Automation Scientist (I, II, III)

Reposted 4 Days Ago
Be an Early Applicant
South San Francisco, CA
In-Office
90K-210K Annually
Mid level
Biotech
The Role
The Automation Scientist will develop and optimize lab automation systems, manage QC method requirements, validate assays, and troubleshoot automation issues.
Summary Generated by Built In
Position Summary

We are seeking an Automation Scientist to contribute to the development, implementation, and optimization of innovative lab automation systems to enable robust and efficient high-quality data generation for high-throughput cell therapy manufacturing QC testing.

This hire will work closely with our Automation Engineering, Analytical Development, and Quality Control teams to capture and manage automated QC method requirements and data quality specifications. This hire will have a strong background in laboratory automation, instrumentation, and data analysis methodologies to implement assay optimization and troubleshooting strategies to streamline the transfer of benchtop assays to fully automated end-to-end workflows. This hire will also work with cross-functional teams to develop and implement assay method validation and verification test plans to ensure our systems meet requirements and quality expectations. 

Candidates should enjoy working in a fast-paced, mission-driven environment and be prepared to tackle a broad selection of challenges as the company grows.

Responsibilities

  • Collaborate in the design and development of fully automated QC methods
  • Analyze automation workflows to identify bottlenecks and areas for optimization
  • Troubleshoot and resolve technical issues related to automation systems and instrumentation
  • Develop sample and reagent format and storage management strategies 
  • Coordinate DoEs (Design of Experiments) to optimize assay method parameters
  • Coordinate the validation and verification testing of automated methods to ensure precision, accuracy, and reproducibility of results
  • Implement quality control measures to maintain the high-quality generation
  • Implement troubleshooting methodologies to identify and resolve complex assay method issues

Requirements

  • Master's or Ph.D. in Bioengineering, Biotechnology, Chemistry, Molecular Biology, or a related field
  • 3+ years of relevant experience
  • Experience with assay method development for high-throughput screening
  • Experience with laboratory analytical instruments and automated systems
  • Experience with laboratory information systems (LIMS) and data analysis tools  
  • Familiarity with DoE (Design of Experiments) principles and best practices
  • Strong technical writing skills and experience authoring Standard Operating Procedures (SOPs), documentation, and training materials 
  • Familiarity with GMP compliance requirements
  • Familiarity with statistical analysis software tools 
  • Creative, self-motivated, eager to take on a wide variety of tasks and grow with the evolving technology
  • Self-awareness, integrity, authenticity, and a growth mindset

This is Cellares

Cellares is the first Integrated Development and Manufacturing Organization (IDMO) and takes an Industry 4.0 approach to mass manufacturing the living drugs of the 21st century. The company is both developing and operating integrated technologies for cell therapy manufacturing to accelerate access to life-saving cell therapies. The company’s Cell Shuttle integrates all the technologies required for the entire manufacturing process in a flexible and high-throughput platform that delivers true walk-away, end-to-end automation. Cell Shuttles will be deployed in Cellares’ Smart Factories around the world to meet total patient demand for cell therapies at global scale. Partnering with Cellares enables academics, biotechs, and pharma companies to accelerate drug development and scale out manufacturing, lower process failure rates, lower manufacturing costs, and meet global patient demand.
The company is headquartered in South San Francisco, California with its commercial-scale IDMO Smart Factory in Bridgewater, New Jersey. The company is backed by world-class investors and has raised over $355 million in financing.

Leveling will be based on overall experience, education, and demonstration of knowledge throughout the interview process.

Top Skills

Analytical Instruments
Data Analysis Tools
Laboratory Automation
Laboratory Information Systems (Lims)
Statistical Analysis Software
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: South San Francisco, CA
109 Employees
Year Founded: 2019

What We Do

Cellares is revolutionizing cell therapy manufacturing. We are developing a one-of-a-kind solution, The Cell Shuttle, to overcome the challenges associated with manufacturing so these life-saving therapies are affordable and widely available to patients who can benefit.

The clinical impact of cell therapy in treating cancer has been proven, but this therapeutic approach has several limitations, especially in manufacturing, leaving extremely sick patients waiting for treatment and desperate for hope.
Since cell therapy is currently produced for a single patient at a time, it is expensive to manufacture, requiring significant time and resources, and is difficult to scale.

Preclinical and clinical scientists, as well as commercial cell therapy manufacturers also lack the options to fully automate their manufacturing process quickly, safely, cost-effectively and at the scale they need.

The Cell Shuttle is an automated and closed end-to-end manufacturing solution that is flexible and scalable, enabling customers to run exact processes specified for their cell therapy. Compared with the current manual manufacturing processes for cell therapy, the Cell Shuttle’s next-generation automated manufacturing solution has 10 times the scalability (meaning 10 times more patient doses can be produced simultaneously), enables a three-fold reduction in process failure rates and will reduce the per-patient manufacturing cost by up to 70 percent for most processes.

Similar Jobs

Mastercard Logo Mastercard

Consultant

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
San Francisco, CA, USA
35300 Employees
164K-262K Annually

Anduril Logo Anduril

Designer

Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
In-Office
Costa Mesa, CA, USA
6000 Employees
146K-194K Annually

Capital One Logo Capital One

Senior Data Scientist

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
2 Locations
55000 Employees
145K-166K Annually

Capital One Logo Capital One

Artificial Intelligence Engineer

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
5 Locations
55000 Employees
281K-384K Annually

Similar Companies Hiring

Formation Bio Thumbnail
Pharmaceutical • Healthtech • Biotech • Big Data • Artificial Intelligence
New York, NY
140 Employees
SOPHiA GENETICS Thumbnail
Software • Healthtech • Biotech • Big Data • Artificial Intelligence
Boston, MA
450 Employees
Pfizer Thumbnail
Pharmaceutical • Natural Language Processing • Machine Learning • Healthtech • Biotech • Artificial Intelligence
New York, NY
121990 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account