Staff Data Scientist-Lead

Wondering what's within Beckman Coulter Diagnostics? Take a closer look.

At first glance, you'll see that for more than 80 years we've been dedicated to advancing and optimizing the laboratory to move science and healthcare forward. Join a team where you can be heard, be supported, and always be yourself. We're building a culture that celebrates backgrounds, experiences, and perspectives of all our associates. Look again and you'll see we are invested in you, providing the opportunity to build a meaningful career, be creative, and try new things with the support you need to be successful.

Beckman Coulter Diagnostics is proud to work alongside a community of six fellow Diagnostics Companies at Danaher. Together, we're working at the pace of change to improve patient lives with diagnostic tools that address the world's biggest health challenges.

The lead data scientist for Beckman Coulter Diagnostics is responsible for development, implementation, and maintenance of various biological algorithms; The lead data scientist will have an expert knowledge of analyzing complex biological datasets (growth curve analysis; timeseries; signal detection and processing); machine learning (both traditional and neural network frameworks), and advanced statistical concepts. Similarly, the data scientist will have a history of successfully implementing and deploying ML/DL models in a production environment especially in a regulated medical device space.

This position is part of the data science located in Sacramento, California and will be fully remote. The lead data scientist will be a part of the data science team and report to the data science manager responsible for developing tools for processing, analyzing and visualization of complex biological data. If you thrive in a cross functional team and want to work to build a world-class biotechnology organization-read on.

In this role, you will have the opportunity to:

• Develop and implement tools to visualize microbial growth patterns; detect anomalies/errors in datasets; analyze post-modeling performance.
• Build, manage and automate various machine learning and biological algorithm pipelines.
• Collaborate with software engineers, microbiologists, and other stakeholders with the goal of productionizing and maintaining ML/DL models.
• Deploy and operationalize MLOps with focus on model onboarding, operations, and monitoring of workflows; model evaluation and explainability, optimization of model hyperparameters, version control; automation and scheduling of model training.
• Provide best practices, executing POC for automated model operations at scale; design benchmarks, metrics, and monitoring to measure and improve services.
• Point of contact for IT and vendors, creating and deploying tools and environment for different project phases

The essential requirements of the job include:

• Master's degree OR Doctorate degree in a highly quantitative field (Computer Science, Statistics, Mathematics, Bioinformatics, Computational Biology, Microbiology, Software Engineering, Biological/Chemical Engineering)
• 10+ years developing and implementing machine learning/deep learning models in a regulated medical device field (design controls for ML in certified medical systems)
• 8+ years demonstrable experience in experimental design and statistical analysis - sample size calculation, hypothesis test/power analysis
• 8+ years analyzing and visualizing complex biological datasets; signal detection and processing; timeseries and growth curve analyses.
• 6+ years optimizing and productionizing machine learning pipelines.
• 6+ years' experience working with Python/C++/R, Spark framework, PyTorch, TensorFlow, Sckitlearn, AWS technologies like SageMaker, Redshift, S3, EC2
• Demonstrated track record of working with subject matter experts and stakeholders in clarifying the capabilities and limitations of data science tools in solving problems.

It would be a plus if you also possess previous experience in /familiarity with:

• Rapid Antibiotic Susceptibility Testing (Rapid - AST)
• Transfer learning, transformer, LSTM, RNN, CNN, CatBoost, XGboost, sample size calculation
• Software engineering development cycle and deep knowledge of MLOps/DevOps workflows and tools, such as Kubernetes, model containerization, and GPU-based models

The salary range OR the hourly range for this role is 135-150k. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future.

This job is also eligible for bonus/incentive pay.

We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

When you join us, you'll also be joining Danaher's global organization, where 80,000 people wake up every day determined to help our customers win. As an associate, you'll try new things, work hard, and advance your skills with guidance from dedicated leaders, all with the support of powerful Danaher Business System tools and the stability of a tested organization.

Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

The EEO posters are available here.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at [email protected] to request accommodation.

If you've ever wondered what's within you, there's no better time to find out.