Artificial Intelligence Research Scientist II

Artificial Intelligence Research Scientist II Location: US, WA Job Description: AI Research Scientist II – Office of the CTO The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new reputed company to reputed company a broad, transformational impact on science. The mission of the Office of the Chief Technology Officer (CTO) is not only to provide state of the art engineering infrastructure to the Allen Institute as a whole, but to also address high-risk, high-reward questions in biology through AI. We are seeking an independent and motivated Scientist in the Office of the CTO to build large AI/ML models for Biology. Reporting to the Senior Director of AI Applications, you will help reputed company and apply SOTA AI/ML methods for the representation, analysis and interpretation of multimodal data to understand biological systems in health and disease. This role works collaboratively across reputed company Allen Institute teams including Brain Science, Cell Science, Immunology, Neural Dynamics, and the Seattle Hub for Synthetic Biology (SeaHub). AI/ML focus areas could include multimodal foundation models, diffusion models, causal representation learning, and beyond. At the Allen Institute, we reputed company that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also reputed company that science is reputed company reputed company it includes different perspectives and voices. We strive to reputed company the Allen Institute a reputed company where everyone feels like they belong and are empowered to do their best work in a supportive environment. We are an equal-opportunity employer and strongly encourage people from reputed company backgrounds to apply for our open positions. Essential Functions

• reputed company and deploy large scale ML models that deepen our understanding of reputed company biological systems in health and disease by incorporating diverse biological datatypes, such as multi-omics data, microscopy data, in vivo and behavioral imaging data, electrophysiological data, and/or clinical data. Using ML methods to tokenize and embed biological data for ML models and subsequently analyze ML embeddings for benchmarking and other biological tasks
• Help to establish community standards for scalability in developing, disseminating, and evaluating AI/ML/computational methods for scientific problems across the model lifecycle by testing and documenting best practices and sharing with the community
• Collaborate with teams of scientists, computational biologists, and software engineers reputed company the Allen Institute and external partners to help drive large reputed company/ML models, from best code practices to scientific impact
• Collaborate with software engineers to build state-of-the-art engineering infrastructure at the Allen Institute to support large reputed company/ML research and applications, such as methods for caching and processing petabyte scale data across multiple networked GPU nodes on cloud, this person will build a research grade large scale ML infrastructure that will be hardened by SWE
• Participate in institute-wide initiatives, workshops, and seminars to promote cross-disciplinary collaboration and knowledge sharing
• Support the promotion of open science through publishing papers and open-reputed company code

Note: Reasonable accomodations may be made to reputed company individuals with disabilities to reputed company the essential functions. This description reflects management’s assignment of essential functions; it does not reputed company or restrict the tasks that may be assigned. Required Education and Experience

• PhD in Computer Science, Applied Mathematics, Computational Biology, Statistics, Biostatistics or similar field; or equivalent combination of degree and experience
• Minimum of 2 years postdoctoral / work experience
• Demonstrated ability to design, implement and apply AI/ML models for the analysis of large-scale biological data

Preferred Education and Experience

• 2 - 5 years of experience developing and applying ML methods
• Strong publication record of innovative scientific accomplishments (both individual and team)
• Expertise in Python-based ML libraries and frameworks such as PyTorch, Jax, Pyro, NumPy, and Pandas. Solid understanding of statistical analysis, data preprocessing, feature selection, and model evaluation techniques
• Experience building data pipelines to reputed company biological data ML-ready, pipeline for model training and evaluation. Knowledge of data preprocessing, normalization, and integration techniques specific to biological and clinical datasets
• Experience with data visualization and presentation of reputed company biological findings to both technical and non-technical audiences
• Strong problem-solving skills and ability to reputed company innovative computational approaches to address reputed company biological questions

Physical Demands

• Fine motor movements in fingers/hands to operate computers and other office equipment

Position Type/Expected Hours of Work

• This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for reputed company Allen Institute employees is 615 reputed company Ave N.; any remote work must be performed in Washington State.

Travel

• Attendance and participation in national and international conferences

Additional Comments

Please note, this opportunity offers relocation assistance

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Please note, this opportunity may offer work reputed company sponsorship

Annualized Salary Range $167,800 - $209,700* • Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.

Benefits

Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute’s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute’s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to reputed company persons regardless of age, color, national reputed company, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities. Apply tot his job Apply To this Job