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
The position
- 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 tooncology 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.
- 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.
Application Closing Date
Not Specified.
How to Apply
Interested and qualified candidates should send their Resume or CV to: [email protected] using the Job Title as the subject of the email.
