WhiteLab Genomics: Computational Biologist 🔬🧬
About WhiteLab Genomics
At WhiteLab Genomics, we believe that life-saving drugs should be accessible to all patients in need. We're a part of Y Combinator, French Tech 2030, Future 40 by Station F, and have been recognized by The Galien Foundation ("Best Startup" category). Today, we strive to become the leading expert in A.I. for genomic medicine, operating as the go-to partner for research & development.
Our Computational Biology Team
Our Computational Biology Team is at the forefront of revolutionizing genomic medicine, combining computational biology methods and data science solutions for DNA and RNA therapies design and development in the pre-clinical phase. We curate datasets and conduct in-depth analyses of multiple genomic data types, employing statistical and machine learning-based methods to optimize target discovery, payload design, and vector engineering. Our team's expertise ensures the accelerated development of genomic therapies, offering precise solutions to intricate scientific and technological challenges in the field of biotherapies.
Your Role as a Computational Biologist
As a Computational Biologist, you'll play a key role in the analysis of multi-omic datasets, with a focus on single-cell analysis, to support our research efforts to accelerate R&D in genomic medicine.
Here's How You'll Make an Impact:
- Participate in collaborative research projects with academic partners, biotech, and/or pharma to accelerate therapeutic target identification and development.
- Provide bioinformatics data analysis and develop innovative approaches for various research and customer projects in collaboration with the Data Science and Structural Biology teams.
- Develop and implement algorithms and statistical methods for the integration, visualization, and interpretation of complex biological data.
- Evaluate, select, and develop state-of-the-art pipelines to analyze, annotate, visualize, and integrate various biological datasets, including those generated from high-throughput experiments.
- Develop internal research projects to advance core scientific methodologies, focusing on the development of methods leveraging multi-modal 'omic data to improve biomarker identification.
Qualifications:
- PhD in Computational Biology, Bioinformatics, or a related field.
- Strong programming skills in Python and/or R.
- Experience in statistical and machine learning methods for data analysis.
- Experience in working with biological data, including genomics and transcriptomics data.
- Excellent communication and teamwork skills.
Benefits:
- Competitive salary and benefits.
- Opportunity to work with a talented team of scientists and engineers.
- Chance to make a real impact on the development of genomic medicine.
To Apply:
Please send your CV and a cover letter to [email protected]