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Manager Remote Statistical Programmer Jobs in Ohio

CareSource

Sr. Manager AI and Data Science

Dayton, OH · On-site +1

The Senior Manager, AI and Data Science provides leadership for a multidisciplinary data science ... Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or other ...

Safelite Group

Field Optimization Analyst

Columbus, OH · Remote

... statistical/programming tools (Python, R) is a plus. * Understanding of field capacity management ... (Remote) : It is expected that you will primarily perform work remotely. You may be asked to travel ...

Howmet

Global Supplier Quality Manager

Cleveland, OH · On-site +1

Partially Remote * Export-Controlled Data No , Responsibilities Job Summary: * Lead and manage the ... Collaborate cross-functionally with global procurement, engineering, and manufacturing teams to ...

CareSource

Applied AI Scientist III

Dayton, OH · On-site +1

Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or other ... Understanding of model risk management, AI governance, and responsible AI * Strong expertise in ...

GAI Consultants

Bridge Engineer Practice Lead

Columbus, OH · On-site +1

$98.30K - $129.50K/yr

In addition to providing management and technical leadership to our Ohio bridge projects, this ... Remote and/or hybrid work (home or office) schedules are viable options, and the successful ...

GAI Consultants

Bridge Engineer Practice Lead

Columbus, OH · On-site +1

$98.30K - $129.50K/yr

In addition to providing management and technical leadership to our Ohio bridge projects, this ... Remote and/or hybrid work (home or office) schedules are viable options, and the successful ...

GAI Consultants

Bridge Engineer Practice Lead

Canton, OH · On-site +1

$95.80K - $126.10K/yr

In addition to providing management and technical leadership to our Ohio bridge projects, this ... Remote and/or hybrid work (home or office) schedules are viable options, and the successful ...

NTT DATA Americas, Inc

We are currently seeking a Magento Support Engineer (remote) to join our team in Toronto, Ontario ... Incident management, bug resolution, performance tuning, environment monitoring, and support for ...

TechSite

Senior Electrical Engineer

Plain City, OH · On-site +1

$100K - $150K/yr

Flexible schedule with team-managed remote work schedules. * Comprehensive Benefits : Medical ... Engineer who shares our vision. If this sounds like the right opportunity for you, we'd love to ...

CSAA

Commercial Insurance Analyst - Remote

Delaware, OH · Remote

... management, and risk outcomes. You will be responsible for performing complex analyses to inform ... Superior research, statistical, analytical, data processing and mathematical skills with ability to ...

New

FirstEnergy

Supervisor Data Engineering

Akron, OH · Remote

Position is currently remote but may work at or visit a facility based on business need. This ... Participating in vendor management processes including resolving support issues, product road ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data ...

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Manager Remote Statistical Programmer information

What are the key skills and qualifications needed to thrive as a Manager Remote Statistical Programmer, and why are they important?

To thrive as a Manager Remote Statistical Programmer, you need expertise in statistical programming (typically SAS or R), clinical trial data analysis, and a degree in statistics, mathematics, or a related field. Familiarity with CDISC standards, regulatory submission requirements, and experience using clinical data management systems are essential, along with relevant certifications like SAS Certified Advanced Programmer. Strong leadership, effective communication, and problem-solving skills are crucial for managing remote teams and collaborating across departments. These skills ensure robust data analysis, regulatory compliance, and efficient project delivery in a remote and highly regulated environment.

What are common challenges faced by a Manager Remote Statistical Programmer, and how can they be addressed?

A Manager Remote Statistical Programmer often encounters challenges such as coordinating geographically dispersed teams, ensuring data security, and maintaining effective communication. Addressing these requires leveraging robust project management tools, implementing clear protocols for data handling, and fostering regular virtual team meetings to discuss progress and resolve issues. Building a strong remote culture and providing ongoing training also help in keeping the team engaged and aligned with project goals.

What is a Manager Remote Statistical Programmer?

A Manager Remote Statistical Programmer is a professional who oversees a team of statistical programmers, often within the pharmaceutical, biotechnology, or clinical research industries, while working remotely. Their responsibilities include managing programming projects, ensuring data analysis and reporting adhere to regulatory standards, and supporting the development of statistical analysis plans. They also mentor team members, coordinate timelines, and communicate with cross-functional teams to ensure successful project delivery. Remote managers use technology to collaborate effectively with their teams and clients from different locations.

What is the difference between Manager Remote Statistical Programmer vs Senior Statistical Programmer?

AspectManager Remote Statistical ProgrammerSenior Statistical Programmer
ResponsibilitiesOversees project teams, manages timelines, and ensures regulatory compliancePerforms complex statistical programming tasks, mentors junior staff
Required SkillsLeadership, project management, advanced programmingAdvanced programming, statistical analysis, problem-solving
Work EnvironmentTeam management, client interaction, cross-functional collaborationIndividual contributor, project-focused
CertificationsLikely to have SAS or CDISC certifications, leadership trainingSAS certifications, statistical programming expertise

The main difference is that the Manager Remote Statistical Programmer focuses on team leadership and project oversight, while the Senior Statistical Programmer primarily handles complex programming tasks and technical expertise. Both roles require strong SAS skills and industry experience, but the managerial position involves additional responsibilities in team management and strategic planning.

What are the most commonly searched types of Remote Statistical Programmer jobs in Ohio? The most popular types of Remote Statistical Programmer jobs in Ohio are:
What are popular job titles related to Manager Remote Statistical Programmer jobs in Ohio? For Manager Remote Statistical Programmer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Manager Remote Statistical Programmer jobs in Ohio look for? The top searched job categories for Manager Remote Statistical Programmer jobs in Ohio are:
What cities in Ohio are hiring for Manager Remote Statistical Programmer jobs? Cities in Ohio with the most Manager Remote Statistical Programmer job openings:
Manager Remote Statistical Programmer jobs near you
Sr. Manager AI and Data Science

Sr. Manager AI and Data Science

CareSource

Dayton, OH • On-site, Remote

Full-time

Posted 3 days ago

CareSource rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

174th of 259 rated insurance

Job description

Job Summary:
The Senior Manager, AI and Data Science provides leadership for a multidisciplinary data science team that builds advanced analytics solutions using emerging Artificial Intelligence (AI) and Machine Learning (ML) technologies to enhance healthcare operations, patient care, and overall health plan performance and efficiency. This role provides strategic direction, technical oversight, and people leadership for multiple workstreams ranging from traditional predictive modeling to Agentic AI, Large Language Models (LLMs), and Natural Language Processing (NLP) solutions. The leader will also be a key driver of enterprise AI adoption by enabling the team to use Agentic AI frameworks to automate and accelerate day-to-day analytical and engineering tasks while ensuring appropriate governance, privacy, and responsible AI practices.
Essential Functions:
  • Lead, coach, and develop a data science and AI team, including hiring, goal setting, performance development, and fostering a culture of quality, learning, and responsible innovation.
  • Stay current on the latest trends in LLMs, NLP, generative AI, and healthcare informatics, integrating relevant advancements into projects to drive continuous innovation.
  • Develop and implement predictive models, ML algorithms, and statistical techniques identify patterns, trends, and opportunities for improving operational efficiency, cost containment, and patient care from large and complex healthcare datasets.
  • Oversee development of predictive models using claims, EHR/EMR, lab, utilization management, and other data sources; ensure appropriate evaluation, calibration, drift monitoring, and clinical interpretability.
  • Conduct rigorous data analysis, including data cleansing, feature engineering, and exploratory data analysis, to derive meaningful insights and actionable recommendations.
  • Develop, test, and deploy generative AI solutions (including prompt engineering and RAG) with appropriate documentation, monitoring, and safeguards.
  • Drive team adoption of Agentic AI frameworks to accelerate day-to-day work (e.g., requirements drafting, code generation, test creation, data quality checks, documentation, and analysis automation), while setting standards for safe tool use and human-in-the-loop review.
  • Manage a technical sub-team focused on NLP and deep learning techniques that process and analyze unstructured healthcare data (e.g., clinical notes, patient feedback, and medical literature) to extract meaningful insights.
  • Partner with architecture and data solutions teams to move solutions from prototype to production; co-own operational readiness including documentation, observability, incident response, and post-release tuning for both ML and GenAI systems.
  • Implement LLMOps/MLOps practices: reproducible pipelines, experiment tracking, model and prompt versioning, automated evaluation, and monitoring/alerting aligned with business and clinical risk.
  • Ensure compliance with HIPAA/PHI handling and internal governance standards; collaborate with privacy, security, and compliance partners to mitigate risks such as data leakage, prompt injection, and unsafe outputs.
  • Collaborate with cross-functional stakeholders (clinical leadership, risk adjustment, care management, operations, IT, and analytics partners) to prioritize work, define KPIs, and communicate results, tradeoffs, and roadmap progress.
  • Represent the department in forums that require clinical AI and generative AI expertise; communicate complex concepts clearly to technical and non-technical audiences.
  • Perform any other job related duties as requested.

Education and Experience:
  • Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or other related field required
  • Master's degree or PhD preferred
  • Equivalent years of relevant work experience may be accepted in lieu of required education
  • Six (6) years of experience in predictive analytics, data science, or a related field, preferably within the healthcare industry or managed care organizations required
  • Three (3) years of leadership experience required
  • One (1) year of experience with cloud services (such as Azure, AWS or GCP) and modern data stack (such as Databricks or Snowflakes) required
  • One (1) year of experience delivering LLM and/or generative AI solutions (e.g., prompt engineering, fine-tuning approaches, and/or RAG) from prototype through production required
Competencies, Knowledge and Skills:
  • People leadership and organizational skills, including the ability to hire, coach, and retain high-performing technical talent; set clear priorities; and build an inclusive, collaborative team culture
  • Strong expertise in statistical modeling, machine learning, and predictive analytics using Python and/or R
  • Familiarity with agentic AI, LLM architectures, prompt engineering, RAG, and evaluation metrics
  • Familiarity with transformer architectures and modern deep learning frameworks; familiarity with generative modeling concepts and tradeoffs (quality, latency, and cost)
  • Knowledge of RAG design patterns, including document processing, chunking strategies, embeddings, retrieval (keyword/semantic/hybrid), reranking, and context management
  • Knowledge of evaluation methods for LLM/RAG systems (retrieval metrics, groundedness/faithfulness, answer quality, and bias/safety checks) and the ability to operationalize automated evaluation and regression testing
  • Familiarity with MLOps/LLMOps practices, including CI/CD, experiment tracking, model and prompt versioning, automated testing/evaluations, monitoring/observability, and reproducible pipelines
  • Expertise in Optical Character Recognition (OCR) technologies, including data extraction from scanned documents, forms, and invoices, and proficiency in OCR tools and libraries
  • Understanding of AI governance and responsible AI, including privacy-by-design, HIPAA/PHI handling, model risk management, and safeguards against prompt injection and data leakage
  • Proficiency in SQL and working knowledge of data modeling, data quality, and feature engineering for large healthcare datasets
  • Knowledge of healthcare operations, payer and provider models, and industry trends
  • Proficient in feature engineering techniques and exploratory data analysis
  • Excellent analytical, problem-solving, and critical-thinking skills, including the ability to translate complex data into actionable insights
  • Strong project/program leadership skills, including the ability to lead multiple initiatives simultaneously, manage dependencies, and deliver measurable outcomes
  • Excellent written and verbal communication and presentation skills, including the ability to convey technical concepts to non-technical stakeholders
  • Knowledge of health care coding including CPT-4, HCPCS, ICD-9/10, DRG and Revenue Codes required
  • Knowledge of managed care required
  • Comfortable reading academic research papers and applying them in the models
Licensure and Certification:
  • None
Working Conditions:
  • General office environment; may be required to sit or stand for extended periods of time
  • Ability to travel as required by the needs of the business.

Compensation Range:
$113,000.00 - $197,700.00
CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.
Compensation Type (hourly/salary):
Salary
Organization Level Competencies
  • Fostering a Collaborative Workplace Culture
  • Cultivate Partnerships
  • Develop Self and Others
  • Drive Execution
  • Influence Others
  • Pursue Personal Excellence
  • Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
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