At a Glance
- Tasks: Design and implement cutting-edge analytics and ML pipelines for genomics data.
- Company: Join a pioneering team at the forefront of genomic research.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on scientific excellence and career advancement.
- Why this job: Make a real impact in genomics while working with innovative technologies.
- Qualifications: Strong Python programming skills and experience in data analysis.
The predicted salary is between 60000 - 80000 € per year.
Responsibilities
- Design and implement maintainable analytics and ML pipelines for genomics and multi‑omics data.
- Implement state‑of‑the‑art tools for dynamically analysing, interpreting, and visualising genetic and genomic data.
- Translate scientific and domain requirements into reliable, testable software systems.
- Own workflows from prototype through to usable, shareable capability.
- Apply machine‑learning methods to answer biological questions where appropriate, emphasising robustness, interpretability, and reproducibility.
- Contribute engineering best practices within a scientific environment (testing, code structure, documentation).
- Act as a technical bridge between genomics scientists and AI/ML or platform teams.
- Own pipelines end‑to‑end, building, running, and maintaining data or analytics pipelines using workflow orchestration frameworks such as Nextflow, Airflow, Dagster, Prefect or Snakemake.
- Work independently and take ownership of deliverables.
Required Qualifications
- Strong programming skills in Python.
- Demonstrated experience writing maintainable, production‑quality code with modular design, testing and version control.
- Knowledge of genetic, genomic, epigenomic or experimental/functional genomic data and relevant methods for data analysis and interpretation.
Preferred Qualifications
Principal Scientist, Genomics Analytics Engineer employer: WISE Campaign
As a Principal Scientist in our innovative genomics team, you will thrive in a collaborative and dynamic work culture that prioritises scientific excellence and employee growth. Our commitment to cutting-edge research and development is matched by our investment in your professional development, offering opportunities for continuous learning and advancement in the rapidly evolving field of genomics analytics. Located in a vibrant area with access to top-tier resources and a supportive community, we provide a unique environment where your contributions can make a meaningful impact on the future of healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Scientist, Genomics Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the genomics and analytics field on platforms like LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects, especially those involving ML pipelines or genomic data analysis. This will give potential employers a taste of what you can do and how you approach problems.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience with Python and workflow orchestration frameworks. Don’t forget to practice explaining complex concepts in simple terms!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your skills align with the role of Principal Scientist and make sure to follow up after applying.
We think you need these skills to ace Principal Scientist, Genomics Analytics Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming skills in Python and any experience you have with genomics data. We want to see how you can translate your technical expertise into the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Principal Scientist position. Use keywords from the job description to show us that you understand what we’re looking for and how you fit into our vision.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and qualifications.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at WISE Campaign
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages and tools mentioned in the job description, especially Python. Brush up on your experience with workflow orchestration frameworks like Nextflow or Airflow, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed and implemented analytics or ML pipelines. Be ready to explain your thought process, the challenges you faced, and how you ensured robustness and reproducibility in your work.
✨Bridge the Gap
Since the role involves acting as a technical bridge between scientists and AI/ML teams, think of examples where you've successfully communicated complex technical concepts to non-technical stakeholders. This will demonstrate your ability to collaborate effectively across disciplines.
✨Emphasise Best Practices
Be prepared to talk about your approach to engineering best practices, such as testing, code structure, and documentation. Highlight how these practices have improved your previous projects and how you plan to implement them in this new role.
