AI & Data Senior Consultant, Life Sciences - Clinical

AI & Engineering Senior Consultant

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

The Team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Across life sciences you'll find innovators who are developing therapies, treatments, devices, and cures to meet society's most pressing health challenges and deliver wellness for all. Alongside them, you'll find our leaders, the professionals of Deloitte's Life Sciences practice, who are orchestrating and delivering the business of science and health. We help drive impact through deep industry experience and insights; transformative strategies; trusted, flexible approaches; and new technologies. We help accelerate action and create connections that empower a digitally enabled, equitable future of health.

Work You'll Do

As a Senior Consultant you will bring strong technical, functional and project management solutions to clients with a focus on achieving a high level of performance and quality through delivery of both agile and traditional projects to provide exceptional business value to users.

Working within an engagement team, your responsibilities include, among others:

1. Managing day-to-day interactions with executive clients, stakeholders, and sponsors
2. Managing and delivering components of client engagements focused on identifying, designing, and implementing both technology and creative business solutions for large companies
3. Managing small teams to identify business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures. Your background in technology will provide the foundation to manage these streams but also understand the technology
4. Creation and development of project scope and schedule. Plan and assign resources to associated tasks and deliverables
5. Monitoring progress of the project, identify, and quantify variances, perform required corrective actions
6. Managing changes to project scope, project schedule, and project costs to keep the project plan accurate, updated, as defined in the change management plan
7. Identifying high-level risks, assumptions, and constraints. Implement approved actions and workarounds to minimize the impact of risks on the project
8. Developing and maintaining communication with key project stakeholders and decision makers

Qualifications

Required:

• 4+ years experience with relevant professional experience
• 2+ years of experience in Life Sciences Pharmaceutical R&D clinical domain to include: introducing new technologies like GenAI, AI/ML, and automation into existing drug development and business processes. operating model transformations; evaluation of business processes related to drug development, including workflows, key activities, inputs, outputs, and interdependencies; and analysis of clinical processes to find inefficiencies, bottlenecks, and areas for improvement.
• 2+ years hands-on experience with Python, SQL and AI/ML algorithms
• 1+ years experience leading workstreams within complex engagements with resources in multiple locations
• Bachelor's Degree
• Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available

Preferred:

• Consulting experience leading large workstreams within complex engagements
• Techno-functional knowledge of clinical data flow, data architecture, and data mapping
• Experience with solutions for data-driven trials and clinical development insights (ie: site burden, patient burden, study feasibility, site selection, patient recruitment and retention)
• Understanding of emerging technologies, such as GenAI, and advanced data architectures is important. This includes multimodal data management, model design, Data Mesh, Data Fabric, and Data Products.
• Ability to create critical collaterals for client workshops and customer interactive sessions
• Presentation skills with a high degree of comfort with both large and small audiences
• An advanced degree in an area of specialization

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $208,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.