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

You match the following Insitro's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
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 specializes in drug discovery and development by using machine learning and biological tools to predict successful paths for new medicines. The company creates predictive models that help avoid costly failures in pharmaceutical research. Its team of scientists and engineers collaborates to generate data that enhances the drug development process. Insitro aims to improve the efficiency and effectiveness of pharmaceutical R&D for its clients, which include pharmaceutical companies and research institutions.

Company Stage

Series C

Total Funding

$625.5M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

3%

1 year growth

3%

2 year growth

7%
Simplify Jobs

Simplify's Take

What believers are saying

  • Insitro received $25 million from Bristol Myers Squibb for ALS target discovery.
  • The company raised over $600 million in venture capital funding.
  • Insitro appointed AI expert Emily Fox as Senior VP of AI/ML.

What critics are saying

  • Competition from well-funded companies like Xaira Therapeutics challenges Insitro's market position.
  • Ethical concerns in AI drug development may affect Insitro's public perception.
  • Data privacy issues could lead to regulatory challenges for Insitro.

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 team combines expertise in science, engineering, and drug discovery.

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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