Senior Biological Data Scientist

4 weeks ago


London, Greater London, United Kingdom Lifelancer Full time
Unlock the Power of Synthetic Biology

Bactobio is a pioneering biotech company that leverages cutting-edge technologies in synthetic biology, next-generation sequencing, and machine learning to unlock the vast potential of the 99% previously unculturable microbes. Our mission is to revolutionize the discovery of novel chemicals that can be applied across various markets, addressing pressing global challenges such as antimicrobial resistance and food security.

Role Overview

We are seeking a highly motivated and technically innovative Biological Data Scientist to join our computational team. As a key member of our data ambitions, you will play a crucial role in developing our platform, from microbial generation to compound discovery. Your expertise will be instrumental in guiding exploration at all stages of our pipeline, ensuring the production of valuable data, and driving research and development of machine learning methodologies.

Key Responsibilities
  1. Transform broad scientific goals into clear, well-defined issues, collaborating closely with laboratory scientists to evaluate trade-offs and shape experimentation.
  2. Utilize statistical techniques to plan efficient laboratory experiments and identify meaningful outcomes, working closely with bioinformaticians to prepare omics data for use in subsequent machine learning models.
  3. Drive research and development of machine learning methodologies for modeling microbial communities and the emergence of significant microorganisms, implementing predictive modeling techniques to expedite the exploration for novel microbes.
  4. Aid in enhancing our software platform, critical for managing data flow and accessibility, and offer technical guidance and mentorship to team members, fostering a collaborative and innovative environment.
Requirements
  • A PhD in data science, computational biology, mathematics, bioinformatics, or a related field within the STEM disciplines.
  • Professional research or work experience in biotechnology with a computational emphasis, proficiency in statistical modeling and machine learning techniques, and advanced proficiency in Python and experience with data science and machine learning libraries.
  • Bioinformatics familiarity and experience with data commonly used in the field, as well as industry experience in collaborative software development.

Lifelancer is a talent-hiring platform in Life Sciences, Pharma, and IT, connecting talent with opportunities in pharma, biotech, health sciences, healthtech, data science, and IT domains. Please use the below Lifelancer link for job application and quicker response.

https://lifelancer.com/jobs/view/9d3aaa8627e9007b41a38f48973cee89



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