Computational Biologist Intern

Job description

About

Epigene Labs ensures cancer drug hunters pilot R&D programs thanks to rich and diverse human genomic data. The company’s technology platform combines artificial intelligence with domain expertise for the aggregation and analysis of multi-dimensional genomic data.

The team initially focuses on the identification of immunotherapy drug targets and biomarkers based on gene expression datasets from multiple public and private databases. Epigene Labs thus aspires to significantly accelerate drug discovery for precision medicine in oncology.

The company is supported by Station F, Agoranov, Cancer Campus, AstraZeneca, and the Harvard Innovation Labs.

Job Description

Epigene Labs is looking for a Computational Biologist Intern for a 6-month end-of-studies internship, starting between January and June 2025.

You will work on a project to improve molecular data integration and processing, with the opportunity to develop new pipelines and explore innovative methodologies. This role offers a unique learning experience through close collaboration with computational biologists, data scientists, and data engineers, providing hands-on involvement in cutting-edge projects.

The idea of an internship at Epigene is to get a foot in the door of the company and to be able to focus on a specific subject during the months of internship with other members of the team. Many of our previous interns have gone on to join the team on permanent contracts.

Preferred Experience

Job skills

Required

· 
Ability to implement and benchmark computational methods from the fields of biostatistics and bioinformatics

· 
Proficiency in Python programming for data analysis

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

· 
Outstanding interpersonal and English communication skills

Preferred

· 
Experience with bulk and/or single-cell NGS data

· 
Experience with mining publicly available databases (GEO, TCGA, etc.)

· 
Experience with version control systems (Git) and microservices/container systems (Dockers)

Education and experience

· 
Master’s degree in Computational Biology, Bioinformatics, Data Management or related technical fields

· 
Working knowledge of healthcare, biopharma and/or oncology is a plus

Recruitment Process

· 
Initial fit call with the computational biology lead.

· 
Technical challenge based on real-world problems to assess collaboration skills

· 
Meet the leadership team

Additional Information

·  Contract Type: Internship (Between 6 and 6 months)
·  Location: Paris
·  Possible partial remote
·  Salary: 1250 / month