At a Glance
- Tasks: Transform scientific questions into data strategies and design AI-driven analytics workflows.
- Company: Join a leading global pharmaceutical company with a focus on innovation.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with a chance to work in a collaborative environment.
- Why this job: Make a real impact in science using cutting-edge AI tools and techniques.
- Qualifications: Scientific degree or relevant experience; interest in NLP and data visualisation.
The predicted salary is between 60000 - 60000 € per year.
Talentmark is recruiting for a Scientific Data Analyst to join a global pharmaceutical company on a contract basis initially for 12 months. Salary £28.97 phr PAYE, or £39.85 phr Umbrella.
Responsibilities:
- Translate scientific and business questions into effective information strategies.
- Design analytics workflows for literature discovery, leveraging AI‑enabled tools.
- Apply AI‑enabled capabilities to enhance information retrieval, summarisation, and categorisation.
- Ensure data is structured for scientific use.
- Provide training on AI/NLP tools for content analytics.
- Ensure adherence to copyright, licensing, and data governance standards.
Qualifications:
- Scientific degree, or equivalent work experience.
- Experience or interest in NLP and LLM applications.
- Familiarity with data visualization and scientific communication tools.
- Knowledge of knowledge graph and ontology management.
- Python and AI frameworks for text analytics.
Location: This role is based at our client's site in Slough (Hybrid 4 days on site).
Additional Requirements: Applicants must hold entitlement to work in the UK and may be required to undergo a satisfactory basic Disclosure and Barring Service (DBS) check.
Scientific Data Analyst in Slough employer: Royal Society of Chemistry
Join a leading global pharmaceutical company that values innovation and collaboration, offering a dynamic work environment in Slough. With a strong focus on employee development, you will have access to training on cutting-edge AI/NLP tools and opportunities for professional growth. Enjoy a hybrid working model that promotes work-life balance while contributing to meaningful scientific advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Scientific Data Analyst in Slough
✨Tip Number 1
Network like a pro! Reach out to professionals in the pharmaceutical and data analytics fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI and NLP applications. Be ready to discuss how you can leverage these tools in your role as a Scientific Data Analyst.
✨Tip Number 3
Showcase your skills with a portfolio! Create a few projects that demonstrate your ability to design analytics workflows and use Python for text analytics. This will give you an edge over other candidates.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you a better chance of landing that interview.
We think you need these skills to ace Scientific Data Analyst in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Scientific Data Analyst. Highlight your experience with AI, NLP, and any relevant scientific qualifications. We want to see how your skills align with what we're looking for!
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 your background makes you a perfect fit. Don’t forget to mention your familiarity with data visualisation and scientific communication tools.
Showcase Relevant Projects:If you've worked on projects involving analytics workflows or AI-enabled tools, make sure to include them in your application. We love seeing real-world examples of your skills in action!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Royal Society of Chemistry
✨Know Your Science
Make sure you brush up on your scientific knowledge and how it relates to data analysis. Be ready to discuss how you've translated scientific questions into actionable insights in the past.
✨Show Off Your Tech Skills
Familiarise yourself with AI-enabled tools and frameworks, especially those related to NLP and text analytics. Be prepared to share specific examples of how you've used Python or other tools to solve problems or enhance workflows.
✨Demonstrate Your Communication Skills
Since you'll be providing training on AI/NLP tools, practice explaining complex concepts in simple terms. Think about how you can convey your ideas clearly and effectively during the interview.
✨Understand Data Governance
Brush up on copyright, licensing, and data governance standards relevant to the role. Be ready to discuss how you ensure compliance in your work, as this is crucial for a Scientific Data Analyst.
