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Research Scientist Informatics-Real World Evidence
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 39,000 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 Real World Evidence (RWE) Hub within the Medicines Development Unit (MDU) is responsible for working with business units and affiliates to improve individual patient outcomes through credible and timely real world evidence, thereby creating value for customers. The RWE Hub is a cross-functional hub hosted by GPORWE (in collaboration with IT, Biometrics, and Global Patient Safety) to enable enterprise-wide co-ordination of the data strategy, infrastructure & partnerships. The RWE Hub leads development of innovative RWE related capabilities and partners with RWE organizations throughout the enterprise (RWE Community) to differentiate Lilly in delivering RWE sources of value.
The RWE Informatics Research Scientist,”Research Scientist”, is responsible for designing and implementing solutions for the representation and optimal use of biomedical real world data (RWD) for problem solving and decision-making in drug development and in healthcare settings. The Research Scientist will help address the integration of clinical concepts and RWE insights by leveraging clinical, scientific, and technological expertise. The Research Scientist will collaborate with outcomes research and clinical teams to ensure the integration of business needs with clinical concepts and determine appropriate study design, data collection and statistical analysis, and interpretation and dissemination of results. The span of research is focused on all areas of Lilly’s business and healthcare decision-making ranging from (1) examining clinical and biologic or genomic information to support discovery of new therapies or guide basic science research, (2) using RWE data and analytic techniques to better enable drug development teams and (3) help Lilly provide evidence to healthcare decision-makers on the value and real world effectiveness of our products. The Research Scientist will design and build health information systems ensuring the valid representation of the clinical constructs in the tools, methodologies, existing RWE applications, and/or IT platforms that implement conceptual clinical models and protocols. The Research Scientist uses standardized processes to construct and test these solutions.
Clinical and Health Information
Provides leadership and expertise on clinical vocabularies, terminologies, or coding systems that are structured to describe unambiguously the care and treatment of patients. Terms cover diseases, diagnoses, findings, operations, treatments, drugs, administrative items etc., and can be used to support recording and reporting a patient's care at varying levels of detail for the valid production of RWE insights.
Supports Lilly scientists, physicians, and partners by providing continuous oversight of, troubleshooting for and identifying new improvements for RWE clinical and health information systems. Promotes future and present system functionality by designing, building, and testing RWE clinical and health information systems.
Remains informed on the latest trends and standards in the acquisition, representation, and delivery of RWE clinical and health information
Attends and influences in external forums and conferences dealing with the state of the art issues on clinical and health information, particularly as it relates to RWE.
Clinical and Health Information System Quality, Standards, and Delivery
Applies broad process/technology knowledge to implement enhanced capabilities for the RWE clinical and health information ecosystem and to ensure deliverables are consistent and accurate.
Contributes to the development, communication, and adherence to RWE clinical and health information standards and processes as it relates to clinical standards, tools and technology.
Develop best practices and global standardized business processes, as applicable, for RWE clinical and health information.
Ensure process and/or technology interfaces are optimized across the RWE clinical and health information ecosystem.
Marry deep scientific expertise with deep process and/or technology expertise, as applicable for RWE clinical and health information.
Health Information System Solutions
Proactively drive the use of data processes and tools to accelerate the development of a Lilly RWD & Insights Platform .. Brings greater value to the portfolio by anticipating issues and identifying opportunities for which RWE health information solutions can be applied.
Define, implement and be accountable for a lifecycle management strategy for RWE clinical and health information including that the structure, content and meaning, acquisition, storage, retrieval, interchange and representation of the RWE clinical and health information system are documented, well understood, and person-independent, and that Lilly is able to respond to questions from our business partners.
Continually seek and implement means of improving processes to reduce cycle time and decrease work effort to maximize the return of the investment (i.e. technology purchases, data strategies, etc.) of the RWE clinical and health information assets/domains managed
Understand the confidential nature of RWD, personal health information, and company information and take necessary steps to ensure its protection. This includes understanding various aspects of privacy as it relates to RWD and Protect Lilly.
Ensure that an appropriate confidentiality agreement is executed before disclosing confidential company information to outside parties.
Accept obligation on behalf of Lilly to ensure compliance that reflects the integrity of the company, including adherence to contracts outlining access, maintenance, use, and storage of data.
Advanced degree in Informatics and a related Clinical Discipline (e.g., MD, PharmD, PhD) is required.
1-5 years’ experience in healthcare and/or external health information or data management, specifically experience with the RWE Clinical and Health Information tools and analytics used.
Expertise with clinical vocabularies, terminologies, or coding systems that are structured to represent the care and treatment of patients. Terms cover diseases, diagnoses, findings, operations, treatments, drugs, administrative items etc., with examples being SNOMED, ICD, CPT, RXNORM, etc., .
Expertise with external health data and information standards for the structure, processing, and delivery of health information. This includes the issues of information representation and interoperability between systems.
Strong health informatics and programming skills. Excellent programming skills in SQL and JAVA and in web programming standards are required. Knowledge of and experience with a statistical package such as SAS or R. Knowledge of KNIME and Hadoop technologies (e.g. MapReduce, Flume, Hive, Pig, Spark Scala & Sqoop). Familiarity with overall Spark framework including spark core (e.g. SQL, Scala, ML). Knowledge of and some experience in one or more text mining technologies.
Capable of implementing epidemiological analysis methodologies in the RWE IT environment, and capable of performing system analysis to ensure accuracy and consistency of the implementation with the healthcare environment.
Expertise in foundational data archetypes of structured and unstructured RWD, including Electronic Medical Records (EMR), Healthcare Claims (e.g., Truven), National Center for Health Statistics (e.g., NHANES, MEPS), social media (e.g., Facebook, Twitter, etc.), disease community sites (e.g., Patients Like Me), EMR notes, and others emerging data sources related to healthcare.
Demonstrated experience in building analysis methods and systems toward processing, organizing, analyzing, and visualizing complex clinical data and information from disparate sources.
Demonstrated ability to understand and apply data flow, data quality, data interchange, data linkage, data mining, and data representation principles.
Strong interpersonal and leadership skills.
Excellent oral and written communication skills with ability to communicate complex technical issues to diverse audiences.
Demonstrated ability to effectively communicate with healthcare consumers and cross-functional business partners
Preference may be given to candidates with postdoctoral training or work experience in RWE research with focus on computational methods, tools, and databases utilized in health outcomes research.
Understanding of software development in research and production environments. Familiarity with writing queries (SQL) and working with databases. Ability to receive computer programs written by someone else (in any language), understand it, and make changes.
Ability to work with minimal supervision, innovative thinking with strong problem solving skills.
Strong business acumen.
Domestic and International travel may be required.
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.