At a Glance
- Tasks: Develop and evaluate predictive models linking viral genotype and phenotype data.
- Company: Join a large global organisation focused on innovative bioinformatics solutions.
- Benefits: Remote work, competitive contract, and potential for extensions.
- Other info: Dynamic role with opportunities to contribute to significant research advancements.
- Why this job: Make a real impact in bioinformatics with cutting-edge machine learning techniques.
- Qualifications: Publication-backed experience in predictive ML and strong Python skills required.
The predicted salary is between 60000 - 80000 € per year.
A large global organization are seeking a Senior Machine Learning Scientist to develop and evaluate internal predictive models linking viral genotype and phenotype data based sensitivity analyses. The role focuses on applying established machine learning approaches to curated biological datasets to support research, validation, and internal decision making. This role will be an initial 6-8 months+ contract with the possibility of extensions. The role can be worked on a remote basis, from Europe.
Key Skills/Responsibilities:
- The primary priority is for the candidate to have publication backed experience, specifically in:
- Predictive ML on biological data (classification modelling)
- Genotype/feature phenotype modelling
- Method development or algorithmic contributions
- Model interpretability and generation of biological insight
Technical Expertise
- Strong background in machine learning or statistical learning with substantial hands on experience developing classification models
- Experience working with high dimensional, sparse biological or omics datasets
- Strong proficiency in Python for end to end machine learning workflows
- Demonstrated experience designing validation strategies and assessing performance under significant class imbalance and limited sample sizes
Scientific Rigor
- Clear understanding of model limitations, uncertainty, and overfitting risks in real world biological datasets
- Experience delivering machine learning analyses intended to inform research and internal decision making
- Experience making principled methodological recommendations in the face of incomplete or noisy data
Preferred Qualifications
- Experience working with biological sequence data or genotype-phenotype analyses
- Experience with interpretability or explainability approaches applied to biological machine learning models
- Background in pharmaceutical, biotech, or regulated research environments
Machine Learning Model Development
- Develop classification models to analyze curated genotype-phenotype datasets
- Apply appropriate modelling strategies to predict viral sensitivity or resistance based on sequence derived features
- Implement training, validation, and hyperparameter tuning workflows using predefined datasets
- Evaluate alternative feature representations provided by the bioinformatics team and assess their suitability
Model Evaluation and Robustness
- Assess model performance using metrics appropriate for imbalanced biological datasets
- Evaluate robustness across data splits, phenotype definitions, and successive data releases
- Identify failure modes, instability, and limitations, and document their implications
- Document modelling assumptions, trade offs, uncertainty, and limitations in a reproducible and transparent manner
Interpretability and Insight Generation
- Provide interpretable summaries of model behavior, including feature importance and consistency of signals
- Identify amino acid positions or features that recur across models or resampling strategies, while highlighting where signals are not reproducible
- Clearly document and communicate findings, assumptions, and caveats within the bioinformatics team
Senior Machine Learning Scientist - Bioinformatics, Python, ML - Europe employer: MRP Technology Ltd
Join a large global organisation that values innovation and scientific rigor, offering a dynamic remote work environment across Europe. As a Senior Machine Learning Scientist, you will have the opportunity to contribute to cutting-edge research while enjoying a supportive culture that prioritises employee growth and collaboration. With access to extensive resources and a commitment to professional development, this role promises meaningful engagement in the evolving field of bioinformatics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Scientist - Bioinformatics, Python, ML - Europe
✨Tip Number 1
Network like a pro! Reach out to your connections in the bioinformatics and machine learning fields. Attend relevant webinars or meetups, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to biological datasets. Use platforms like GitHub to share your code and results. This gives potential employers a taste of what you can do, and we love seeing your work!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you might need to communicate your findings to non-technical stakeholders. We want you to shine during those interviews!
✨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’re always looking for talented individuals like you to join our team in the exciting world of machine learning and bioinformatics.
We think you need these skills to ace Senior Machine Learning Scientist - Bioinformatics, Python, ML - Europe
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your publication-backed experience in predictive ML on biological data. We want to see your hands-on work with classification models and how you've tackled high-dimensional datasets.
Be Clear and Concise:When detailing your technical expertise, keep it straightforward. We appreciate clarity, so explain your proficiency in Python and any relevant methodologies without jargon overload.
Demonstrate Scientific Rigor:Don’t shy away from discussing model limitations and uncertainties. We value candidates who can critically assess their work and make principled recommendations based on real-world data challenges.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and get the ball rolling on your potential future with us!
How to prepare for a job interview at MRP Technology Ltd
✨Showcase Your Publications
Make sure to highlight your publication-backed experience during the interview. Discuss specific projects where you applied predictive ML on biological data, especially classification modelling. This will demonstrate your expertise and give the interviewers confidence in your capabilities.
✨Demonstrate Technical Proficiency
Be prepared to discuss your hands-on experience with Python and machine learning workflows. Bring examples of how you've developed classification models and tackled high-dimensional biological datasets. This will show that you can hit the ground running in this role.
✨Discuss Model Limitations Openly
A clear understanding of model limitations and risks is crucial. Be ready to talk about how you've handled uncertainty and overfitting in real-world datasets. This shows that you approach your work with scientific rigor and are aware of the complexities involved.
✨Communicate Insights Effectively
Prepare to explain how you've generated interpretable summaries of model behaviour in past projects. Highlight your ability to document findings and communicate assumptions clearly. This is key for collaboration within the bioinformatics team and will set you apart as a candidate.
