Associate Director, Digital Health and AI

Location
United States
Posted
Nov 14, 2020
Ref
939146170
Required Education
Doctorate/PHD/MD
Position Type
Full time
Job Summary:

This position reports to the Head of Digital Health with a joint appointment to the Data Science team and will help oversee the execution of our AI based Digital Health initiatives. You'll (a) build out the strategy for AI and ML-based initiatives using clinical and digital health data, (b) execute AI-based initiatives from analytic and data structure standpoints, and (c) support partnership- based work related to these AI initiatives.

What you'll be doing:
  • Facilitate the execution of AI analyses that are medically relevant, scientifically valid and appropriately planned, and interfacing with the various functions of clinical trial and RWE initiative stakeholders for this AI work (clinical science, clinical operations, legal, contracting, etc.)
  • Scope, identify, select, and deliver AI tools to support the development programs across molecules at MyoKardia.
  • Partner in strategic planning and roadmap building for all aspects of MyoKardia's AI initiatives. Identify, manage and collaborate with medical device, consumer wearable, and algorithm development partners to deliver new real-world measures in patient's everyday lives.
  • Support the scientific interpretation of AI analyses
  • Partner with KOLs and the academic / medical community to gain broader perspective on the impact, value and opportunities of our studies.
  • Work with development, research, commercial and marketing organizations to ensure deep understanding of target diseases, marketing and commercial opportunities to focus digital health study outcomes.
  • Contribute as a member of a high performing Digital Health team that effectively implements a Digital Health strategy that is integrated and aligned with key internal stakeholders.
  • Collaborate with Data Science group to integrate state-of-the-art AI tools and methodologies to advance the development of novel digital endpoints and data interpretation

Education/Experience:
  • PhD, MD, MBA, MPH with experience in creating AI programs, including leading the development and analysis of data using AI methodologies, and deploying health AI solutions in a complex organization. Will consider other backgrounds with significant digital health experience.
  • Prefer experience with AI work in the healthcare space and facility with AI methods including DNN, CNN, and ML-based approaches.
  • Good understanding in biotech or pharmaceutical development organization.
  • Experience managing cross functional teams and vendors in the implementation of systems or programs supporting clinical trials, trial sites, and/or patients.

Additional Requirements

Must thrive in fast-paced environment, be highly organized, and be able to multitask. Excellent communication and interpersonal skills. Demonstrated ability to work as a key member of a team. Strong analytical and problem-solving skills. Detail oriented. Excellent understanding of how to incorporate digital health strategies into company's long-term growth.

  • Collaboration/Relationship Management: Ability to effectively collaborate in and across multiple functions, and with internal and external stakeholders of various backgrounds and skill sets. Skilled in establishing a collaborative and respectful environment.
  • Influencing: Demonstrated ability leading a matrixed team through influence. Proven track record of influence strategy, initiative(s) implementation, and decision-making. Proactively influences and motivates others to achieve objectives.
  • Decision Making: Strong decision-making skills taking multiple perspectives into account and analytical skills are required; exercises sound business judgment that has broad organizational impact.
  • Communication: Excellent communication skills (both orally and written) is critical to the success of the role.
  • Organizational Excellence: Good at developing the processes necessary to get things done, knows how to organize people and activities, and knows what to measure and how to measure. Demonstrated ability to interpret data into actionable items
  • Negotiation: Proven negotiation skills that effectively drive discussions and decisions to desired end-results that have broad organizational impact.
  • Alignment: Proven track record of achieving alignment with internal and external stakeholders