Ordaos is seeking an experienced AI Scientist to be a part of our ongoing mission to create bespoke mini-proteins to help drug hunters deliver life-saving treatments. Ordas is a human-enabled, machine-driven drug design company made up of interdisciplinary thinkers who are passionate about technology and biomedicine. We are hiring immediately.

Ordaos has an immediate need for an AI Scientist II interested in working within a hybrid environment in New York City. Reporting to the Senior VP of Engineering, this team member will drive deep learning projects through close collaboration with industry leading experts to reshape, test, and extend our pipeline of generative modeling for drug discovery.

We are looking for individuals who are curious about innovation in drug discovery, agile in their approach to problem solving, and bold in the execution of their work.

Job Functions:

Develop algorithms and models to solve complex problems with biological data
Contribute to the enhancement and extension of all our machine learning pipelines and environment
Prototype and validate analyses and solutions using or enhancing existing methodologies, frameworks, and architectures

Keep up to date with the state-of-the-art machine learning models and techniques
Present the latest research in deep learning and participate in discussion on how to implement these techniques
Contribute to building a culture that embraces scientific excellence and integrity with a sense of urgency and collaboration with key stakeholders

Requirements

Required:

MS +2 years of work experience or PhD in computer science, biostatistics, mathematics, or related field
Expertise in developing new machine learning algorithms and tools

Strong fundamentals in problem solving, algorithm design, model building, and statistical analysis
Proficiency developing large scale models using modern deep learning packages (e.g., PyTorch, TensorFlow)
Skilled in explaining and presenting analyses and machine learning concepts to a broad audience
Comfort working as an individual contributor and as a member of a multidisciplinary team
Comfort collaborating with a multidisciplinary team
Passion for applying machine learning to create products that improve the lives of others

Preferred:

Experience building scalable end-to-end machine learning systems with cloud computing services (e.g. GCP, Azure)
Demonstrated interest in applying AI to health-related problems and data, via publications or projects

Benefits

Competitive healthcare coverage through Blue Cross Blue Shield, dental and vision through Guardian Healthcare
401k (traditional and Roth offered) with 100% match up to first 4% of pay
10 days paid vacation and 5 sick days per year, in addition to 12 company paid holidays or floating holidays
Annual budget of $4000 per employee for continuing education and professional development
Free annual corporate membership to Citibike
Monthly commuter benefits up to $130
Free teletherapy sessions through Talkspace
Company funded meals and events