Senior Data Scientist

We are looking for an experienced Data Scientist, Computational Biologist or Bioinformatician to join our team with a focus on sequencing analysis workflow and algorithm development.  

We generate large amounts of complex data that is processed through a pipeline of statistical signal processing layers and a set of probabilistic models to transduce raw signals into proteomics sequences. The role will require the development of novel algorithms on complex time series data, statistical/probabilistic modeling, and the research and application of advanced pattern recognition techniques. 

As part of our team, your core responsibilities will be:  

• Develop, release and maintenance of novel algorithms and workflows to improve and extend sequencing performance. 

• Comfortable handling  large datasets and databases. 

• Identify key fundamentals in the data and develop important metrics. 

• Collaborate closely with R&D team members to identify significant improvements for optimizing protein sequencing performance. 

• Communicate data to multidisciplinary teams through verbal and written documentation on a regular basis. 

Qualifications  

Baseline skills/experiences/attributes: 

• Ph.D. or M.S. in Computational Biology, Data Science, Bioinformatics, Computer Science or a related computational/scientific field, with 5+ years industry and/or post-doc experience  

• Track record of developing novel computational approaches and algorithms to solve complex signal processing or Bioinformatics related 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 knowledge of Python scientific computing libraries (NumPy, SciPy, Pandas, sklearn, etc.)  

• 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 using Python  

• Deep understanding of probability and statistics  

• Experience working with large datasets  

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

• Experience optimizing code to make efficient use of multi-CPU/GPU architectures  

• Machine learning / Deep learning experience  

• Experience with Docker and workflow markup languages (i.e. CWL, NextFlow, etc.)  

• Experience with git and Github actions  

• Experience with Rust or C++  

• Experience packaging, testing, and releasing algorithms to run in customer-facing applications 

The estimated base salary range for this role based in the United States of America is: $135,000 - $155,000. 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.  

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.