Oncology Consultant at mDoc Health Limited

mDoc is digital health start up that leverages behavioral science, data, technology and quality improvement methodologies to improve access to quality healthcare for people with chronic health needs in sub-Saharan Africa. We are seeking an all-star product suite lead to join our team. Our ethos is etched in the belief that augmenting the healthcare & technology landscape is paramount to helping Africa unlock its true potential. We are on a mission to transform how African healthcare consumers receive the support they need to live longer, healthier, happier and more productive lives.

We are recruiting to fill the position below:

Job Title: Oncology Consultant

Location: Lagos
Employment type: Full-time

About the Role

• We are seeking a Passionate and highly experienced Oncology Consultant to support a digital health initiative leveraging AI focused on improving health literacy, self-efficacy, treatment adherence, and referral efficiency for those individuals at greatest risk of or living with cancer, particularly focusing on a cohort of women.
• This project leverages digital platforms, including a virtual health chatbot, to deliver personalized health education, support lifestyle modifications such as nutrition, fitness, and emotional wellness and motivate the member to attain a level of both confidence, healthier outlook on life and engage in healthier and preventative habits.
• The Oncology Consultant will play a key role in shaping the educational and behavioral motivational components of the project. They will (working with the mDoc Clinical/Coaching Team), lead the development of evidence-based content, design quality assessment tools, and support the integration of AI-enabled and digital health solutions to enhance patient engagement and outcomes.
• While this is project-based, the consultant should have a whole-centred product and business lens, recognizing this work should drive the success of the entire clinical and coaching AI-enabled approach.
• The Consultant will collaborate closely in a cross-functional manner with multidisciplinary teams, that includes technology/digital health experts, product managers, machine learning engineers, content creators, communications experts, and healthcare professionals, to ensure high end-to-end quality and impactful interventions.

Key Responsibilities
Health Literacy & Content Development:

• Develop a new oncology clinical and coaching educational curriculum with training and strategy sessions centred on mDoc’s core values and guiding principles. This should be macro and micro based on agreed upon oncology therapeutic areas e.g. breast vs cervical vs colon vs prostate and functionalities e.g. Screening ->prevention-> treatment-> rehabilitation/palliation
• Develop and review curriculum/modules for educational training and refresher purposes, ensuring content is evidence-based, patient-centered, and accessible on several platforms.
• Provide expert guidance on the creation of infographics, chatbot scripts and Public Service Announcements to enhance cancer awareness and self-efficacy.
• Ensure that all educational materials align with best practices in current standards for oncology care and patient engagement.
• Conduct training sessions of human coaches to solidify medical foundation/knowledgebase and enhance seamless coaching in collaboration with mDoc’s chatbot - Kem.

Product Development:

• Work closely with the product manager and broader ML teams to refine the oncology program and testing features with user-centred design principles.
• Harness the “MLnicial” methodology to drive strategic refinements and improvements to our approach.
• Provide input on geocoding for NaviHealth.ai™ to augment referrals for screening, treatment etc.

Assessment & Evaluation:

• Design pre- and post-surveys of members to assess confidence levels in educational and preventative care objectives, determine self-efficacy, and track behavioral changes in participants.
• Support data interpretation, validation and provide insights to refine program interventions.

Lifestyle & Behavioral Interventions:

• Lead the team to develop comprehensive health content, personalized recommendations on nutrition, fitness, and emotional wellness tailored to individuals at risk of or living with cancer.
• Ensure that lifestyle modification strategies are culturally relevant, evidence - based, and actionable for diverse populations.

Digital Health & Referral Support:

• Provide guidance on optimizing work streams of digital platforms (e.g., chatbots) to facilitate risk assessment, symptom tracking, and treatment adherence.
• Support the development of an efficient referral system, ensuring seamless connections to oncology specialists and in network healthcare providers.

Project Support & Collaboration:

• Engage in multi-level collaborative efforts with internal and external stakeholders, including healthcare providers, patient advocacy groups, digital health teams and mDoc’s scientific advisory committee.
• Offer strategic insights to promote the project’s scalability and impact.

Qualifications & Experience

• MD or MBBS with specialization in Medical Oncology, Hematology-Oncology, or Radiation Oncology.
• Certification: Board certification in Oncology or equivalent accreditation.
• Advanced degree ( MPH, or equivalent) in Public Health, Digital Health, or a related field.
• Minimum 7-10 years of experience in oncology with strength in patient education, population health and or digital health projects.
• Track record of publications of high-quality research articles in peer-reviewed medical and oncology journals.
• Expertise in cancer prevention, treatment adherence, and patient self-efficacy strategies.
• Proven experience developing health education materials and teaching junior trainees.
• Strong understanding of behavioral change models and lifestyle modification strategies (nutrition, physical activity, emotional well-being).
• Experience with AI or digital health tools is a plus.
• Strong analytical skills, with experience designing pre- and post-intervention assessments.
• Excellent communication skills, with the ability to translate complex medical information into engaging, patient-friendly content and training of both human coaches and health chatbot Kem.
• Experience working in low- and middle-income diverse populations is desirable.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should send their Resume and a Cover Letter to: mqn@mymdoc.com using the Job Title as the subject of the email.