Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 3 days ago

Principal Analyst, CGT Agentic Solutions

Lifelancer3,724 open roles

Pay
$142,800 – $214,200 a year
Where
Remote
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPrincipal Analyst, CGT Agentic SolutionsLifelancer · Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Lifelancer's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

The posting

Job Title: Principal Analyst, CGT Agentic Solutions

Job Location: Boston, MA

Job Location Type: Remote

Job Contract Type: Full-time

Job Seniority Level:

Job Description

General Summary

Vertex is seeking a Principal Analyst, CGT Agentic Solutions to drive the design and implementation of advanced AI-enabled and agentic technologies across our Cell and Gene Therapy (CGT) organization. This role is ideal for a technically strong professional who can bridge data, AI, systems integration, and digital product delivery to create scalable solutions in a complex and highly regulated environment.

The Principal Analyst will work closely with engineering, data, platform, and business analysts to develop intelligent solutions that automate workflows, orchestrate information, enhance decision-making, and improve operational efficiency across CGT. This role will play a key part in shaping how agentic architectures, AI services, and enterprise data ecosystems are applied to real-world scientific and operational challenges.

Key Duties and Responsibilities:

  • Design and support the implementation of agentic and AI-enabled solutions for CGT use cases across commercial, development, manufacturing, quality, and supply chain
  • Translate technical and operational needs into solution designs, system requirements, integration patterns, and implementation plans
  • Partner with software engineers, data engineers, architects, and product teams to deliver scalable and secure digital solutions
  • Define and evaluate agent workflows, orchestration logic, prompt patterns, tool usage, and knowledge retrieval approaches for enterprise applications
  • Support development of solutions leveraging large language models, retrieval-augmented generation, workflow automation, APIs, and enterprise data services
  • Analyze existing systems, data flows, and technical architectures to identify opportunities for automation, optimization, and modernization
  • Contribute to the design of data pipelines, integration frameworks, and system interoperability models supporting agentic platforms
  • Ensure solutions align with security, privacy, validation, and compliance requirements in a regulated biotechnology environment
  • Establish technical standards, performance measures, and operational monitoring approaches for deployed solutions
  • Evaluate emerging AI, cloud, and automation technologies and recommend practical applications within CGT
  • Support production readiness, testing strategy, release planning, and continuous improvement of technical solutions
  • Serve as a technical leader and subject matter expert for agentic solution capabilities within the CGT digital ecosystem

Knowledge and Skills:

  • Hands-on experience working with AI/ML-enabled applications, enterprise platforms, system integrations, or intelligent automation solutions
  • Experience with Salesforce Agentforce or building AI agents/automations on Salesforce Platforms
  • Experience defining and supporting the implementation of technical architectures, APIs, data flows, and workflow automation patterns
  • Strong understanding of large language models, agentic systems, orchestration concepts, or applied AI solution design
  • Experience collaborating with engineering, architecture, data, and product teams in Agile or product-based delivery environments
  • Strong analytical and technical problem-solving skills with the ability to work across complex enterprise ecosystems
  • Familiarity with compliance, security, data governance, and validation considerations in regulated environments

Technical Skills Required:

  • Large language model application design and AI solution analysis
  • Agentic workflows, orchestration frameworks, and prompt design concepts
  • API design/integration and service-based architecture
  • Data modeling, data flows, and enterprise integration patterns
  • Workflow automation and intelligent process orchestration
  • SQL and data analysis skills
  • Experience with scripting or programming languages such as Python, SQL, or similar
  • Familiarity with cloud platforms and modern data ecosystems
  • Understanding of RAG architectures, vector search, knowledge retrieval, and document grounding approaches
  • Experience with tools and platforms such as Azure, Databricks, Power BI, Jira, Confluence, Git, or similar technologies
  • SDLC, Agile delivery, testing, and release management practices
  • Technical documentation, solution design, and systems troubleshooting

Preferred Skills:

  • Advanced degree in a technical or scientific discipline
  • Experience in Cell and Gene Therapy, biopharmaceutical manufacturing, quality, or laboratory environments
  • Experience with conversational AI, agent frameworks, enterprise copilots, or generative AI platforms
  • Familiarity with GxP systems, CSV, validation processes, and regulated platform deployment
  • Experience working with cloud-native architectures, data engineering pipelines, or MLOps practices
  • Ability to operate as a technical lead across multiple workstreams and stakeholders
  • Experience evaluating and implementing emerging AI technologies in an enterprise setting

Education and Experience:

  • Bachelor’s degree in Computer Science, Data Science, Engineering, Bioinformatics, Information Systems, or equivalent
  • 5+ years of experience in technical solution delivery, systems analysis, software/product engineering support, or platform implementation in biotechnology, pharmaceuticals, life sciences, or another regulated industry

#LI-HYBRID

Pay Range:

$142,800 - $214,200

Disclosure Statement:

The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.

At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.

Flex Designation:

Hybrid-Eligible Or On-Site Eligible

Flex Eligibility Status:

In this Hybrid-Eligible role, you can choose to be designated as: 1. Hybrid: work remotely up to two days per week; or select 2. On-Site: work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time.

#LI-Hybrid

Company Information

Vertex is a global biotechnology company that invests in scientific innovation.

Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at [email protected]

This job is curated by Lifelancer.

Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.

Please apply via Lifelancer platform to get connected to the application page and to find similar roles.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Lifelancer's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Lifelancer's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Lifelancer's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.