FL83: Machine Learning Engineer
Cambridge, MA USA
Applications have closed
Flagship Pioneering, Inc.
We are Flagship Pioneering We are a biotechnology company that invents platforms and builds companies that change the world. CEO Chats from the Flagship…What if… you could join an organization that is discovering and developing an entirely new class of medicines, one that leverages both chemistry and biology, to overcome many of the challenges faced by current therapeutics today?
Company Summary:
Flagship Labs 83, Inc. (FL83) is a privately held, early-stage biotechnology company on a mission to make biology better through chemistry. We are pioneering the development of a transformational new class of medicines, called Artificial BiologicsTM, that is unlocked by novel synthetic and computational technologies. We seek an exceptional ML Engineer to join our entrepreneurial and innovation-driven organization.
FL83 was founded in Flagship Pioneering’s venture creation engine, where companies such as Moderna Therapeutics (NASDAQ: MRNA), Rubius Therapeutics (NASDAQ: RUBY) and Generate Biomedicines were conceived and created. Since Flagship’s founding in 2000, the firm has originated and fostered the development of more than 100 scientific ventures resulting in over $34 billion in aggregate value, more than 500 issued patents and more than 50 clinical trials for novel therapeutic agents.
Position Summary:
Flagship Labs 83 is looking for a creative and motivated ML Engineer to establish our Artificial BiologicsTM Computational Protein Design team. As part of the early scientific team, this individual will be instrumental in building the Computational Protein Design platform, using data-driven approaches to tackle Artificial BiologicsTM design challenges and develop impactful new medicines. The ideal candidate will have experience applying state-of-the-art machine learning and computational methods to guide the generation and application of unique peptides and proteins design. A successful candidate will be an excellent collaborator working closely with our Platform Development and Biology teams to implement and execute rapid design-build-test cycles and optimized methods.
Responsibilities:
- Developing high quality, production ready code with well documented and testable APIs.
- Working in a collaborative CI/CD software development environment, including use of git, participating in code reviews and independent development of robust code.
- Building and maintaining machine learning and data infrastructure.
- Leading and collaborating on the development of computational methods to predict and understand how peptide and protein structure impacts biologically relevant properties.
- Incorporating both modern machine learning methods and classical computational approaches.
- Prototyping APIs, write beautiful code, and ensure a great user experience for the tools you create.
- Working closely with Platform Development and Biology teams to integrate a tight design-build-test cycle leveraging FL83’s proprietary technology
- Working within an entrepreneurial, collaborative, and interdisciplinary team to actively contribute to creating, shaping, and executing the vision of the company
Qualifications:
- Undergraduate or Master's degree in bioinformatics, computer science, mathematics, physics, biology or related field. Practical experience in Machine Learning models and Software Engineering.
- Proficient in at least one software programming language (e.g. Python), and experience with relevant macromolecular modeling software (e.g. Alphafold, PyRosetta, MOE, Schrödinger)
- Familiar with deep learning libraries such as PyTorch, TensorFlow, Keras, JAX
- Experience with cloud computing (i.e., AWS) and data pipelining tools (i.e., Nextflow, Airflow, Luigi)
- Demonstrated ability to communicate and work effectively with a cross-disciplinary team, external contractors and members of other multifunctional teams (e.g. data science, translational biology, chemistry, etc.) within and outside of the Flagship ecosystem
Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Recruitment & Staffing Agencies*: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.*
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs AWS Biology Chemistry CI/CD Computer Science Deep Learning Engineering Git Keras Machine Learning Mathematics ML models Physics Prototyping Python PyTorch Ruby TensorFlow
Perks/benefits: Startup environment
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