1

Weekday Ai Manager Jobs (NOW HIRING)

Contribute to benchmarking and improving AI systems used in pharmaceutical research Who You Are ... management tools) * Strong analytical thinking and ability to translate complex workflows into ...

Manager - Digital Media

Stanford, CA · On-site

$105.20K - $136.30K/yr

This role is for one of the Weekday's clients Min Experience: 3 years Location: Stanford, CA (Hybrid) JobType: full-time Requirements Responsibilities: * Oversee daily requests by managing content ...

Manager - Digital Media

Stanford, CA · Hybrid

$105.20K - $136.30K/yr

This role is for one of the Weekday's clients Min Experience: 3 years Location: Stanford, CA (Hybrid) JobType: full-time Requirements Responsibilities: * Oversee daily requests by managing content ...

This role is for one of the Weekday's clients Salary range: Rs 15000000 - Rs 30000000 (ie INR 150 ... United States JobType: full-time We are seeking an experienced Engineering Manager to lead the ...

Digital Media Manager

Stanford, CA · Hybrid

$105.20K - $136.30K/yr

This role is for one of the Weekday's clients Min Experience: 3 years Location: Stanford, CA (Hybrid) JobType: full-time Requirements Responsibilities: * Manage day-to-day requests, handling content ...

DevOps Engineer

$54 - $74/hr

This role is for one of the Weekday's clients Min Experience: 5 years Location: USA, US JobType ... In this position, you will be tasked with constructing, managing, and scaling cloud infrastructure ...

This role is for one of the Weekday's clients Min Experience: 5 years Location: Remote (India), USA ... Do you have experience in leading and managing a successful remote team? * Are you proficient in ...

Digital Media Manager

Stanford, CA · On-site

$105.20K - $136.30K/yr

This role is for one of the Weekday's clients Min Experience: 3 years Location: Stanford, CA (Hybrid) JobType: full-time Requirements Responsibilities: * Manage day-to-day requests, handling content ...

This role is for one of the Weekday's clients Min Experience: 9 years Location: USA JobType: full-time We are seeking a seasoned Senior Project Manager to lead complex, cross-functional initiatives ...

This role is for one of the Weekday's clients Min Experience: 9 years Location: USA JobType: full-time We are seeking a seasoned Senior Project Manager to lead complex, cross-functional initiatives ...

This role is for one of the Weekday's clients Salary range: Rs 1500000 - Rs 2800000 (ie INR 15-28 ... You will combine analytics, marketing strategy, and project management to transform complex user ...

This role is for one of the Weekday's clients Location: York, Nebraska Area (Onsite) Compensation ... We are seeking an experienced IT Infrastructure Manager to lead enterprise network architecture ...

Lead Engineering Manager

$104.90K - $138.20K/yr

This role is for one of the Weekday's clients Min Experience: 10 years Location: USA JobType: full-time As a Lead Engineering Manager, you will play a pivotal role in architecting and delivering ...

Preferred Qualifications: • Experience in developing or optimizing 3D simulations specifically for AI/ML training purposes. • Strong understanding of performance tuning and asset management ...

IT Infrastructure Manager

York, NE · On-site

$135K - $150K/yr

This role is for one of the Weekday's clients Location: York, Nebraska Area (Onsite) Compensation ... We are seeking an experienced IT Infrastructure Manager to lead enterprise network architecture ...

Flink Manager

$54 - $74/hr

This role is for one of the Weekday's clientsa Salary range: Rs 10000000 - Rs 40000000 (ie INR 100 - 400 LPA) Min Experience: 8 years Location: United States JobType: full-time As a Flink Manager ...

Manage and maintain the centralized contract repository, tracking renewals, deliverables, deadlines, and approval workflows. * Coordinate internal reviews, due diligence, and approvals with teams ...

Opportunity to influence how AI systems interpret and manage commercial agreements Skills SaaS Contracting Contract Negotiation Redlining Legal Analysis Risk Mitigation Legal Tech

next page

Showing results 1-20

Weekday Ai Manager information

What is the difference between Weekday Ai Manager vs Data Analyst?

AspectWeekday Ai ManagerData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; experience with AI toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis software
Work EnvironmentTech companies, AI-focused teams, collaborative projectsBusiness departments, reporting teams, data-driven decision-making
Employer & Industry UsagePrimarily in AI and tech industries, startups, and enterprisesAcross various industries including finance, marketing, healthcare

Weekday Ai Managers focus on overseeing AI projects, managing AI teams, and implementing AI solutions, while Data Analysts interpret data to support business decisions. Both roles require analytical skills, but the AI Manager emphasizes AI strategy and team leadership, whereas Data Analysts concentrate on data interpretation and reporting.

More about Weekday Ai Manager jobs
What cities are hiring for Weekday Ai Manager jobs? Cities with the most Weekday Ai Manager job openings:
What states have the most Weekday Ai Manager jobs? States with the most job openings for Weekday Ai Manager jobs include:
Infographic showing various Weekday Ai Manager job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, 46% Part Time, 2% Temporary, 1% Contract, and 1% Nights. Highlights an 66% Physical, and 34% Remote job distribution.

Pharmaceutical R&D AI Specialist

Weekday AI

Remote

$60 - $80/hr

Part-time

Posted 27 days ago


Job description

This role is for one of our clients
Compensation: $60-$80 per hourWe are partnering with leading AI labs on our Project - an initiative to build realistic enterprise environments where advanced AI agents are trained and evaluated. We are seeking experienced pharmaceutical research professionals from top pharma, biotech organizations, and leading academic research centers to recreate real-world digital workspaces and design complex tasks that reflect actual R&D workflows.
In this role, you will leverage your expertise across drug discovery, preclinical/translational research, clinical development, or regulatory/CMC to simulate high-fidelity pharma environments and contribute directly to shaping how next-generation AI systems operate in regulated research settings.
Requirements
What You'll Do
  • Build realistic digital workspaces that mirror day-to-day pharma R&D environments, including study protocols, investigator brochures, IND/NDA drafts, pharmacology reports, biomarker analyses, CMC documentation, and internal communications
  • Design multi-step, workflow-driven tasks that require navigating multiple tools, datasets, and stakeholders
  • Incorporate commonly used platforms (e.g., clinical trial systems, molecular modeling tools, electronic lab notebooks) into task environments
  • Collaborate with peer experts to validate realism, rigor, and relevance of scenarios
  • Work asynchronously with research teams to refine task structures and evaluation frameworks
  • Contribute to benchmarking and improving AI systems used in pharmaceutical research

Who You Are
  • Advanced degree (PhD, MD, PharmD, or MS with significant experience); industry fellowship training is a plus
  • 3+ years of full-time experience in a pharmaceutical, biotech, or leading academic research environment
  • Expertise in one or more of the following areas:
    • Drug discovery (medicinal chemistry, biology, HTS, DMPK)
    • Preclinical / translational research (PK/PD, toxicology, biomarkers)
    • Clinical development (Phase I-IV, biostatistics, clinical operations)
    • Regulatory affairs (IND, NDA, BLA, EMA) or CMC
    • Real-world evidence, HEOR, or pharmacovigilance
  • Hands-on experience with industry-standard tools and platforms (e.g., clinical data systems, modeling software, lab management tools)
  • Strong analytical thinking and ability to translate complex workflows into structured task designs
  • Excellent written communication and attention to detail

Engagement Model
  • Initial compensation based on hourly engagement
  • Transition to performance-based compensation aligned with quality and throughput of contributions
  • Fully remote, asynchronous work environment with flexible scheduling

Additional Information
  • Independent contractor engagement
  • Work must not involve sharing confidential or proprietary information from any current or past employer or institution
  • Projects may be extended, modified, or concluded based on performance and research needs
  • This opportunity does not currently support certain work authorization categories

Equal Opportunity Statement
All qualified applicants will be considered without regard to legally protected characteristics. Reasonable accommodations are available upon request.