At a Glance
- Tasks: Guide product data projects to enhance customer outcomes and operational efficiency.
- Company: Join a leading bioscience company in Cambridge with a focus on innovation.
- Benefits: Enjoy comprehensive health care, paid time off, and more perks.
- Other info: Opportunity for growth in a dynamic environment with a focus on continuous improvement.
- Why this job: Make a real impact in the life sciences field while collaborating with diverse teams.
- Qualifications: Bachelor’s degree in science or equivalent experience; strong analytical and data skills required.
The predicted salary is between 35000 - 45000 £ per year.
The Product Data Specialist applies product data expertise and bioscience research experience to guide projects and standard work that improve customer outcomes. Acting as a strategic liaison between digital teams and commercial stakeholders, this role drives growth, operational efficiencies and customer satisfaction. This position reports to the Senior Product Data Specialist and is part of the Antibody Solutions Product Data Team. The role is based in Cambridge, UK and requires an on‑site presence.
Responsibilities
- Be an expert in how product data processes are executed throughout the technical landscape and in meeting mandatory data requirements.
- Collaborate with digital teams to inform project prioritization and support user acceptance testing (UAT) of related systems.
- Represent the product data function in customer feedback workstreams, directly addressing feedback and implementing changes that positively affect researchers, including website developments.
- Support the development, documentation, training, and continuous improvement of global standard operating procedures (SOPs) for product data integration processes to ensure consistency, quality, and scalability.
- Support the product data integration team with complex, high‑impact, or large‑scale item creation and maintenance tasks as required.
Qualifications
- Bachelor’s degree in a science‑related field or equivalent experience with laboratory exposure.
- Familiarity with data models or system‑based data structures used to manage complex products or scientific information.
- Strong analytical skills with advanced Excel proficiency and experience using SQL or similar tools for reporting, validation, or investigation of data issues.
- Experience working with SaaS solutions such as Oracle, PIMcore, Qualtrics.
- Experience partnering with scientific, product, and digital stakeholders to translate business needs into clear, prioritized data requirements.
Additional Experience (Optional)
- Supporting software or system implementation and maintenance initiatives, including testing, SOP development, training, and launch readiness.
- Customer‑facing roles in life sciences (e.g., technical support, field application specialist).
- Applying project management practices to cross‑functional or system change initiatives.
Travel & Physical Requirements
- Ability to travel up to 10% of time as business dictates.
Benefits
Abcam offers comprehensive benefits, including health care programs and paid time off, providing value beyond the role.
Product Data Specialist in Cambridge employer: Radiometer
Abcam is an exceptional employer, offering a dynamic work environment in the heart of Cambridge, UK, where innovation meets collaboration. With a strong focus on employee growth, comprehensive benefits including healthcare and paid time off, and a culture that values scientific expertise and customer satisfaction, Abcam empowers its team members to make meaningful contributions while advancing their careers in the biosciences field.
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Specialist in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Show us that you understand their mission and how your skills as a Product Data Specialist can help improve customer outcomes.
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience with data models and analytical tools makes you the perfect fit for the role. Confidence is key, so rehearse until it feels natural.
✨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 are proactive about their job search.
We think you need these skills to ace Product Data Specialist in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Product Data Specialist. Highlight your experience with data processes, bioscience research, and any relevant tools like SQL or Excel. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to improving customer outcomes. Don’t forget to mention your collaborative spirit and any experience working with digital teams.
Showcase Your Analytical Skills:Since this role requires strong analytical skills, be sure to include examples of how you've used data to drive decisions or improve processes in your previous roles. We love seeing how you’ve tackled complex problems!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Radiometer
✨Know Your Product Data Inside Out
Make sure you brush up on your knowledge of product data processes and how they fit into the technical landscape. Be ready to discuss specific examples from your experience that demonstrate your expertise in managing complex scientific information.
✨Showcase Your Analytical Skills
Prepare to highlight your analytical skills, especially with tools like Excel and SQL. Bring examples of how you've used these tools to solve data issues or improve processes in previous roles. This will show that you can handle the data challenges the role presents.
✨Demonstrate Collaboration Experience
Since this role involves working closely with digital teams and commercial stakeholders, think of instances where you've successfully collaborated across departments. Be ready to share how you translated business needs into clear data requirements and how you handled feedback from customers.
✨Familiarise Yourself with SaaS Solutions
If you have experience with SaaS solutions like Oracle or PIMcore, make sure to mention it. If not, do a bit of research on these platforms and be prepared to discuss how you would approach learning new systems quickly. This shows your adaptability and eagerness to grow.
