At Interstellar Lab our mission is to build a future full of life, on Earth and beyond. We believe in a future where technology is enabling humans to live in harmony with nature, a future where biodiversity thrives and expands, a future where terrestrial life become multi-planetary.
To build this future, we design, manufacture and operate controlled-environment biofarms that unleash the power of plants. On Earth and in Space. Our solutions combine Hardware, AI and Bioscience. We use controlled-environment technology to mimic a multitude of conditions to allow plants, fungi and microorganisms to grow faster and better.
On Earth, we are pioneering biofarming at scale, boosting production of bioactive compounds and providing a sustainable and safe source of plant materials. In Space, we provide farming units to grow efficiently food for astronaut while accelerating plant research in microgravity.
- Design and implement computional strategies
- Summarize and display complex data into actionable metrics to inform experimental design/next steps
- Create and troubleshoot (custom) software in order to enable high throughput analysis pipelines
- Analyze varied genomic data sets (transcriptomics, resequencing, genome assembly, genome annotation, metagenomics, epigenetics, etc.)
- Develop tools for manipulation and investigation of NGS datasets
- Oversee and/or develop molecular dynamics models
- Run software and scripts while keeping excellent records
- Design, execute, review, and interpret experiments to provide recommendations towards product development strategies
- Work with cross-functional teams to implement new technologies into new product development pipelines
- Stay current on scientific literature (new methods, data analysis tools, etc) and cutting edge technology
- Develop technical insights based on research and scientific literature
- MS/PhD in life sciences, bioinformatics, computational biology, physical sciences, or equivalent experience
- 4+ years of experience in computational biology and/or data analysis, including at least 2 years of hands-on work experience with real data
- Demonstrated strong skills in computational biology
- Proven technical skills in problem solving, analytical techniques, data gathering, analysis, statistics, interpretation, and proficiency in method troubleshooting
- Loves to write elegant code (please provide a link to any publicly available code when applying)
- Experience with many or all of the following: Python, relational databases (SQL), GraphQL, distributed computing (AWS/Google Cloud), Docker, etc
- Highly independent with the ability to work with cross functional teams in a fast-paced environment
- Ability to work with minimum supervision
- Delivering on projects, on time
- Experience with manipulation and visualization of genome, metagenome, and/or NGS datasets
- Experience with data mining
- Experience in research on secondary metabolites
- Experience with systems biology and metabolic modeling
- Experience with molecular dynamics modeling
- Project management experience
- Passionate and curious about space, nature and AI
- Problem-solving attitude
- Collaborative team spirit
- Ability to rapidly change roles/responsibilities while working in a high-paced, challenging work environment
Location:
Paris Area (France)