We are looking for a talented computational scientist to join our team to help advance protein sequencing. In this role, you will work closely with wet-lab scientists, software engineers and other computational scientists to solve exciting computational problems in single-molecule protein sequencing. You will help create new applications, automate pipelines and help improve current capabilities.
The ideal candidate will have a deep background in a computational field in science or engineering, have strong knowledge of modern computational libraries in Python, be an advanced programmer, and be able to write optimized code that can be run on distributed environments.
As part of our team, your core responsibilities will be:

• Develop novel algorithms to analyze raw single-molecule data produced by Platinum, our next-generation protein sequencing device.
• Optimize algorithms for running in computationally constrained environments.
• Dive deep into our current algorithms to improve upon our current, state-of-the-art pipeline.
• Develop customer facing workflows and libraries for analyzing proteomics data.
• Assist the team in building robust computational infrastructure to enable rapid development and deployment of new software.

Qualifications
Baseline skills/experiences/attributes:

• PhD. or M.S. in Computer Science, Electrical Engineering, or a related computational field with 3 years industry and/or post-doc experience
• Track record of developing novel computational approaches to solve complex biological sequence or signal processing problems.
• Strong analytical thinking and practical problem-solving skills, including the ability to break problems into logical subproblems and devise efficient and flexible solutions.
• Deep understanding of machine learning, probability and statistics.
• Proficiency of Python scientific computing libraries (NumPy, sklearn, etc.) & at least one compiled programming language (C /C, Rust, Java, etc.)
• Experience with software version control system like git.
• Demonstrated use of software engineering best practices, good code structure, and computational optimization techniques
• Excellent scientific communication and documentation skills, including data summarization and visualization.

Ideally, you also have these skills/experiences/attributes (but it's ok if you don't!):

• Experience working with biological sequence data.
• Experience optimizing code to make efficient use of modern CPU architectures.
• Familiarity with Docker and workflow markup languages (i.e. CWL, NextFlow, etc.)
• Familiarity with AWS or other cloud computing platforms.
• Experience packaging, testing, and releasing customer-facing software.

The estimated base salary range for this role based in the United States of America is: $135,000 - $165,000. Compensation decisions are dependent on several factors including, but not limited to, level of the position, an individual's skills, knowledge and abilities, location where the role is to be performed, internal equity, and alignment with market data. Additionally, all full-time employees are eligible for our discretionary bonus program and equity as part of the compensation package.
For this role, we provide visa assistance for qualified candidates.
Quantum-Si does not accept agency resumes.
Quantum-Si is an E-Verify and equal opportunity employer regardless of race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines.