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- Tasks: Join a dynamic team to develop a cutting-edge data platform for drug discovery.
- Company: Be part of a multidisciplinary team driving scientific breakthroughs through informatics.
- Benefits: Enjoy competitive pay, stock options, and professional development opportunities.
- Why this job: Make a real impact in drug discovery while collaborating with experts in various fields.
- Qualifications: Ph.D. or M.Sc. in a relevant field with a passion for data management.
- Other info: Work in an innovative environment ready for the AI revolution.
The predicted salary is between 36000 - 60000 £ per year.
Summary: We are seeking a motivated scientist with a solid scientific background and a strong interest in advancing their career in scientific data and informatics management. As part of a dynamic, multidisciplinary team of chemists, biologists, and informatics professionals, you will play a critical role in developing a cutting-edge data platform to drive drug discovery efforts. This is a unique opportunity for a scientist with a strong interest in and understanding of data curation, database management, and FAIR data policies. If you are passionate about enabling scientific breakthroughs through informatics and data management, this role will place you at the centre of our mission. Responsibilities, * Collaborate with cross-functional teams to design, develop, and maintain a data platform supporting drug discovery initiatives.
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Curate, standardise, and manage scientific data, ensuring alignment with FAIR data principles (Findable, Accessible, Interoperable, Reusable).
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Implement and manage Laboratory Information Management Systems (LIMS), Electronic Lab Notebooks (ELNs), compound registration, and assay data management workflows using tools such as Dotmatics or Revvity.
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Help develop and maintain databases for scientific data, supporting experimental workflows and discovery research.
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Utilise SQL and data analytics tools like Spotfire, Vortex, or similar platforms to analyse and visualise chemical and biological data effectively.
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Contribute to the harmonisation and FAIRification of data across internal and external systems, ensuring data integrity and accessibility.
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Provide support and training for scientists using informatics tools and platforms.
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Collaborate with our CROs to standardise and streamline our data capture protocols from their systems.
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Join discussions with our LIMS stakeholders to plan for automation of data capture
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Ph.D. or M.Sc. in a relevant scientific discipline (e.g., chemistry, biology, computational sciences)
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Demonstrated interest in data curation and management in a drug discovery or scientific research setting.
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Some understanding of modern LIMS, ELNs, and related informatics platforms such as Dotmatics or Revvity.
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Working knowledge of FAIR data policies and principles.
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Hands-on experience with SQL, data analytics, and visualisation tools (e.g., Spotfire, Vortex, Python, or other data analysis software).
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Strong organisational skills and attention to detail, with the ability to manage complex datasets and workflows.
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Excellent communication and interpersonal skills to collaborate effectively with multidisciplinary teams.
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Opportunity to collaborate with Chemistry, Biology, Data Engineering and Data science experts to develop a modern data platform scalable and ready for the AI revolution.
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A collaborative and innovative environment where your contributions directly impact drug discovery and scientific research.
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Opportunities for professional development and training in cutting-edge data management and informatics technologies.
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Competitive salary and benefits package.
Compensation & Benefits:
We’re committed to investing in every team member’s total well-being, now and in the future. We offer a competitive total-rewards package to all employees around the world, including:
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Competitive compensation package including bonus
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Stock options and RSU awards
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Employee Stock Purchase Plan (ESPP)
Scientific Data Manager employer: Insmed EU Careers
Contact Detail:
Insmed EU Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientific Data Manager
✨Tip Number 1
Familiarize yourself with the latest trends in scientific data management and FAIR data principles. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of informatics and data management, especially those who work in drug discovery. Attend relevant conferences or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 3
Gain hands-on experience with tools like SQL, Spotfire, or Dotmatics. Consider working on personal projects or contributing to open-source initiatives that involve data analysis and visualization to showcase your skills.
✨Tip Number 4
Prepare to discuss specific examples of how you've collaborated with cross-functional teams in the past. Highlight your ability to communicate complex data concepts clearly, as this is crucial for the role.
We think you need these skills to ace Scientific Data Manager
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your scientific background and any experience you have with data curation, database management, and FAIR data principles. Tailor your CV to showcase projects or roles that align with the responsibilities of a Scientific Data Manager.
Showcase Technical Skills: Clearly outline your hands-on experience with SQL, data analytics tools, and any relevant informatics platforms like Dotmatics or Revvity. Mention specific projects where you utilized these skills to demonstrate your capability in managing complex datasets.
Express Your Passion: In your cover letter, convey your enthusiasm for advancing drug discovery through informatics and data management. Share any personal experiences or motivations that drive your interest in this field, making it clear why you want to be part of their mission.
Prepare for Collaboration: Since the role involves working with multidisciplinary teams, highlight your communication and interpersonal skills. Provide examples of past collaborations and how you contributed to team success, showing that you can effectively work with chemists, biologists, and data professionals.
How to prepare for a job interview at Insmed EU Careers
✨Show Your Passion for Data Management
Make sure to express your enthusiasm for scientific data management and informatics. Share specific examples of how you've engaged with data curation or database management in your previous roles, highlighting your commitment to advancing drug discovery efforts.
✨Demonstrate Your Technical Skills
Be prepared to discuss your hands-on experience with SQL and data analytics tools like Spotfire or Vortex. Consider bringing examples of projects where you utilized these tools to analyze and visualize data effectively, showcasing your technical proficiency.
✨Understand FAIR Data Principles
Familiarize yourself with the FAIR data principles (Findable, Accessible, Interoperable, Reusable) and be ready to discuss how you have applied these principles in your work. This will demonstrate your alignment with the company's mission and your ability to contribute to data integrity.
✨Highlight Collaboration Experience
Since this role involves working with cross-functional teams, share experiences where you successfully collaborated with chemists, biologists, or informatics professionals. Emphasize your communication skills and how you can bridge gaps between different disciplines.
