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Closed listing

Noetik

Data Scientist, Data Platform

San Francisco, CA, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: Oct 15, 2026

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Original job description

Archived listing. The details below describe a past opening.

WHY NOETIK

NOETIK is a frontier therapeutics company harnessing AI to deeply understand human biology and redefine clinical outcomes in oncology. Leveraging the largest proprietary multimodal oncology dataset of its kind, uniquely integrating deep spatial profiling with routine clinical assays, NOETIK’s foundation AI models precisely match therapeutic targets to patient subpopulations and accurately predict clinical efficacy. This AI-first approach elevates therapeutic development from probabilistic guesswork to precision science.

THE OPPORTUNITY

At Noetik, you’ll work alongside a highly technical, interdisciplinary team tackling hard and impactful problems. We’re looking for people who are excited to engage deeply, move with urgency, and make a meaningful impact.

You’ll join a high-caliber team building systems and conducting research at the forefront of AI. At Noetik, AI is at the heart of everything we do: we generate proprietary data purpose-built for machine learning, build systems for advanced ML research, train large foundation models from scratch, and center our drug discovery efforts around these models. AI isn’t a buzzword here - it’s core to our company and key to deciphering complex biology to make a difference for patients.

KEY RESPONSIBILITIES

• Build and productionize scientific data pipelines: Develop robust Python-based pipelines to process, transform, validate, and organize large-scale scientific datasets, particularly imaging and multimodal data.

• Develop image and scientific data processing methods: Create approaches for normalization, registration, segmentation, feature extraction, quality control, and other dataset-specific transformations.

• Own end-to-end software development: Take pipelines and software from initial development through production deployment, operation, and continuous improvement.

• Design data models and schemas: Build metadata schemas, data models, and programmatic interfaces that make complex scientific datasets easy to understand, query, version, and use.

• Collaborate across disciplines: Partner with software engineers, ML researchers, and scientific teams to determine how new data types should be processed and integrated into Noetik’s broader data platform.

• Build reusable tools and libraries: Develop tooling that enables processing methods to be applied consistently and efficiently across increasingly large datasets.

• Improve data processing workflows: Identify opportunities to improve correctness, scalability, reproducibility, and efficiency.

• Scale computational workloads: Use distributed computing and cloud infrastructure to support computationally intensive processing across large datasets.

• Leverage AI development tools: Use modern AI coding tools and agents throughout the engineering workflow to accelerate implementation, debugging, analysis, testing, exploration, and maintenance.

QUALIFICATIONS

• Strong Python programming skills and the ability to build high-quality, maintainable software beyond notebooks and exploratory analysis.

• Experience developing data processing, scientific computing, image processing, or computational pipelines that are used and relied on by others.

• Strong understanding of data modeling, relational databases, metadata, schemas, dataset versioning, and reliable data access for downstream users.

• Experience working with image processing, computer vision, microscopy, medical imaging, remote sensing, or other large-scale image datasets.

• Strong quantitative and computational problem-solving skills, including the ability to evaluate unfamiliar datasets and determine appropriate processing and validation approaches.

• Experience writing tested, reusable, production-quality software and following standard engineering practices, including version control, code review, and automated testing.

• Ability to learn quickly and navigate problems spanning data science, software engineering, and scientific computing.

• Comfortable using AI coding tools and agents as a core part of the development process while maintaining a high bar for correctness, maintainability, and understanding.

• Collaborative and low ego, with a focus on solving problems as a team and finding the best solution.

NICE TO HAVE

• Experience developing image processing methods for registration, segmentation, normalization, feature extraction, or image quality control.

• Experience with large-scale or distributed data processing using Ray, Dask, Spark, or similar frameworks.

• Experience with PostgreSQL, AWS, cloud object storage, or modern data platform technologies.

• Experience integrating machine learning models into scientific or image processing pipelines.

• Experience working with biological, biomedical, or other complex scientific datasets.

• Background in biotech, pharma, scientific computing, medical imaging, industrial imaging, or another technically rigorous, data-intensive environment.

Life@Noetik

Great science is a team sport. We are focused on creating a culture where brilliant people from different backgrounds can solve hard problems together. At Noetik, culture isn't just about perks; it’s about building a vibrant, collaborative community where everyone has the tools and the autonomy to thrive.

How We Work

Location & Collaboration: our primary lab and office space is located in South San Francisco. We operate as a hybrid organization, utilizing Slack, Zoom, and a modern tech stack to stay seamlessly connected regardless of time zone.

Intentional Connection: we believe that high-impact work requires intentional time together. We keep the team aligned through monthly All-Hands meetings and Quarterly Co-working Weeks at our South San Francisco office. Once a year, we gather for an Annual Reset - a week-long offsite dedicated to high-level strategy, collaboration and team bonding. Past locations have included Austin, TX, Park City, UT, and Boulder, CO.

Onsite Community: For team members working onsite, we foster a collaborative environment and refuel with daily catered lunches from great local restaurants and Boba Thursday - a small but meaningful tradition where we step away from our desks to connect over a break.

How We Support You

Health & Wellbeing: we provide generous health, dental, and vision insurance, with premiums fully covered for both employees and their dependents (depending on your plan choice). Our coverage is designed to be comprehensive and accessible, featuring modern care platforms like OneMedical, Midi Health, Spring Health, and XP Health. To further support your needs, we offer HSA and FSA accounts, dependent care savings, an EAP, resources for mental health (Rula), and health care navigation and advocacy (Rightway).

Time Off & Synchronized Breaks: we offer Flexible PTO to manage your personal time, alongside nine paid holidays. We also offer synchronized breaks so that the team can fully unplug simultaneously - two full-week company breaks (the first week of July and the last week of December), plus the Friday after Thanksgiving.

Compensation & Financial Benefits: our financial package includes a competitive base salary, stock options, and a 401(k) plan with an employer match. We provide a safety net through fully-covered disability, life and AD&D insurance, as well as generous parental leave. We also offer a suite of financial and lifestyle tools, including SoFi, Multiply Mortgage, and optional programs for pet insurance, legal services, and identity theft protection.

We believe that the highest performing teams include people from a wide variety of backgrounds and experiences who respectfully challenge each other. We are committed to an open, diverse and inclusive culture for all employees. Noetik is proud to be an equal opportunity employer and does not discriminate on the basis of race, color, citizenship status, national origin, ancestry, sex, sexual orientation, age, religion, creed, physical or mental disability, medical condition, marital status, veteran status and any other characteristics protected under applicable federal, state and local laws.

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