BioSpace, Inc.
Visual Data Analyst - Developer
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.
The Advanced Analytics and Data Sciences (AADS) team brings the power of data and advanced analytic capabilities such as artificial intelligence, machine learning, visual analytics and predictive analytics to identify and solve high-value business questions.
ResponsibilitiesPartner with business/research teams to identify, scope, and execute visual analytics efforts that answer business/scientific questions and deliver value to patients.Maintain a broad understanding of the pharmaceutical business and be fully engaged with business/research teams, bringing an objective voice to the table and facilitating decisions grounded in visual analytics and data science.Collaborate with other analytics team members to review and provide feedback on the analytics being done and be willing to seek feedback from other team members about your own work.Stay current with respect to data science and visual analytics methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.Collaborate with others to design, develop and deploy enterprise-level analytics capabilities/solutions.Consult domain experts and elucidate workflows to incorporate advanced analytics in tools for users with no background in data science.Ability to influence people to adopt innovative data visualizations and methods.Communicate results effectively using data story telling techniques.Basic Qualifications
PhD in Statistics, Biostatistics, Computer Science, Engineering, or a related field ORM.S. in one of the above fields plus 5+ years in the industryProficiency with web-based data visualization using d3 and analytics languages like R and Python.Additional Skills/Preferences
Understanding of advanced analytics in statistics and machine learningAdvanced knowledge of visual analytics algorithms like force directed graph and network diagrams.Proficiency with grammar of graphics and data story tellingInternal or external consulting experienceAgility and flexibility to work with very diverse problems and business partnersAbility to work with diverse data sources and data typesSelf-management skills with a focus on results for timely and accurate completion of competing deliverable
Additional Information
* When applying please attach or submit a link to your portfolio of work
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 Advanced Analytics and Data Sciences (AADS) team brings the power of data and advanced analytic capabilities such as artificial intelligence, machine learning, visual analytics and predictive analytics to identify and solve high-value business questions.
ResponsibilitiesPartner with business/research teams to identify, scope, and execute visual analytics efforts that answer business/scientific questions and deliver value to patients.Maintain a broad understanding of the pharmaceutical business and be fully engaged with business/research teams, bringing an objective voice to the table and facilitating decisions grounded in visual analytics and data science.Collaborate with other analytics team members to review and provide feedback on the analytics being done and be willing to seek feedback from other team members about your own work.Stay current with respect to data science and visual analytics methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.Collaborate with others to design, develop and deploy enterprise-level analytics capabilities/solutions.Consult domain experts and elucidate workflows to incorporate advanced analytics in tools for users with no background in data science.Ability to influence people to adopt innovative data visualizations and methods.Communicate results effectively using data story telling techniques.Basic Qualifications
PhD in Statistics, Biostatistics, Computer Science, Engineering, or a related field ORM.S. in one of the above fields plus 5+ years in the industryProficiency with web-based data visualization using d3 and analytics languages like R and Python.Additional Skills/Preferences
Understanding of advanced analytics in statistics and machine learningAdvanced knowledge of visual analytics algorithms like force directed graph and network diagrams.Proficiency with grammar of graphics and data story tellingInternal or external consulting experienceAgility and flexibility to work with very diverse problems and business partnersAbility to work with diverse data sources and data typesSelf-management skills with a focus on results for timely and accurate completion of competing deliverable
Additional Information
* When applying please attach or submit a link to your portfolio of work
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