Signal Processing Engineer, R&D – Future Technologies

Boston, MA
Full Time
Mid Level

CATALOG, a Boston-based pioneering startup, is making significant strides in the field of data storage and computation by harnessing the power of DNA. DNA, known for its millennia-long stability, unrivaled information density, and cost-effective replicability, offers revolutionary potential for latency-tolerant high-density data storage and massively parallel computation. We're seeking a motivated Signal Processing Engineer with an interest in synthetic biology to join our interdisciplinary team and contribute to the development of CATALOG's DNA-based data storage and computation platform. 


In this role, you will: 


●      Build custom software tools to assess the impact of new features on DNA read metrics 

●      Lead research and development activities for developing signal processing pipelines tofy nanopore signal 

●      Support the translation of new technology from bench protocol to a fully automated solution at scale with cloud-based software tools 

●      Collaborate with hardware and software teams to implement new software tools to assess the end-to-end platform performance 

●      Analyze data, present findings, and make recommendations to internal and external stakeholders 

●      Continuously assess current literature for innovation opportunities 

●      Publish peer-reviewed articles and file patents on the team’s achievements and ideas 


We are looking for someone with experience in the following areas: 


●      Deep understanding of data structures, and algorithms with experience adapting/implementing them for unconventional platforms 

●      Programming with Python and C/C++, in a Linux environment, and with relevant tools 

●      Application domain experience in scientific computing, signal processing, or machine learning is a plus 

●      Understanding of molecular biology with an emphasis on nucleic acid chemistry 

●      Experience with and understanding of NGS platforms and software 

●      Experience with long-read, solid-state, and/or protein sequencing is preferred 

●      Familiarity with lab automation, though not required, is a plus 


We are looking for someone driven by: 


●      The excitement of building novel tools and technologies at the intersection of synthetic biology and engineering 

●      The opportunity to contribute to a supportive and collegial team with a growth mindset 

●      The challenge of teaching and learning from colleagues of diverse academic/industry backgrounds 

●      The prospect of wearing many hats as we pioneer the future of DNA-based data storage and computation 


You will also need to be able to: 


●      Thrive in a fast-paced environment 

●      Exhibit creativity and proactivity in problem-solving 

●      Collaborate effectively in small, cross-disciplinary teams 

●      Be a dependable team player with strong verbal and written communication skills 

●      Plan and execute tasks independently 


We are looking for someone with: 


●      A Ph.D. in computer science, applied mathematics, or a related field with at least 2 years of industry experience 

●      Breadth of experience in and ability to develop depth in data structures and algorithms 


A career at CATALOG will challenge you to think critically and work creatively in order to conquer new problems in an unexplored and groundbreaking field. To do this, we believe in building an inclusive team with different points of view. CATALOG supports and celebrates diversity in our workforce. We provide competitive compensation packages and benefits including medical, dental, and vision insurance, 401(k) with company matching, and generous PTO.  


Note: Even if you don’t meet all of the requirements listed we encourage you to apply. Think of it more as looking for most of the items listed, not all.   


Visa sponsorship is not available for this position. 


Apply for this position

Apply with Indeed
We've received your resume. Click here to update it.
Attach resume as .pdf, .doc, .docx, .odt, .txt, or .rtf (limit 5MB) or Paste resume

Paste your resume here or Attach resume file

To comply with government Equal Employment Opportunity and/or Affirmative Action reporting regulations, we are requesting (but NOT requiring) that you enter this personal data. This information will not be used in connection with any employment decisions, and will be used solely as permitted by state and federal law. Your voluntary cooperation would be appreciated. Learn more.
Human Check*