Senior Staff Data Engineer / Principal Data Engineer

The Altos Labs™ Scientific Computing & Data (SciCODE) group consists of software, data, and machine learning engineers implementing scalable data engineering solutions enabling Altos Labs™ scientific mission. 

We are seeking a highly motivated and experienced Principal Data Engineer to lead the development of data and insights products for multi-omics datasets, including but not limited to bulk and single cell RNA-Seq, DNA methylation, Spatial Transcriptomics, Human Genetics, Microscopy, Imaging and  Mass spectrometry. Altos Labs™ is generating large amounts of multi-omics and imaging datasets and also tapping into large public datasets from academic and industry consortiums to better understand cellular rejuvenation and aging. We are looking for someone to lead data efforts across global research institutes in order to bring these valuable datasets together, and make these amenable for use within machine and deep learning projects, accelerating cutting edge research at Altos Labs™. 

As a Principal Data Engineer, you will partner closely with research teams across global research institutes to identify internal and external multi-modal data sets which need to be processed and integrated. In addition, you will shape both the technology and culture of the Scientific Computing & Data (SciCODE) team and broader organization.  

• Global leadership to build large, high quality multi-modal datasets for to understand cellular rejuvenation and programming, accelerating machine learning research at Altos Labs 
• Work closely with bench and computational scientists to create data representations suitable for machine learning research
• Lead data integration projects for multi-omics datasets leveraging modern machine learning, deep learning techniques and tools
• Leverage and extend algorithms being developed by scientific community for multi-omics data integration, and benchmark these for use cases of relevance to Altos Labs™
• Partner closely with the Scientists and Researchers to identify, design and implement scientific software solutions to accelerate research focusing on integration of multi-modal datasets including  genomics, microscopy, imaging and spatial transcriptomics. 
• Architect and implement cloud, on-premises, and hybrid data systems and solutions that scale and adapt to changing demands
• Own relationships across engineering, scientific, and vendor teams, streamlining and unblocking critical technical decisions
• Mentor software engineers and computational scientists, evangelizing best practices around development tools, CI/CD, and other methods to improve code quality and efficiency
• Set the direction and culture of the software engineering organization, including guiding decisions around software platforms, coding standards, deployment policies, and other best practices
• Engage extensively with major consortiums for medical R&D, large genomics research institutes, and leading startups to extend Altos’s data footprint 

• Masters or Ph.D. in Computer Science, Bioinformatics, Statistics or related quantitative field
• Proven experience in building large biological datasets supporting medical and AI research
• Applied research experience with integration of multi-omics datasets with preference for single cell and spatial transcriptomics data 
• 8+ years software development experience with deep focus on data engineering and integration
• Demonstrated track record of hand-on technical leadership, including owning and delegating technical design decisions
• Experience architecting and implementing cloud, on-premises, and hybrid technical solutions
• Experience working cross-functionally with stakeholders and partners to manage risks and create short and long-term plans
• Excited to design, implement, and evangelize technical and cultural standards across scientific and technical functions

• Experience with scientific research and/or early stage software development organizations
• Experience or familiarity with biology, bioinformatics, or common biological data analysis methods and experience working with biologists or bioinformaticians

The salary ranges for this position are: Senior Staff Data Engineer $205,700 to $278,300; Principal Data Engineer $231,200 to 312,800

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