Latest Jobs at mDoc

The Position

• We are looking for a candidate who is a clinician and an excellent public speaker as well as a writer. You will manage mDoc's woman's wellness programs inclusive of mental health, reproductive and maternal health.
• You are intellectually curious and therefore will harness evidence to help drive our women's clinical programs while ensuring we are generating and disseminating the evidence.
• You will work closely with the clinical leadership to refine the women's wellness clinical performance dashboard in concert with the data and engineering teams, product and project leads and coaches which we will use routinely to track our business development, partnership success, operational excellence, clinical/quality performance, patient engagement and experience and financial achievements.
• Given we are a technology firm, you will use digital tools to track, predict our success as well as manage our members. A keen interest and openness to working with technology are critical.
• Business acumen is also critical because we are focused on demonstrating that we can drive measurable large-scale impact while providing affordable high-quality self-care virtual support.

Responsibilities
You will:

• Plan and design woman's wellness programs including reproductive and maternal programs with a lens on generating and publishing evidence, proactively defining and monitoring progress in pursuit of measurable large-scale impact.
• Oversee a large team with an 80/20 view - the right mix of the big picture and granular oversight, supporting management and clinical teams to support the needs of members.
• Be strategic and laser-focused on building and expanding relationships with public and private partners understanding that our belief at mDoc is that collaboration within and across sectors is the only way to amplify the impact we have on people's lives.
• Build capability of the team so that data analytics are front and centre of all projects and real-time data is used to foster innovation, course-correct and ensure better service to our members.
• Work with the executive team on setting the strategy for women's wellness.
• Work with the management and associate team to develop project plans that ensure targets, milestones and goals are appropriately planned and achieved, and systems that ensure optimal oversight.
• Collaborate with clinical, product, tech, marketing and growth teams to optimize our support.
• Conduct Gemba walks frequently to monitor the end-to-end progress of the programs by going out with community ambassadors, shadowing coaches virtually and at the hubs.
• Seek and lead the creation of new opportunities, including concept and proposal development.
• Drive dissemination of implementation experience in peer-reviewed publications and global/local scientific conferences.
• Ensure fidelity of clinical programming in our work.
• Work closely with the research team and external strategic partners to design evidence programs that help us better understand the impact of our innovative integrated self-care approach on our members.
• Support business development efforts and investment opportunities and co-lead proposal development process when needed.
• Leverage digital tools to manage the team and ensure full adoption by clinical team members
• Monitor clinical quality dashboards.
• Contribute to a data-driven culture of real-time learning, feedback and rapid iteration.

Requirements

• Medical Degree required.
• MBA or Master's preferred.
• The ideal candidate is a clinician with business experience and has managed teams in the past.
• Management experience required. You must have had experience managing teams, and understanding how to manage and lead.
• Data analytics and comfort with data tools are required as well as technology to lead, manage and optimize our programs.
• Ability to conceptualize and execute on tight timelines, and juggle competing priorities.
• Exceptional writing, communication, presentation and organizational skills.
• Comfort in working with a global team and in a startup environment.
• A recognition that mDoc is an early-stage startup so we are looking for you to work with an entrepreneurial mindset, quickly, efficiently and positively.
• A willingness to work super hard and problem-solve as a collective.

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Job Description

• We are seeking an enquiring, precise data analyst to contribute to the design and build of analytic solutions that will inform business decisions, drive operations, measure our performance and validate our value as a company.
• Healthcare data is complex and vast, so you must be excited about sinking your teeth into complex problems, untangling them and communicating your findings to the team. Behind every data, an element is a real person, with real problems that mDoc is working hard to address, and the Data team is responsible for delivering accurate and timely information to steer these efforts.
• If you like hard problems, have experience pulling insight out of complex structured and unstructured data sources, and are an amazing teammate, we want to hear from you!
• The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics.
• They will be responsible for conducting both recurring and ad hoc analyses for business users.

Responsibilities

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• Work with clinical, operational and research leaders to identify levers for broad system change, pull them, and measure the results
• Perform complex descriptive analyses over production-scale data sets to drive business decisions
• Build out our real-time reporting dashboards and own early data tooling across Clinical, Product, and Customer Success verticals
• Design reports steering our value-driven business lines, including traditional and nontraditional success metrics. Work with our clinical operations team to design robust evaluation models
• Work with the clinical, tech teams daily.

Qualifications

• Experience building data products using industry-standard tools
• Experience with Jupyter notebook and related data vis packages
• Comfort across a range of data analysis toolsets (Python, R, SAS, SPSS)
• Excellent at data visualization using Power BI
• Deep understanding of structured and unstructured databases such as SQL and
• MongoDB.