Research Associate at mDoc Healthcare

Job Summary 

• We are seeking an experienced and tech-savvy research associate to join our team. 
• The role will include contributing to multiple research projects per year and conducting health research-related activities. 
• The ideal candidate will become familiar with data generated through mDoc’s different products and services, propose actionable projects around the data, stay abreast of literature and evidence relevant to mDoc’s work, and inform the business on actionable decisions from a scientific perspective.
• Along with the mDoc leadership team, the research associate will cultivate an environment reflecting the values of mDoc, including integrity, quality, respect for our members and team members. 
• Providing optimal member-centred care and experience is of critical importance to mDoc so we are looking for people who embody this in mind and action.
• The research associate must be data-driven or willing to be data-driven such that they are looking constantly at our member needs, responding to these needs and also looking at population-level data to propose how to drive continued engagement and positive impact.

Location Datails:

• Lagos / Remote, if outside Lagos. This position is being advertised widely as it can be done in a remote fashion with intermittent visits to Nigeria.

Required Qualifications

• Bachelor's degree in a health-related field required.
• Minimum of 5-7 years experience in healthcare research.
• 3+ years experience in quantitative and qualitative data (collection, analysis, synthesis, management).
• Strong analytical skills with proficiency in statistical software (e.g., R, SPSS).
• Proficient in Microsoft Suite, familiar with Google Suite.
• Excellent verbal and written communication skills for concise reporting, and providing insights to support company-wide decision making.
• Ability to work independently and prioritize workload with minimal supervision.
• Technology savvy and enthusiastic adopter of work and personal tools.
• Commitment to and interest in data responsibility (privacy, safety, ethics, etc.).
• Possess honesty and personal integrity.
• Reliable, professional, computer literate, energetic, and friendly.

Preferred Qualifications:

• Master’s degree in Public Health, Biostatistics, or a related field.
• 3+ years experience in digital health and/or health tech.
• Published author in peer-reviewed journals with high impact factors.
• Knowledge of machine learning and AI applications in healthcare.
• Knowledgeability to quickly learn information around lifestyle-related topics such as smoking cessation, weight management, nutrition, exercise, stress reduction, and sleep desired.
• Personal motivation to keep fit and the ability to motivate others to do the same by understanding of lifestyle, diet, and the human body.