Product Manager

Product Manager

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead product development for bioinformatics and data engineering in a dynamic pharmaceutical environment.
  • Company: Join a leading pharmaceutical programme with innovative cloud-based solutions.
  • Benefits: Competitive contract, flexible work arrangements, and opportunities for professional growth.
  • Why this job: Make a real impact on scientific research and analytics with cutting-edge technology.
  • Qualifications: Experience in pharma or bioinformatics and strong data engineering knowledge required.
  • Other info: Collaborative Agile teams and a vibrant work culture await you.

The predicted salary is between 36000 - 60000 £ per year.

We’re looking for a Product Manager to support a suite of bioinformatics and data engineering products within a leading pharmaceutical programme of work. You’ll work across scientific, technical, and business teams to develop cloud-based data solutions in Google Cloud that enable complex research, analytics, and operational workflows.

Key Responsibilities

  • Gather and document product knowledge, including scientific workflows, data usage, and technical architecture.
  • Analyse current data and bioinformatics processes and recommend modernisation opportunities.
  • Translate user and scientific needs into clear product requirements and roadmap items.
  • Act as the primary contact for stakeholders across R&D, clinical, commercial, and compliance functions.
  • Lead product development activities, supporting Agile teams with context, prioritisation, and requirement clarity.

What You’ll Bring

  • Experience in pharma, life sciences, or bioinformatics is essential.
  • Strong understanding of data engineering concepts and cloud platforms (ideally GCP).
  • Ability to define requirements for scientific or data products.
  • Excellent communication and stakeholder‑management skills.
  • Hands‑on experience with Agile delivery, Jira, and Confluence.

Seniority level: Mid‑Senior level

Employment type: Contract

Job function: Information Technology

Industries: Pharmaceutical Manufacturing, IT Services and IT Consulting, Biotechnology Research

Product Manager employer: mthree

At mthree, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment where your contributions directly impact cutting-edge bioinformatics and data engineering projects. Join us to be part of a forward-thinking team that values your expertise and encourages you to thrive in the pharmaceutical industry.
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Contact Detail:

mthree Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Product Manager

✨Tip Number 1

Network like a pro! Reach out to people in the pharma and bioinformatics sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your knowledge.

✨Tip Number 2

Prepare for interviews by brushing up on Agile methodologies and data engineering concepts. We recommend practising common interview questions and scenarios related to product management in the life sciences field.

✨Tip Number 3

Showcase your experience with cloud platforms, especially Google Cloud. Be ready to discuss how you've used these tools in past projects to solve complex problems and improve workflows.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!

We think you need these skills to ace Product Manager

Bioinformatics
Data Engineering
Cloud Platforms
Google Cloud Platform (GCP)
Agile Methodologies
Stakeholder Management
Product Requirements Definition
Communication Skills
Jira
Confluence
Analytical Skills
Technical Architecture Understanding
Research and Development (R&D) Knowledge
Life Sciences Experience
Pharmaceutical Industry Knowledge

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the Product Manager role. Highlight your experience in pharma, life sciences, or bioinformatics, and don’t forget to showcase your understanding of data engineering concepts and cloud platforms like GCP.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain how your skills align with the key responsibilities listed in the job description. Be specific about your experience with Agile delivery and stakeholder management.

Showcase Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects that. Use clear and concise language, and structure your documents well to demonstrate your ability to convey complex information effectively.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role without any hiccups!

How to prepare for a job interview at mthree

✨Know Your Product Inside Out

Before the interview, dive deep into the bioinformatics and data engineering products relevant to the role. Understand their scientific workflows and how they fit into the pharmaceutical landscape. This knowledge will help you articulate your insights and demonstrate your passion for the field.

✨Showcase Your Agile Experience

Since the role involves supporting Agile teams, be ready to discuss your hands-on experience with Agile methodologies. Prepare examples of how you've used tools like Jira and Confluence to manage product development and how you’ve prioritised tasks in a fast-paced environment.

✨Communicate Clearly with Stakeholders

Highlight your communication skills by preparing to discuss how you've previously engaged with various stakeholders. Think of specific instances where you translated complex scientific needs into clear product requirements, showcasing your ability to bridge the gap between technical and non-technical teams.

✨Prepare for Technical Questions

Brush up on your understanding of data engineering concepts and cloud platforms, especially Google Cloud. Be ready to answer questions about modernisation opportunities in data processes and how you would approach developing cloud-based solutions for complex research and analytics.

Product Manager
mthree
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