Latest Jobs at mDoc Healthcare

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.
• 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.

go to method of application »

Role Purpose

• You will provide technical leadership in nutrition science for AI health coaching while simultaneously contributing to the development of evidence-based nutritional interventions and food-related health solutions.
• This dual role empowers individuals to take control of their health outcomes through both digital AI coaching and comprehensive self-care programs.

Key Responsibilities

Phase 1: AI Nutrition Content Development (First 3 months)

• Nutrition Framework & Content Creation
• Develop evidence-based nutrition framework tailored for AI health coaching
• Curate and validate nutrition content libraries covering dietary guidelines, portion sizes, food composition, and condition-specific nutrition guidance
• Ensure content alignment with WHO standards, Nigerian dietary guidelines, and cultural practices
• Translate nutrition concepts into simple, accessible responses for users at varying literacy levels

AI Integration & Safety

• Collaborate with AI developers to design nutrition-specific training datasets, prompts, and knowledge bases
• Test AI-generated nutrition responses for accuracy, safety, and clarity
• Define safety thresholds and develop risk identification protocols for nutrition coaching
• Build handoff pathways for higher-risk cases requiring human intervention

Phase 2: Expanded Food Science Role (Ongoing)

Research & Development

• Design and conduct research studies on nutritional interventions for common health conditions in Nigeria
• Analyze food composition, bioavailability, and nutritional density of local Nigerian foods
• Create formulations for nutritional supplements or fortified foods targeting specific health conditions
• Collaborate with clinical teams to validate nutritional interventions through pilot studies

Program Development & Implementation

• Design culturally appropriate nutritional education materials and self-care protocols
• Develop digital nutrition assessment tools and algorithms for the mDoc platform
• Create standardized nutritional screening and monitoring protocols
• Establish quality control measures for nutrition-related program components

Stakeholder Engagement

• Partner with local food producers, suppliers, and agricultural stakeholders
• Collaborate with government agencies, NGOs, and community health organizations
• Interface with regulatory bodies regarding food safety and nutritional claims
• Engage with healthcare providers to ensure clinical relevance of interventions

Data Management & Analysis

• Collect, analyze, and interpret nutritional and health outcome data
• Develop metrics and KPIs for measuring program effectiveness
• Prepare comprehensive reports and presentations for stakeholders
• Contribute to peer-reviewed publications and conference presentations

Key Requirements

Education & Experience

• Master's degree in Food Science, Nutrition, Dietetics, or related field (PhD preferred)
• Minimum 5 years of experience in food science, nutrition research, or public health nutrition
• Experience working in Nigeria or similar sub-Saharan African contexts
• Experience with international development projects or NGO work preferred

Technical Skills

• Strong knowledge of food chemistry, microbiology, and nutritional biochemistry
• Strong knowledge of African food systems and cultural dietary practices
• Proficiency in nutritional analysis software and statistical analysis tools (SPSS, R, SAS)
• Knowledge of food safety regulations and quality control systems
• Familiarity with clinical trial design and implementation

Digital & Technology Skills

• Proficiency in Microsoft Office Suite, especially Excel for data analysis
• Experience with database management systems
• Familiarity with digital health platforms and mobile health applications
• Experience with multidisciplinary collaboration in health, digital health, or AI projects (preferred)

Personal Attributes

• Strong analytical and critical thinking skills
• Excellent communication and presentation abilities
• Proven ability to translate nutrition science into practical, accessible guidance
• Cultural sensitivity and adaptability
• Passion for improving public health outcomes
• Ability to work independently and in multidisciplinary teams
• Results-oriented with attention to detail
• Comfort working in a fast-paced startup environment

Deliverables (First 3 months)

• Inception Report - methodology, work plan, and priority nutrition domains
• Nutrition Framework Document - evidence-based guidelines for AI integration
• Validated Nutrition Content Library - culturally tailored content for AI integration
• Testing & Validation Report - AI response testing results and recommendations
• Training Session(s) - capacity-building workshops for internal teams
•  Final Report - summary of activities, deliverables, and recommendations

Compensation & Contract Structure

• Phase 1 (3 months): Monthly consulting payments based on skills, expertise, and
• experience
• Phase 2: Full-time permanent position with competitive salary and benefits
• Opportunity to transition from consulting to permanent employment based on
• performance and mutual interest