AI Research Engineer Job at Xaira Therapeutics, Washington DC

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  • Xaira Therapeutics
  • Washington DC

Job Description

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.

About the Role

We are seeking a skilled research engineer to join our team. As a critical member of our interdisciplinary group, you will collaborate closely with AI scientists, 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. 

We welcome candidates with diverse backgrounds and experiences. Whether you are an entry-level candidate eager to learn and grow, a mid-level professional seeking new challenges, or a seasoned expert looking to make a significant impact, we encourage you to apply.

The role is open to the following locations:  San Francisco Bay Area, Seattle and London.

Qualifications


  • Bachelor's degree in Computer Science, Engineering, or related fields.

  • Minimum of two 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, and experience with relevant libraries, toolchain and frameworks for AI model development.

  • Strong understanding of deep learning fundamentals, including neural network architectures, optimization techniques, and evaluation metrics.

  • Familiarity with drug discovery processes, computational chemistry, or bioinformatics is desirable.

  • Excellent problem-solving skills, with a keen eye for detail and a passion for tackling complex challenges in healthcare.

  • 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.

  • Experience working and communicating cross-functionally on an interdisciplinary team.

  • Publication track record at conferences such as NeurIPS, ICML, ICLR, etc.

  • If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply!

 

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $160,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Job Tags

Remote job, Full time, Flexible hours,

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