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Chief Engineer-Digital Biomarkers

49538
Chief Engineer-Digital Biomarkers
Cambridge
Massachusetts
United States
North America
Local
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. #WeAreLilly
The Lilly Innovation Center in Cambridge, Massachusetts allows Lilly to explore how next generation therapeutic ecosystems, connected solutions, and data analytics can improve patient health while reducing the clinical, psychosocial and economic burden that is systemic throughout healthcare today. Our team in Cambridge shares a passion for challenging conventional wisdom and creating an environment that embraces prioritizing high-risk, breakthrough and disruptive concepts. The Center provides the innovators dream: a startup-like operating environment with large company support. We are located in the core of Massachusetts’s exploding science and technology cluster, walking distance to some of the best academic and industry innovators in the world. The Center has been designed to cultivate collaborative drug, device and technology research across all of Lilly’s therapeutic areas.

Technology continues to transform every aspect of society, including healthcare. Lilly sees digital as an extension of our medicines, not just a marketing tactic. We, as consumers, have come to expect digital experiences to augment and support our experiences with medicines – especially to help reduce the burden of coping and managing through chronic disease for us, our loved ones and health care providers. Hence, Lilly’s Digital Health team is committed to exploring how the next generation therapeutic ecosystems, connected solutions, and data analytics can transform the customer (patients, health care providers and payers) experience, demonstrate value, and most importantly – improve patient outcomes.

We are seeking a Chief Engineer-Digital Health to join the Translational Technology & Innovation (TT&I) team within the Digital Health organization. Are you an expert with the ability to enable the realization of TT&I’s scientific agenda? Are you seeking an opportunity to lead a highly technical team composed of biomedical engineers, full stack developers, and sensors consultants? Does this sound like your ideal role? Keep reading to find out more.

As a Chief Engineer, you will oversee the verification process of novel / emerging technologies (e.g., devices, and sensors), development of a physical “sensors lab” to aid in the verification of novel / emerging technologies, early biomarker identification from various data assets, and development of proof-of-concepts (PoCs). In addition, you will closely collaborate with TT&I’s clinical operations, data lab registry, and medical research teams by providing technical input, as necessary, across all TT&I study initiatives, helping evaluate digital biomarkers (dBMs) hypotheses, and helping to develop and refine the dBMs identification strategy.

This role has the unique opportunity to influence Lilly’s product development process through the implementation and identification of dBMs.

Strategy & Capability Development
  • Act as a technical subject matter expert in the application of novel / emerging technologies to conduct dBMs related studies
  • Oversee development and propagation of best practices for identification and validation of dBMs using novel / emerging technologies
  • Provide business case development support as required
Partnership Management
  • Define, implement, and manage the technical portion of external partners providing novel / emerging technology (e.g., sensors), data analytics, or proof-of-concept support
  • Collaborate closely with the Clinical Operations & Data Registry team to evaluate the technical capabilities of potential partners considered for study execution
  • Define and establish partnerships with academic institutions and industry organizations to further define, inform, and improve Lilly’s technologies and processes that enable dBMs identification
Sensor Verification
  • Accountable for the design, development, and implementation of a physical “sensors lab” for novel / emerging technologies and algorithm verification and calibration
  • Oversee development, standardization, and implementation of a novel / emerging technologies verification program (i.e., check reliability, accuracy, precision, and ease-of-use)
  • Oversee development of recommended usage guidelines for verified novel / emerging technologies
  • Collaborate with privacy, legal, cybersecurity, regulatory, legal, and compliance teams to appropriately use verified novel / emerging technologies and their data output
Early Biomarker Identification
  • Collaborate with the Clinical Operations & Data Registry team to define the data lab registry and dBMs strategy
  • Provide deep technical guidance to the Clinical Operations & Data Registry Lab team regarding best practices for usage of novel / emerging technologies in dBMs studies
  • Lead and accountable for all data analyses efforts done by TT&I biomedical engineering team, which is expected to serve the needs of multiple cross-therapeutic area projects executed simultaneously
  • Oversee translation of physiologic functions captured from large amounts of continuously generated sensor data collected from an array of wearables / apps in measurable metrics used in dBMs studies
  • Collaborate with Advanced Analytics & Data Sciences team (AADS), as necessary, to produce, review, challenge, validate, and consolidate study results from dBMs studies conducted by the Clinical Operations & Data Registry Lab teams
Study PoC Development
  • Accountable for the development, maintenance, and life-cycle management of all study specific PoCs
  • Collaborate with 3rd party providers and internal digital health teams to develop study specific PoCs, which would be the primary form of data collection during the dBMs studies
  • Collaborate and coordinate with TT&I scientific, clinical operations teams, and development teams to obtain appropriate technical and study requirements for PoC development
  • Develop best-practices / mechanisms to quickly ramp-up study specific PoCs (e.g., modular architecture), transfer study specific PoCs to appropriate DH teams for scale and further development, if and when appropriate, or close the specific PoC (e.g., shutting down a study app and appropriately removing all collected patient data)
Reporting
  • Assist in preparation of appropriate reports and presentations to the DH executive committee
  • Act as the technology interface with technical partners
49538BR
  • PhD degree in a scientific or engineering discipline
  • 10+ years of experience in development, modeling, analytics or technical innovation
  • 5+ years of experience with digital sensing including sensor design, development and testing
  • Strong and in depth understanding of human physiology
  • Strong computer and microcontroller programming skills
  • Have a cutting-edge understanding of latest technologies and trends in identification of digital biomarkers
  • Startup or startup-like experience is highly preferred
  • Maker and self-starter mentality and demonstrated experience
  • Working knowledge of data processing and visualization tools to analyze complex data sets
  • Experience in developing and executing research studies for digital biomarker discovery and validation
  • Demonstrated scientific authorship skills
  • Experience developing lab testing facilities
  • Demonstrated experience leading cross-functional, complex project teams and innovation projects
  • Demonstrated experience leading process improvements and transformation efforts
  • Excellent communication, interpersonal and team building skills (e.g., effective coaching and feedback)
  • Excellent self-management and organizational skills. Able to manage a diverse workload, set personal and team priorities and adjust as needed
  • Must be able to manage working with a large number of different teams with varying styles, issues, complexity, and in a virtual manner as needed
  • Strong problem-solving, risk management and decision skills. Able to anticipate and recognize problems, diagnose root causes, solve unique and complex problems
  • Strong ethics, patient-focused approach and ability to earn credibility and trust
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