Evidation measures health in everyday life and enables anyone to participate in groundbreaking research and health programs. Built upon a foundation of user privacy and control over permissioned health data, Evidation's Achievement platform is trusted by millions of individuals—generating data with unprecedented speed, scale, and rigor. We partner with leading healthcare companies to understand health and disease outside the clinic walls. Guided by our mission to enable and empower everyone to participate in better health outcomes, Evidation is working to bring people individualized, proactive, and accessible healthcare—faster.

We’re looking for a technical leader who can help shape how we collect and use real-world data to improve clinical outcomes. Our work lies at the intersection of many diverse fields including machine learning, signal processing, and epidemiology, and in this role you will be managing a team of data scientists on how harness vast amounts of time series data from wearables, sensors, and other mobile data to infer changes in health status and disease progression over time. The ideal candidate will have direct experience with people management, and hands-on experience in the design and analysis of data to support clinical study endpoints. We value problem-solving skills and an attitude towards learning. We seek a leader who puts people first, communicates with clarity, and drives quality and accountability in their team.

RESPONSIBILITIES 

• Manage and drive functional vision and priorities within a team of data scientists with diverse backgrounds and technical skills. Through this team, lead the design, execution and analysis of clinical studies for both client and internal research projects
• Identify opportunities, define process and optimize workflows within the team
• Manage issues and implement programs that ensure functional excellence across the organization
• Work autonomously to lead, define strategy, and execute on initiatives with high business impact. 
• Leads cross-functional discussion, planning and execution of complex programs
• Mentors and coaches more junior team member with diverse backgrounds to drive learning and engagement
• Communicate findings, roadblocks and timelines cross-functionally to ensure program objectives are met 
• Promote and drive accountability to ensure the team maintains the highest level of rigor and develop best practices to build reproducible, generalizable, fair, unbiased, and preferably interpretable models.

QUALIFICATIONS 

Minimum Qualifications: 

• PhD or Masters in epidemiology, biomedical engineering, electrical engineering, or related discipline (MD + masters ok) 
• 4+ years experience in health data science or related field(s)
• Direct people and/or program management experience
• Working knowledge and experience with analysis methodologies ( e.g., ANCOVA, panel regressions, and mixed effect models)
• High level of motivation and willingness to learn and adopt new tools and ideas. Health Data Science is a nascent field where methods and concepts are quickly evolving

Preferred Qualifications:

• Proficiency in Python, Matlab, or R
• Understanding of statistics: significance tests, source of biases, mixed effect models, experiment design.
• Understanding of causal inference tools: SEM, causal path diagrams
• Experience with extracting features from wearable data

BENEFITS 

• Health, dental, and vision benefits for you and competitive coverage for your family
• Relocation support
• Equity
• Flexible work hours
• Open vacation policy - take time when you need it
• Support for remote work when needed
• Relaxed work environment
• Your choice of computing equipment and gear
• Lots of opportunities for growth
• Opportunity to work on fascinating challenges that improve people’s lives

EVIDATION HEALTH VALUES DIVERSITY AND IS COMMITTED TO EQUAL OPPORTUNITY FOR ALL PERSONS WITHOUT REGARD TO RACE, COLOR, CREED, RELIGION, MARITAL STATUS, AGE, NATIONAL ORIGIN OR ANCESTRY, POLITICAL ACTIVITY OR AFFILIATION, PHYSICAL OR MENTAL DISABILITY, MEDICAL CONDITION INCLUDING GENETIC CHARACTERISTICS, MARITAL STATUS, SEXUAL ORIENTATION, GENDER IDENTITY, SEX OR GENDER.