Scientific Data Engineer II - Data Scientist – 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 ideas to make 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 data scientist in the Office of the CTO AI Applications group. This position will work closely with AI researchers, researcher scientists and engineering teams to build large AI/ML models for Biology and the computational infrastructure to support these models. 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 Allen Institute teams including Brain Science, Cell Science, Immunology, Neural Dynamics, and the Seattle Hub for Synthetic Biology.

At the Allen Institute, we believe 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 believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place 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 all backgrounds to apply for our open positions.

Essential Functions

Contribute to ML models that deepen our understanding of complex biological systems in health and disease, including data wrangling, data curation, and data validation for AI/ML models
Lead data management, software infrastructure and AI/ML workflow best practices and policies
Participate in institute-wide initiatives, workshops, and seminars to promote cross-disciplinary collaboration and knowledge sharing
Promote open science through publishing papers and open-source code
Advance community standards for scalability in developing, disseminating, and evaluating AI/ML/computational methods for scientific problems
Foster a collaborative and inclusive work environment that values diversity and encourages participation from team members with different voices, experiences, and backgrounds

Note: 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 Experience

Bachelor’s in Computer Science, Applied Mathematics, Computational Biology, Statistics, Biostatistics or similar field; or equivalent combination of degree and experience
2-5 years of relevant experience
Demonstrated ability to design, implement and apply AI/ML models and/or the infrastructure to support large FMs trained on large-scale biological data

Preferred Education and Experience

Master’s degree in Computer Science, Applied Mathematics, Computational Biology, Statistics, Biostatistics or similar field
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
Experience building and supporting the computational infrastructure needed for FMs
Knowledge of data preprocessing, normalization, and integration techniques specific to biological and clinical datasets
Strong problem-solving skills and ability to develop innovative computational approaches to address complex biological questions
Proven ability to work independently and manage multiple projects simultaneously while meeting deadlines
Excellent written and verbal communication skills, with the ability to collaborate effectively in a multidisciplinary team environment

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 all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State.

Travel

Attendance and participation in national and international conferences as appropriate

Additional Comments

**Please note, this opportunity does not offerrelocation assistance**
**Please note, this opportunity does not offer work visa sponsorship**

Annualized Salary Range

$104,050 - $128,700

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. Details on the Allen Institute’s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.

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.

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Scientific Data Engineer II (Data Scientist)

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