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Part Time Rpa Jobs in Maryland (NOW HIRING)

AstraZeneca

Agentic AI Scientist

Gaithersburg, MD · On-site

Be part of a digitally-enabled environment that impacts all parts of the business-from robotic process automation to machine learning for quality batches-while contributing to society and the planet.

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What types of tasks or responsibilities can I expect in a part time RPA position?

As a part time RPA professional, you will frequently be responsible for analyzing business processes, developing and testing automation scripts, and maintaining or updating existing RPA solutions. Your daily work may include collaborating with other IT team members or business analysts to identify automation opportunities and troubleshooting issues that arise in live automated workflows. You may also participate in training end users or documenting automation processes, depending on your team's needs. This role offers the flexibility to contribute technical expertise and problem-solving skills on a schedule that fits your availability, making it ideal for those seeking hands-on RPA experience while balancing other commitments.

What is the highest paid part-time job?

Part-time roles in fields like software development, IT consulting, and specialized healthcare often offer the highest pay, with skilled positions such as freelance programmers or technical consultants earning significant hourly rates. High-demand skills, certifications, and experience can lead to top earnings even in part-time work.

What jobs pay 4000 a week without a degree?

Part-time RPA (Robotic Process Automation) roles typically do not pay $4,000 weekly; high earnings in automation often require full-time positions or specialized skills. Generally, jobs that pay this amount without a degree are rare and usually involve sales, real estate, or entrepreneurial ventures, but these are not part-time RPA roles. Success in automation careers often depends on experience, certifications, and technical expertise rather than part-time work alone.

What are the key skills and qualifications needed to thrive in the Part Time Rpa position, and why are they important?

To thrive as a Part Time RPA (Robotic Process Automation) professional, you need a background in process analysis, basic programming or scripting, and familiarity with automation concepts—often supported by a degree in IT, engineering, or a related field. Proficiency with RPA platforms such as UiPath, Blue Prism, or Automation Anywhere, along with any relevant vendor certifications, is highly desirable. Strong problem-solving abilities, communication skills, and a detail-oriented mindset help individuals excel in collaborating with business stakeholders and resolving technical issues. These skills and qualifications enable efficient design, deployment, and maintenance of automated solutions, maximizing both productivity and business value.

What is a Part Time RPA job?

A Part-Time RPA (Robotic Process Automation) job involves using software robots to automate repetitive tasks in a business process. This role typically includes developing, testing, and maintaining automation workflows while working fewer hours than a full-time position. Part-time RPA professionals may collaborate with teams to optimize efficiency, troubleshoot automation issues, and ensure seamless integration with existing systems. It's a great option for those looking to gain experience in automation while maintaining flexibility in their schedule.

Are RPA developers in demand?

RPA developers are in high demand as organizations increasingly adopt automation to improve efficiency and reduce costs. Skills in tools like UiPath, Automation Anywhere, and Blue Prism, along with programming knowledge, enhance job prospects in this growing field.
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Agentic AI Scientist

Agentic AI Scientist

AstraZeneca

Gaithersburg, MD • On-site

Part-time

Re-posted 29 days ago

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

18th of 74 rated pharmaceutical

Job description

Are you a driven Data Scientist with a robust foundation in traditional data science methods and a passion for Agentic AI, and human-in-the-loop (HITL) multi-agent systems? If so, an exciting opportunity awaits you at AstraZeneca!
We are looking for Associate Principal AI Data Scientists eager to utilize their expertise in these advanced technologies to revolutionize our drug development processes. In the Pharmaceutical Technology and Development (PT&D) department, you will be a key player in transforming molecules into groundbreaking medical treatments. PT&D leads the charge in developing cutting-edge synthetic routes, drug formulations and delivery technologies, ensuring our products are effective, safe, and of the highest quality.
Your role involves contributing data science expertise into cross functional global pharmaceutical development projects in support of transforming the way we deliver medicines to patients. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems.
We are hiring two candidates for this position, and the roles will be based at our dynamic site in Durham (USA).
Work Modality: Hybrid (3 days office and 2 remote)
Accountabilities:
  • Drive innovation in agentic AI, multi-agent systems, and digital twins, exploring new methodologies and applications.
  • Design, implement, and optimize algorithms for autonomous decision-making, coordination, and policy learning among agents and digital twins using techniques like Markov Decision Processes (MDPs), Partially Observable MDPs (POMDPs), and multi-agent reinforcement learning (MARL).
  • Evaluate agent performance in the context of decision making, collaboration, competition, uncertainty.
  • Collaborate with cross-functional teams ensuring knowledge transfer to IT engineering teams for IT solution builds and deployment.
  • Keep pace with industry advancements by reviewing academic papers and attending conferences. Publish findings in peer-reviewed journals and represent the company at scientific forums.
  • Communicate technical concepts and results to technical and non-technical audiences.

Essential skills/Experience:
  • PhD in computer science, data science, artificial intelligence, machine learning or related fields.
  • At least 3 years of experience in Deep Learning and ML
  • Excellent coding skills in languages such as Python, R.
  • Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning.
  • Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch,
  • Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI
  • Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines.
  • Hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI.

Desirable skills/experience:
  • Contributions to open-source projects. If you meet these criteria, please highlight merged GitHub PRs in your application.
  • Strong publication record in the field of AI.
  • Experience designing multi-agent systems in the pharmaceutical sector.
  • Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry.
  • Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
AstraZeneca is a place where change is embraced, and new solutions are trialed with patients and business in mind. Here, technology is a key lever for delivering medicines quickly, affordably, and sustainably. Our diverse workforce is united by curiosity, sharing learnings to scale fast. Be part of a digitally-enabled environment that impacts all parts of the business-from robotic process automation to machine learning for quality batches-while contributing to society and the planet.
Ready to make a difference? Apply now to join our team!
Date Posted
09-jul-2026
Closing Date
08-jul-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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