Abata Therapeutics

Senior/ Staff Research Engineer

London, England, United Kingdom

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, Pharmaceuticals, Artificial Intelligence, Drug DiscoveryIndustries

AI Research Engineer

Employment Type: [Not Specified] Location Type: [Not Specified] Salary: [Not Specified]

About Xaira Therapeutics

Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.

Position Overview

We are seeking an experienced AI Research Engineer to join our team and lead some of our efforts in building the AI powered future of drug discovery. As a senior member of our interdisciplinary group, you will collaborate closely with AI scientists, other engineers, and drug discovery experts to help develop AI models to accelerate the identification and development of novel therapeutics. This role offers a unique opportunity to leverage cutting-edge AI techniques to address pressing challenges in healthcare and contribute to improving human health globally.

Key Responsibilities

  • Drive the development of state-of-the-art AI models for drug discovery tasks, leveraging deep learning frameworks.
  • Scale distributed training of large AI models on GPUs.
  • Profile and optimize AI models in training and inference contexts.
  • Stay abreast of the latest advancements in AI, machine learning and proactively identify opportunities for innovation and improvement.
  • Contribute to technical documentation, reports, and presentations to communicate findings, methodologies, and insights clearly and effectively.
  • Provide deep technical leadership on the development and optimization of core AI models that power our drug discovery efforts.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related fields.
  • 7+ years of industry experience in AI, machine learning, or related roles, with a track record of successfully implementing and deploying AI models in production environments.
  • Proficiency in programming languages such as Python, C++ and deep expertise with frameworks such as PyTorch/Jax.
  • Strong understanding of deep learning fundamentals, including neural network architectures, optimization techniques, and evaluation metrics.
  • Experience in distributed training and inference of large scale AI models on thousands of GPUs using DDP, FSDP etc.
  • Experience with performance optimization of large scale AI models.
  • Effective communication and collaboration abilities, with the capacity to work effectively in a fast-paced, multidisciplinary team environment.
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.

Preferred Qualifications

  • Publication track record at conferences such as NeurIPS, ICML, ICLR, etc.
  • Experience working and communicating cross-functionally on an interdisciplinary team.
  • Experience with different GPU architectures, cloud environments and investigating tradeoffs.
  • Experience with low-level hardware optimization and with custom CUDA kernels.
  • Contributions to open source projects.

Benefits

  • Opportunity to make a meaningful impact by contributing to groundbreaking research at the intersection of AI and healthcare.
  • Competitive compensation package, including salary, bonuses, and benefits.
  • Professional development opportunities, including access to conferences, workshops, and training programs.
  • A collaborative and inclusive work culture that values diversity, creativity, and continuous learning.
  • Chance to work with and develop cutting-edge technologies and contribute to projects with significant societal benefit.

If you are a motivated individual with a passion for applying AI to advance drug discovery, we encourage you to apply.

Skills

AI
Machine Learning
Deep Learning
Generative AI
Drug Discovery
Distributed Training
GPU
Model Optimization
Technical Documentation
Research

Abata Therapeutics

Develops therapies for autoimmune diseases

About Abata Therapeutics

Abata Therapeutics develops therapies for autoimmune diseases, focusing on type 1 diabetes. Their main product, ABA 201, is a Treg cell therapy aimed at patients with some remaining beta cell function. This therapy works by utilizing regulatory T cells to improve patient outcomes. Unlike many competitors, Abata targets a specific niche within the autoimmune disease market and collaborates with partners like ElevateBio for process development and manufacturing. The company's goal is to transform treatment options for autoimmune diseases through advanced research and development.

Cambridge, MassachusettsHeadquarters
2021Year Founded
$184.8MTotal Funding
EARLY_VCCompany Stage
BiotechnologyIndustries
11-50Employees

Risks

Intensifying competition from companies like Sangamo Therapeutics may impact Abata's market share.
Stringent FDA scrutiny on manufacturing could delay Abata's clinical trials.
Rising clinical trial costs pose financial risks to Abata's pipeline progression.

Differentiation

Abata focuses on Treg cell therapies for autoimmune diseases like MS and diabetes.
Their lead product, ABA 201, targets type 1 diabetes with remaining beta cell function.
Abata's strategic partnership with ElevateBio enhances their manufacturing capabilities.

Upsides

Recent investment from Bristol Myers Squibb boosts Abata's Treg therapy pipeline development.
FDA's accelerated approval pathways may expedite Abata's clinical trials.
Growing autoimmune disease prevalence increases demand for Abata's innovative treatments.

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