\nAbout Citrine Informatics\n\n\nAt Citrine, we’re using generative Artificial Intelligence to enable our customers to usher in the next generation of sustainable, high-performing materials and chemicals.  \n\n\nWe’re the leader in AI for materials and chemicals. Our no-code SaaS platform gives product developers, researchers, and engineers access to domain-specific data management and AI tools. Our models propose new ways to combine ingredients and processes that are most likely to outperform, helping companies discover and deploy innovative, sustainable, high-performing materials and chemicals up to 98% faster than traditional R&D approaches.\n\n\nCitrine regularly wins awards for innovation and sustainability, earning spots on the CB Insights AI 100 list and the Inc. 5000 list of fastest-growing private companies in the US. Our customers include leading organizations such as LyondellBasell, Braskem, Grace, Synthomer, and Solvay. We also collaborate with researchers from world-renowned institutions on cutting-edge research at the intersection of AI and the physical sciences. Our team is ambitious with our goals, passionate about our vision, driven by our sustainability mission, and eager to grow and learn from each other. We’re headquartered in California, with team members throughout North America and Europe. We’re growing quickly, and we’re looking for the best to join us!\n\n\nAbout the Role\n\n\nAs a Business Intelligence (BI) Engineer at Citrine Informatics, you will be responsible for designing, developing, and maintaining our business intelligence solutions. You will collaborate with stakeholders to gather requirements, analyze data, and deliver actionable insights that drive informed business decisions. The ideal candidate has a background in data analysis, database management, and business intelligence tools.\n\n\n\nResponsibilities\n* Design, implement, and maintain a data warehouse solution that ensures accessibility and reliability for stakeholders\n* Implement ETL pipelines to load data from diverse sources, including our application databases and our SaaS tools\n* Implement a “semantic view” for analysis in collaboration with stakeholders across the company\n* Create data governance policies\n* Ensure the quality and security of data in the warehouse.\n\n\n\nSkills and Experience\n* Excellent communication and collaboration skills\n* 5+ years as an analytics engineer or equivalent role\n* 5+ years experience with a BI tool\n* 5+ years Postgres, Python, AWS\n* Hands-on experience with data engineering tools (Redshift, Airflow, Glue, etc.)\n* Hands-on experience with ETL tools and processes\n\n\n\nNice-to-haves\n* Experience with AWS Quicksight\n* Experience with a multi-account AWS architecture\n* Experience in an ISO-27001 or SOC2-compliant organization\n* Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification listed. Citrine Informatics is invested in creating a diverse, authentic, and inclusive team, so if you’re excited about this role but your past experience doesn’t perfectly align with what you read above, please consider applying anyways! \n\n\n\n\n\nEqual Opportunity\n\n\nAll qualified applicants will receive consideration for employment without regard to race, creed, color, or national origin. Please let us know if you need any accommodations during the interview process. \n\n\nAccommodations\n\n\nCitrine is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email us at [email protected] or inform your recruiter if you require any reasonable accommodations throughout the recruiting process.\n\n\nOur Core Values\n\n\nCitrine Informatics recognizes that its most valuable asset is its people. We have created our set of Core Values to encourage, support, and invest in our team as they work to innovate and support a more sustainable world. Our Core Values reflect our ongoing commitment to continuously invest in nurturing our talent and our people-first approach to conducting business.   \n\n\n- We take pride in and recognize the successes and growth of ourselves and our colleagues. We support each other in our growth.\n- We prototype and collect data to make good decisions. We question that data and are constantly iterating to find the best solution.\n- We are all owners of Citrine and make decisions like owners. We work autonomously with personal and organizational accountability. \n- We commit to building a diverse and inclusive community within Citrine and actively promote equity and belonging.\n- We are tirelessly committed to creating value for our customers.\n- We exist to help our customers accelerate the development of sustainable products that are critical to the future of both our planet and our industry.\n\n\nCompensation and Pay Transparency \n\n\nAt Citrine, we want your path to career growth to be transparent, straightforward, fair, and easily accessible -- starting with your application and interview process. The annual salary range listed below reflects the level we are considering for this position (please note that there may be unique situations where you may fall outside of this range). Where you fall within the range will depend on how your experience and skills align with our internal leveling system as we learn more about you throughout the interview process.\n\n\n$165,000 USD - $185,000 USD\n\n\n*Range(s) listed are for full-time employees based in the United States only.\n**Colorado only: disclosure above meets the requirement by sb19-085(8-5-20).\n\n\nOur Benefits (for exempt, full-time employees based within the United States)\n\n\n401k with matching up to 4%\nMedical, vision, dental insurance (we pay 100% of your premium and 75% of your dependents)\nLife and Disability insurance\nFSA and HSA plans\nEquity options within the company\n12 weeks of paid parental leave\nFlexible PTO on top of our 15 paid company holidays (includes your birthday!)\nFree financial counseling \n$600 tech allowance\nMonthly $75 phone reimbursement\n$5,000 annual continuing educational allowance \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to SaaS and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUSA

\nThe Opportunity\n\nThe Chan Zuckerberg Biohub Network has an immediate opening for an AI/ML High Performance Computing (HPC) Principal Engineer.  The CZ Biohub Network is composed of several new institutes that the Chan Zuckerberg Initiative created to do great science that cannot be done in conventional environments.  The CZ Biohub Network brings together researchers from across disciplines to pursue audacious, important scientific challenges. The Network consists of four institutes throughout the country; San Francisco, Silicon Valley, Chicago and New York City.  Each institute closely collaborates with the major universities in its local area.  Along with the world-class engineering team at the Chan Zuckerberg Initiative, the CZ Biohub supports several 100 of the brightest, boldest engineers, data scientists, and biomedical researchers in the country, with the mission of understanding the mysteries of the cell and how cells interact within systems.\n\nThe Biohub is expanding its global scientific leadership, particularly in the area of AI/ML, with the acquisition of the largest GPU cluster dedicated to AI for biology. The AI/ML HPC Principal Engineer will be tasked with helping to realize the full potential of this capability in addition to providing advanced computing capabilities and consulting support to science and technical programs. This position will work closely with many different science teams simultaneously to translate experimental descriptions into software and hardware requirements and across all phases of the scientific lifecycle, including data ingest, analysis, management and storage, computation, authentication, tool development and many other computing needs expressed by scientific projects.\n\nThis position reports to the Director for Scientific Computing and will be hired at a level commensurate with the skills, knowledge, and abilities of the successful candidate.\n\nWhat You'll Do\n\n\n* Work with a wide community of scientific disciplinary experts to identify emerging and essential information technology needs and translate those needs into information technology requirements\n\n* Build an on-prem HPC infrastructure supplemented with cloud computing to support the expanding IT needs of the Biohub\n\n* Support the efficiency and effectiveness of capabilities for data ingest, data analysis, data management, data storage, computation, identity management, and many other IT needs expressed by scientific projects\n\n* Plan, organize, track and execute projects\n\n* Foster cross-domain community and knowledge-sharing between science teams with similar IT challenges\n\n* Research, evaluate and implement new technologies on a wide range of scientific compute, storage, networking, and data analytics capabilities\n\n* Promote and assist researchers with the use of Cloud Compute Services (AWS, GCP primarily) containerization tools, etc. to scientific clients and research groups\n\n* Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors\n\n* Assist in cost & schedule estimation for the IT needs of scientists, as part of supporting architecture development and scientific program execution\n\n* Support Machine Learning capability growth at the CZ Biohub\n\n* Provide scientist support in deployment and maintenance of developed tools\n\n* Plan and execute all above responsibilities independently with minimal intervention\n\n\n\n\nWhat You'll Bring \n\nEssential –\n\n\n* Bachelor’s Degree in Biology or Life Sciences is preferred. Degrees in Computer Science, Mathematics, Systems Engineering or a related field or equivalent training/experience also acceptable.\n\n* A minimum of 8 years of experience designing and building web-based working projects using modern languages, tools, and frameworks\n\n* Experience building on-prem HPC infrastructure and capacity planning\n\n* Experience and expertise working on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors\n\n* Experience supporting scientific facilities, and prior knowledge of scientific user needs, program management, data management planning or lab-bench IT needs\n\n* Experience with HPC and cloud computing environments\n\n* Ability to interact with a variety of technical and scientific personnel with varied academic backgrounds\n\n* Strong written and verbal communication skills to present and disseminate scientific software developments at group meetings\n\n* Demonstrated ability to reason clearly about load, latency, bandwidth, performance, reliability, and cost and make sound engineering decisions balancing them\n\n* Demonstrated ability to quickly and creatively implement novel solutions and ideas\n\n\n\n\nTechnical experience includes - \n\n\n* Proven ability to analyze, troubleshoot, and resolve complex problems that arise in the HPC production compute, interconnect, storage hardware, software systems, storage subsystems\n\n* Configuring and administering parallel, network attached storage (Lustre, GPFS on ESS, NFS, Ceph) and storage subsystems (e.g. IBM, NetApp, DataDirect Network, LSI, VAST, etc.)\n\n* Installing, configuring, and maintaining job management tools (such as SLURM, Moab, TORQUE, PBS, etc.) and implementing fairshare, node sharing, backfill etc.. for compute and GPUs\n\n* Red Hat Enterprise Linux, CentOS, or derivatives and Linux services and technologies like dnsmasq, systemd, LDAP, PAM, sssd, OpenSSH, cgroups\n\n* Scripting languages (including Bash, Python, or Perl)\n\n* OpenACC, nvhpc, understanding of cuda driver compatibility issues\n\n* Virtualization (ESXi or KVM/libvirt), containerization (Docker or Singularity), configuration management and automation (tools like xCAT, Puppet, kickstart) and orchestration (Kubernetes, docker-compose, CloudFormation, Terraform.)\n\n* High performance networking technologies (Ethernet and Infiniband) and hardware (Mellanox and Juniper)\n\n* Configuring, installing, tuning and maintaining scientific application software (Modules, SPACK)\n\n* Familiarity with source control tools (Git or SVN)\n\n* Experience with supporting use of popular ML frameworks such as Pytorch, Tensorflow\n\n* Familiarity with cybersecurity tools, methodologies, and best practices for protecting systems used for science\n\n* Experience with movement, storage, backup and archive of large scale data\n\n\n\n\nNice to have - \n\n\n* An advanced degree is strongly desired\n\n\n\n\nThe Chan Zuckerberg Biohub requires all employees, contractors, and interns, regardless of work location or type of role, to provide proof of full COVID-19 vaccination, including a booster vaccine dose, if eligible, by their start date. Those who are unable to get vaccinated or obtain a booster dose because of a disability, or who choose not to be vaccinated due to a sincerely held religious belief, practice, or observance must have an approved exception prior to their start date.\n\nCompensation \n\n\n* $212,000 - $291,500\n\n\n\n\nNew hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. Your recruiter can share more about the specific pay range during the hiring process. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Consulting, Education, Cloud, Node, Engineer and Linux jobs that are similar:\n\n $57,500 — $85,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States

\nThe Opportunity\n\nThe Chan Zuckerberg Biohub has an immediate opening for a High Performance Computing (HPC) Principal Engineer. The CZ Biohub is a one-of-a-kind independent non-profit research institute that brings together three leading universities - Stanford, UC Berkeley, and UC San Francisco - into a single collaborative technology and discovery engine. Along with the world-class engineering team at the Chan Zuckerberg Initiative, the CZ Biohub supports over 100 of the brightest, boldest engineers, data scientists, and biomedical researchers in the Bay Area, with the mission of understanding the underlying mechanisms of disease through the development of tools and technologies and the application to therapeutics and diagnostics.\n\nThis position will be tasked with strengthening and expanding the scientific computational capacity to further the Biohub’s expanding global scientific leadership. The HPC Principal Engineer will also provide IT capabilities and consulting support to science and technical programs. This position will work closely with many different science teams simultaneously to translate experimental descriptions into software and hardware requirements and across all phases of the scientific lifecycle, including data ingest, analysis, management and storage, computation, authentication, tool development and many other IT needs expressed by scientific projects.\n\nThis position reports to the Director for Scientific Computing and will be hired at a level commensurate with the skills, knowledge, and abilities of the successful candidate.\n\nWhat You'll Do\n\n\n* Work with a wide community of scientific disciplinary experts to identify emerging and essential information technology needs and translate those needs into information technology requirements\n\n* Build an on-prem HPC infrastructure supplemented with cloud computing to support the expanding IT needs of the Biohub\n\n* Support the efficiency and effectiveness of capabilities for data ingest, data analysis, data management, data storage, computation, identity management, and many other IT needs expressed by scientific projects\n\n* Plan, organize, track and execute projects\n\n* Foster cross-domain community and knowledge-sharing between science teams with similar IT challenges\n\n* Research, evaluate and implement new technologies on a wide range of scientific compute, storage, networking, and data analytics capabilities\n\n* Promote and assist researchers with the use of Cloud Compute Services (AWS, GCP primarily) containerization tools, etc. to scientific clients and research groups\n\n* Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors\n\n* Assist in cost & schedule estimation for the IT needs of scientists, as part of supporting architecture development and scientific program execution\n\n* Support Machine Learning capability growth at the CZ Biohub\n\n* Provide scientist support in deployment and maintenance of developed tools\n\n* Plan and execute all above responsibilities independently with minimal intervention\n\n\n\n\nWhat You'll Bring \n\nEssential –\n\n\n* Bachelor’s Degree in Biology or Life Sciences is preferred. Degrees in Computer Science, Mathematics, Systems Engineering or a related field or equivalent training/experience also acceptable. An advanced degree is strongly desired.\n\n* A minimum of 8 years of experience designing and building web-based working projects using modern languages, tools, and frameworks\n\n* Experience building on-prem HPC infrastructure and capacity planning\n\n* Experience and expertise working on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors\n\n* Experience supporting scientific facilities, and prior knowledge of scientific user needs, program management, data management planning or lab-bench IT needs\n\n* Experience with HPC and cloud computing environments\n\n* Ability to interact with a variety of technical and scientific personnel with varied academic backgrounds\n\n* Strong written and verbal communication skills to present and disseminate scientific software developments at group meetings\n\n* Demonstrated ability to reason clearly about load, latency, bandwidth, performance, reliability, and cost and make sound engineering decisions balancing them\n\n* Demonstrated ability to quickly and creatively to implement novel solutions and ideas\n\n\n\n\nTechnical experience includes - \n\n\n* Proven ability to analyze, troubleshoot, and resolve complex problems that arise in the HPC production storage hardware, software systems, storage networks and systems\n\n* Configuring and administering parallel, network attached storage (Lustre, NFS, ESS, Ceph) and storage subsystems (e.g. IBM, NetApp, DataDirect Network, LSI, etc.)\n\n* Installing, configuring, and maintaining job management tools (such as SLURM, Moab, TORQUE, PBS, etc.)\nRed Hat Enterprise Linux, CentOS, or derivatives and Linux services and technologies like dnsmasq, systemd, LDAP, PAM, sssd, OpenSSH, cgroups\n\n* Scripting languages (including Bash, Python, or Perl)\n\n* Virtualization (ESXi or KVM/libvirt), containerization (Docker or Singularity), configuration management and automation (tools like xCAT, Puppet, kickstart) and orchestration (Kubernetes, docker-compose, CloudFormation, Terraform.)\n\n* High performance networking technologies (Ethernet and Infiniband) and hardware (Mellanox and Juniper)\n\n* Configuring, installing, tuning and maintaining scientific application software\n\n* Familiarity with source control tools (Git or SVN)\n\n\n\n\nThe Chan Zuckerberg Biohub requires all employees, contractors, and interns, regardless of work location or type of role, to provide proof of full COVID-19 vaccination, including a booster vaccine dose, if eligible, by their start date. Those who are unable to get vaccinated or obtain a booster dose because of a disability, or who choose not to be vaccinated due to a sincerely held religious belief, practice, or observance must have an approved exception prior to their start date.\n\nCompensation \n\n\n* Principal Engineer  = $212,000 - $291,500\n\n\n\n\nNew hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. Your recruiter can share more about the specific pay range during the hiring process. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Consulting, Education, Cloud, Engineer and Linux jobs that are similar:\n\n $50,000 — $85,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States