location_onHinxton, Saffron Walden CB10, UK
watch_later Posted: Mar 14, 2024
Skills Required
Nice To Have skills
Job Description
You will be responsible for:
- Independently manage and lead machine learning research projects and write outcomes in a scientific publication for submission to journals or machine learning conferences (ICLR, ICML, CVPR, etc).
- Collaborate with team members, propose, develop, and evaluate new machine learning models that enable understanding single-cell data and its application in drug discovery.
- Work with Ph.D. students and postdocs in collaborating teams on developing solutions for interdisciplinary scientific problems in biology, providing supervision and training to junior members of the team.
- Contribute to writing scientific papers on biotechnology and biology.
- Distill your developed solutions into open-source and easy-to-install packages with documentation that facilitates the usage of your solution for downstream users, including biologists and bioinformaticians.
- Present your research and analysis pipelines to internal and external audiences.
About You:
- You will be supported in your personal and professional development and have the opportunity to lead peer-reviewed publications around using genetics and genomics approaches to guide drug discovery and present them at national and international conferences.
- To be successful in the Data Scientist role, you will have the following technical skills:
Essential Skills
- To be successful in the Senior Data Scientist role, you will have the following:
- Ph.D. or MS.c with equivalent research experience in a relevant quantitative discipline (e.g., Computer Science, Computational Biology, Genetics, Bioinformatics, Physics, Engineering, or Applied Statistics/Mathematics)
- Proven experience using advanced statistical techniques, machine learning, and modern deep learning techniques.
- Previous ML work experience in scientific/academic environment (RA/Internships are considered as work experience)
- Strong knowledge of Python, including core data science libraries such as Scikit-Learn, SciPy, TensorFlow, and PyTorch.
- Knowledge of software development good practices and collaboration tools, including git-based version control, python package management, and code reviews.
- Excellent communication skills, with the ability to explain complex machine learning algorithms and statistical methods to non-technical stakeholders.
- Evidence of related work experience as a researcher in the area of Machine learning
- Strong publication record, first author position ideal