Senior Applied Scientist, Model Customization, Generative AI Innovation Center, Model Customization
Scientist job in Arlington, VA
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
As an Applied Scientist, you will
• Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
• Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
• Provide customer and market feedback to product and engineering teams to help define product direction
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.
Analytical Method Development Scientist
Scientist job in Rock Hill, SC
Familiarity with laboratory instrumentation, including FTIR, HPLC, ICP, GC, UV-Vis, LC-MS, GC-MS, ICP-MS, and HPTLC.
Experience in analytical method validation and development
Are you looking to make a career change to a rapidly growing company? This exciting opportunity offers a competitive salary plus an excellent benefits package including medical insurance, dental insurance and paid PTO. Does this position match your future career goals? Then this opportunity could be the right fit for you
Compensation
Full benefits package
Competitive salary
Education and Experience Requirements:
Master's degree in Chemistry ,Biochemistry, Biotechnology or related field.
Must have prior experience working in the Pharmaceutical industry, using analytical techniques including HPLC and GC as well as experience with Method Development and Validation of these techniques.
Troubleshoots equipment
Expertise in developing analytical methods for chromatographic, spectroscopic, titrimetric, and wet chemistry analyses.
Strong understanding of routine laboratory operations.
Strong knowledge of analytical method development strategies and specification setting for raw materials and finished products.
Familiarity with laboratory instrumentation, including FTIR, HPLC, ICP, GC, UV-Vis, LC-MS, GC-MS, ICP-MS, and HPTLC.
Experience with Method development and Method validation
Coordinates equipment qualification and calibration.
Maintains a clean and safe working environment.
Must have knowledge of cGMPs, Quality Concepts, and Microsoft Office.
Excellent written and verbal communication skills.
Proficiency in MS Office.
Strong attention to detail.
Jasleen Kaur
*********************************
Ajulia Executive Search is a search firm specializing in Manufacturing, Finance, IT, Legal and Pharmaceutical positions. This is a confidential search for one of our preferred clients. It is a direct hire position that includes competitive compensation and full comprehensive benefit package.
#ZR
Data Scientist
Scientist job in McLean, VA
Kavaliro is seeking a Data Scientist to provide highly technical and in-depth data engineering support. The candidate MUST have experience designing and building data infrastructure, developing data pipelines, transforming and preparing data, ensuring data quality and security, and monitoring and optimizing systems. The candidate MUST have extensive experience with Python and AWS. Experience with SQL, multi-data source queries with database technologies (PostgreSQL, MySQL, RDS, etc.), NiFi, Git, Elasticsearch, Kibana, Jupyter Notebooks, NLP, AI, and any data visualization tools (Tableau, Kibana, Qlik, etc.) are desired.
Required Skills and Demonstrated Experience
Demonstrated experience with data engineering, to include designing and building data infrastructure, developing data pipelines, transforming/preparing data, ensuring data quality and security, and monitoring/optimizing systems.
Demonstrated experience with data management and integration, including designing and perating robust data layers for application development across local and cloud or web data sources.
Demonstrated work experience programming with Python
Demonstrated experience building scalable ETL and ELT workflows for reporting and analytics.
Demonstrated experience with general Linux computing and advanced bash scripting
Demonstrated experience with SQL.
Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS
Demonstrated experience processing data sources containing structured or unstructured data
Demonstrated experience developing data pipelines with NiFi to bring data into a central environment
Demonstrated experience delivering results to stakeholders through written documentation and oral briefings
Demonstrated experience using code repositories such as Git
Demonstrated experience using Elastic and Kibana
Demonstrated experience working with multiple stakeholders
Demonstrated experience documenting such artifacts as code, Python packages and methodologies
Demonstrated experience using Jupyter Notebooks
Demonstrated experience with machine learning techniques including natural language processing
Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats
Demonstrated experience developing tested, reusable and reproducible work
Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics
Desired Skills and Demonstrated Experience
Demonstrated experience with cloud services, such as AWS, as well as cloud data technologies and architecture.
Demonstrated experience using big data processing tools such as Apache Spark or Trino
Demonstrated experience with machine learning algorithms
Demonstrated experience with using container frameworks such as Docker or Kubernetes
Demonstrated experience with using data visualizations tools such as Tableau, Kibana or Apache Superset
Demonstrated experience creating learning objectives and creating teaching curriculum in technical or scientific fields
Location:
McLean, Virginia
This position is onsite and there is no remote availability.
Clearance:
TS/SCI with Full Scope Polygraph
Applicant MUST hold a permanent U.S. citizenship for this position in accordance with government contract requirements.
Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.
Data Science SME
Scientist job in Knoxville, TN
This person is responsible for extracting insights and building predictive models from data. Analyzes curated data, builds ML models, and validates them with experiments. The DS researches and defines business problems and translates them into analytical or ML tasks. Conducts exploratory data analysis to identify patterns, correlations, and anomalies. They will be in charge of designing, training, and evaluating statistical, ML, or AI models. Works with SMEs to determine use cases, model requirements, and alternative solutions. Defines requirements and specifications from which Data Specialists build data structures. Works closely with Data Engineers and customers to ensure correct implementation.
Required Experience:
Bachelor's in Mathematics, OR, Business, Economics, or related field preferred.
Minimum 7+ years designing and implementing mathematical and statistical models.
Strong experience with Python/R, PyTorch, Scikit-Learn, Jupyter, visualization, A/B testing.
SQL (Oracle, MySQL, or Hive).
Oracle DB and Hadoop experience preferred.
Ability to work independently and under deadlines.
Strong communication and problem-solving skills.
Clearance Requirement:
Must be a US Citizen with an active DoD Secret security clearance.
Data Scientist
Scientist job in Savannah, GA
We are looking for a Data Scientist with expertise in optimization and forecasting to help improve how we manage labor, staffing, and operational resources across our retail locations. This role is critical in building models and decision-support tools that ensure the right people, in the right place, at the right time - balancing customer service, efficiency, and cost. You will work closely with Operations, Finance, and Store Leadership teams to deliver practical solutions that improve labor planning, scheduling, and demand forecasting. The right candidate will be confident, resourceful, and excited to own both the technical and business-facing aspects of applying data science in a fast-paced retail environment.
Responsibilities
Build and maintain forecasting models (time-series, machine learning, and statistical) for sales and transactions.
Develop and deploy optimization models (linear/mixed-integer programming, heuristics, simulation) to improve workforce scheduling and labor allocation.
Partner with operations and finance to translate forecasts into actionable staffing and labor plans that reduce costs while maintaining service levels.
Build dashboards and automated tools to track forecast accuracy, labor KPIs, and staffing effectiveness.
Provide insights and “what-if” scenario modeling to support strategic workforce and budget planning.
Knowledge, Skills, And Abilities
Strong foundation in forecasting techniques (time-series models, regression, machine learning) and optimization methods (linear/mixed-integer programming, heuristics, simulation).
Proficiency in Python or R for modeling and analysis, along with strong SQL skills for working with large-scale datasets.
Knowledge of statistics, probability, and applied mathematics to support predictive and prescriptive modeling.
Experience building and deploying predictive models, optimization tools, and decision-support solutions that drive measurable business outcomes.
Strong data storytelling and visualization skills using tools such as Power BI, Tableau, or Looker.
Ability to translate analytical outputs into clear, actionable recommendations for non-technical stakeholders.
Strong collaboration skills with the ability to partner cross-functionally with Operations, Finance, and Store Leadership to drive adoption of data-driven approaches.
Ability to work independently and resourcefully, combining technical depth with practical problem-solving to deliver results in a fast-paced environment.
Education And Requirements
Required:
Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Industrial Engineering, Operations Research, or related field.
Minimum 2-3 years of professional experience in Data Science or a related area.
Strong skills in time-series forecasting (e.g., ARIMA, Prophet, ML-based approaches).
Proficiency in optimization techniques (linear programming, integer programming).
Strong Python or R programming skills.
SQL expertise for large, complex datasets.
Strong communication skills with the ability to partner with business stakeholders.
Preferred
Experience in Retail, Restaurant, and/or Convenience Stores a plus.
Experience with cloud platforms (Snowflake, AWS, GCP, Azure).
Knowledge of BI tools (Tableau, Power BI, Looker).
Physical Requirements
Prolonged periods sitting/standing at a desk and working on a computer
Must be able to lift up to 50 pounds
Parker's is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. Parker's does not discriminate on the basis of disability, veteran status or any other basis protected under federal, state, or local laws.
Data Scientist with GenAI and Python
Scientist job in Charlotte, NC
Dexian is seeking a Data Scientist with GenAI and Python for an opportunity with a client located in Charlotte, NC.
Responsibilities:
Design, develop, and deploy GenAI models, including LLMs, GANs, and transformers, for tasks such as content generation, data augmentation, and creative applications
Analyze complex data sets to identify patterns, extract meaningful features, and prepare data for model training, with a focus on data quality for GenAI
Develop and refine prompts for LLMs, and optimize GenAI models for performance, efficiency, and specific use cases
Deploy GenAI models into production environments, monitor their performance, and implement strategies for continuous improvement and model governance
Work closely with cross-functional teams (e.g., engineering, product) to understand business needs, translate them into GenAI solutions, and effectively communicate technical concepts to diverse stakeholders
Stay updated on the latest advancements in GenAI and data science, and explore new techniques and applications to drive innovation within the organization
Utilize Python and its extensive libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, LangChain) for data manipulation, model development, and solution implementation
Requirements:
Proven hands-on experience implementing Gen AI project using open source LLMs (Llama, GPT OSS, Gemma, Mistral) and proprietary API's (OpenAI, Anthropic)
Strong background in Retrieval Augmented Generation implementations
In depth understanding of embedding models and their applications
Hands on experience in Natural Language Processing (NLP) solutions on text data
Strong Python development skills. Should be comfortable with Pandas and NumPy for data analysis and feature engineering
Experience building and integrating APIs (REST, FastAPI, Flask) for serving models
Fine tuning and optimizing open source LLM/SLM is a big plus
Knowledge of Agentic AI frameworks and Orchestration
Experience in ML and Deep Learning is an advantage
Familiarity with cloud platforms (AWS/Azure/GCP)
Experience working with Agile Methodology
Strong problem solving, analytical and interpersonal skills
Ability to work effectively in a team environment
Strong written and oral communication skills
Should have the ability to clearly express ideas
Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.
Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit ******************* to learn more.
Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
Principal SAR Toolbox/SarPy Engineer/Scientist (TS/SCI) - NGA AI/ML
Scientist job in Alexandria, VA
LaunchCode is recruiting for a SME SAR/SARPY Engineer to work within a NGA at one of our partner companies!
Details:
Full-Time W2, Salary
Immediate opening
On Site - Alexandria, VA
Pay $200K to $225K (depending on experience)
Minimum Experience: 8 years
TS/SCI Required
Relocation Assistance
Disclaimer: Please note that we are unable to provide work authorization or sponsorship for this role, now or in the future. Candidates requiring current or future sponsorship will not be considered.
Job Details
The company is HIRING a SME SAR/SARPY Engineer (TS/SCI) for a large intelligence contract!
Join OUR TEAM! We WANT You!
Build with US - A World of Possibilities!
Be Part of our Mission!
Hiring ONE Heart at a Time - because YOU MATTER!
What you will be working on:
We have a large AI/ML project that is training new sensors, and we need a Sr. SARPY Engineer that has experience with the SAR Toolbox to support this effort for object identification (creating algo's, etc). If you like the idea of being on the forefront of new sensor technology, this is the project for you! Please note, this is not an analyst job where you press buttons to make software work - we need a coder, and a good one. All work is 100% onsite in Alexandria.
What you will bring to us (Must):
Bachelor's Degree and 8 years of experience
Active TS/SCI; able and willing to obtain a CI poly if you do not have one already
Significant SARPY experience and SAR Toolbox experience.
Good communicator that can work independently and in a team environment
Would be nice if you bring the following (Highly Desired):
Experience with imagery processing tools (python, MATLAB, google earth, etc)
Location: Worksite Locations (When onsite is required):
Alexandria, VA
What you will get:
Being a part of a team of experts and partners in the same mission.
Together we can accomplish the most challenging mission.
Join a Great Place To Work Certified!
We believe in you!
All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, citizenship or immigration status or any other protected classification, in accordance with applicable federal, state, and local laws. By completing this application, you are seeking to join a team of passionate professionals dedicated to consistently delivering outstanding service to our customers and contributing. Equal access to programs, services, and employment is available to all qualified persons. Those applicants requiring accommodation to complete the application and/or interview process should contact a company representative.
#SARPY #SARtoolbox #syntheticaperatureradar #nga #signal #sensors #alexandria #classfied #tssci #bae #nasa #defense #SICD
Data Scientist
Scientist job in Chattanooga, TN
BUILT TO CONNECT
At Astec, we believe in the power of connection and the importance of building long-lasting relationships with our employees, customers and the communities we call home. With a team more than 4,000 strong, our employees are our #1 advantage. We invest in skills training and provide opportunities for career development to help you grow along with the business. We offer programs that support physical safety, as well as benefits and resources to enhance total health and wellbeing, so you can be your best at work and at home.
Our equipment is used to build the roads and infrastructure that connects us to each other and to the goods and services we use. We are an industry leader known for delivering innovative solutions that create value for our customers. As our industry evolves, we are using new technology and data like never before.
We're looking for creative problem solvers to build the future with us. Connect with us today and build your career at Astec.
LOCATION: Chattanooga, TN On-site / Hybrid (Role must report on-site regularly)
ABOUT THE POSITION
The Data Scientist will play a key role in establishing the analytical foundation of Astec Smart Services. This individual will lead efforts to build pipelines from source to cloud, define data workflows, build predictive models, and help guide the team's approach to turning data into customer value. He or she will work closely within Smart Services and cross-functionally to ensure insights are actionable and impactful. The role blends Data architecture, data engineering, and data science to help build Smart Services analytical foundation. This person will be instrumental in helping to build Astec's digital transformation and aftermarket strategy.
Deliverables & Responsibilities
Data Engineering:
Build and maintain robust data pipelines for ingestion, transformation, and storage.
Optimize ETL processes for scalability and performance.
Data Architecture:
Design and implement data models that support analytics and operational needs.
Define standards for data governance, security, and integration.
Data Science:
Develop predictive models and advanced analytics to support business decisions.
Apply statistical and machine learning techniques to large datasets.
Strong business acumen to understand decision drivers with internal and external customers
Collaborate with individuals and departments across the company to ensure insights are aligned with customer needs and drive value.
To be successful in this role, your experience and competencies are:
Bachelor's degree in data science, engineering, or related field. (Adv. degrees a plus.)
5+ years of experience in data science, including at least 3 years in industrial or operational environments.
Strong communication and project management skills are critical.
Proficiency in data pipeline tools (e.g., Spark, Airflow) and cloud platforms (Azure, AWS, GCP).
Strong understanding of data modeling principles and database technologies (SQL/NoSQL).
Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis.
Ability to work across data architecture design and data science experimentation.
Programming: Python, SQL, and optionally Scala or Java.
Familiarity with distributed systems and big data technologies.
Strong communication skills for translating technical insights into business value.
Ability to work across technical, commercial, and customer-facing teams.
Supervisor and Leadership Expectations
This role will not have supervisory or managerial responsibilities.
This role will have program management responsibilities.
Our Culture and Values
Employees that become part of Astec embody the values below throughout their work.
Continuous devotion to meeting the needs of our customers
Honesty and integrity in all aspects of business
Respect for all individuals
Preserving entrepreneurial spirit and innovation
Safety, quality and productivity as means to ensure success
EQUAL OPPORTUNITY EMPLOYER
As an Equal Opportunity Employer, Astec does not discriminate on the basis of race, creed, color, religion, gender (sex), sexual orientation, gender identity, marital status, national origin, ancestry, age, disability, citizenship status, a person's veteran status or any other characteristic protected by law or executive order.
Data Scientist
Scientist job in Atlanta, GA
Role: Data Scientist
Mode Of Hire: Full Time
Key Responsibilities
• Data wrangling & feature engineering: Ingest, clean, and transform data from SQL, APIs, and data lakes (e.g., Snowflake, Databricks). Design robust pipelines that feed into analytics and ML workflows.
• Data understanding & exploration: Work closely with domain experts to deeply understand the meaning, context, quality, and limitations of available datasets. Translate business questions into data requirements and analytics plans.
• Machine learning development: Build, tune, and validate predictive models using scikit-learn, SparkML, XGBoost, or TensorFlow.
• Cross-functional partnership: Collaborate with marketing, sales, and product teams to scope business use cases, define success metrics, and integrate models into operational workflows.
• Model deployment & MLOps: Deploy and manage models using MLflow, docker and CI/CD pipelines. Implement versioning, testing, performance monitoring, and retraining strategies as part of a robust MLOps practice.
• Infrastructure support: Work with data engineering and DevOps teams to maintain and improve model training and deployment infrastructure, including compute resources, workflow orchestration and environment configuration.
• Insight delivery: Build clear, actionable reporting and visualizations using tools like Power BI or Tableau. Focus on impact, not just analysis.
Skills Required:
• Bachelor's degree in Data Science, Computer Science, Engineering, or a related quantitative field.
• 5+ years of experience in a data science, ML engineering, or analytics role.
• Strong SQL, Python and ML Techniques programming skills.
• Experience with Azure Cloud, Databricks, and/or Snowflake.
• Experience building and deploying machine learning models in production environments. Hands-on experience with Databricks, including SparkML, and MLflow integration.
• Familiarity with MLOps best practices, including version control, model monitoring, and automated testing.
• Experience with tools such as Git, MLflow, Docker and workflow schedulers.
• Ability to communicate complex technical work to non-technical stakeholders.
• Experience with scalable model training environments and distributed computing.
Preferred Qualifications
• Master's degree in a quantitative or technical discipline.
• Experience in financial services, fintech, or enterprise B2B analytics.
• Knowledge of A/B testing, causal inference, and statistical experimentation.
• Familiarity with GenAI, LLM pipelines, and vector-based retrieval is a plus and platform like Snowflake Cortex.
Clinical Lab Scientist - Urgent Care PRN
Scientist job in Chesapeake, VA
Works with Manager, Supervisor or Lead Clinical Lab Scientist on a variety of laboratory projects and participates in PI, QA, and QC to ensure all regulatory requirements maintain an 'in compliance' status. Functions in a charge or lead role as assigned for the days operations to ensure safe quality and efficient workflow, practices, staffing and operations.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Performs, assists and accountable for various clinical laboratory test procedures and ensures proper maintenance and operation of instrumentation.
Exercises professional judgment in the performance of laboratory procedures.
Provides patient care essential to laboratory procedures.
Recognizes patient conditions requiring immediate action and reports to provider.
Performs other duties as assigned.
LICENSES AND/OR CERTIFICATIONS
Certification as a Clinical Laboratory Scientist/Medical Technologist in all disciplines by the Board of Registry of the American Society of Clinical Pathologist (ASCP).
CPR Training required and/or must be obtained within 45 days of hire for identified job roles.
MINIMUM EDUCATION AND EXPERIENCE REQUIREMENTS
Bachelor's Degree in Clinical Laboratory Science or equivalent.
Six to twelve months of laboratory training/job experience necessary in order to become familiar with a variety of laboratory testing procedures.
Knowledge and experience preforming phlebotomy required.
Interpersonal skills necessary in order to communicate effectively with physicians, nursing personnel and other clinicians relative to patient testing and information gathering.
Ability to resolve technical problems using standard guides and procedures.
Analytical skills necessary in order to perform and interpret routine tests and recognize abnormal/critical test results.
Must be able to determine the appropriate course of action for abnormal, atypical or critical test results.
Basic knowledge of Microsoft Office and other Laboratory Information Systems (LIS) software preferred.
Ability to travel.
WORKING CONDITIONS
Laboratory service areas have work environments with frequent exposure to physical discomforts due to unpleasant odors from specimens and chemicals. Frequent exposure to infectious agents when handling hazardous material, but potential for personal harm or injury is reduced when proper safety and health precautions are followed.
PHYSICAL REQUIREMENTS
Click here to view physical requirements.
#CHKDHP
Additional Information
CHKDHSis an Equal Opportunity Employer.
Equal Employment Opportunity is the Law - click here for more information
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, gender identity, national origin, sexual orientation, veteran status, or any other status protected by federal, state, or local law. If assistance is needed, please reach out to us at *******************
Senior Data Scientist
Scientist job in McLean, VA
Locals to Only# In- Person Interview
Job Title: Data Scientist Specialist
We are seeking a highly experienced Principal Gen AI Scientist with a strong focus on Generative AI (GenAI) to lead the design and development of cutting-edge AI Agents, Agentic Workflows and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Prompt Engineering, Large Language Models (LLMs), RAG, Graph RAG, MCP, A2A, multi-modal AI, Gen AI Patterns, Evaluation Frameworks, Guardrails, data curation, and AWS cloud deployments. You will serve as a hands-on Gen AI (data) scientist and critical thought leader, working alongside full stack developers, UX designers, product managers and data engineers to shape and implement enterprise-grade Gen AI solutions.
Responsibilities:
Architect and implement scalable AI Agents, Agentic Workflows and GenAI applications to address diverse and complex business use cases.
Develop, fine-tune, and optimize lightweight LLMs; lead the evaluation and adaptation of models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives.
Design and deploy Retrieval-Augmented Generation (RAG) and Graph RAG systems using vector databases and knowledge bases.
Curate enterprise data using connectors integrated with AWS Bedrock's Knowledge Base/Elastic.
Implement solutions leveraging MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication.
Build and maintain Jupyter-based notebooks using platforms like AWS SageMaker and MLFlow/Kubeflow on Kubernetes (EKS).
Collaborate with cross-functional teams of UI and microservice engineers, designers, and data engineers to build full-stack Gen AI experiences.
Integrate GenAI solutions with enterprise platforms via API-based methods and GenAI standardized patterns.
Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment.
Design & build robust ingestion pipelines that extract, chunk, enrich, and anonymize data from PDFs, video, and audio sources for use in LLM-powered workflows-leveraging best practices like semantic chunking and privacy controls.
Orchestrate multimodal pipelines** using scalable frameworks (e.g., Apache Spark, PySpark) for automated ETL/ELT workflows appropriate for unstructured media.
Implement embeddings drives-map media content to vector representations using embedding models, and integrate with vector stores (AWS Knowledge Base/Elastic/Mongo Atlas) to support RAG architectures.
Qualifications:
experience in AI/ML, with applied GenAI or LLM-based solutions.
Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases (e.g., AWS Knowledge Base / Elastic), and multi-modal models.
Proven experience with cloud-native AI development (AWS SageMaker, Amazon Bedrock, MLFlow on EKS).
Strong programming skills in Python and ML libraries (Transformers, LangChain, etc.).
Deep understanding of Gen AI system patterns and architectural best practices, Evaluation Frameworks.
Demonstrated ability to work in cross-functional agile teams.
Senior Data Scientist
Scientist job in Charlotte, NC
About Us:
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ********************
Role: Senior Data Scientist - Generative AI & Solution Architecture
Location: Charlotte, NC
Work Mode - Hybrid (2-3 days from client office)
Experience: 10+ Years
Job Description
We are looking for a Senior Data Scientist to lead the design and implementation of a Generative AI-driven Contract Risk Reporting System. This role involves building advanced RAG pipelines, a reporting engine, and an interactive chatbot. The ideal candidate combines deep technical expertise, AI/ML fundamentals, and the ability to interpret legal contract language into actionable solution requirements, while engaging directly with clients.
Key Responsibilities:
Architect and deliver AI solutions for contract risk analysis and reporting.
Design and implement LLM-based RAG systems, reporting dashboards, and conversational interfaces.
Translate legal domain requirements into technical specifications.
Collaborate with clients for requirement gathering, solution validation, and presentations.
Ensure MLOps best practices, model monitoring, and Model Risk Management (MRM) compliance.
Required Skills:
Expertise in Generative AI, LLMs, RAG architectures, and NLP techniques.
Strong foundation in machine learning algorithms, model evaluation, and feature engineering.
Hands-on experience with MLOps pipelines, model governance, and risk controls.
Proficiency in Python, LangChain, Vector Databases, and Cloud platforms (AWS/Azure/GCP).
Ability to interpret legal contract language and map it to technical solutions.
Excellent communication, client engagement, and solution design skills.
Preferred:
Experience in legal tech, contract analytics, or risk management solutions.
Familiarity with prompt engineering, domain-specific fine-tuning, and LLM optimization.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Machine Learning Scientist/Sr Scientist - Antibody Property Prediction & Generative Design
Scientist job in Ruth, NC
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.
Purpose
Lilly TuneLab is an AI-powered drug discovery platform that provides biotech companies with access to machine learning models trained on Lilly's extensive proprietary pharmaceutical research data. Through federated learning, the platform enables Lilly to build models on broad, diverse datasets from across the biotech ecosystem while preserving partner data privacy and competitive advantages. This collaborative approach accelerates drug discovery by creating continuously improving AI models that benefit both Lilly and our biotech partners.
The Machine Learning Scientist/Sr Scientist, Antibody Property Prediction & Generative Design plays an essential role within the TuneLab platform, specializing in antibody and biologic drug development. This position requires deep expertise in antibody engineering, protein design, and immunology, combined with advanced machine learning capabilities in sequence modeling and structure prediction. The role will drive the development of AI models that accelerate antibody discovery, optimization, and developability assessment across the federated network.
Key Responsibilities
* Antibody Property Prediction: Build multi-task learning frameworks specifically for antibody properties including binding affinity, specificity, stability (thermal, pH, aggregation), immunogenicity, and developability metrics from sequence and structural features.
* Antibody Sequence Generation: Develop and implement generative models (transformers, diffusion models, evolutionary models) for antibody design, including CDR optimization, humanization, and affinity maturation while maintaining structural integrity.
* Structure-Aware Design: Integrate structural modeling and prediction (AlphaFold, ESMFold) with generative approaches to ensure generated antibodies maintain proper folding, CDR loop conformations, and epitope recognition.
* Developability Optimization: Create models that simultaneously optimize for multiple developability criteria including expression yield, solubility, viscosity, and post-translational modifications, crucial for manufacturing and formulation.
* Species Cross-Reactivity: Develop approaches to design antibodies with desired species cross-reactivity profiles for preclinical development, learning from cross-species binding data.
* Antibody-Antigen Modeling: Create models for predicting antibody-antigen interactions, epitope mapping, and paratope design, incorporating both sequence and structural information.
Basic Qualifications
* PhD in Computational Biology, Protein Engineering, Immunology, Biochemistry, or related field from an accredited college or university
* Minimum of 2 years of experience in antibody or protein therapeutic development within the biopharmaceutical industry
* Strong experience with protein sequence analysis and structural biology
* Proven track record in machine learning applications to biological sequences
* Deep understanding of antibody structure-function relationships and immunology
Additional Preferences
* Experience with immune repertoire sequencing and analysis
* Publications on antibody design, protein engineering, or therapeutic development
* Expertise in protein language models and transformer architectures
* Knowledge of antibody manufacturing and CMC considerations
* Experience with display technologies (phage, yeast, mammalian)
* Understanding of clinical immunogenicity and prediction methods
* Proficiency in protein modeling tools (Rosetta, MOE, Schrodinger BioLuminate)
* Familiarity with antibody-drug conjugates and bispecific platforms
* Experience with federated learning in biological applications
* Portfolio mindset balancing innovation with practical developability
This role is based at a Lilly site in Indianapolis, South San Francisco, or Boston with up to 10% travel (attendance expected at key industry conferences). Relocation is provided.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$151,500 - $244,200
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly
Auto-ApplyData Scientist / Manager
Scientist job in Asheville, NC
Are you looking for a Challenge? Looking for an innovative organization and the opportunity to learn and grow professionally? We can help! We are seeking a Data Scientist / Manager to support the United States Department of Agriculture (USDA) Forest Service in North Carolina.
I've never heard of Terrestris. What do you do?
At Terrestris, we leverage technology to create better mission outcomes through better human performance. We form strong client and team relationships through transparency and strive to create an environment where our team can let their excellence shine through. By finding, developing, and incorporating new ideas, we provide memorable services. Rooted in the USMC values of honor, courage, and commitment, Terrestris seeks to deliver extraordinary value to the American people by helping the Government become more efficient and effective.
So, what will the Data Scientist / Manager at
Terrestris do?
As the Data Scientist / Manager you will be responsible for a wide range of duties including analytics; data input, retrieval and presentation, information gathering and documentation, and implementation of prescribed processes in support of organizational missions. You will further be responsible for performing analytical and evaluative work involving mathematics, statistics, and business knowledge to address workforce or mission issues and generate data-driven solutions in the analysis of FS program operations and decision alternatives. Finally, you will develop models for evaluation and assess data validity and reliability to aid stakeholders in understanding and utilizing analytical reports.
What does a typical day look like for the Data
Scientist / Manager?
You will:
Consult with cross-functional teams on the design and conduct of projects or studies to evaluate and resolve complex problems.
Advise on the potential of data to provide new insights into the agency's mission.
Identify, collect, cleanse, and analyze structured and unstructured data used to support assigned projects or program(s).
Explore patterns, correlations, and causations from various systems and datasets to provide a synopsis of emerging trends, challenges, and recommendations for change.
Apply data visualization techniques, such as dashboards, scorecards, and graphs, to create solutions that enable enhanced agency performance and decision making.
Participate in the preparation and presentation of project briefings to communicate results and recommendations for operational improvements.
Manage, input, extract and interpret data using Forest Service asset management software.
Perform various routine administrative tasks and interface with multiple resource groups to maintain complete and accurate databases of asset portfolios in accordance with USDA directives.
What qualifications do you look for?
You might be the professional we're looking for if you have:
Authorization to work in the U.S. permanently without sponsorship.
A Bachelor's Degree with (2) years of relevant experience OR a Master's degree and (1) year of relevant experience OR (10) years of relevant experience, in lieu of an education credential (Relevant Experience is defined as work involving data analytics; data input, retrieval and visualization; programming and automation using Python, R, or similar; and/or applying statistical techniques and machine learning.).
We are extra impressed by folks with:
Familiarity with USDA Forest Service missions, data systems, and land management policies.
Knowledge of federal data governance standards (e.g., FAIR data principles, OMB policies).
What kind of benefits does Terrestris Offer?
We offer outstanding benefits including health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category.
Terrestris is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status. Applicants must be authorized to work in the U.S.
DILBERT © 2018 Scott Adams. Used By permission of ANDREWS MCMEEL SYNDICATION. All rights reserved.
Laboratory Technologist, Senior
Scientist job in Rutherfordton, NC
Assists in the day to day operations of the clinical laboratory services. Collects specimens and performs laboratory testing in all areas of the clinical laboratory to aid providers in the diagnosis and/or monitoring of various disease states. Reports to: Director of Laboratory Services
FLSA: Non-Exempt
Education: Associate's degree in Medical Laboratory Science or Medical Technology
Licenses: MLT Certified through ASCP or AMT
Certifications: None Listed
Minimum Work Experience
Three to five years of laboratory experience in high complexity testing within the specialties or subspecialties of microbiology, chemistry, hematology, serology, coagulation, urinalysis, and blood banking with proven technical and leadership skills
Required Skills
Requires critical thinking skills, decisive judgment and the ability to work with minimal supervision. Must be able to work in a stressful environment and take appropriate action. Ability to communicate with a wide range of individuals in a constructive and professional manner.
Essential Functions
Oversees and reviews the performance of quality control and assists staff with taking necessary corrective action when controls are outside acceptable limits
Reviews instrument and equipment maintenance logs monthly and assists staff with daily instrument maintenance and troubleshooting.
Instructs and trains new employees and coordinates competency assessment performance.
Coordinates and oversees the performance of quarterly and annual laboratory equipment checks per established laboratory policy.
Utilizes critical thinking skills to assist laboratory director with technical and logistical issue including arranging staffing coverage for unexpected absences to meet productivity and patient care needs
Troubleshoots, resolves, and/or reports equipment malfunctions as necessary.
Participates in hospital wide and departmental performance improvement activities.
Non-Essential Functions
Laboratory Technologist, Senior
Scientist job in Rutherfordton, NC
Assists in the day to day operations of the clinical laboratory services. Collects specimens and performs laboratory testing in all areas of the clinical laboratory to aid providers in the diagnosis and/or monitoring of various disease states. Reports to: Director of Laboratory Services
FLSA: Non-Exempt
Education: Associate's degree in Medical Laboratory Science or Medical Technology
Licenses: MLT Certified through ASCP or AMT
Certifications: None Listed
Minimum Work Experience
Three to five years of laboratory experience in high complexity testing within the specialties or subspecialties of microbiology, chemistry, hematology, serology, coagulation, urinalysis, and blood banking with proven technical and leadership skills
Required Skills
Requires critical thinking skills, decisive judgment and the ability to work with minimal supervision. Must be able to work in a stressful environment and take appropriate action. Ability to communicate with a wide range of individuals in a constructive and professional manner.
Essential Functions
Oversees and reviews the performance of quality control and assists staff with taking necessary corrective action when controls are outside acceptable limits
Reviews instrument and equipment maintenance logs monthly and assists staff with daily instrument maintenance and troubleshooting.
Instructs and trains new employees and coordinates competency assessment performance.
Coordinates and oversees the performance of quarterly and annual laboratory equipment checks per established laboratory policy.
Utilizes critical thinking skills to assist laboratory director with technical and logistical issue including arranging staffing coverage for unexpected absences to meet productivity and patient care needs
Troubleshoots, resolves, and/or reports equipment malfunctions as necessary.
Participates in hospital wide and departmental performance improvement activities.
Non-Essential Functions
Auto-ApplyEnvironmental Scientist I
Scientist job in Asheville, NC
At Three Notch Group, we are a leading civil engineering firm with over 75 years of experience, dedicated to delivering a wide range of services, including Field and Lab Services, UST, Environmental, Utility, Transportation, Geotechnical & Construction Engineering, and Civil/Site Development. We foster a collaborative environment where driven team members can build lasting friendships, support one another, and guide our clients in shaping their futures. With offices across the Southeast, including six in Alabama, two in North Carolina, and one in Tennessee, we offer an exceptional opportunity for personal and professional growth. If you're ready to make a difference and advance your career, join us at Three Notch Group and be part of a team that truly values your contributions!Summary
The Environmental Scientist will conduct various environmental services, including tank closure, well installation, and groundwater monitoring for environmental and underground storage tank projects. Key responsibilities include maintaining client relationships, performing field work, supporting internal processes, contributing to financial objectives, and participating in ongoing learning and growth.
Duties and Preferred Skills
This person will oversee all field activities associated with a contract in the North Carolina area.
Activities include tank closure, well installation, groundwater monitoring and emergency response oversite.
This will be a combination of field and office work. Field work is expected at least 75% of the time.
Qualifications
B.S. in biology, chemistry, geology, or earth sciences
0-2 years of experience in environmental science/ related fields
Preferred: 3 months of relevant internship, work, or research experience.
Valid driver's license.
Strong communication, organizational, and interpersonal skills.
Knowledge of environmental regulations.
Proficiency in Microsoft Office Suite or related software.
Requirements
Physical ability to perform field work and lift 25 lbs.
Willingness to travel 3 times a week and must be willing to be on call for our emergency response hotline at least 1-2 weeks per month
Prolonged periods sitting, working on a computer, and performing physical activities like standing and bending.
Able to work in office and outdoor environments with varying noise levels, including moderate office noise and loud construction sites.
Three Notch Group. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by applicable law.
Auto-ApplyChemist
Scientist job in Waynesville, NC
Job Details Waynesville, NC DayChemist
The primary responsibility of this position is to provide laboratory and technical support for multiple business units. The incumbent will perform laboratory functions such as analytical testing, technical assistance, research and development and product development. Will be responsible for data analysis, writing reports, maintaining equipment and supplies. This position is expected to function as a team member with the ability to perform all tests conducted in the QA laboratory. Will comply with Good Manufacturing Practices and Good Laboratory Practices, follow Good Documentation Practices, and abide by Safety & Housekeeping Policies.
Qualifications
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Provide routine analytical services using ICP, wet chemistry techniques and other typical analytical techniques used for raw materials, in-process and finish product assays
Support Research and Development projects
Interpret results of analyses to provide information to production, sales and customers
Document test results in Notebooks, Controlled Documents and Forms; maintain accurate and complete quality records
Assist with Product Development requests.
Schedule/perform laboratory equipment calibration (daily and third-party annual)
Maintain all laboratory equipment and supplies to prevent testing delays
Conduct OOS investigations, as needed.
Maintain Chemical Inventory and Master Chemical lists
Maintain Chemical CoA binders
Will provide validation and qualification support for instrumentation, methods, including, writing and reviewing protocols while maintaining a laboratory notebook
Maintain a clean, safe and organized lab area and potentially assume responsibility to ensure that others maintain their lab areas
Follow, understand and comply with Giles/Premier SOP's and policies on cGMPs and Safety
Support improvement projects and drive efficiency through utilization of LEAN management principles
Perform other Laboratory, Quality and/or Safety support functions as assigned.
KNOWLEDGE , SKILLS AND TRAINING:
Fundamental understanding of cGMP and Safety regulations.
Experience in an analytical laboratory setting.
Ability to develop and implement test methods.
Experience in a supervisory role a plus.
Possess oral and written communication skills, strong interpersonal skills, strong organizational abilities, and able to work in a team environment.
Must have strong personal time management skills with the ability to meet deadlines and to work with minimal supervision.
Intermediate computer skills (Microsoft Word and Excel).
Customer oriented mindset.
Background in medical, food, or pharmaceutical manufacturing a plus
EDUCATION/EXPERIENCE:
Minimum BS/BA Degree in Chemistry or allied fields
Two years' work experience in Quality Laboratory and/or manufacturing with a demonstrated track-record of accomplishments.
WORK ENVIRONMENT / CONDITIONS / PHYSICAL DEMANDS:
These are considered essential duties and are illustrative of those job tasks, which are fundamental. Work will take place in a warehouse environment. Employees may be required to perform additional related duties as may be assigned by management. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work will take place in various types of manufacturing environments as well as in outdoor settings. Prolonged standing, climbing, pulling and lifting of heavy objects may be included in the job tasks.
Data Scientist with ML
Scientist job in Reston, VA
Kavaliro is seeking a Data Scientist to provide highly technical and in-depth data engineering support.
MUST have experience with Python, PyTorch, Flask (knowledge at minimum with ability to quickly pickup), Familiarity with REST APIs (at minimum), Statistics background/experience, Basic understanding of NLP.
Desired skills for a candidate include experience performance R&D with natural language processing, deploying CNN and LLMs or foundational models, deploying ML models on multimedia data, experience with Linux System Administration (or bash), experience with Android Configuration, experience in embedded systems (Raspberry Pi).
Required Skills and Demonstrated Experience
Demonstrated experience in Python, Javascript, and R.
Demonstrated experience employing machine learning and deep learning modules such as Pandas, Scikit, Tensorflow, Pytorch.
Demonstrated experience with statistical inference, as well as building and understanding predictive models, using machine learning methods.
Demonstrated experience with large-scale text analytics.
Desired Skills
Demonstrated hands-on experience performing research or development with natural language processing and working with, deploying, and testing Convolutional Neural Networks (CNN), large-language models (LLMs) or foundational models.
Demonstrated experience developing and deploying testing and verification methodologies to evaluate algorithm performance and identify strategies for improvement or optimization.
Demonstrated experience deploying machine learning models on multimedia data, to include joint text, audio, video, hardware, and peripherals.
Demonstrated experience with Linux System Administration and associated scripting languages (Bash)
Demonstrated experience with Android configuration, software development, and interfacing.
Demonstrated experience in embedded systems (Raspberry Pi)
Develops and conducts independent testing and evaluation methods on research-grade algorithms in applicable fields.
Reports results and provide documentation and guidance on working with the research-grade algorithms.
Evaluates, Integrates and leverage internally-hosted data science tools.
Customize research grade algorithms to be optimized for memory and computational efficiency through quantizing, trimming layers, or through custom methods
Location:
Reston, Virginia
This position is onsite and there is no remote availability.
Clearance:
Active TS/SCI with Full Scope Polygraph
Applicant MUST hold a permanent U.S. citizenship for this position in accordance with government contract requirements.
Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.
Clinical Lab Scientist - Urgent Care
Scientist job in Richmond, VA
Works with Manager, Supervisor or Lead Clinical Lab Scientist on a variety of laboratory projects and participates in PI, QA, and QC to ensure all regulatory requirements maintain an 'in compliance' status. Functions in a charge or lead role as assigned for the days operations to ensure safe quality and efficient workflow, practices, staffing and operations.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Performs, assists and accountable for various clinical laboratory test procedures and ensures proper maintenance and operation of instrumentation.
Exercises professional judgment in the performance of laboratory procedures.
Provides patient care essential to laboratory procedures.
Recognizes patient conditions requiring immediate action and reports to provider.
Performs other duties as assigned.
LICENSES AND/OR CERTIFICATIONS
Certification as a Clinical Laboratory Scientist/Medical Technologist in all disciplines by the Board of Registry of the American Society of Clinical Pathologist (ASCP).
CPR Training required and/or must be obtained within 45 days of hire for identified job roles.
MINIMUM EDUCATION AND EXPERIENCE REQUIREMENTS
Bachelor's Degree in Clinical Laboratory Science or equivalent.
Six to twelve months of laboratory training/job experience necessary in order to become familiar with a variety of laboratory testing procedures.
Knowledge and experience preforming phlebotomy required.
Interpersonal skills necessary in order to communicate effectively with physicians, nursing personnel and other clinicians relative to patient testing and information gathering.
Ability to resolve technical problems using standard guides and procedures.
Analytical skills necessary in order to perform and interpret routine tests and recognize abnormal/critical test results.
Must be able to determine the appropriate course of action for abnormal, atypical or critical test results.
Basic knowledge of Microsoft Office and other Laboratory Information Systems (LIS) software preferred.
Ability to travel.
WORKING CONDITIONS
Laboratory service areas have work environments with frequent exposure to physical discomforts due to unpleasant odors from specimens and chemicals. Frequent exposure to infectious agents when handling hazardous material, but potential for personal harm or injury is reduced when proper safety and health precautions are followed.
PHYSICAL REQUIREMENTS
Click here to view physical requirements.
#CKDHP
Additional Information
CHKDHSis an Equal Opportunity Employer.
Equal Employment Opportunity is the Law - click here for more information
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, gender identity, national origin, sexual orientation, veteran status, or any other status protected by federal, state, or local law. If assistance is needed, please reach out to us at *******************