Internship

Software Engineering Intern

Posted on 2/13/2024

Insitro

Insitro

201-500 employees

Machine learning for drug discovery efficiency

AI & Machine Learning
Biotechnology

Compensation Overview

$55 - $65Hourly

San Bruno, CA, USA

This job posting does not specify a particular location or travel requirements.

Category
AI & Machine Learning
Software Engineering
Required Skills
Python
Git
Apache Spark
SQL
AWS
Pandas
Hadoop
Flask
NumPy
Linux/Unix
Django
Google Cloud Platform
Requirements
  • Working towards a BS, MS, or Ph.D. in an engineering, mathematics or a life sciences discipline
  • Experience in one or more general-purpose programming languages, primarily Python
  • Ability to write high-quality code as demonstrated by prior experience, Github account or personal webpage
  • Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
Responsibilities
  • Ship stuff that makes scientists say 'this is amazing, thank you so much!'
  • Collaborate with folks from machine learning, automation, and biology groups
  • Directly shape the roadmap for empowering scientists
  • Write code, write and review design docs, talk to collaborators, and do code reviews
  • Move the needle in a meaningful way for insitro and the field of medicine
Desired Qualifications
  • Experience with biological data (e.g. DNA sequences, RNAseq, proteomics, microscopy)
  • Experience in Linux environment, database languages (e.g., SQL, No-SQL) and version control practices and tools such as Git or Mercurial
  • Familiarity with the SciPy/PyData ecosystem (numpy, pandas, scipy, dask etc.)
  • Familiarity with web services and application frameworks (Django, Flask)
  • Familiarity with cloud computing services (AWS or GCP)
  • Familiarity with data pipelines, workflow engines, distributed computing technologies (Spark, Hadoop, etc)

Insitro focuses on drug discovery and development in the pharmaceutical research sector. The company utilizes machine learning and biological tools to create predictive models that help identify successful paths for developing new medicines. By doing so, Insitro aims to minimize the costly failures that often occur in pharmaceutical R&D. Their team, which includes scientists and engineers, collaborates to generate and analyze data to enhance the drug discovery process. Unlike traditional methods that rely heavily on intuition, Insitro's approach is data-driven and seeks to provide more accurate predictions. The company primarily serves pharmaceutical companies, healthcare providers, and research institutions, potentially offering their predictive models and insights as a revenue stream. The goal of Insitro is to improve the efficiency and effectiveness of drug development, ultimately leading to better medicines.

Company Stage

Series C

Total Funding

$625.5M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

8%

1 year growth

21%

2 year growth

48%
Simplify Jobs

Simplify's Take

What believers are saying

  • Insitro received $25 million from Bristol Myers Squibb for achieving discovery milestones.
  • The company raised over $600 million in venture capital funding.
  • Insitro's collaboration with pharmaceutical firms enhances shared expertise and resources.

What critics are saying

  • Increased competition from well-funded companies like Xaira Therapeutics challenges Insitro's market position.
  • Ethical concerns in AI-based drug development may lead to regulatory scrutiny.
  • Reliance on milestone payments could create financial instability if targets aren't met.

What makes Insitro unique

  • Insitro integrates machine learning with high-throughput biology for drug discovery.
  • The company builds predictive models to accelerate target selection and drug development.
  • Insitro's approach reduces expensive failures in pharmaceutical R&D processes.

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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)

INACTIVE