Systems Validation Scientist Job at MillenniumSoft Inc (San Jose)

Sr. Systems Validation Scientist, Flow Cytometrist

Client Biosciences is seeking a flow cytometrist who is excited to apply their f...

Location

United States , San Jose

Salary:

65.00 - 70.00 USD / Hour

MillenniumSoft Inc

Expiration Date

Until further notice

Requirements

Must have 5 years’ experience operating flow cytometers
Must have experience with prepping sample to run on flow cytometers
Must have experience writing protocols and reports
Minimum of 5 years' experience in flow cytometry in academic research, pharma industry, contract research organizations, or other relevant industry
Minimum of 3 years hands-on experience operating and troubleshooting flow cytometers
Experience with sample prep for multi-parameter flow cytometry applications
B.S. in Immunology, Cell Biology, or related discipline
Strong interpersonal skills with the ability to collaborate with others in a multi-disciplinary team
Should be self-directed with effective time management skills
Excellent listening, written, and oral communication skills

Job Responsibility

Develop protocols, conduct testing, write reports, and deliver reviews on new or existing products
Lead portions of the definition, design, and execution of validation activities under guidance of validation lead throughout product development
Be the voice of the customer by elevating user needs and identifying product quality issues
Exercise independent judgment and apply solution thinking, problem solving, and troubleshooting
Conduct representative sample prep and flow cytometry experiments to test products
Maintain up-to-date knowledge of customer workflows, scientific advancements in flow cytometry, and the competitive landscape
Interface between customers-facing groups and developers/testers by translating customer needs into product requirements and testing workflows
Escalate instrument problems using data-driven summaries

Fulltime

Systems Validation Scientist III

At Client Biosciences, our purpose is to help all people live healthy lives. We ...

Location

United States , San Jose

Salary:

40.00 - 50.00 USD / Hour

MillenniumSoft Inc

Expiration Date

Until further notice

Requirements

Minimum of a bachelor’s degree in Microbiology, Biology, Biochemistry, Immunology, or a related field
At least 2 years of experience working in a Biosafety Level 2 laboratory environment, performing cell culture with multiple different mammalian cell lines
Best practice experience doing antibody methods for antigen labeling (e.g., flow cytometry, western blots, ELISA, ELISPOT)
Experience working with primary cells derived from various mammalian species
Proficient with phase-contrast and brightfield microscopy
Excellent aseptic technique
Ability to troubleshoot common technical problems associated with cell sample preparation for flow cytometric studies
Ability to calculate basic laboratory calculations
Excellent attention to detail, can work quickly and accurately, organizing tasks and delivering quality with efficiency
Ability to read and understand Standard Operating Procedures

Job Responsibility

Maintaining the health, expansion, and inventory of cell lines
Performing cryopreservation and thawing of mammalian cells
Purification of leukocytes from mammalian-derived samples (i.e., venous blood) via different density-gradient centrifugation methods and RBC lysis protocols
Staining of cells in tubes and plates for intracellular and extracellular antigens
Fixation and permeabilization of cells, treatment of cells in culture with various agents, maintaining documents/lot numbers of antibodies and reagents
Counting cells via hemocytometer and/or proprietary cell counters
Preparing buffers, media, and other reagents
Maintaining inventory of critical laboratory supplies (consumables and reagents) in the lab
Attend meetings, as needed

Fulltime

Staff ML Validation Applied Scientist

As a Staff ML Validation Applied Scientist on the Software Validation team withi...

Location

United States , Sunnyvale

Salary:

218800.00 - 335300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

8+ years of experience and MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science, or a related field
Strong proficiency in Python and at least one systems language (e.g., C++), with experience building production systems over large datasets
Deep understanding of and experience evaluating modern ML for robotic systems
Hands-on experience using AI agents, LLM-based tools, or workflow orchestration to automate parts of the development, validation, or operations lifecycle
Demonstrated ability to design and implement behavioral and ML metrics and associated tooling for validation and regression detection of complex ML systems
Strong analytical skills and systems thinking
able to reason about complex AV behavior and ML model interactions and turn insights into code and tools
Effective communicator who can work across teams and provide technical leadership and mentorship to other engineers and researchers

Job Responsibility

Lead ML-centric validation strategy for deep learning components across perception, prediction, and planning in AV, defining evaluation methodologies with cross-functional partners
Build AI validation critics and agentic acceleration workflows using LLM- and model-based agents plus orchestration to automate scenario review, anomaly detection, and end-to-end validation flows
Prototype ML research into scalable tools by transforming ML research into performant tools integrated into CI/CD and large-scale pipelines, owning key behavior and ML validation services and data pipelines
Drive simulation-based ML evaluation at scale by evaluating deep learning modules in realistic sensor and traffic simulation and expanding behavioral and scenario coverage tightly linked to ML models
Provide cross-functional collaboration and leadership across Simulation, Safety, Systems Engineering, Autonomy, and tools teams through reviews, roadmapping, standards, and mentorship focused on high-quality, automation-first software

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Data Scientist – Applied AI & Agent Systems Specialist

✨ About This Role: Design, build, and deploy AI-powered agents and automation sy...

Location

Salary:

Not provided

HiRemoters

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Business Administration, Operations Management, Public Policy, International Development, or a related field
Strong proficiency in Python (production-level coding skills)
Minimum 5 years experience in applied AI, machine learning engineering, or AI-driven software development
Experience working with LLM APIs (OpenAI, Azure OpenAI, or equivalent)
Understanding of agentic architectures (tool use, memory, multi-step orchestration)
Experience with API integration and RESTful services
Familiarity with vector databases and embedding workflows
Knowledge of software version control (Git)
Experience with workflow automation/orchestration tools (n8n, LangChain, or equivalent frameworks)
Understanding of testing, logging, monitoring, and production deployment principles

Job Responsibility

Design, build, and deploy AI-powered agents and automation systems that enhance the operational intelligence, decision-making, and workflow efficiency
Act as the primary Applied AI Engineer within the Smart Systems & Operational Enablement department, translating business challenges into production-ready AI and agentic solutions
Develop software-driven AI capabilities that integrate securely and reliably into enterprise systems
Design and build AI agents using LLM APIs (e.g., Azure OpenAI, OpenAI or equivalent)
Develop multi-step orchestration workflows integrating AI models with internal systems and APIs
Implement agent memory systems (vector databases, embeddings, contextual retrieval)
Build and maintain AI-enabled automation using tools such as Python frameworks, n8n, or equivalent orchestration platforms
Develop evaluation frameworks to measure agent performance, accuracy, reliability, and drift
Deploy AI solutions in production environments following enterprise architecture standards
Collaborate with Systems Integration to embed agents within CRM/ERP and operational workflows

What we offer

Flexible and Remote Working
Career Growth
Performance Recognition
Health and Fitness Benefits
Extra Paid Annual Leave
Special Birthday Perk

Fulltime

Scientist I, Quality Control (2nd Shift)

Carex is partnering with a Pharmaceutical industry partner to identify a Scienti...

Location

United States , Madison

Salary:

Not provided

Carex Consulting Group

Expiration Date

Until further notice

Requirements

M.S. in Chemistry or a related scientific field with 7+ years of relevant laboratory experience
or B.S. in Chemistry or a related scientific field with 9+ years of relevant laboratory experience
Extensive knowledge of cGMP requirements, ICH guidelines, and pharmaceutical quality control laboratory operations
Demonstrated experience with analytical method validation, method transfers, and routine testing in a regulated environment
Strong proficiency with analytical instrumentation, data acquisition systems, and laboratory software platforms
Ability to independently execute complex analytical testing and make scientifically sound decisions
Experience reviewing technical data and supporting quality investigations and corrective actions
Strong troubleshooting skills related to instrumentation, analytical methods, and laboratory processes
Excellent written and verbal communication skills
Strong organizational skills and attention to detail

Job Responsibility

Perform analytical method validation, method transfer, and routine testing of pharmaceutical raw materials, in-process samples, finished products, and stability samples
Execute laboratory testing using established analytical methods, procedures, and instrumentation
Collaborate with Analytical Development and Manufacturing teams to support validation activities and project timelines
Operate, calibrate, maintain, and troubleshoot analytical instrumentation with minimal oversight
Demonstrate expertise with analytical technologies including HPLC, GC, LC-MS, Karl Fischer, FTIR, endotoxin plate readers, Raman spectroscopy, and related systems
Analyze and interpret data, including tracking and trending stability results and identifying degradation patterns
Utilize stability tracking software for data entry, review, approval, and record management
Lead technical discussions, scientific problem-solving sessions, and laboratory investigations
Identify, troubleshoot, and resolve analytical method, instrumentation, and sample-related issues
Review analytical data generated by other QC analysts to ensure accuracy and compliance

Fulltime

Data Engineer

We are looking for a Data Engineer to play a key role in shaping and scaling our...

Location

Salary:

Not provided

MDOTM Ltd

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, or a related field
Strong programming skills in Java or Python (or other JVM-based languages)
Strong understanding of data modeling, SQL, and NoSQL databases
Strong focus on data quality, validation, and monitoring practices
Experience working with large-scale and time-series datasets in financial contexts, with an understanding of their structure and common data quality challenges
Experience building and maintaining production data pipelines or data-intensive systems, with focus on reliability and performance
Ability to troubleshoot and optimize production data systems
Experience with workflow orchestration and data pipeline scheduling tools
Solid understanding of financial data structures and concepts, with the ability to model and validate financial data accurately
Strong problem-solving skills and attention to detail

Job Responsibility

Design, build, and maintain production-grade data pipelines and data-intensive systems
Configure, schedule, and monitor data pipeline execution to ensure reliability, maintainability, and timely delivery across all data processes
Deploy and manage data infrastructure on AWS or on-premises, ensuring scalability, security, and cost-efficiency
Monitor and optimize relational and NoSQL database performance (e.g., MySQL, PostgreSQL, MongoDB) to ensure efficient querying, indexing, and data access at scale
Ensure reliable ingestion, transformation, and availability of large-scale and time-series financial data, considering financial-specific data quality characteristics
Implement and maintain data quality, validation, and monitoring mechanisms across data workflows
Define and evolve data models and storage structures across relational and NoSQL systems
Collaborate with Data Scientists and Analysts to ensure accurate and efficient data access for analytics and modeling use cases
Optimize data processing workflows for performance, reliability, and operational stability
Troubleshoot complex data issues and drive root cause analysis

Fulltime

Software Engineer II

If you’re excited by the challenge of shaping the future of AI, the AI Platform ...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's / Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C#, Java, or Python OR equivalent experience
Experience with day-to-day AI agents and tool use
Experience writing production code in building internet scale services and distributed systems
Ability to debug, read code and work on a large and increasing codebase
Excellent communication and presentation skills
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check

Job Responsibility

Collaborate with data scientists and other developers to create necessary abstractions, infrastructure, interfaces and implement features to train, test, validate, scale and optimize for machine learning algorithms
Drive incorporation of customer-inspired innovations into software
Take holistic ownership of features
Independently use appropriate AI agents, skills, and practices across the software development lifecycle
Work with appropriate internal stakeholders to understand customer/user requirements for a set of features
Create a clear test strategy that ensures solution quality, executes test plans, and builds testable code
Create extensible and maintainable product feature code for minimal defects
Review product feature code to ensure it contains the correct test coverage and follows team standards
Implement debugging tools, tests, logs, and telemetry to verify assumptions
Strive for automation within production deployment aiming for zero-touch when possible

Fulltime

Sr. Data Scientist

Roku is looking for a Senior Data Scientist to join the Core Analytics team supp...

Location

United States , San Jose

Salary:

179900.00 - 190000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

5+ years of professional experience with a bachelor's or master's degree in a quantitative field such as Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering, or Computer Science
5+ years of experience in consumer products, digital media, entertainment, or related industries
Strong SQL skills and experience with analytical or programming languages such as Python, R, SAS, or similar tools
Hands-on experience with data visualization platforms such as Tableau or Looker
Hands-on experience with A/B testing, statistical modeling, or forecasting
Ability to approach problems proactively and work effectively in a fast-paced environment

Job Responsibility

Collaborate with stakeholders to align data science initiatives with organizational goals and product strategy
Design, execute, and interpret A/B tests to evaluate product changes and inform decision-making
Translate complex analyses into clear narratives, dashboards, and recommendations for leadership and partner teams
Develop and maintain dashboards, reports, and data visualizations to monitor key business, operational, and system health metrics
Analyze structured and unstructured data to uncover insights, identify trends, and support data-informed decisions
Develop data pipelines that power automation, validation, and reporting
Perform exploratory data analysis on emerging trends across the Roku platform
Collaborate with Program Management and Engineering partners to gather feedback and continuously improve solutions
Provide leadership with actionable insights on initiative performance and future opportunities

What we offer

Health insurance
Equity awards
Life insurance
Disability benefits
Parental leave
Wellness benefits
Paid time off
Mental health and financial wellness support and resources
Healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)

Fulltime

Select Country

Systems Validation Scientist

Job Description

Job Responsibility

Requirements

Looking for more opportunities?