(Senior) Scientist, Deep Learning
Cambridge, MA
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…At Flagship Pioneering, we conceive, create, resource, and develop first-in-category life sciences companies to transform human health and sustainability. We’ve created over 100 scientific ventures, including the now familiar drug and vaccine innovator, Moderna Therapeutics.
Since its inception in 2000, many of our companies have leveraged advances in computing, big data and AI. In recent years, this trend has accelerated with first-in-category life science companies such as Generate Biomedicines, Cellarity, Valo and many others that are creating breakthrough innovations using AI and ML technologies.
We are looking for extraordinary computational scientists, engineers, and entrepreneurs to work alongside individuals within the Flagship Ecosystem focused on solving the most impactful challenges in AI and the life sciences.
Description
The Deep Learning ML scientist will envision and drive core research directions. They will work closely with an interdisciplinary team to design and implement novel deep learning solutions to problems in the biological sciences. This is an exciting opportunity to be part of a fast-paced, highly dynamic entrepreneurial environment.
Key Responsibilities:
- Conduct multidisciplinary research at the intersection of statistics, math, and biology.
- Develop cutting-edge DL-based solutions for fundamental problems in biology and human health.
- Apply insights from working on an array of biological problems to furthering research in other ML applications and theoretical principles.
- Develop clear, intuitive visualizations. Communicate analysis results via presentations to a multi-disciplinary audience.
- Cultivate a data-centric and process-oriented company philosophy by creating and maintaining best practices for software development, data management, and infrastructure.
- Monitor and evaluate new and emerging technologies and models and identify opportunities for collaboration within Flagship Pioneering companies, academia, and third-parties.
Basic Requirements:
- PhD in Machine Learning, Computer Science, Statistics, Math, or other related fields.
- Experience in deep learning research.
- Experience with efficient prototyping, designing experiments, and planning research projects.
- Fluency in Python and standard ML tools and packages.
- Strong publication record.
- Motivated and team oriented, with an ability to thrive in an entrepreneurial and multidisciplinary environment.
- Excellent communication and presentation skills. Must be able to think independently and work collaboratively.
Preferred Requirements:
- Familiarity with common tools: Git, cloud/cluster computing, UNIX environments, shell scripting.
- Have worked on problems in: representation learning; generative modeling; GNNs and geometric learning; category theory applied to ML; reinforcement learning.
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: Big Data Biology Computer Science Data management Deep Learning Generative modeling Git Machine Learning Mathematics PhD Prototyping Python Reinforcement Learning Research Shell scripting Statistics
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Data Analytics Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open ETL Developer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs