Laronde is an early-stage biotechnology company with the mission to become the leader in the development of nucleic acid medicines by leveraging its multi-modality eRNA platform. Our modular Endless RNA™ (eRNA) platform, will be supported by a large-scale digital and manufacturing infrastructure with the bold vision of 100 new medicines within the next decade. With eRNA, we’re making new therapeutics that will become essential medicines of the future to address unmet needs across multiple disease areas. Check out www.laronde.bio for more information on our vision.
Laronde was founded by Flagship Pioneering, a team of entrepreneurial scientists that conceives, creates, resources and grows first-in-category life sciences companies. Since 2000, Flagship has created over 100 groundbreaking companies pioneering novel and proprietary biological, industrial and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna Therapeutics (MRNA), Seres Therapeutics (MCRB), Syros Pharmaceuticals (SYRS), Rubius Therapeutics (RUBY), Evelo Biosciences (EVLO), Kaleido Biosciences (KLDO) and Indigo Agriculture.
Position Summary:
Laronde is seeking an outstanding Scientist, Computational RNA Biology to join a multidisciplinary team of experimental and computational synthetic biologists and engineers responsible for study, design and optimization of novel endless RNA (eRNA) therapeutics. The ideal candidate will have a deep knowledge and experience in both machine learning and RNA Biology (structure, stability) and a high degree of proficiency in Python/R, machine learning libraries, bioinformatics tools, and cloud computing and be responsible for developing machine learning and complex analytical workflows to support the selection, design and optimization of eRNA sequences and eRNA formulations. If you are a passionate and purposeful scientist keen on testing your hypotheses and learning from some of the best synthetic biologists and engineers whilst getting to work with complex multidimensional data sets, then we are looking for you.
Key Responsibilities:
- Develop and implement predictive modeling approaches for eRNA stability optimization through eRNA structure designs
- Identify, implement, and develop methods for molecular modeling of RNA folding (2D, 3D, 4D), using integrative computational approaches (RNA software packages, molecular dynamics), and experimental data (SAXS, SHAPE)
- Present your results to an interdisciplinary team of experimental, computational biologists and machine learning colleagues at company meetings and strategic program readouts
- Maintain a well-documented, reusable codebase, and traceable model history
- Generate IP and participate in the drafting of patent filings
- Work closely with Therapeutic areas, Discovery Biology, and Manufacturing teams to drive discovery and development efforts
- Maintain scientific and technical expertise through familiarity with scientific literature and attending conferences
- Work closely within an entrepreneurial, highly-collaborative, interdisciplinary, and fast-paced environment and willingness to change the status quo
Qualifications:
- Advanced degree in computational biology or computational chemistry with expertise in machine learning or an advanced degree in computational sciences, machine learning or other technical fields with expertise in RNA biology
- Strong domain knowledge in machine learning (Deep Learning, Embeddings, Reinforcement and Transfer Learning) and algorithmic analysis of data
- Drug discovery experience in the field of RNA Therapeutics within industry or academy is preferred
- GitHub repository or publications that can showcase your skills
- Demonstrated ability in working with highly skilled teams in a fast-paced, entrepreneurial and technical environment
- Excellent communication, scientific writing, and presentation skills