Lead Software Engineer (AI & Data Product)
Massive BioTurkey11 hours ago
Full-timeRemote FriendlyEngineering, Information Technology
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About Massive Bio
Massive Bio’s mission is to give every cancer patient access to the most advanced treatment options. Through AI‑powered platforms like SYNERGY‑AI, which extracts and matches patient health data to clinical trial protocols, and DUO (Drug Utilization Optimizer), which identifies the right physicians at the right moment for new therapies, we remove friction between clinical trial discovery and patient enrollment. Our teams in Istanbul, New York and worldwide serve pharmaceutical companies, CROs and patients with cutting‑edge software, data and real‑world evidence.
The Opportunity
We are seeking a Lead Software Engineer to guide the design, development and deployment of AI‑ and data‑driven products that power Massive Bio’s clinical trial matching and drug‑utilization capabilities. You will manage a team of developers, collaborate with data scientists and product managers and ensure our platforms are scalable, secure and reliable.
Responsibilities
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Massive Bio’s mission is to give every cancer patient access to the most advanced treatment options. Through AI‑powered platforms like SYNERGY‑AI, which extracts and matches patient health data to clinical trial protocols, and DUO (Drug Utilization Optimizer), which identifies the right physicians at the right moment for new therapies, we remove friction between clinical trial discovery and patient enrollment. Our teams in Istanbul, New York and worldwide serve pharmaceutical companies, CROs and patients with cutting‑edge software, data and real‑world evidence.
The Opportunity
We are seeking a Lead Software Engineer to guide the design, development and deployment of AI‑ and data‑driven products that power Massive Bio’s clinical trial matching and drug‑utilization capabilities. You will manage a team of developers, collaborate with data scientists and product managers and ensure our platforms are scalable, secure and reliable.
Responsibilities
- Technical leadership: Own the architecture and technical roadmap for AI‑enabled data products. Design and implement event pipelines, microservices, APIs and model‑scoring services consistent with DUO’s technical requirements
- Hands‑on development: Lead by example, writing high‑quality, maintainable code and contributing to end‑to‑end development of web and mobile applications
- Data pipelines & AI integration: Collaborate with data engineers and ML scientists to build pipelines that ingest, process and surface clinical, genomic and operational datasets; support training and deployment of AI/LLM models while maintaining strict consent lineage and HIPAA/GDPR compliance
- Team mentorship: Mentor and grow a team of mid‑level developers; conduct code reviews; establish engineering standards; foster a culture of innovation, accountability and continuous learning
- Cross‑functional collaboration: Partner with product managers and clinical experts to translate business needs into technical requirements; ensure alignment with privacy, security and quality standards
- Stakeholder communication: Communicate complex technical concepts to non‑technical stakeholders and influence decision‑making across the organization
- Experience: 7+ years of software development experience, including at least 2 years in a leadership role
- Technical skills: Strong proficiency in Python/PHP and related frameworks; experience with RESTful APIs; solid understanding of databases (SQL and NoSQL); familiarity with cloud platforms such as AWS or Azure and containerization (Docker/Kubernetes)
- AI & data: Demonstrated experience integrating machine‑learning models into production systems and working with data‑engineering pipelines; familiarity with large‑language‑models and natural‑language processing is a plus
- Software craftsmanship: Commitment to clean, maintainable code; experience with version control (Git), Agile development and continuous integration
- Leadership: Ability to mentor and motivate engineers; strong stakeholder‑management skills; track record of driving measurable improvements
- Education: Bachelor’s degree in Computer Science, Engineering or related discipline; advanced degrees are advantageous
- Communication: Excellent English communication skills (written and verbal) to participate in international collaboration
- Location: Based in Istanbul(Kozyatağı) with a hybrid schedule
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Key Skills
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