Position - Data Scientist

Mission Statement

Through single-cell biology, computational biology, and artificial intelligence, Immunai is reprogramming the immune system to develop improved drugs and therapeutics.

Background

Immunai was founded in December 2018. We are a multidisciplinary team of immunologists, genomics technologists, computer scientists, engineers, mathematicians and operators singularly focused on solving an audacious challenge. Backed by some of the leading scientific minds in immunology, oncology, and single cell genomics, we are up for the challenge.

Immunai has begun the process of mapping millions of immune cells and their functions in order to build a proprietary data set for clinical immunological data. The immune system mapping will play an important role in boosting R&D efforts in developing targeted therapies for different diseases. The company noted that the immune system consists of trillions of cells that are divided into different cell types that perform different functions. Because of the complexity of the system, it can be difficult to determine how drugs will interact with the immune cells. This increased understanding can be used to boost clinical response to different cellular therapies.

Immunai’s mission is to map the immune system with neural networks and transfer learning techniques informed by deep immunology knowledge. We developed the tools and knowhow to help every immuno-oncology and cell therapy researcher excel at their job. This helps increase the speed in which drugs are developed and brought to market by elucidating their mechanisms of action and resistance.

Location - New York, NY or Tel-Aviv, Israel

For details - www.immunai.com

Reports to - ML Lead

Responsibilities

  • Develop new methods to assess how well our computational processes are performing
  • Develop, train, and debug new supervised and unsupervised models needed throughout our workflow
  • Collaborate with computational biologists and immunologists to generate therapeutic insights from our proprietary methods and data assets
  • Help maintain and improve our production computational pipelines
  • Own the analysis workflows end-to-end from initial hypothesis generation to execution to final figure generation and presentation

 

Qualifications

  • MS in relevant computational and/or biologic field (genetics, computational biology)
  • 3+ years of relevant industry experience
  • Experienced in working with and large and/or complex datasets
  • Experienced in sophisticated data analysis, metrics design, and statistical analysis
  • Experienced writing high-quality pipeline and notebook code
  • Experienced in communicating analytical results to broader audiences
  • Proven ability to learn new domains, tools, and concepts quickly
  • Fluent in Python and modern ML libraries like scikit-learn, pytorch, keras/tensorflow
  • Familiarity with modern computational tools & infrastructure like AWS/GCP, Docker, git
  • Demonstrated track record working on a multidisciplinary team to deliver on ambitious projects with incomplete specifications
  • Adept in ambiguous situations, flexible and comfortable making decisions using minimal available data
  • Comfortable working independently with minimal supervision
  • Bonus: experience analysing (single-cell) genomics datasets, R proficiency

Desired Personal traits

  • You want to make an impact on humankind
  • You prioritize “We” over “I”
  • You enjoy getting things done - with super high quality
  • You collaborate effectively with people of diverse backgrounds and cultures
  • You have superior skills and experience, and constantly strive to be world-class in what you do
  • You constantly challenge your own assumptions, pushing for continuous improvement
  • You have a growth mindset
  • You make decisions that favor the company, not yourself or your team
  • You are candid, authentic, and transparent

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