Senior Director of Machine Learning and Artificial Intelligence Operations – Evinova
Office location options: Gaithersburg, MD, Waltham, MA, or Southeast Gothenburg
Are you ready to join the future of healthcare? Can you think big, be bold, and harness the power of digital and AI to tackle age-old life science challenges? Then Astra Zeneca Group’s new healthtech business, Evinova, may be right for you.
Transforming the lives of billions of patients through technology, data and cutting-edge ways of working. You are disruptive, decisive, and transformative. Someone who is excited about using technology to improve patient health. We are building a new healthtech business called Evinova, a wholly owned subsidiary of the AstraZeneca Group.
Evinova provides market-leading digital health solutions that are science-based, evidence-based, and grounded in human experience. Smart risks and quick decision-making work together to accelerate innovation across the Life Science field. Join a diverse team that pushes the boundaries of science by digitally deepening our understanding of the patients we serve. Launch innovative digital solutions that improve the patient experience and drive better health outcomes. Together, we have the opportunity to combine deep scientific expertise with digital and artificial intelligence to serve the broader healthcare community and create new standards across the field.
As Senior Director of ML & AI Ops at Evinova, you will play a key role in ensuring the efficient and effective operation of our machine learning and artificial intelligence development platform. She will be responsible for supporting development teams in using these technologies and managing the software and infrastructure needed to enable development teams to focus on creating breakthrough AI and ML products. . In addition to this, we also create AI/ML practices that are leveraged to solve problems for our suite of products and customers.
This role requires the ability to focus on hands-on development of AI/ML models and providing the necessary tools and resources to support other teams.
As Senior Director of ML & AI Ops at Evinova, you will play a key role in ensuring the efficient and effective operation of our machine learning and artificial intelligence development platform. She will be responsible for supporting development teams in using these technologies and managing the software and infrastructure needed to enable development teams to focus on creating breakthrough AI and ML products. . In addition to this, we also create AI/ML practices that are leveraged to solve problems for our suite of products and customers.
This role requires the ability to focus on hands-on development of AI/ML models and providing the necessary tools and resources to support other teams.
The ideal candidate will be a creative problem solver who can efficiently identify and address data integration challenges.
Technical leadership:
- Provide technical leadership and strategic direction to the Machine Learning and AI product engineering team.
- Collaborate with cross-functional teams to define and execute product roadmaps.
- Stay informed of the latest developments in machine learning, AI, and related technologies to ensure our platform remains at the forefront of the industry.
- Drive research efforts to explore new machine learning and AI technologies that can enhance our product offerings.
- Identify opportunities for innovation and differentiation in the clinical trial optimization space.
Platform leadership:
- You will lead the design, development, and maintenance of our machine learning and AI platform.
- Ensure platform scalability, performance, and reliability to support your growing customer base.
- Act as a product manager for the platform, creating a scalable and sustainable platform for customers.
- Oversee the day-to-day operations of the AI and ML development platform.
- Ensure availability, scalability, and reliability of software and infrastructure components.
- Collaborate with engineering and DevOps teams to maintain server infrastructure and ensure optimal performance.
- Implement and manage CI/CD pipelines to seamlessly deploy AI/ML applications.
Team management:
- Recruit, coach, and lead a team of talented engineers and data scientists.
- Foster a culture of innovation, collaboration, and continuous learning within your team.
- Set clear goals, monitor progress, and provide regular feedback to team members.
Infrastructure maintenance:
- Monitor and maintain data storage, computing resources, and network infrastructure.
- Proactively identify and address infrastructure bottlenecks, security vulnerabilities, and performance issues.
- Stay up to date with new technology and recommend platform upgrades and enhancements.
Quality, security and compliance:
- Implement and enforce security protocols and best practices to protect sensitive data.
- Ensure compliance with data privacy regulations and industry standards (GDPR, HIPAA, etc.).
- Work with your security team to conduct regular vulnerability assessments and audits.
- We implement rigorous testing and quality assurance processes to maintain high product quality.
Resource allocation:
- Work closely with AI/ML development teams to understand resource requirements.
- Allocate resources efficiently and balance computational needs and cost considerations.
- Optimize resource utilization to reduce operational costs.
Documentation and training:
- Create and maintain documentation of platform configurations, processes, and best practices.
- Provide training and support to development teams on platform usage and optimization.
Basic qualifications
- HS degree and 10 years experience in IT solutions or BA/BS degree and 5 years experience.
- Experience designing and implementing multi-tenant SaaS platforms in a regulated industry (preferably pharmaceutical or healthcare).
- Proven experience managing an AI/ML development platform or similar infrastructure.
- Deep understanding of machine learning and artificial intelligence concepts.
- Knowledge of containerization technologies (Docker, Kubernetes, etc.).
- Experience with DevOps practices and tools (Jenkins, Ansible, etc.).
- Excellent product management skills.
- Strong leadership skills with a proven track record of leading and managing high performance engineering teams.
- Deep knowledge of cloud platforms (AWS, Azure, GCP, etc.) and modern DevOps practices.
- Understanding of pharmaceutical industry regulatory requirements, including compliance with FDA and international regulatory bodies.
- Familiarity with security best practices, data protection, and encryption methods.
- Experience with cutting-edge database technologies and data query languages.
- Experience using modern programming languages.
- Excellent problem solving and communication skills.
- Excellent project management and time management skills.
- Excellent communication and interpersonal skills to engage with customers and internal stakeholders.
- Knowledge of data security standards and regulatory compliance in the healthcare and clinical research industry.
- Knowledge of industry best practices and standards such as ISO(s), GAMP GxP, ICH GCP, FDA 21 CFR, GDPR, CMMI, ITIL, GDPR.
Skills required
- Ability to drive innovation.
- Demonstrated ability to challenge, negotiate and influence.
- Strong collaboration and relationship building skills with internal and external stakeholders.
- We pay close attention to detail to ensure data integrity, accuracy, and compliance.
- Superior people development skills, attracting talent and investing in the long-term development of others.
- A very constructive and enabling coach.
- Presentation, communication and facilitation skills.
- Strong leaders take responsibility and inspire their organizations to do the right thing.
- Realistic decision making – Analyze highly complex situations, assess risk, and balance strategic and tactical compliance/quality requirements.
- Persistence – Challenges the status quo by facing difficult and complex problems to achieve simple, desired results.
- Ability to remain calm under pressure.
- Proactively identify untapped opportunities and drive profit realization.
Evinova leverages AstraZeneca’s deep experience developing new treatments based on insights from thousands of patients and clinical researchers. Together, we accelerate the delivery of life-changing medicines, improve clinical trial design and execution for better patient experiences and outcomes, and improve patient care before, during and after treatment. You can think about it more comprehensively. We know that regulators, medical professionals, and clinical trial site care teams do not want a piecemeal approach. They don’t want a future where each pharmaceutical company offers its own different digital solutions. They want solutions that work across sectors, simplify operations, and broadly benefit patients. By delivering our solutions to the broader healthcare community, we are creating a more unified approach to how we all develop and deploy digital technologies to better serve our teams, physicians, and ultimately our patients. be able to provide services. Evinova offers a unique opportunity to deliver meaningful results with digital and AI, serve the broader healthcare community, and create new standards in the field. Join us on our journey to build a new kind of healthtech business to reset expectations of what a biopharmaceutical company can look like. This means we are pioneering new ways of working, pioneering cutting-edge methodologies and bringing together unexpected teams. be interested? Please join us on our journey.
Post date
January 26, 2024
Closing date
01-Feb-2024Our mission is to build an inclusive and just environment. We want people to feel like they belong at AstraZeneca and Alexion, starting with the recruitment process. We welcome and consider applications from all qualified candidates regardless of their characteristics. We will provide reasonable accommodations/accommodations to help all candidates perform at their best. If you require any adjustments or accommodations, please indicate in the section of the application form. AstraZeneca requires all U.S. employees to be fully vaccinated against COVID-19 and will consider requests for reasonable accommodations as required by applicable law.