AI SDLC Engineer integrating modern AI tooling into the full Software Development Life Cycle at Quento Technologies S.A. Collaborating with teams to enhance product development and delivery.
About the role
- Associate Director leading medical engagement transformation for Johnson & Johnson Oncology portfolio. Designing and delivering analytics solutions for enhanced customer engagement in healthcare.
Responsibilities
- Will work with the ME.AI Director, Engagement Manager and vendor partners to design, deploy, and enhance medical engagement solutions for the oncology portfolio.
- Will be responsible for identifying opportunities to improve competitiveness, drive execution efficiencies, and optimize medical engagement to maximize patient impact.
- Drive continuous evaluation and enhancement of data sets and products to strengthen insights and predictive capabilities for medical customer engagement.
- Collaborate with cross-functional partners to identify and quantify opportunities to improve patient outcomes through compliant scientific exchange, evidence dissemination and insights generation.
- Partner closely with HCC, privacy, and legal to ensure all solutions are grounded in compliance and uphold patient confidentiality.
- Develop and own the measurement framework to evaluate execution, track impact, and identify opportunities to optimize investment.
- Collaborate across medical affairs, scientific affairs, commercial advanced analytics, data science & engineering, and information technology, among others, to shape medical omnichannel solution roadmap and evolve scientific engagement strategies.
Requirements
- A minimum of 8 years of relevant business experience in healthcare, analytics, data science, management consulting or related field is required.
- A minimum of a master’s degree is required; Ph.D. is highly preferred.
- Proven experience working with healthcare claims, electronic health records (EHRs), and specialty pharmacy data for real-world evidence generation and patient analytics—particularly in identifying unmet needs and treatment gaps—is required.
- Strong influencing skills with the ability to engage stakeholders at all levels, and collaborate across diverse business functions, are required.
- Successful track record of implementing innovative solutions—including AI/ML applications—within the pharmaceutical industry is required.
- Solid understanding of machine learning techniques (e.g., supervised, unsupervised, deep learning), including their practical applications and limitations in real-world settings, is required.
- Ability to do hand-on analytics.
- Ability to interpret predictive model outputs, evaluate performance, and translate findings into actionable insights that align with brand strategy is required.
- Strong project management and cross-functional leadership skills, with a demonstrated ability to deliver results in a matrixed environment, are required.
- High intellectual curiosity and a passion for continuous learning and innovation are essential.
Benefits
- medical insurance
- dental insurance
- vision insurance
- life insurance
- short- and long-term disability
- business accident insurance
- group legal insurance
- 401(k) retirement plan
- 120 hours vacation per calendar year
- 40 hours sick time per calendar year
- 13 days holiday pay per calendar year
- 40 hours work, personal and family time off per calendar year
- 480 hours parental leave within one year of the birth/adoption/foster care of a child
- 30 days condolence leave for an immediate family member
- 10 days caregiver leave
- 4 days volunteer leave
- 80 hours military spouse time-off
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