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Manager Implementation Science Jobs in Alexandria, KY

Senior Data Scientist

Woodlawn, KY ยท On-site

$130 - $170/hr

Design, implement, and maintain advanced data processing and entity resolution pipelines using ... Data Hygiene & Management: Clean, transform, and manage large-scale datasets from diverse, complex ...

Senior Program Manager

Cincinnati, OH ยท On-site

$111K - $111K/yr

Bachelor of Science in Engineering or Life Science * Minimum 8 years of experience in a regulated ... Identify and implement best practices on programs; ensure consistency and thoroughness of ...

Senior Program Manager

Cincinnati, OH ยท On-site

$111K - $111K/yr

Bachelor of Science in Engineering or Life Science * Minimum 8 years of experience in a regulated ... Identify and implement best practices on programs; ensure consistency and thoroughness of ...

We modernize supply chains by implementing artificial intelligence, machine learning, and connected ... It also requires exposure to data science, and associated software and programming technologies.

... implementing application programming interface (API) management solutions * 2+ years of experience administering Oracle databases * Advanced degree in computer science, information technology ...

... management problems in aviation involving complex trade-offs under uncertainty. You will ... Lead complex data science projects from conception to implementation, working with various ...

Showing results 41-60

Manager Implementation Science information

See Alexandria, KY salary details

$37K

$98.2K

$159.3K

How much do manager implementation science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for manager implementation science in Alexandria, KY is $98,186.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,600.00 and $114,800.00 per year, depending on experience, location, and employer.

What is a Manager Implementation Science?

A Manager Implementation Science is a professional who leads and coordinates projects that translate scientific research into practical applications, particularly in healthcare, public health, or organizational settings. Their role involves overseeing teams, designing strategies to implement evidence-based practices, evaluating outcomes, and ensuring interventions are effectively integrated into real-world environments. They often bridge the gap between research and practice by collaborating with stakeholders, analyzing data, and promoting continuous improvement. This position requires strong leadership skills, expertise in implementation science methodologies, and experience in project management.

What are the key skills and qualifications needed to thrive as a Manager Implementation Science?

To thrive as a Manager Implementation Science, you need advanced knowledge in implementation science methodologies, research design, and project management, typically supported by a master's or doctoral degree in public health, healthcare, or a related field. Familiarity with data analysis software (e.g., SPSS, R), evidence-based practice frameworks, and experience with grant writing or regulatory requirements is often required. Strong leadership, communication, and stakeholder engagement skills help drive adoption of research findings across interdisciplinary teams. These skills ensure effective translation of evidence into practice, improving organizational outcomes and advancing public health initiatives.

What are some common challenges faced by a Manager Implementation Science when leading cross-functional teams?

As a Manager Implementation Science, you may encounter challenges such as aligning diverse stakeholders with varying priorities, translating complex research findings into actionable strategies, and ensuring consistent communication across departments. Successfully navigating these challenges often requires strong project management skills, the ability to foster collaboration, and a talent for bridging the gap between research and practice. Building trust and clarity among team members is key to effective implementation and achieving organizational goals.

What is the difference between Manager Implementation Science vs Implementation Specialist?

AspectManager Implementation ScienceImplementation Specialist
Required CredentialsBachelor's or Master's in Public Health, Healthcare, or related field; experience in implementation scienceBachelor's degree; experience in healthcare or program implementation
Work EnvironmentOversees teams, develops strategies, manages projects in healthcare or research settingsSupports implementation activities, conducts training, assists in project execution
Employer & Industry UsageHealthcare organizations, research institutions, public health agenciesHealthcare providers, public health programs, community organizations

The Manager Implementation Science typically has a broader leadership role, overseeing implementation projects and teams, while the Implementation Specialist focuses on supporting and executing specific implementation activities. Both roles require relevant experience, but the manager often has more strategic responsibilities and higher qualifications.

What job categories do people searching Manager Implementation Science jobs in Alexandria, KY look for?

The top searched job categories for Manager Implementation Science jobs in Alexandria, KY are:

Senior Data Scientist

Omm IT Solutions

Woodlawn, KY โ€ข On-site

$130 - $170/hr

Other

Re-posted 23 days ago


Job description

Permanent W-2 Employee / Corp2Corp Contractor | Omm IT Solutions | United States

Posted On 08/14/2026

Job Information

Start Date 08/16/2026 12:00 AM

Compensation Negotiable

IT Services

Work Authorization Authorized to work in USA

Background Check/Public Trust Clearance US Public Trust Clearance

Job Opening ID Omm2996J

State/Province Maryland

City Woodlawn

21041

Job Description

PLEASE NOTE:

  • IT IS 100 % On Site position in Woodlawn
  • Selected candidate must be able to obtain and maintain a public trust clearance
  • Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week

KEY REQUIRED SKILLS:

  • Strong practical experience with Natural Language Processing (NLP), Text Processing, and Information Extraction concepts including Named Entity Recognition, Blocking and Indexing, String Distance Metrics, TF-IDF/Cosine Similarity, Phonetics Encoding, Address Standardization
  • Solid Python, Regex, and SQL experience

POSITION DESCRIPTION:

  • Develop Analytics Solutions: Design, implement, and maintain advanced data processing and entity resolution pipelines using Python and SQL on enterprise data platforms.
  • Data Hygiene & Management: Clean, transform, and manage large-scale datasets from diverse, complex sources, ensuring absolute data integrity, reliability, and security.
  • Performance Optimization: Optimize complex SQL queries and database operations to ensure efficient data access, processing, and scalability.
  • Engineering Standards: Actively participate in code reviews, enforce version control, and uphold best practices for code quality, reproducibility, and data privacy.
  • End-to-End Delivery: Support data validation, testing, deployment, and post-implementation monitoring in a fast-paced environment.
Requirements

BASIC QUALIFICATIONS:

  • Master's and 10+ years of experience, Bachelor's and 12+ years of experience or 18+ years in lieu of a degree
  • Bachelorโ€™s degree in Statistics, Applied Mathematics, Computer Science, or Information Science with experience in NLP, Text Processing, Information Extraction, Python, SQL, Regex and specialized libraries/frameworks.
  • Overall 10+ yearsโ€™ experience in IT industry

REQUIRED SKILLS:

  • Strong practical experience with Natural Language Processing (NLP), Text Processing, and Information Extraction including:
  • Practical knowledge of Named Entity Recognition and Address Standardization to extract and clean unstructured text data.
  • Deep understanding of data matching strategies, including Blocking and Indexing, String Distance Metrics, and Phonetic Encoding.
  • Experience applying TD-IDF and Cosine Similarity for text comparisons and information retrieval.
  • Strong Python development skills for building analytics solutions and manipulating data.
  • Advanced SQL proficiency for complex data querying, optimization, and database operations.
  • Practical experience using Regex for advanced text processing, data cleansing, and pattern matching.
  • Familiarity with specialized libraries and frameworks including:
  • Linkage libraries such as Splink / FastLink, Dedupe, or recordlinkage
  • Core Python data science libraries, specifically spaCy for NLP tasks and Scikit-Learn for general machine learning and clustering
  • Familiarity with code reviews, version control, and maintaining data security and reproducibility standards.

DESIRED SKILLS:

  • Prior experience delivering IT or data initiatives within federal, state, or local government environments
  • Proven ability to operate independently, take ownership of data pipeline architectures, and drive projects from data discovery through to post-implementation.
  • Experience retrieving, migrating, and manipulating data from legacy and distributed systems, including PostgreSQL, DB2, Oracle, SQL Server, and Hadoop, as well as unstructured flat files.
  • Experience utilizing Jenkins to automate continuous integration, testing, and deployment (CI/CD) for data validation pipelines.
  • Experience with pipeline automation tools to schedule and monitor complex data cleansing jobs.
  • Strong ability to translate complex algorithmic decisions (such as probabilistic match thresholds) into clear business logic for executive leadership and non-technical stakeholders.
  • Excellent problem-solving skills and proven verbal/written communication skills when collaborating across cross-functional teams.
Education/Work Experience

Master's and 10+ years of experience, Bachelor's and 12+ years of experience or 18+ years in lieu of a degree

Bachelorโ€™s degree in Statistics, Applied Mathematics, Computer Science, or Information Science with experience in NLP, Text Processing, Information Extraction, Python, SQL, Regex and specialized libraries/frameworks.

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