Founded by Flagship Pioneering, Cellarity is the first company developing medicines through an understanding of cell behaviors. The company’s broad platform harnesses single-cell technologies and machine learning to digitize and quantify cellular behaviors, unravel the network dynamics that govern those behaviors, and generate medicines that can direct them. Cellarity is using its platform to design medicines targeting the full cellular and molecular complexity of disease, enabling a quantum leap in the success rate and speed of drug discovery, design and development. For additional information, visit www.Cellarity.com.
Are you a highly motivated and organized computational scientist who is enthusiastic about developing, learning and applying your computational skills to understand complex biological systems?
You’ll get the opportunity to work in an innovative computational team, driven to deliver high impact results. You will be in an early group of pioneers developing the world's first AI platform that unveils the causes of emergent disease based on cellular understanding.
You will begin your career at Cellarity working closely with Sunny Sun (http://bit.ly/2P5EOJa) and Alex Wolf (Founder of Scanpy, http://bit.ly/3bUVXiS) as well as a slew of other world-class machine learning and engineers (https://cellarity.com/the-team), biologists (co-developing hypotheses) and technologists (co-developing proprietary data assets).
If you think you can contribute to any of these aspects/capabilities that we are building, and are keen on testing your hypotheses and learning from some of the best scientists, whilst getting to work with proprietary and relevant data sets, then we are looking for you.
- You will be required to develop and apply computational biology and machine learning tools to generate insights and hypotheses from high-dimensional molecular datasets, with an initial focus on scRNA-seq with room to develop skills on new data sets. As a bonus, you’ll get to see how those predictions can be tested rapidly in lab to further optimize your initial predictions.
- You will develop data analysis strategies and lead computational analyses on diverse biological and clinically relevant projects.
- You will be required to collaborate closely with experimental scientists from various teams to ensure that data is being fully utilized and interrogated to deliver high value readouts.
- You will be required to present your results in an interdisciplinary team of biologists, technologists and other machine learning colleagues at company meetings and strategic program readouts
- Ph.D. or Master's degree in biology, computational biology or related scientific. Advanced degrees in orthogonal fields such as physics & mathematics field are very much welcome but you would need to have shown demonstrable evidence of biological experience
- Demonstrated scientific understanding of molecular and systems biology, diverse molecular data types and analysis tools.
- Practical programming and scripting skills, preferably in Python.
- Fast learner, analytical thinker, creative, "hands-on", strong communication skills.
- Able to work both independently and as part of a team.
- We would like to see your GitHub repository or papers that can show case this. If you are from biotech/pharma, we would ask you share (where you can), your experiences with a focus on your role and what you specifically contributed to in a program.
- Experience with biological, medical, chemical data
- Experience with emergent behavior in complex systems, time series analysis, causal inference, domain adaptation, transfer learning, multi-modal deep learning, geometric deep learning (learning on graphs and/or manifolds)
- Ability to Google error messages and seek resolution from self investigation and/or get advice from the rest of the crew
- Interested in learning any of the above
Start Date: Immediately
Flagship Pioneering is 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.