4580 Bioanalytical Project Manager jobs in Ashburn,VA

Taco Bell - Shift Manager - Front Royal - Urgently Hiring

Taco Bell

Front Royal, VA 22630

One Medical

Washington, DC 20006

At least 6 months of relevant experience as a Medical Assistant or Phlebotomist outside of a training/externship environment OR successful completion of an Amazon Career Choice training program
Strong customer service skills, including ability to establish and maintain effective customer relationships and deliver customer-centric solutions
Strong written and verbal communication skills
A High School Diploma or equivalent
Proficiency in computer technology such as typing, navigating the internet and using multiple software systems simultaneously
Experience working on collaborative, diverse, multi-disciplinary teams (additional experience with remote teams a plus)
A proven ability to display confidence and instill trust during the collection process while delivering individualized, human-centered, customer-focused care
A proven track record of persisting through change, consistently stepping up to take action on challenges, and learning quickly and effectively when faced with new situations or tasks

GXO Logistics

Leesburg, VA 20175

Dollar Tree

Ashburn, VA 20147

Milestone Technologies

Ashburn, VA 20147

The Home Depot

Ashburn, VA 20147

U Haul

Leesburg, VA 20178

Leidos

Great Falls, VA 22066

An active TS/SCI clearance with willingness to obtain a Polygraph is required to be considered.
Bachelor's degree and 12+ years of relevant experience, or Master's degree and 10+ years of relevant experience in Data Science, Computer Science, Analytics, or related field. Additional experience may be considered in lieu of degree.
Demonstrated senior-level experience designing, training, and deploying machine learning models.
Strong coding skills in Python (or similar), with experience building scalable and maintainable solutions.
Demonstrated experience applying data science methodologies (machine learning, statistical analysis, data engineering) to real-world problems.
Experience structuring and processing large, complex, and unstructured datasets.
Experience processing unstructured data and documents (e.g., text, reports, open-source content).
Experience developing or supporting NLP capabilities, including querying across aggregated data sources.
Strong understanding of data pipelines, feature engineering, and model evaluation techniques.
Experience working with geospatial data and integrating spatial context into analytic workflows.
Strong research, critical thinking, and analytic writing skills.
Familiarity with working in high-side (classified) environments.
Experience operating effectively in fast-paced, mission-driven environments both independently and as part of a team.