Senior Data Scientist

2 weeks ago

United Kingdom Lifelancer Ltd Full time

1 month ago Be among the first 25 applicants

  • 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.

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

Please use the below link for job application and quicker response

Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Engineering and Information Technology
  • Industries Technology, Information and Internet

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