Principal Scientist

Principal Scientist - Computational Biologist / ML Researcher - OCTOThe 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 ideas to make a broad, transformational impact on science.We are seeking an independent and motivated researcher in the Office of the CTO to build large AI / ML models for Biology. Specifically, you will 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 with diverse biological datatypes, including multi-omics data, microscopy data, in vivo and behavioral imaging data, electrophysiological data, and clinical data. The role is also expected to work collaboratively across all of the Allen Institutes including Brain Science, Cell Science, Immunology, Neural Dynamics, and the Seattle Hub for Synthetic Biology. 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 FunctionsDevelop and deploy ML models that deepen our understanding of complex biological systems in health and diseasePromote open science through publishing papers and open-source codeCollaborate with teams of scientists, computational biologists, and software engineers within the Allen Institute and external partnersAdvance community standards for scalability in developing, disseminating, and evaluating AI / ML / computational methods for scientific problemsLead the development of state-of-the-art engineering infrastructure at the Allen Institute to support AI / ML research and applicationsStay up-to-date with the latest advancements in AI / ML and their potential applications in biological research, ensuring the Allen Institute remains at the forefront of this fieldFoster a collaborative and inclusive work environment that values diversity and encourages participation from team members with different voices, experiences, and backgroundsMentor and guide junior researchers, interns, or students working on AI / ML projects related to biological researchParticipate in institute-wide initiatives, workshops, and seminars to promote cross-disciplinary collaboration and knowledge sharingRequired Education and Experience : PhD in Computer Science, Applied Mathematics, Computational Biology, Statistics, Biostatistics or similar field; or equivalent combination of degree and experience11 years of equivalent experienceDemonstrated ability to design, implement and apply AI / ML models for the analysis of large-scale biological dataPreferred Education and Experience : 15 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 PandasSolid 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 evaluationKnowledge of data preprocessing, normalization, and integration techniques specific to biological and clinical datasetsExperience with distributed computing for ML models, (e.g. distributing load across multiple nodes, Ray, HPC, Distributed PyTorch, etc.)Experience 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 questionsProven ability to work independently and manage multiple projects simultaneously while meeting deadlinesExcellent written and verbal communication skills, with the ability to collaborate effectively in a multidisciplinary team environmentPhysical DemandsFine motor movements in fingers / hands to operate computers and other office equipment; repetitive motion with lab 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 offers relocation assistance
• Please note, this opportunity offers work visa sponsorship
• Annualized Salary Range$174,000 – $232,000
• Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.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

Salary : $174,000 - $232,000