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Business Analyst

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Lumanity

29d ago

  • Job
    Full-time
    Junior Level
  • Data
    Business, Operations & Strategy
  • London

AI generated summary

  • You must have business analysis skills, cross-functional collaboration experience, knowledge of LLMs in life sciences, data privacy awareness, and 2+ years in the field. Interest in generative AI is essential.
  • You will analyze business processes for generative AI, collaborate with teams, optimize language models, ensure data privacy, and develop organized prompts while adhering to regulatory standards.

Requirements

  • Business process / analysis skills: quickly and efficiently understand a business process and how it can be translated over to and run from a generative AI platform more efficiently.
  • Cross functional collaboration across a wide range of internal stakeholders and software development teams to build prime and prompts to support a wide range of use cases across a life sciences business.
  • Understand the differences and appropriate applications for different Large Language Models (especially within a life sciences organisation) and optimize the outputs by establishing and using structured testing frameworks.
  • Able to remove or minimize hallucinations
  • Excellent ability to use RAG and develop optimal chunking strategies.
  • Ability to work effectively across multiple modalities of data types
  • Familiarity with data privacy considerations and the use of generative AI, especially with regards to data use within the life sciences and research sectors
  • Collect, filter and refine data required to develop prime and prompts, as well as test outputs against
  • Be structured and organized, able to ensure prime and prompts are well organized, accessible and up-to-date.
  • Able to ensure prime & prompts and business uses of AI conform to regulatory requirements in the ethical use of AI.
  • Excellent understanding of Business Analysis principles and methods.
  • Research Skills: The ability to conduct effective research and analyze findings. Exposure to working with life sciences data and research content (preferred but not essential),
  • 2+ years of experience with Business Analysis.
  • Able to demonstrate a clear interest in Generative AI coupled with prime and prompt engineering skills.
  • Exposure to agile methodologies, such as Scrum or Kanban is preferred.
  • Exposure to or proficient in the use of resource and delivery tracking tools such as Azure DevOps and Jira (preferred but not essential).

Responsibilities

  • Business process / analysis skills: quickly and efficiently understand a business process and how it can be translated over to and run from a generative AI platform more efficiently.
  • Cross functional collaboration across a wide range of internal stakeholders and software development teams to build prime and prompts to support a wide range of use cases across a life sciences business.
  • Understand the differences and appropriate applications for different Large Language Models (especially within a life sciences organisation) and optimize the outputs by establishing and using structured testing frameworks.
  • Able to remove or minimize hallucinations
  • Excellent ability to use RAG and develop optimal chunking strategies.
  • Ability to work effectively across multiple modalities of data types
  • Familiarity with data privacy considerations and the use of generative AI, especially with regards to data use within the life sciences and research sectors
  • Collect, filter and refine data required to develop prime and prompts, as well as test outputs against
  • Be structured and organized, able to ensure prime and prompts are well organized, accessible and up-to-date.
  • Able to ensure prime & prompts and business uses of AI conform to regulatory requirements in the ethical use of AI.

FAQs

What are the primary responsibilities of the Business Analyst at Lumanity?

The primary responsibilities include analyzing business processes, collaborating with internal stakeholders and software development teams, optimizing AI prompts, validating workflows, and ensuring compliance with regulatory requirements related to data privacy and the ethical use of AI.

What qualifications are required for this position?

The qualifications needed include a solid understanding of Business Analysis principles, strong research skills, at least 2 years of experience in Business Analysis, an interest in Generative AI, and exposure to agile methodologies. Proficiency in tools like Azure DevOps and Jira is preferred but not essential.

Is experience in the life sciences sector necessary for this role?

Exposure to working with life sciences data and research content is preferred but not essential for this position.

What opportunities for professional development does Lumanity offer?

Lumanity offers opportunities to attend industry conferences and workshops, participate in online courses and certifications, network with other professionals, and contribute to open-source projects or community volunteering.

What are the potential career growth paths available for a Business Analyst at Lumanity?

Potential career growth paths include advancement to positions such as Senior Business Analyst, Senior Prompt Engineer, AI Specialist, Data Scientist, Data Analyst, or Software Developer.

What kind of benefits does Lumanity provide?

Lumanity offers competitive salary, bonuses, pension plans, private healthcare, dental cover, enhanced eye care cover, an electric car scheme, and staggered working hours.

Is familiarity with generative AI a requirement for this job?

While a clear interest in Generative AI coupled with prime and prompt engineering skills is necessary, familiarity is considered a significant asset for this role.

What methodologies does the company prefer for project management?

The company prefers exposure to agile methodologies such as Scrum or Kanban for project management processes.

Are there specific data privacy considerations tied to this role?

Yes, the role requires an understanding of data privacy considerations related to the use of generative AI, especially regarding its application in life sciences and research sectors.

How does Lumanity ensure compliance with ethical AI use in their projects?

Lumanity ensures that prime and prompts, as well as business uses of AI, conform to regulatory requirements promoting the ethical use of AI.

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Lumanity

Incisive Thinking, Decisive Action

Science & Healthcare
Industry
1001-5000
Employees
2020
Founded Year

Mission & Purpose

Lumanity applies incisive thinking and decisive action to cut through complex situations and deliver transformative outcomes to accelerate and optimize access to medical advances. With deep experience in medical, commercial, and regulatory affairs, Lumanity transforms data and information into real-world insights and evidence that powers successful commercialization and empowers patients, providers, payers, and regulators to take timely and decisive action.