Senior Associate – Clinical Data Analytics

Company:   Eli Lilly

Industry:- Private

Employment Type:-  Full-time

Work Hours:-  8 Hours

Locations:- USA

Full 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:

Loxo@Lilly aims to create medicines that make life better for all those affected by cancer around the world. Bringing together the focus and spirit of biotech with the scale, resources, and heritage of Lilly, our team is focused on rapidly delivering impactful new medicines for people with cancer. Our approach centers on creating oncology medicines that unequivocally show early signs of clinical activity and will matter to patients. We intend to curate a balanced pipeline of medicines, either internally or externally discovered, with the potential to treat cancer with dramatic effect. Loxo@Lilly was created in December 2019, combining the Lilly Oncology organization and Loxo Oncology, which was acquired by Lilly in early 2019. Loxo@Lilly is a global organization with team members in Louisville, Colorado; Indianapolis, Indiana; New York City, New York; San Diego, California; South San Francisco, California; Stamford, Connecticut; and Madrid, Spain.

The Clinical Data Analytics Associate is responsible for programming and testing clinical trial data reports/listings, dashboards, and analytics. This requires an in-depth understanding of data programming, testing, data technology, data flow, and data standards. The Clinical Data Analytics Associate collaborates with the Clinical Data Management Associate, Clinical Data Associate, and other key stakeholders to deliver standardized reports, dashboards, and innovative analytics for use in study deliverables for global clinical trials.

The ideal candidate will have varied experience in electronic data collection technologies, such as Veeva EDC, Medidata Rave, Oracle InForm, etc., as well as an in-depth knowledge of programming tools as a representative of data and analytics processes across functional initiatives.

Roles and Responsibilities of the Position:

  • Program and test data reporting, dashboarding, and analytics for a trial or set of trials within a program using a data standards library
  • Ensure data reporting and analytics are delivered accurately, efficiently, and in alignment with study objectives
  • Provide insights into study-level deliverables (i.e. Data Management Plan, Project Plan, database, and observed datasets)
  • Support submission, inspection, and regulatory response activities.
  • Increase speed, accuracy, and consistency in the development of reporting and analytic capabilities and deliverables
  • Partner with Clinical Data Management Associate to deliver data reporting and analytics per business need
  • Comply with data standard decisions and strategies for a study and/or program
  • Utilize therapeutic knowledge and possess a deep understanding of the technology to develop data reports and analytics
  • Continually seek and implement means of improving processes to reduce data reporting/analytics and decrease work effort
  • Represent Data and Analytics processes in cross-functional initiatives
  • Actively participate in shared learning across Data and Analytics organization
  • Work to Increase the re-usability of reports and analytics

Required Qualifications:

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  • Minimum Bachelor’s degree in Computer Science, Engineering, Statistics, Technical Science, or related field with 3-5 years of clinical experience in a pharmaceutical, biotech, CRO, or Regulatory agency.
  • Technical knowledge to develop requirements and/or study project deliverables
  • Programming languages – Industry tools and languages like Tableau, PowerBI, Python, SAS, ‘R’, and Shiny for reporting, metrics, and visualizations along with P-SQL, and T-SQL for DBMS.
  • Proven ability to work creatively and analytically in a problem-solving environment.
  • Quick learner of new trends in technology.
  • Excellent leadership, communication (written and oral), and interpersonal skills.

Additional Skills/Preferences:

  • Ability to work independently as well as in a team environment.
  • Project and Vendor management experience
  • Excellent time management skills and a proven ability to work on multiple projects at any given time in a fast-paced environment.
  • Demonstrated ability to stay abreast of trends and new information in the profession.

Senior Associate – Clinical Data Analytics