Job summary
Job post source
This job is directly from Deloitte
Job overview
The AI & Data Manager - Life Sciences R&D Clinical role at Deloitte leads complex projects integrating AI and data solutions to improve pharmaceutical R&D clinical processes and drive innovation in life sciences.
Responsibilities and impact
The manager leads and delivers client engagements, manages teams and stakeholder relationships, crafts technology solutions, contributes to thought leadership, and supports business development and junior staff development.
Compensation and benefits
The salary range is approximately $130,800 to $241,000, with eligibility for a discretionary annual incentive program and limited immigration sponsorship available.
Experience and skills
Requires 6+ years relevant experience, 4+ years in life sciences pharmaceutical R&D clinical domain with AI/ML and automation experience, 1+ year managing complex engagements, a bachelor's degree, and ability to travel up to 50%. Preferred qualifications include advanced degree, techno-functional knowledge of clinical data, emerging tech expertise, presentation skills, and sales cycle experience.
Career development
Opportunities include leading complex projects, contributing to thought leadership, involvement in business development, and mentoring junior staff, supporting professional growth within Deloitte's life sciences and AI practice.
Work environment and culture
Deloitte fosters innovation, collaboration, and impact-driven work in a digitally enabled, equitable future of health, emphasizing teamwork and client-focused solutions in a dynamic environment.
Company information
Deloitte is a global professional services firm specializing in consulting, technology, and innovation, with a strong focus on life sciences and AI-driven solutions to transform business operations and healthcare.
Team overview
The AI & Data practice team delivers advanced data and AI platforms and services, working closely with life sciences innovators and leaders to address health challenges and digital transformation.
Job location and travel
The role involves travel up to 50%, with work likely at client sites and Deloitte offices; specific location details are not provided.
Application process
Applications close on 6/30/2025; applicants may need to submit standard documentation and can find accommodation information for disabled applicants on Deloitte's careers site.
Unique job features
This position uniquely integrates AI, GenAI, and automation technologies into pharmaceutical R&D clinical processes, offering innovative project opportunities in a leading consulting firm.
Company overview
Deloitte is a global professional services firm that provides audit, consulting, tax, and advisory services to a wide range of industries. They generate revenue through client fees for these services, leveraging their extensive expertise and global network. Founded in 1845, Deloitte has grown to become one of the "Big Four" accounting firms, known for its innovation and leadership in the field. The company is also recognized for its commitment to corporate social responsibility and fostering a diverse and inclusive workplace.
How to land this job
Tailor your resume to highlight your 6+ years of professional experience in Life Sciences Pharmaceutical R&D clinical domains, emphasizing your expertise in introducing AI/ML, GenAI, and automation into drug development processes.
Showcase your leadership skills by detailing your experience managing complex, multi-location engagements and your ability to guide teams and manage stakeholder relationships effectively.
Emphasize your techno-functional knowledge of clinical data flow, data architecture, and emerging technologies like Data Mesh, Data Fabric, and multimodal data management to align with Deloitte's AI & Data practice needs.
Apply through multiple platforms including Deloitte's official careers site, LinkedIn, and other job boards where Deloitte posts this role to maximize your visibility and chances of getting noticed.
Connect with professionals in Deloitte's Life Sciences or AI & Engineering divisions on LinkedIn; start conversations by referencing recent Deloitte innovations in AI for pharma or asking about how they integrate GenAI into clinical workflows.
Optimize your resume for ATS by incorporating keywords such as 'AI/ML integration,' 'clinical data architecture,' 'drug development process optimization,' 'GenAI,' and 'multi-location project management' to pass initial screening algorithms.
Use Jennie Johnson's Power Apply feature to automate tailored applications, identify the best platforms to apply through, and find LinkedIn connections to network with, allowing you to focus more on preparing for interviews and skill development.
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