Computational Biologist / Senior Computational Biologist

Published on : 21/05/2019
Company : PhDTalent SAS
Job type : Permanent position (CDI)
Job location : Paris 9ème
Salary : A négocier

Company description

PhDTalent provides services to innovative companies looking for great talents.

  • Expertise missions : short missions executed by PhDs and PhD candidates
  • PhDTalent Career Fair : the largest career fair in Europe dedicated to PhDs

Job description

Epigene Labs is a newly formed startup at the intersection of data science, genomics, and drug discovery in oncology. We are building a technology platform for the aggregation, analysis, and visualization of multi-omic data: a major challenge for cancer drug hunters. This platform relies on semantic technologies and machine learning algorithms for metadata standardization, and on biostatistics, bioinformatics, and system biology methods for multi-omic data analysis. We operate within an innovative, value-based business model promoting incentive alignment between cancer scientists and data scientists for the discovery of novel precision oncology approaches. Towards this goal, we are seeking a talented computational biologist/senior computational biologist eager to leverage his/her skills in our fight against cancer. This role will report directly to Epigene Labs’ co-founder in charge of building the R&D team. The team is located at the Schoolab, an innovation studio downtown Paris (France), and benefits from the advisory of world-class cancer scientists and data scientists, as well as seasoned tech and biotech entrepreneurs and investors.


Key Responsibilities



  • Design, prototype, and implement methods for integrative analysis of cancer transcriptomic data, as well as other high-throughput molecular data types

  • Apply statistical-, system biology-, and machine learning-based approaches to establish and benchmark predictive models based on biological, clinical, and drug response data

  • Collaborate with data science and software engineering teams on the development of data analysis pipelines for the discovery of innovative therapeutic and diagnostic targets in oncology and immuno-oncology

  • Collaborate with partnering biology and medical teams at world leading cancer centers and high-profile biotech companies

  • Document, summarize, and present results in various settings, including management meetings and, on occasion, scientific conferences (domestically and internationally)

Desired profile

Minimum Requirements



  • MS or PhD in computational biology, bioinformatics, biology, data science, or related technical fields

  • At least 3 years of experience on building predictive models based on transcriptomic data (RNA sequencing, microarray platforms); academic and/or industry experience will be considered

  • Ability to implement and benchmark computational methods from the fields of biostatistics, bioinformatics, and system biology

  • Proficiency in R/Python programming for data analysis

  • Outstanding interpersonal and English communication skills

  • A team player with the ability to also work autonomously, and who has a lifelong learning mindset


Preferred Qualifications



  • Working knowledge of oncology and/or immunology

  • Experience with mining publicly available database (GEO, TCGA, etc.)

  • Experience with genomic, epigenomic, and/or single cell NGS data

  • Experience with AWS/GCP/OVH environments for cloud computing

  • Experience with version control systems (Git) and microservice/container systems (Dockers)