Post a job

Artificial Intelligence Scientist

TB

Location
United States
Transcripta Bio

Job Description

Overview

Rarebase is an early-stage biotechnology public benefit corporation based in Palo Alto, California working to advance personalized medicine for the thousands of genetic diseases that have no effective treatments. We operate at the intersection of technology and biology, collaborating closely with patient communities to ensure that drug discovery and development is aligned with our shared goals - to bring effective treatments to the clinic as quickly and safely as possible.

Our Function™ drug and target discovery platform integrates cellular modeling of disease with functional genomics, high throughput screening, high content imaging and computational biology to identify molecules that address the underlying biology of genetic diseases. To support Function’s rapid growth, we are building a next-generation automated lab and are recruiting a San Francisco Bay Area-based scientific team to be intimately involved in its development.

Rarebase is backed by top-tier institutional investors, pharma and biotech angel investors, families personally affected by rare disease, and others that truly care about our mission to re-invent therapeutic development for genetic diseases. Our advisors are leaders in the biotech and genetic disease community.

The Opportunity

We’re looking for an Artificial Intelligence Scientist to lead the development of new AI systems to predict therapies for rare diseases, and assist in the design, execution and scale-up of an optimized experimental-computational platform identifying compounds for pediatric neurological disorders, among others.

The ideal candidate will have experience with existing and emerging artificial intelligence algorithms and possess the skills to quickly develop approaches for new applications.

This individual in this role will work closely with the broader discovery team of computational biologists, data engineers and scientists to build and optimize the analysis and modeling pipeline to support our work.

As an early member of Rarebase’s computational biology team, you will be joining a biotech startup that has long term stability but yet is very much in formation, providing many opportunities for significant growth and impact. You will also work alongside a multidisciplinary team and an outstanding team of scientists focused on conducting inventive and innovative science that will lead to the discovery of novel medicines.

What you’ll do

  • Apply your expertise with AI and machine learning to develop robust, validated predictive models of therapeutic response from diverse biological datasets

  • Create novel pipelines and/or algorithms to identify optimal therapies

  • Contribute creatively to the company’s strategy, helping drive new discovery for rare diseases

  • Champion ideas for new approaches to prediction and process automation

  • Collaborate closely with the broader computational team including bioinformatics scientists, computer vision / image specialists, computational neuroscientists, and data engineers, and the science team (neuroscientists, high-throughput biologists, clinical design experts)

  • Communicate data and scientific results to both internal and external audiences with a high degree of sophistication.

What you’ll bring

  • PhD in Computer Science, Data Science, Electrical Engineering, Computational Biology, Bioengineering, Systems Engineering, or related disciplines

  • 5+ years of hands-on experience working with AI methods in an industrial, clinical or academic setting

  • Track record of developing and implementing novel AI algorithms

  • Track record of handling mixed, very high-dimensional data types (e.g., time-series, images, sequencing data, continuous/categorical, meta-data)

  • Track record of versatile programming experience and tool design

  • Experience with life-long learning approaches

  • Experience programming in Python and ability to quickly learn new languages and tools

  • Knowledgeable about version control, code documentation and best practices

  • Experience with Explainable AI (XAI), FAIR practices, and automating the design of test/training sets a plus

  • Experience mining and integrating databases and developing data visualizations a plus

  • Experience working in therapeutic discovery, rare diseases, developmental biology or neuroscience is a plus

  • Excellent communication and interpersonal skills with an ability to work both independently and in a team environment

  • A relentless drive and curiosity coupled with great resilience and adaptability

What we offer

  • An opportunity to work closely with a cutting-edge, interdisciplinary technology team and patient organizations on translational research

  • Premium health and dental insurance

  • Competitive salary and equity in a growing, well-funded startup

  • Generous vacation policy

Advice from our career coach

As an experienced applicant for the Artificial Intelligence Scientist position at Rarebase, it is crucial to showcase your expertise and experience in AI and machine learning, along with a track record of implementing novel algorithms. Additionally, highlighting your hands-on experience with diverse biological datasets and high-dimensional data types will set you apart. Here are some key tips to stand out as an applicant:

  • Highlight your PhD in a relevant field such as Computer Science or Computational Biology, along with 5+ years of experience in AI methods.
  • Showcase your track record of developing and implementing novel AI algorithms.
  • Emphasize your experience with versatile programming and tool design, as well as your knowledge of version control and best practices.
  • Demonstrate your ability to work both independently and in a team environment, along with excellent communication and interpersonal skills.
  • Consider mentioning any experience working in therapeutic discovery, rare diseases, developmental biology, or neuroscience as a plus.
  • Include any additional experience with Explainable AI (XAI), FAIR practices, or data visualization, as well as your ability to quickly learn new languages and tools.

Apply for this job

Expired?

Please let Transcripta Bio know you found this job with RemoteJobs.org. This helps us grow!

About the job

Sep 4, 2024

Full-time

  1. US United States
RemoteJobs.org mascot