CAREERS

Experienced person with a good grasp on molecular biology and data science, interested in teaching, curriculum development and research project support. Team player and motivated independent person that can handle multiple projects ranging from research support to curriculum development. Bioinformatics analysis of multi-omics data with machine learning-based integration of results. Advanced analysis methods and results have to be transformed into biological-meaningful story.

Expertise in:  

Cell and Molecular Biology (Oncology, Neuroscience, Immunology)

Data Analysis (processing, analysis, statistical analysis, machine learning)

Teaching, presentations, verbal and written communication

Education level:

Minimal M.Sc. with several years of experience. Ph.D. or post-doc preferred.

Mathematics, Computer Science or Engineering degree with experience in biological interpretation.

Work style:  

Must be able to work in a dynamic environment (remote, international and on-site team) full-time commitment, deadlines, project management and understanding of user flow, excellent communication and reporting skills. Must be comfortable presenting and interacting with audiences.

For reference, please see the following sites:

  • server.t-bio.info
  • edu.t-bio.info
  • t-bio.info
  • pine-biotech.com

Compensation:

The position is full time (part time could be considered for a right candidate), with compensation linked to years of experience.

Certainly biomedical topics/datasets of your personal expertise/interest, where ML methods works and can be demonstrated are highly welcomed.

How to be accepted:

For your internship application to be considered, you must complete 2 courses on the edu.t-bio.info platform. When reviewing applications, we are looking for the profiles on the edu site. With your application, please submit a 1-page summary for the course you took and how you think these kinds of courses might be relevant for students, faculty and industry users.