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Software Engineer
Scientific Pipelines
Posted on 11/6/2022
INACTIVE
Locations
San Bruno, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
Data Analysis
Django
Flask
C/C++/C#
Git
Linux/Unix
NumPy
Pandas
Postgres
Python
Requirements
  • BS, MS, or Ph.D. in computer science, statistics, mathematics, physics, engineering, or equivalent practical experience
  • Expertise in one or more general-purpose programming languages such as Python, C/C++, or Go. We primarily use Python
  • Familiarity with cloud computing services. We use AWS
  • Familiarity with database technologies, data pipelines, workflow engines, distributed computing technologies such as Spark. We primarily use Postgres, redun, and Spark
  • Familiarity with web services and application frameworks such as Django and Flask
  • Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
  • Proficiency in Linux environments including shell scripting and experience with version control practices and tools such as git
  • Passion for making a positive impact through your work
Desired Qualifications
  • Experience with biological data such as DNA sequences, RNAseq, proteomics and microscopy images
  • Experience with medium-sized data sets (100TB+)
  • Experience with the SciPy/PyData ecosystem (numpy, pandas, scipy, dask, etc.)
  • Demonstrated ability to develop novel data engineering methods that go beyond putting together existing code, and to apply problem-solving skills to complex issues
  • Real-world work experience in software development for high-end data processing engines
Insitro

51-200 employees

Data-driven drug discovery & development
Company Overview
Insitro’s mission is to use machine learning and data at scale to transform the way that drugs are discovered and developed for patients. The company is developing predictive machine learning models to discover underlying biologic state based on human cohort data and in-house generated cellular data at scale to advance novel targets and patient biomarkers, design therapeutics, and inform clinical strategy.
Benefits
  • Excellent medical, dental, and vision coverage
  • Excellent mental health and well-being support
  • Open vacation policy
  • Access to free onsite baristas & cafe with daily lunch and breakfast
  • Access to free onsite fitness center
  • Commuter benefits
  • Paid parental leave
  • Competitive pay and 401(k) matching
  • Flexible work schedule (on site and remote)