, aiding the rapid discovery and optimization of novel therapeutic proteins. Responsibilities <ul><li>Curate and organize diverse data types, including activity/function, structure-activity relationship, biophysical characterizations, sequences, concerning both structured and unstructured data.</li><li>Utilize statistical models and machine learning algorithms to identify patterns and trends relevant to antibody discovery and protein and peptide engineering.</li><li>Effectively communicate data insights to project teams and stakeholders.</li><li>Partner with experimental scientists to guide the design of data generation and data capture strategies, aligned with ML objectives.</li><li>Maintain close collaboration with internal IT professionals to ensure seamless integration of data science solutions.</li><li>Keep abreast of the latest trends and technologies in data science. Proactively initiate efforts that contribute to organizational goals.</li></ul><ul><li>Actively engage in the external environment and contribute to the field through scientific publications and presentations.</li></ul> Basic qualifications <ul><li>PhD degree, or Master degree with at least 3 years relevant experience, in computational biology, computer science, bioinformatics, or a related discipline.</li><li>Experience in programming languages/tools (Python, R, etc).</li></ul> Preferred qualifications: <ul><li>At least 3 years of experience in data science and advanced analytics for antibody discovery and protein engineering is highly desirable.</li><li>Demonstrated success in applying data science to therapeutic protein applications, as evidenced by a strong publication record.</li><li>Proficiency in data curation, data processing, database programming, and data mining.</li><li>Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.</li><li>Excellent written and oral communication skills, including an ability to explain complex ideas to scientists with diverse backgrounds.</li><li>Strong collaborative skills and proven ability to work with cross-functional teams.</li></ul> Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively "Lilly") are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. 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.The Biotechnology Discovery Research Division in San Diego plays a crucial role in generating, characterizing, and optimizing biotherapeutics from hit generation through lead optimization and preclinical development. We support cross-disciplinary efforts to engineer innovative biotherapeutics that treat metabolic, autoimmune, oncologic, and neurologic diseases.We are seeking a self-motivated, collaborative Data Scientist to join the growing team. In this role, you will utilize your data analytics expertise to analyze multi-dimensional data generated from our high-throughput experimentation labs. Your insights will significantly impact decision-making, aiding the rapid discovery and optimization of novel therapeutic proteins.ResponsibilitiesCurate and organize diverse data types, including activity/function, structure-activity relationship, biophysical characterizations, sequences, concerning both structured and unstructured data.Utilize statistical models and machine learning algorithms to identify patterns and trends relevant to antibody discovery and protein and peptide engineering.Effectively communicate data insights to project teams and stakeholders.Partner with experimental scientists to guide the design of data generation and data capture strategies, aligned with ML objectives.Maintain close collaboration with internal IT professionals to ensure seamless integration of data science solutions.Keep abreast of the latest trends and technologies in data science. Proactively initiate efforts that contribute to organizational goals.Actively engage in the external environment and contribute to the field through scientific publications and presentations.Basic qualificationsPhD degree, or Master degree with at least 3 years relevant experience, in computational biology, computer science, bioinformatics, or a related discipline.Experience in programming languages/tools (Python, R, etc).Preferred qualifications:At least 3 years of experience in data science and advanced analytics for antibody discovery and protein engineering is highly desirable.Demonstrated success in applying data science to therapeutic protein applications, as evidenced by a strong publication record.Proficiency in data curation, data processing, database programming, and data mining.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.Excellent written and oral communication skills, including an ability to explain complex ideas to scientists with diverse backgrounds.Strong collaborative skills and proven ability to work with cross-functional teams.Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively 'Lilly') are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. 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#J-18808-Ljbffrby Jobble

Data Scientist - 1st Party Data page is loaded Data Scientist - 1st Party Data Apply locations India, Bengaluru time type Full time posted on Posted 7 Days Ago job requisition id R-60502 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. Were looking for people who are determined to make life better for people around the world.Eli Lilly Services India Pvt LtdBusiness Insights & Analytics First Party Data: Data ScientistAbout the team:As Eli Lilly strives to achieve its purpose of making life better for patients, we have been building up our in-house Consumer Experience function, which will design and execute next-generation digital marketing campaigns aimed at informing and educating consumers (or patients) directly.To support the Consumer marketing teams in their decision-making, a data and analytics team has been set up in Indianapolis (HQ) and Bengaluru (LCCI). This team uses works closely with business stakeholders to enable them to make more informed, data driven decisions. A key area of expansion for the team in 2024 is to help facilitate the implementation of a CDP (customer data platform). As part of this team, we are excited to offer the role of a data scientist who will be an integral part of the implementation and scaling of this CDP.Core Responsibilities:Use Applied statistics, Machine Learning and Deep learning techniques and build models to answer business questions at the intersection of the pharmaceutical and digital marketing spaces to provide value to marketing and media teams.Use statistical and machine learning techniques to analyze customer data within the CDP.Implement predictive models to make real-time decisions with the CDP.Build and maintain deep knowledge of the continuously evolving digital marketing landscape.Continuous learning and experimenting new with possibilities for consumer marketing analytics.Collaborate with cross functional teams and external consultants to help review or translate this work to other team members.Stay current with respect to statistical/mathematical modelling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.Required2-6 years of relevant experience.Demonstrated in-depth hands-on experience in building models using statistical (Regression, Clustering, Causal Inference, Time series Analysis), ML modelling techniques (Gradient boosting trees, Support Vector Machine, KNN) and Deep Learning (RNNs, LSTM, Transfer learning-based object detection, NLP)Proven experience working with Customer Data Platforms (CDP) or Data Management Platform (DMP) or CRM tool is preferred.Strong prior experience in data science projects from start to finish (including ideation, data exploration, modelling for prediction AND inference and results generation)Highly Proficient in R and Python and Either one of deep learning frameworks Keras/PyTorchGood to have - Ability to write basic SQL.Creative problem solving, attention to detail, flexibility and adaptability.Comfort with ambiguity and a willingness to work with a high degree of autonomy.Demonstrated ability to meet deadlines while managing multiple large-scale projects in a fast-paced and rapidly changing environment.Strong interpersonal communication skills (written and verbal)Preferred QualificationsExperience working with digital data for Healthcare/Retail/BFSI/Digital native companiesFamiliarity with cloud technology and AWS services for analyticsFamiliarity with Machine Learning Productionization workflows Docker containers etcEducation:PhD / Masters degree in technology, statistics, econometrics, operations research or computer science from top educational institutes (IITs / IISc)Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively Lilly) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.Lillydoes 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.#WeAreLillySimilar Jobs (11) Data visualization - Associate Consultant locations India, Bengaluru time type Full time posted on Posted 30+ Days Ago Lead Consultant - Data Scientist locations India, Bengaluru time type Full time posted on Posted 30 Days Ago Associate NE Hub locations India, Bengaluru time type Full time posted on Posted 9 Days AgoAt Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world.How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people.We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe!#J-18808-Ljbffrby Jobble

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 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. Lilly is currently constructing a cutting edge facility for the manufacture of new modalities including Gene Therapy in Lebanon, Indiana. This facility will be Lilly's most technically advanced manufacturing site focused on the delivery of the next wave of innovative products at Lilly. It will include next-generation manufacturing technologies and advanced data collection and analysis platforms that will deliver improvements in safety, quality, and process performance. This is a unique opportunity to be a part of the team for the startup of a greenfield manufacturing site, and the successful candidate will help to start up the facility for both clinical and commercial supply. This is an exciting opportunity to help start up a state-of-the-art facility and build a manufacturing supply chain from ground-up. The Supply Chain organization has responsibility for scheduling the manufacturing processes for Lebanon Advanced Therapies site and supporting manufacturing with all inbound and outbound material flows. The Master Data Analysts play a critical role within the Supply Chain organization by providing and maintaining the fundamental master data set residing in SAP and manufacturing execution systems (MES) to the site. The initial phase of the project will require extensive cross-functional work with procurement, quality, and warehouse operations to deliver an operational SAP/MES system. As the site transitions to the production phase, the team will also be involved in tracking supply chain metrics and driving continuous improvement. They will work closely with multiple teams across the site to manage data change requests, solve technical issues, and contribute to continuous improvement activities around Master Data. Responsibilities: <ul><li>Develop and maintain key data and data design in SAP (Material Master, Bill of Materials, Recipes, Resource, Purchasing-Info Records and Warehousing) and associated systems</li><li>Create and maintain Standard Operating Procedures (SOPs) and training materials</li><li>Ensure global data consistence and conformance to SOPs while managing master data updates due to process or system changes.</li><li>Serve as a key member of the SAP Implementation Project Team during the greenfield site construction/startup phase.</li><li>Contribute to global initiatives for Master Data Management, as required, and attend select Power User forums to share best practices with peers</li><li>Generate OSSCE (Operational Standards for Supply Chain Excellence) metrics and Pareto analyses</li><li>Drive process improvement initiatives which could include developing process flows for setup of new materials and leveraging appropriate tools/reports to track maintenance efforts, data accuracy, and data completeness</li><li>Participate in annual standard costing assessment in readiness for Business Planning and drive the annual review of planning data</li><li>Troubleshoot SAP or MES execution problems, identify root causes, and implement solutions</li><li>Investigate deviations and provide impact assessments for change management</li><li>Maintain a safe workplace through proper ergonomic practices</li><li>Maintain a state of compliance (learning plan, SOP adherence, etc.)</li></ul> Basic Requirements: <ul><li>Bachelor's degree</li></ul> or <ul><li>high-school diploma with 5+ years relevant SAP work experience</li></ul> Additional Preferences: <ul><li>SAP / Master Data experience in Material Master creation and maintenance</li><li>Knowledge / Experience in Manufacturing, Packaging, and/or Customer Service</li><li>Strong organizational and Project Management skills</li><li>Strong interpersonal skills</li><li>Customer-oriented</li><li>Excellent Computer skills (e.g., MRP, SAP, Excel)</li></ul> Other Information: <ul><li>8 hour work days - Monday through Friday</li><li>May need to be available off shift and respond to operational issues as-needed</li><li>Minimal travel required (<5%)</li></ul> Qualified candidates must be legally authorized to be employed in the United States. Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position. Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively "Lilly") are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. 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

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Eli Lilly And Company Jobs

Associate Master Data AnalystsapMay 8, 2024

Ai Data EngineerApril 29, 2024

Data Scientist 1St Party DataApril 24, 2024

Advisor Sr Advisor Data Scientist BiologicsApril 23, 2024

Advisor Sr Advisor Data Scientist BiologicsApril 22, 2024

Data Analyst Quality Systems QualityApril 22, 2024

Data Scientist 1St Party DataApril 21, 2024

Master Data Analyst Advanced TherapiesApril 21, 2024