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Research Federated Learning Jobs in Ohio (NOW HIRING)

Ohio University

Software Engineer III

Athens, OH · On-site

$80K - $138K/yr

... learning, research, and operations. We work in a product-oriented model, aligning roadmaps and ... Preferred Qualifications • Experience delivering results in a large or federated environment ...

Ohio University

Application Systems Analyst III

Athens, OH · On-site

$68K - $117K/yr

... learning, research, and operations. We work in a product-oriented model, aligning roadmaps and ... Preferred Qualifications • Experience delivering results in a large or federated environment ...

All JobsResearch Federated Learning JobsResearch Federated Learning Jobs in Ohio

Research Federated Learning information

What is a researcher in federated learning?

A Researcher in Federated Learning is a professional who studies, develops, and improves federated learning algorithms and systems. Federated learning is a machine learning approach where data remains decentralized, allowing multiple devices or organizations to collaboratively train models without sharing raw data. These researchers focus on advancing privacy, efficiency, and performance in distributed AI systems. Their work often involves experimenting with new methods, publishing findings, and contributing to the growing field of privacy-preserving machine learning.

What are the key skills and qualifications needed to thrive as a researcher in federated learning?

To thrive as a Researcher in Federated Learning, you need a strong background in machine learning, distributed systems, and statistics, typically supported by an advanced degree in computer science or a related field. Familiarity with programming languages like Python, frameworks such as TensorFlow Federated, and experience with privacy-preserving algorithms are essential. Critical thinking, collaboration, and effective communication are key soft skills for designing experiments and sharing findings with peers. These competencies are vital for advancing privacy-aware AI solutions and producing impactful research in this rapidly evolving domain.

What are some common challenges faced by professionals working in research federated learning, and how can they be addressed?

Professionals in Research Federated Learning often encounter challenges such as ensuring data privacy across distributed devices, managing non-iid (non-independent and identically distributed) data, and optimizing communication efficiency between clients and servers. Addressing these issues requires strong collaboration with cross-functional teams, including data engineers, security experts, and software developers, to develop robust protocols and algorithms. Staying updated with the latest research and participating in open-source collaborations can also help overcome technical hurdles and drive innovation in this rapidly evolving field.

What is the difference between Research Federated Learning vs Data Scientist?

AspectResearch Federated LearningData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, tech companies, academia; focus on algorithm developmentBusiness environments, analytics teams; focus on data analysis and insights
Industry UsageAI research, privacy-preserving ML, distributed systemsBusiness intelligence, marketing, finance, healthcare

Research Federated Learning involves developing privacy-focused, distributed machine learning algorithms, often in research or specialized tech settings. Data Scientists analyze data to generate insights and support decision-making in various industries. While both roles require strong analytical skills, Research Federated Learning emphasizes algorithm development and privacy, whereas Data Scientists focus on data analysis and reporting.

What are popular job titles related to Research Federated Learning jobs in Ohio?

For Research Federated Learning jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Research Federated Learning jobs in Ohio look for?

The top searched job categories for Research Federated Learning jobs in Ohio are:

What cities in Ohio are hiring for Research Federated Learning jobs?

Cities in Ohio with the most Research Federated Learning job openings:

Research Federated Learning jobs near you

EPIDEMIOLOGIST - Wright Patterson Air Force Base (27323)

LTSi

Dayton, OH • On-site

$92 - $110/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

Job description

Job Details

Job Title: Epidemiologist

Job Location: Wright Patterson AFB, OH - Dayton, OH 45433

Position Type: Full Time

Education Level: Graduate Degree

Salary: $92,000.00 - $110,000.00 per year

Job Shift: Day

Job Category: Health Care/Medical

Responsibilities
  • Integrate and harmonize PH data from disparate surveillance and clinical systems to enable multi-domain command and control (MDC2) capabilities.
  • Provide technical support, quality control, and administrative maintenance for the integration of data from ASIMS, DOEHRS (all modules), CarePoint, GENESIS, AFDRSi, ESSENCE, AFSAS, DHASAS, and HPWS.
  • Establish the relationship of available data across these systems to existing data sets, map data elements, and create a comprehensive PH Knowledge Management data dictionary.
  • Develop and maintain Decision Support Systems (DSS) to drive Courses of Action (COAs) and evidence-based public health decisions.
  • Design and implement interactive Dashboards and Heads-Up Displays (HUDs) that translate complex PH data into actionable intelligence for Commanders and Public Health teams at all echelons.
  • Document computer code and macros used for DSS products to ensure government personnel can access, review, and reproduce reports in accordance with USAFSAM programming standards.
  • Align KM CoE outcomes with operational mission requirements and "So What?" metrics.
  • Develop analytical models that correlate public health data directly to the ability of the unit to generate or sustain sorties, space launches, or training pipelines, and reduce operational risk.
  • Assist in identifying and prioritizing PH research and surveillance areas that impact Air Force Medical Command (AFMEDCOM) and Defense Health Agency (DHA) mission priorities.
  • Support the PH, Occupational Epidemiology (OE), and Federated Epidemiology (FE) C3 Team in providing real-time consultation and biosurveillance enhancement.
  • Assist and advise military team leaders on using KM tools for outbreak investigations and the rapid identification of public health trends or threats.
  • Assist in creating and maintaining professional relationships with data creators and Information Technology (IT) staff to ensure the integrity and timeliness of information necessary for integrated air, space, and cyberspace operations.
  • Develop and deliver KM-specific training and curriculum for the Public Health career field.
  • Assist in designing written communication and professional reports for internal and external stakeholders.
  • Provide assistance to data users in producing routine and ad hoc reports, special study methods, and surveillance protocols to enhance organizational performance.
  • Provide conference support by assisting in the preparation of posters, presentations, and manuscripts to brief KM CoE findings at professional forums and military meetings.
  • Assist in granting and managing access to authorized users for the integrated surveillance applications and ensure that all maintained data is current, accurate, and accessible for planning purposes.
Education and Requirements
  • Must be a US Citizen.
  • Possess a Master’s Degree or higher in Public Health, Epidemiology, Biostatistics or other similar master’s level degree as approved by USAFSAM/PHR and strong knowledge of epidemiology, biostatistics, and public health.
  • Shall be current in Health Information Portability and Accountability Act (HIPAA) training or be able to complete HIPAA training within one month of employment to be able to access and process identified medical data.
Qualifications
  • Possess expertise in utilizing surveillance systems and be capable of learning and utilizing the following health surveillance systems: AFDRSi, ESSENCE, Air Force Mortality Registry, Defense Occupational and Environmental Health Readiness System - Hearing Conservation (DOEHRS‑HC), the Executive Information Decision and Support Data Mart (EIDS M2), Standard Ambulatory Disease Registry (SADR), Standard Inpatient Disease Registry (SIDR), and Aeromedical Services Information Management System (ASIMS).
  • Possess the expertise of utilizing (electronic) medical record and laboratory data systems in order to utilize the Armed Forces Health Longitudinal Technology Application (AHLTA), Military Health Systems Genesis (MHS Genesis) and Health Level 7 (HL7).
  • Possess the expertise and capability to utilize Microsoft Office, SAS, SAS Enterprise Guide and at least knowledgeable with using R and/or STATA.
  • Possess the expertise and capability to utilize USAFSAM/PHR data repositories.
  • Possess advanced analytical skills in public health/epidemiology and epidemiological study design and execution. Shall have experience and knowledge of descriptive statistics, measures of association, determining statistical significance, and modeling of data.
  • Possess the expertise and capability to create research protocols for prioritized research areas and submit these protocols to the appropriate institutional review board (IRB).
  • Possess expertise in using descriptive statistics, MS Office, and Adobe Acrobat.
  • Be current in Scientific and Technical Information (STINFO) training and Collaborative Institutional Training Initiative (CITI) or be able to complete training within one month of employment.
  • Epidemiologist shall possess a Non-Disclosure Agreement in place with their company, and the company must provide a copy to the Program Manager of this effort. This is necessary in order to mitigate transfer of any confidential, proprietary and/or sensitive information while in this position. The Epidemiologist shall have a signed NDA in place based on the potential access to confidential, proprietary, and/or sensitive information. The NDA shall be provided to the Government Program Manager by start of performance.
  • Experience within a health analytics related field and working with DAF related data is desired.
Position Timing

Immediate hire upon contract award and completion of all background and security investigations.

Benefits
  • Health, Dental, and Vision, 401(k), PTO, and 11 Paid Federal Holidays
  • New Year’s Day
  • Martin Luther King, Jr. Day
  • Presidents Birthday
  • Memorial Day
  • Juneteenth
  • Independence Day
  • Labor Day
  • Columbus Day
  • Veterans Day
  • Thanksgiving Day
  • Christmas Day
Equal Opportunity Statement

Laredo Technical Services, Inc. (LTSi) is an Equal Opportunity/Affirmative Action Employer. We make employment decisions based on merit and qualifications, ensuring equal opportunity for all applicants and employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, Veteran Status or any other characteristic protected by applicable law.

LTSi is committed to ensuring an accessible online application process for all individuals, including those with disabilities. We offer alternative application methods for candidates who are unable to complete the online application due to a disability or other need for accommodation. LTSi complies with the Americans with Disabilities Act (ADA), Section 503 of the Rehabilitation Act of 1973, the Vietnam-Era Veterans’ Readjustment Assistance Act of 1974, and other relevant state and local laws. If you need assistance with an application due to a disability, please contact hr@laredotechnical.com.

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