Scientist I - Computational Biologist / AI/ML ...

Scientist I - Computational Biologist/ AI/ML Researcher - OCTOIf you think you are the right match for the following opportunity, apply after reading the complete description.Themissionof theAllen Instituteis to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, theAllen Institutefocuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.The mission of theOffice 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 motivatedScientistin the Office of the CTO to build large AI/ML models for Biology. Reporting to the Senior Director of AI Applications, you will help develop 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 all of the Allen Institutes 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.The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences and backgrounds. High-quality science can only be produced when it includes different perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for this role.Essential Functions:Assist in developing and deploying ML models that deepen our understanding of complex biological systems in health and diseaseWork with diverse biological datatypes, including multi-omics data, microscopy data, in vivo and behavioral imaging data, electrophysiological data, and clinical dataSupport the promotion of open science through publishing papers and open-source code. Help to establish community standards for scalability in developing, disseminating, and evaluating AI/ML/computational methods for scientific problemsCollaborate with teams of scientists, computational biologists, and software engineers within the Allen Institute and external partnersHelp establish community standards for scalability in developing, disseminating, and evaluating AI/ML/computational methods for scientific problemsContribute to the development of state-of-the-art engineering infrastructure at the Allen Institute to support AI/ML research and applicationsParticipate in institute-wide initiatives, workshops, and seminars to promote cross-disciplinary collaboration and knowledge sharingNote: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management's assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.Required Education And ExperiencePhD in Computer Science, Applied Mathematics, Computational Biology, Statistics, Biostatistics or similar field; or equivalent combination of degree and experienceDemonstrated ability to design, implement and apply AI/ML models for the analysis of large-scale biological dataPreferred Education And Experience1 - 3 years of experience developing and applying ML methodsStrong 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 techniquesExperience building data pipelines to make biological data ML-ready, pipeline for model training and evaluation.? Knowledge of data preprocessing, normalization, and integration techniques specific to biological and clinical datasetsExperience with data visualization and presentation of complex biological findings to both technical and non-technical audiencesStrong problem-solving skills and ability to develop innovative computational approaches to address complex biological questionsPhysical DemandsFine motor movements in fingers/hands to operate computers and other office equipmentPosition Type/Expected Hours of WorkThis 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 all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State.TravelAttendance and participation in national and international conferencesAdditional Comments**Please note, this opportunity offersrelocation assistance****Please note, this opportunity offers work visa sponsorship**Annualized Salary Range$82,650 - $110,200*Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.BenefitsEmployees (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. Details on the Allen Institute's benefits offering are located at the following link to the Benefits Guide: .It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, 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.#J-18808-Ljbffr

Created: 2024-11-06