insitro
Senior / Staff Software Engineer, Compute Core
insitro, South San Francisco, California, us, 94083
The Opportunity
Software engineering plays a key role in insitro's approach to rethinking drug development. The Compute Core software engineering team designs and oversees the computing platform that powers our biological data factory's robots, instruments, and machine learning efforts. This platform functions as the backbone of all computing at insitro, and hence it must be reliable, accessible, secure, scalable, and cost-effective.
As a member of the Compute Core team, you will work closely with a cross-functional team of scientists, bioengineers, and data scientists to identify areas where novel data engineering solutions enhance our ability to search for new therapeutics. You will design software and develop data architectures on high-throughput platforms that enable our scientists to be maximally productive.
In this role, you will frequently collaborate with other machine learning and software engineering teams to optimize the performance of scientific workflows and devise automated pipelines for their execution. Your daily responsibilities will include designing and deploying cloud infrastructure, such as managed databases, application servers, and batch computing environments. You will also be involved in writing and/or deploying software solutions to facilitate accessing and using these resources. This includes crafting systems to improve the observability, security, and cost-efficiency of all computing endeavors.
In short, as a member of the Compute Core team, you will constantly be presented with novel challenges, and you will have the opportunity to make an impact on every computing effort ongoing at insitro!
The Requirements
4+ years of experience building and maintaining software solutions on public cloud platformsExperience writing software in one or more languages (Python preferred)Experience architecting reliable computing infrastructure including scalable services, performance monitoring and alerting, and redundant systemsExpertise working within a Linux environment (writing shell scripts and basic system administration)Experience with container-based platforms like Docker and KubernetesProficiency with infrastructure management tools such as Terraform or SaltStackSkill with version control tools and other engineering best practicesAbility to communicate effectively and collaborate with people of diverse backgrounds and job functions
The Wish List
Experience automating software development processes including data transfers and build systemsExperience with managing medium to large-sized data sets (100TB+) in cloud storage systemsKnowledge of observability and profiling tools to optimize production workflowsExperience with high-performance computing or batch computing systems such as AWS Batch and SLURMExperience with biological, microscopy, and/or chemical datasetsExperience defining and implementing infrastructure following compliance guidelines (HIPAA, GDPR, ISO 27001, etc.)A deep desire to make a difference in the world!
Compensation & Benefits At Insitro
Our target starting salary for successful US-based applicants for this role is $180,000 - $230,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, the level at which they are actually hired, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
In addition, insitro also provides our employees:
401(k) plan with employer matching for contributionsExcellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being supportOpen, flexible vacation policyPaid parental leaveQuarterly budget for books and online courses for self-developmentSupport to occasionally attend professional conferences that are meaningful to your career growth and developmentNew hire stipend for home office setupMonthly cell phone & internet stipendAccess to free onsite baristas and cafe with daily lunch and breakfastAccess to free onsite fitness centerCommuter benefits
About Insitro
insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience, oncology and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit www.insitro.com.#J-18808-Ljbffr
Software engineering plays a key role in insitro's approach to rethinking drug development. The Compute Core software engineering team designs and oversees the computing platform that powers our biological data factory's robots, instruments, and machine learning efforts. This platform functions as the backbone of all computing at insitro, and hence it must be reliable, accessible, secure, scalable, and cost-effective.
As a member of the Compute Core team, you will work closely with a cross-functional team of scientists, bioengineers, and data scientists to identify areas where novel data engineering solutions enhance our ability to search for new therapeutics. You will design software and develop data architectures on high-throughput platforms that enable our scientists to be maximally productive.
In this role, you will frequently collaborate with other machine learning and software engineering teams to optimize the performance of scientific workflows and devise automated pipelines for their execution. Your daily responsibilities will include designing and deploying cloud infrastructure, such as managed databases, application servers, and batch computing environments. You will also be involved in writing and/or deploying software solutions to facilitate accessing and using these resources. This includes crafting systems to improve the observability, security, and cost-efficiency of all computing endeavors.
In short, as a member of the Compute Core team, you will constantly be presented with novel challenges, and you will have the opportunity to make an impact on every computing effort ongoing at insitro!
The Requirements
4+ years of experience building and maintaining software solutions on public cloud platformsExperience writing software in one or more languages (Python preferred)Experience architecting reliable computing infrastructure including scalable services, performance monitoring and alerting, and redundant systemsExpertise working within a Linux environment (writing shell scripts and basic system administration)Experience with container-based platforms like Docker and KubernetesProficiency with infrastructure management tools such as Terraform or SaltStackSkill with version control tools and other engineering best practicesAbility to communicate effectively and collaborate with people of diverse backgrounds and job functions
The Wish List
Experience automating software development processes including data transfers and build systemsExperience with managing medium to large-sized data sets (100TB+) in cloud storage systemsKnowledge of observability and profiling tools to optimize production workflowsExperience with high-performance computing or batch computing systems such as AWS Batch and SLURMExperience with biological, microscopy, and/or chemical datasetsExperience defining and implementing infrastructure following compliance guidelines (HIPAA, GDPR, ISO 27001, etc.)A deep desire to make a difference in the world!
Compensation & Benefits At Insitro
Our target starting salary for successful US-based applicants for this role is $180,000 - $230,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, the level at which they are actually hired, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
In addition, insitro also provides our employees:
401(k) plan with employer matching for contributionsExcellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being supportOpen, flexible vacation policyPaid parental leaveQuarterly budget for books and online courses for self-developmentSupport to occasionally attend professional conferences that are meaningful to your career growth and developmentNew hire stipend for home office setupMonthly cell phone & internet stipendAccess to free onsite baristas and cafe with daily lunch and breakfastAccess to free onsite fitness centerCommuter benefits
About Insitro
insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience, oncology and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit www.insitro.com.#J-18808-Ljbffr