work flow and reproducibility) Modeling, Inference, and Prediction: (Data modeling and backssment, domain-specific considerations). Responsibilities may include: Devise strategies for extracting meaning and value from large datasets Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and applications Analytic modeling, statistical analysis and programming Develop and implement qualitative and quantitative methods for characterizing, exploring, and backssing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings.
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practical mission needs and analytic questions related to large datasets into technical requirements and assist with drawing conclusions from data analysis Communicate complex technical information to non-technical audiences Recommend technical solutions by maintaining awareness of the constantly-shifting customer collection, processing, storage and analytic capabilities and limitations Qualifications Basic Qualifications: An Associate's degree with 17 years of relevant experience OR a Bachelor's Degree with 15 years of relevant experience Degree in Math, Applied Math, Statistics, Applied Statistics, Machine Language, Data Science, Operations Research, or Computer Science.
A degree in
a related field (e. g. Computer Info Sys, Engineering, in the physical/hard sciences, or other science disciplines with a substantial computational component (typically 5 or more courses in advanced mathematics and/or CS (e.
g. algorithms, programming, data structures, data mining, AI). Other degrees may be considered if accompanied by a Certificate in Data Scientist. Relevant experience is considered: Designing/implementing Machine Language (ML) Data Science (DS) advanced analytical algorithms data mining, advanced statistical analysis (e. g. statistical foundations of ML, statistical approaches to missing data, time series), advanced mathematical foundations ( e.
g. numerical methods, graph theory) AI, workflow and reproducibility, data management and curation, data modeling and backssment (e. g. model selection, evaluation, and sensitivity analysis) Experience with programming languages (such as Python or C) Experience as a Data Scientist (DS) or Software Engineer (SWE) Active TS SCI security clearance with a current polygraph is required Peraton offers enhanced benefits to employees working on this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap and participation in an attractive bonus plan.
#MPOJobs #AJCM Peraton Overview Peraton drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted and highly differentiated national security solutions and technologies that keep people safe and secure. Peraton serves as a valued partner to essential government agencies across the intelligence, space, cyber, defense, civilian, health, and state and local markets.
Every day, our employees do the can't be done, solving the most daunting challenges facing our customers. Target Salary Range $146,000 - $234,000. This represents the typical salary range for this position based on experience and other factors. EEO An Equal Opportunity Employer including Disability/Veteran. All For more details: jobs-search. org/technology_fort-meade-c433937/data-scientist-sme-security-clearance-required-fort-meade_i1971898189
Signal School courses. Develop data science, zero-trust cybersecurity methodologies, and development-related training support packages through lesson plans, presentations, and practical exercises to support courses, IAW ADDIE process (TP ). Write lesson plans for training support material.
Produce associated media (e. g. presentations, videos, and other training support material) Assist with training support material validation and associated test/evaluations. Provide Instructor notes/preparation. (e. g. Instructor notes for training support material) Align training material with course design and learning outcomes as specified in Program of Instruction (POI), course map, and associated
Terminal Learning Objectives (TLO) for each course. Participate in validating learning products and material to help Training Developers determine if products meet intended learning outcome efficiently and effectively.
Conduct up to three iterations of individual or group validation trials, depending on nature of learning product. Identify learning product deficiencies. Make recommendations and adjustments to enhance quality and relevancy of learning products and material. Develop backssments (labs, quizzes, and tests) to evaluate student’s ability to understand training material and perform associated tasks IAW intended learning outcome. Maintain and update data science, zero-trust cybersecurity
methodologies, and development-related training support packages in form of lesson plans, presentations, and practical exercises to support courses as required by industry developments and updates in best business practices.
Provide feedback in development and creation of training materials and lessons required to teach approved tasks, conditions, and standards for Military Occupational Specialties. Use training material from academic agreements with Cisco, Microsoft, and AWS when applicable, permissible, and specified in course design outline. Implement classroom instruction IAW ADDIE process outlined in TP. Instruct/execute training IAW projected training schedule.
Distribute training material and record results via designated Learning Management System (LMS) [e. g. Blackboard, MS Teams]. Train and educate students IAW lesson plan’s specified TLOs and intended learning outcomes. Administer tests and student backssments. Instruct various field-related courses and evaluate student performances using TRADOC-approved Instructional methodology. Provide educational materials to include syllabi, homework, labs, quizzes, and exams to support classroom instruction. Project and schedule training modules with course managers a minimum of 90 days before class begins training IAW course’s designated course map.
Coordinate for use of any non-standard Government-owned equipment or anything not provided in standard classroom needed to complete students’ exercises or labs NLT 7 working days prior to start date of training. Regularly check with Course Manager(s) and scheduler to de-conflict weekly training schedule for classroom/lab utilization. Actively participate in Quality Assurance backssments as applicable; deliver training IAW prescribed POI, lesson plans, course map, and associated TLOs for course being backssed. Present lesson plans IAW approved POI for each course supported.
Maintain classroom equipment, training resources, and classroom security requirements and procedures as prescribed in TRADOC, Installation, and/or local policies and procedures; report all equipment issues as soon as identified. Conduct exams, administer/enforce test control procedures, and enforce discipline, safety, and physical security measures; actively participate in student AARs. Record all tests, backssments, and student evaluations in associated LMS; report academic concerns to Course Manager, SGL, ACE, and/or Chain of Command as warranted, maintaining good order and discipline in training environment.
Primary responsibility for Data Operations 255A Warrant Officer Courses (WOBC/WOIC/WOAC) and two functional courses. Qualifications: Must possess at minimum a Master’s in Science (M. S. ) Degree from a Science, Technology, Engineering, and Mathematics (STEM) program accredited by the Accreditation Board for Engineering and Technology (ABET). Must possess a Common Faculty Developer-Instructor Course (CFD-IC) certification that is less than 5 years old or be able to obtain within 90 days of hire. Must possess at least 1 of the following certifications: Big Data Science Certified Professional (BDSCP) from Arcitura, AWS Certified Machine Learning-Specialty, MS Azure Data Scientist Associate, or Comp TIA Data+.
Must possess 5+ years’ operational experience conducting data analysis. Must sign a non-disclosure agreement (NDA) before having access to work-related materials. Must comply with non-disclosure requirements in FAR section 3.104-5(b) (or DFAR equivalent). Must complete annual Do D Cyber Awareness Challenge Training and all required Information Assurance (IA) training specified in AR 25-2 and directed by Government.
Must complete annual Security Refresher Training, Antiterrorism Level I Training, i WATCH training, Level I Operations Security (OPSEC) training, and Threat Awareness and Reporting Program (TARP) training. Must be capable of obtaining and retaining a Common Access Card (CAC). Years of Experience : 5+ years operational experience conducting data analysis Education/Certifications : M. S. Degree from an ABET-accredited STEM program; CFD-IC Certification (within 90 days of hire); BDSCP from Arcitura, AWS Certified Machine Learning-Specialty, MS Azure Data Scientist Associate, and/or Comp TIA Data+ COMPANY INFORMATION: Bravura is a rapidly growing Woman Owned Small Business (WOSB) that provides professional and engineering services, technology solutions and product offerings to Do D, Federal Civilian agencies.
Bravura is an Equal Opportunity Employer. Bravura does not discriminate against employees or applicants for employment on any legally recognized basis (protected class) including, but not limited to: veteran status, uniform service member status, race, color, religion, interaction, national origin, age, physical or mental disability, genetic information or any other protected class under federal, state, or local law.
These are positions that require a U. S. Citizenship. For more details: jobs-search. org/instructor-writer_georgia-r782052/instructor-writer-data-scientist-security-clearance-required-united-states_i1971806421
data on supercomputing resources. We are hiring for the following locations: Huntsville, AL Princeton, NJ Washington, DC Region In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
You will leverage scientific techniques to transform petabyte-scale data into insightful data products to enable data-driven decisions. You will partner with Data Engineers to refactor manual workflows to produce highly automated MLOPs based workloads. You will perform using scrumban techniques and be embedded with end users. The team will work with technologies including: Open source, Commercial, and Government software
packages such as Kafka, Beam, Num Py, Kubeflow, Nvidia Triton, Py Torch, Tensor Flow, Weaviate, Neo4j, Grafana, etc. Cloud native techniques and containerization with Docker Infrastructure as Code with Terraform Configuration as Code with OPA Observability with tools like EFK and LOKI + OTel Leverage Git Ops patterns and CI/CD with tools like Git Lab, Argo, and Harness Perform SAST/DAST security with tools like Sonar Qube Perform Kubernetes and K3s orchestration with tools like Rancher and Konvoy SOSi is seeking data talent to unlock insights from massive datasets supporting strategic national security objectives.
If you have a passion for data science and want to apply your skills to
impactful projects at scale, we want to hear from you! Responsibilities Retrieve and process massive structured and unstructured datasets Build ML models and automated systems like recommendation and scoring tools Perform statistical analysis and data mining to create predictive systems Visualize insights using Microsoft Office, Tableau, Python, R Develop ML prototype solutions with Tensor Flow, Py Torch etc.
Evaluate model performance by applying data science and math Design, develop, and test ML applications using Python, Linux, Docker Brief methodology and results to technical and non-technical audiences Collaborate with teams to share best practices and domain knowledge Collaborate across teams to articulate key findings Work independently with minimal oversight Guide more junior team members Qualifications Top Secret Security Clearance Significant experience as a Data Scientist or advanced analytical role Expertise in Python, R, SQL, statistics, data mining Deep understanding of ML and deep learning techniques Expert at communicating complex insights Preferred Qualifications Top Secret Security Clearance with SCI eligibility Deep understanding of Sci ML Significant experience with MLOps Significant Experience with Petabyte scale data sets Significant Experience with large-scale, multi-INT analytics BS or MS in Computer Science, Statistics, Mathematics, Physics or a quantitative field Working Conditions Working conditions are normal for an office environment.
Fast paced, deadline-oriented environment. May require periods of non-traditional working hours including consecutive nights or weekends (if applicable). SOSi is an equal employment opportunity employer and affirmative action employer. All interested individuals will receive consideration and will not be discriminated against on the basis of race, color, religion, interaction, national origin, disability, age, interactionual orientation, gender identity, genetic information, or protected veteran status.
SOSi takes affirmative action in support of its policy to advance diversity and inclusion of individuals who are minorities, women, protected veterans, and individuals with disabilities. For more details: jobs-search. org/technology_reston-c449892/senior-data-scientist-security-clearance-required-reston_i1971907015
We are expecting award and funding of these positions in February 2024. The Mission The Leidos Defense Group provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence analysis and operations support.
Our team is solving the world’s toughest security challenges for customers with “can’t fail” missions. From scanning for illicit material at ports and borders to predicting future events and instability up to five years
in advance, our products help customers make the world safer. To explore and learn more, click here! Responsibilities: Analyze data, identify patterns and trends, and develop predictive models for data-driven decisions.
Ensure data is easily accessible, reliable, and secure. Develop strategies and apply mathematical, problem-solving, and coding skills to manage big data. backss effectiveness and accuracy of new data sources and data gathering techniques. Develop data models and algorithms to apply to data sets. Devise and use algorithms and models to mine big-data stores. Perform data and error analysis to improve models. Clean and validate data for uniformity and accuracy. Analyze data
for trends and patterns and extract meaning from and interpret data.
Qualifications: Bachelors degree and 4+ years of experience; a combination of education and experience may be considered in lieu of a Bachelors degree. TS/SCI security clearance Preferred Qualifications: Strong coordination and collaboration skills IAT level II certification Demonstrated experience with at least one programming language such as Python or R Demonstrated experience with general data science packages such as Pandas, Num Py, and Sci Py Demonstrated experience with relational database technologies and SQL, and querying through APIs for retrieving data AF DCGS weapon system experience is highly desired Pay Range: Pay Range $81,250.00 - $146,875.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary.
Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Original Posting Date: 12/21/2023 While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
For more details: jobs-search. org/data-scientist_newport-news-c449901/data-scientist-security-clearance-required-newport-news_i1971853380
verification protocol Prepare specimen based upon test ordered Rotate on a weekly basis with other laboratory technicians in clinical departments. Perform phlebotomy as needed Testing Identify appropriate based upon orders Follow procedures for either equipment or manual laboratory testing Report the results in the Laboratory Information System Quality Assurance Perform daily quality control Follows the laboratory quality control policies whenever test systems are not within the laboratory established acceptable levels of performance Calibration of instrumentation Preventive Maintenance of analyzers Troubleshooting of analyzers Retention of records according to CLIA standards Follow safety, and
infection control procedures to maintain compliance with internal and external regulations.
Disinfect equipment Clean room Dispose of bio-hazardous waste and sharps Provides a safe environment from physical, chemical, and biological hazards Perform routine maintenance as required by laboratory procedures Perform administrative duties as directed Document patient communications accurately and appropriately Answer telephones Order supplies and perform inventory of supplies and equipment Other duties as assigned PM22 Requirements: PREFERRED QUALIFICATIONS: High School diploma or GED Completion of formal training including either a B.
A. or AAS in appropriate field. Certification
or new graduate eligible for certification through ASCP Ability to follow procedures for specimen handling and processing, test analyses, reporting and maintaining records of patients results Knowledge of medical terms preferred Basic computer skills PERSONAL CHARACTERISTICS: Maintains confidentiality Service orientation: actively looks for ways to help people Attention to detail Determines work priorities Requires repetitive use of microscope Can stand and/or sit for long periods of time Can lift/carry up to 50 lbs PREFERRED QUALIFICATIONS: High School diploma or GED Completion of formal training including either a B.
A. or AAS in appropriate field. Certification or new graduate eligible for certification through ASCP Ability to follow procedures for specimen handling and processing, test analyses, reporting and maintaining records of patients results Knowledge of medical terms preferred Basic computer skills PERSONAL CHARACTERISTICS: Maintains confidentiality Service orientation: actively looks for ways to help people Attention to detail Determines work priorities Requires repetitive use of microscope Can stand and/or sit for long periods of time Can lift/carry up to 50 lbs PI565efbbf For more details: jobs-search.
org/laboratory-technician_pinehurst-c442008/laboratory-technician-pinehurst_i1971896168
Digitalents is a two-year program that gives you the opportunity to complete different assignments while working with professionals from all over the world. You'll be part of a cohort, a community of talents, that will receive personalized guidance and support to help build the foundation for your future career.
From empowering group learning and development experiences around the world to expert career advice, you'll work alongside and have exposure with senior leaders who are invested in your success. About the role: We are seeking a motivated scientist to join our team working on Spatial Omics, RNASeq and digital Biomarker datasets, and Machine Learning applied to the analysis of biomedical
data. The ideal candidate should have a background and interest in data science, artificial intelligence, bioinformatics, biomedical engineering, or computational biology.
As a computational Scientist, you will have the opportunity to work on two assignments based in two separate locations: first year in Cambridge (USA) and the second year in Frankfurt (Germany). Main responsibilities as Computational Scientist: Perform biomedical image analysis Conduct genomics data analysis Conduct single cell RNASeq analysis Develop scalable analysis pipelines Implement machine learning models for solving biomedical problems Collaborate with other team members on various research projects Work with
large-scale datasets and employ machine learning techniques to solve complex problems About you : Strong knowledge of Python Familiarity with R is a plus Solid statistical and mathematical knowledge Understanding of methods in bioinformatics/computational biology Excellent analytical and problem-solving skills Ability to work independently as well as in a team environment Strong written and verbal communication skills Advanced English level Prior experience with biomedical data analysis is a plus but not required Molecular biology knowledge is a plus but not required Please mind that o nly applications submitted in English will be considered.
Note: this role is a VIE opportunity and is only available to European citizens due to external regulations.
Target start date: May 2024 Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, interaction, national origin, interactionual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at ! #digitalents At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.
Digitalents Graduate Program - Computational Scientist At Sanofi, we advance the process from discovery to therapy with the power of digital. We don't settle for less, and we hope you don't either. Digitalents is your opportunity to make a real impact on the transformation of our business and people's lives across the globe. Why Digitalents? Digitalents is a two-year program that gives you the opportunity to complete different assignments while working with professionals from all over the world. You'll be part of a cohort, a community of talents, that will receive personalized guidance and support to help build the foundation for your future career.
From empowering group learning and development experiences around the world to expert career advice, you'll work alongside and have exposure with senior leaders who are invested in your success. About the role: We are seeking a motivated scientist to join our team working on Spatial Omics, RNASeq and digital Biomarker datasets, and Machine Learning applied to the analysis of biomedical data. The ideal candidate should have a background and interest in data science, artificial intelligence, bioinformatics, biomedical engineering, or computational biology.
As a computational Scientist, you will have the opportunity to work on two assignments based in two separate locations: first year in Cambridge (USA) and the second year in Frankfurt (Germany). Main responsibilities as Computational Scientist: Perform biomedical image analysis Conduct genomics data analysis Conduct single cell RNASeq analysis Develop scalable analysis pipelines Implement machine learning models for solving biomedical problems Collaborate with other team members on various research projects Work with large-scale datasets and employ machine learning techniques to solve complex problems About you : Strong knowledge of Python Familiarity with R is a plus Solid statistical and mathematical knowledge Understanding of methods in bioinformatics/computational biology Excellent analytical and problem-solving skills Ability to work independently as well as in a team environment Strong written and verbal communication skills Advanced English level Prior experience with biomedical data analysis is a plus but not required Molecular biology knowledge is a plus but not required Please mind that o nly applications submitted in English will be considered.
Note: this role is a VIE opportunity and is only available to European citizens due to external regulations. Target start date: May 2024 Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, interaction, national origin, interactionual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at ! #digitalents At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all. PDN-9aede302-642e-4693-98eb-e7f6c6013615
Insurance, Short/Long Term Disability - NEW! 4 weeks PAID PARENTAL LEAVE - Retirement: Inova matches dollar for dollar the first 5% of your eligible pay that you contribute to the plan - Competitive salary: Pay based experience - Amazing Paid Time Off: Accrue PTO hours on your very first day of work - Supplemental Plans: Including Auto/Home Insurance discounts, Pet Insurance, Identity Theft Protection - Additional Benefits: Educational Assistance of up to $5,250/year, Student Loan Refinancing, Adoption Assistance, Child Care Centers, Scholarship Program, Free Parking, Exclusive savings opportunities to in-store events, theme parks, discounts, movie tickets and local offerings and so much more!
See Full List of Benefits and Eligibility Here: 2023 INOVA BENEFITS GUIDE Requirements for consideration: Minimum Education: - Bachelor’s degree in science from a college/university recognized by regional or national accreditation agency.
Degree in Medical Laboratory Science or Medical Technology preferred. - Other acceptable forms of education/experience will follow the guidelines of ASCP/AMT Board certification Years of Experience: - Successful completion of a NAACLS accredited MLS program or ABHES accredited MLT program, within the last 12 months can be used in lieu of one year full time acceptable clinical experience. Certification: - Must be eligible for ASCP or AMT Board certification
consistent with scope of responsibility to include: MT, MLS, MLT, BB, SBB, C, H, M, SH, SCT, MB, SMB, SM, SC, HEW.
- Certification must be obtain within 2 years of hire date. Job Responsibilities - Communicate effectively and work cooperatively with team members to optimize job performance and foster working relationships. - To help achieve our mission, you will ensure quality specimens for Laboratory testing by recognizing pre-analytical factors that adversely affect patient results. - Your ability to operate systems/methodologies in order to produce timely and accurate data for patients, quality control and proficiency testing is of vital importance.
- Participating in departmental development by demonstrating operational knowledge and adhering to regulatory standards is required. - Participating in professional growth opportunities to enhance personal, team and departmental development is expected. - Other duties and responsibilities as assigned #LI-AL1 Inova Job ID #651956. Posted job title: medical laboratory scientist 1-full time (nights)For more details: jobs-search. org/technology_alexandria-c449899/job_i1972504007
colleagues respond. Join our team to use your talent, training, & passion to help CDC continue as the world's premier public health organization. Visit Duties As a Health Scientist (Violence Prevention), you will: Design and implement surveys, studies or projects that incorporate epidemiological, cultural, social, and behavioral factors, Participate in interdisciplinary research that involves epidemiological investigations and evaluating social and behavioral science research design, methodology, and analysis related to: violence prevention topics in public health Analyze, interpret, and prepare data for injury reports, scientific abstracts, program planning and evaluation of injury and violence
prevention initiatives.
Identify and assist in facilitating data-driven injury and violence prevention initiatives in public health. Prepare scientific and other articles and technical reports for publication about the results and implications of scientific investigations of injury and violence prevention.
Requirements Conditions of Employment Due to the Centers for Disease Control and Prevention's (CDC's) process enhancement to use Shared Certificates throughout the Agency, some of the requirements below may differ: US Citizenship required. Males born after December 31, 1959 must be registered or exempt from Selective Service (). May be subject to a Background/Security Investigation.
Security clearance level may differ from the position announced when certificates are shared.
CDC participates in the USCIS Electronic Employment Eligibility Verification Program (). If selected, CDC will determine your employment eligibility using your social security number. Direct deposit is required. One-year probationary period may be required. Travel, transportation, and moving expenses may be paid. PCS Expenses may be authorized, subject to the terms of the Joint Travel Regulation. This position may be subject to a Collective Bargaining Agreement. In accordance with Executive Order 12564 of September 14, 1986, The Department of Health and Human Services (HHS) is A Drug-Free Federal Workplace.
This position may require a Drug Test and be subject to Random Drug Testing. The position may require the submission of a urinalysis to screen for illegal drug use prior to appointment and be subject to reasonable suspicion and post-accident drug testing upon hiring. If required to submit to urinalysis, the appointment to the position will be contingent upon a negative test result. Qualifications All qualification requirements must be met by the closing date of the announcement. Basic Qualifications: Bachelor's or graduate/higher level degree: major study in an academic field related to the medical field, health sciences or allied sciences appropriate to the work of the position.
This degree must be from an educational program from an accrediting body recognized by the at the time the degree was obtained. Minimum Qualifications: To qualify at the GS-12 grade level, you must have at least one year of specialized experience at or equivalent to the GS-11 grade level, which must include the following experience: planning and conducting scientific surveys/studies or projects to identify and solve prevention of violence (i. e. child abuse and neglect, child interactionual abuse, community violence, youth violence, intimate partner violence, teen dating violence, interactionual violence, and elder abuse).
To qualify at the GS-13 grade level, you must have at least one year of specialized experience at or equivalent to the GS-12 grade level, which must include the following experience: designing, overseeing, implementing and conducting surveys/studies or projects to identify and solve prevention of violence (i. e. child abuse and neglect, child interactionual abuse, community violence, youth violence, intimate partner violence, teen dating violence, interactionual violence, and elder abuse).
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e. g. Peace Corps, Ameri Corps) and other organizations (e. g. professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Promotion potential: Promotion to the next grade level is at management's discretion and is based on your meeting qualifications and time-in-grade requirements, demonstrated ability to perform the higher-level duties, the continuing need for the higher-level duties, and administrative approval.
Promotion to the next grade level is not guaranteed and no promise of promotion is implied. How You Will Be Evaluated You will be evaluated for this job based on how well you meet the qualifications above. Once the application process is complete, a review of the resume and supporting documentation will be made and compared against your responses to the backssment questionnaire to determine if you are qualified for this job.
If, after reviewing your resume and/or supporting documentation, a determination is made that you have inflated your qualifications and/or experience, you may lose consideration for this position. Please follow all instructions carefully. Errors or omissions may affect your eligibility. Category rating procedures will be used to rate and rank candidates. The category assignment is a measure of the degree to which your background matches the competencies required for this position. Qualified candidates will be ranked into one of three categories: Best Qualified, Well Qualified or Qualified.
The Category Rating Process does not add veterans' preference points but protects the rights of veterans by placing them ahead of non-preference eligibles within each category. Preference eligibles who meet the minimum qualification requirements and who have a compensable service-connected disability of at least 10 percent must be listed in the highest quality category (except in the case of scientific or professional positions at the GS-9 level or higher). Your qualifications will be evaluated on the following competencies (knowledge, skills, abilities and other characteristics): Data Analysis and Interpretation Data and Information Synthesis Data Collection Needs backssment (2) Program Evaluation Program Management Public Health Knowledge Research Translation Additional selections may be made for similar positions across the Department of Health and Human Services (HHS) within the local commuting area(s) of the location identified in this announcement.
By applying, you agree to have your application shared with interested selecting official(s) at HHS. Clearance of CTAP/ICTAP will be applied for similar positions across HHS.
Required Documents To apply for this position, you must submit a complete Application Package which includes: 1. Resume - Your resume showing name, work schedule, hours worked per week, dates (month/year) of employment and duties performed. (If you are a current or former Federal employee provide your pay plan, series and grade in your resume, i. e. GS-0301-9). Do not include the following types of information in your profile or resume: Classified or government sensitive information Social Security Number (SSN) Photos of yourself Personal information, such as age, gender, religious affiliation, etc.
Encrypted and digitally signed documents 2. Veterans' Preference (If Applicable) - If claiming veterans' preference, you must submit a copy of your DD-214 (Member 4 copy), or other official documentation from a branch of the Armed Forces or the Department of Veterans Affairs showing dates of service and type of discharge. Ten-point preference eligibles must also submit an , along with the required documentation listed on the back of the SF-15 form. For more information on veterans' preference view 3. Transcripts ( required) - You may submit an unofficial transcript with your application package.
An official transcript from an accredited educational institution is required if you are selected for the position.4. Other supporting documents: Cover Letter, optional Career Transition Assistance Program documentation, if applicable (e. g. Certification of Expected Separation, Reduction-In-Force Separation Notice, or Notice of Proposed Removal; SF-50 that documents the RIF separation action; and most recent performance appraisal). Interagency Career Transition Assistance Program (ICTAP): For information on how to apply as an ICTAP eligible see.
To be well-qualified and exercise selection priority for this vacancy, displaced Federal employees must be rated at 85.0 or above on the rating criteria for this position. Current or Former Political Appointees: Agencies must seek prior approval from the Office of Personnel Management (OPM) before they can appoint a current or recent political appointee to a competitive or non-political excepted service position at any level under the provisions of title 5, United States Code. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, or Non-career SES employee in the executive branch, you MUST disclose that to the Human Resources Office.
Failure to disclose this information could result in disciplinary action including removal from Federal Service. Current or Former Political Appointees: Submit SF-50. Failure to submit any of the above-mentioned required documents will result in loss of consideration due to an incomplete application package. It is your responsibility to ensure all required documents have been submitted. For Resume and Application Tips visit: If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.
S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating. PDN-9aedf107-2d0a-41e5-b6a4-9afe4db1d4e4
Scientist to join their evening team! Hours: 2:45pm-11:15pm Inova Benefits and Perks: - Health, Vision, and Dental Coverage - Life Insurance, Short/Long Term Disability - NEW! 4 weeks PAID PARENTAL LEAVE - Retirement: Inova matches dollar for dollar the first 5% of your eligible pay that you contribute to the plan - Competitive salary: Pay based experience - Amazing Paid Time Off: Accrue PTO hours on your very first day of work - Supplemental Plans: Including Auto/Home Insurance discounts, Pet Insurance, Identity Theft Protection - Additional Benefits: Educational Assistance of up to $5,250/year, Student Loan Refinancing, Adoption Assistance, Child Care Centers, Scholarship Program, Free Parking,
Exclusive savings opportunities to in-store events, theme parks, discounts, movie tickets and local offerings and so much more!
See Full List of Benefits and Eligibility Here: 2023 INOVA BENEFITS GUIDE Requirements for consideration: Minimum Education: - Bachelor’s degree in science from a college/university recognized by regional or national accreditation agency.
Degree in Medical Laboratory Science or Medical Technology preferred. - Other acceptable forms of education will follow the guidelines of ASCP/AMT Board certification. Years of Experience: - Successful completion of a NAACLS accredited MLS program, NAACLS or ABHES accredited MSL program, or a foreign medical laboratory
science clinical training program within the last five years can be used in lieu of one year of full time acceptable clinical experience.
Certification Upon Start: - ASCP or AMT Board certification consistent with scope of responsibility to include MT, MLS, MLT, BB, SBB, C, H, M, SH, SCT, MB, SMB, SM, SC, and HEW. Job Responsibilities included but not limited to: - As a Medical Laboratory Scientist 2, you will ensure quality specimens for Laboratory testing by recognizing pre-analytical factors that adversely affect patient results. - To help achieve our mission, you will operate systems/methodologies in order to produce timely and accurate data for patients, quality control and proficiency testing.
- Participating in departmental development by demonstrating operational knowledge and adhering to regulatory standards is of vital importance. - Communicating effectively and working cooperatively with team members to optimize job performance and foster working relationships is required. - Participating in professional growth opportunities to enhance personal, team and departmental development is expected. Inova’s Anti-Discrimination Employment Policy Inova Health System is committed to equal employment opportunity and affirmative action. To fulfill this commitment, Inova Health System does not discriminate in any employment-related decision and administers all of its employment programs, procedures and practices without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, pregnancy (including childbirth, pregnancy-related conditions and lactation), race, religion, interaction, interactionual orientation, veteran status, genetic information.
Inova operates both affirmative action and equal opportunity programs, consistent with federal and state requirements, including Governor's Executive Order One (2018).
Consistent with federal and state requirements, Inova also prohibits retaliation against any person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice. #LI-AL1 Inova Job ID #648502. Posted job title: medical laboratory scientist 2-full time (evenings)For more details: jobs-search. org/technology_falls-church-c449844/job_i1972576847
colleagues respond. Join our team to use your talent, training, & passion to help CDC continue as the world's premier public health organization. Visit Duties As a Lead Health Scientist (Informatics), you will: Develop and implement scientific policies and procedures on informatics practices and principles.
Provide leadership in designing, coordinating, and maintaining information technology (IT) project goals, objectives, and priorities within a CIO and/or CDC/ATSDR and in the general public health community. Develop strategies to meet short and long-range goals for the applicable program and assures that strategies reflect most promising directions in research, preventive, and clinical
approaches as it relates to public health informatics. Collaborate and provides expert scientific advice to a variety of nation-wide and international organizations to synthesize, develop and implement informatics policies and directions for future development.
Provide leadership in the development, testing, implementation and evaluation of scientific information technology and information systems needs and applicable software systems relating to public health informatics within the area of responsibility. Promote the development, use and dissemination of information and information technology regarding health data systems, with an emphasis on public health applications. Requirements
Conditions of Employment Due to the Centers for Disease Control and Prevention's (CDC's) process enhancement to use Shared Certificates throughout the Agency, some of the requirements below may differ: US Citizenship required.
Males born after December 31, 1959 must be registered or exempt from Selective Service (). May be subject to a Background/Security Investigation. Security clearance level may differ from the position announced when certificates are shared. CDC participates in the USCIS Electronic Employment Eligibility Verification Program (). If selected, CDC will determine your employment eligibility using your social security number. Direct deposit is required.
One-year probationary period may be required. Travel, transportation, and moving expenses may be paid. PCS Expenses may be authorized, subject to the terms of the Joint Travel Regulation. This position may be subject to a Collective Bargaining Agreement. This position may be subject to the OGE Financial Disclosure requirements of the Ethics in Government Act of 1978 (P. L. 95-521). CDC inspires public confidence in its trust responsibilities and mission by maintaining high ethical principles. If selected, you may be required to complete a Confidential Financial Disclosure Report (OGE Form 450) to determine if a conflict or an appearance of a conflict exists between your financial interest and your prospective position with the agency.
If identified, this will be an annual requirement. In accordance with Executive Order 12564 of September 14, 1986, The Department of Health and Human Services (HHS) is A Drug-Free Federal Workplace. This position may require a Drug Test and be subject to Random Drug Testing. The position may require the submission of a urinalysis to screen for illegal drug use prior to appointment and be subject to reasonable suspicion and post-accident drug testing upon hiring.
If required to submit to urinalysis, the appointment to the position will be contingent upon a negative test result. Qualifications All qualification requirements must be met by the closing date of the announcement. Basic Qualifications: Bachelor's or graduate/higher level degree: major study in an academic field related to the medical field, health sciences or allied sciences appropriate to the work of the position. This degree must be from an educational program from an accrediting body recognized by the at the time the degree was obtained. Minimum Qualifications: To qualify at the GS-14 grade level, you must have at least one year of specialized experience at or equivalent to the GS-13 grade level, which must include the following experience: developing scientific policies for public health informatics; development, testing, implementation, and evaluation of scientific information technology and information system needs; and/or maintaining information technology (IT) project goals, objectives, and priorities.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e. g. Peace Corps, Ameri Corps) and other organizations (e.
g. professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. How You Will Be Evaluated You will be evaluated for this job based on how well you meet the qualifications above. Once the application process is complete, a review of the resume and supporting documentation will be made and compared against your responses to the backssment questionnaire to determine if you are qualified for this job.
If, after reviewing your resume and/or supporting documentation, a determination is made that you have inflated your qualifications and/or experience, you may lose consideration for this position. Please follow all instructions carefully. Errors or omissions may affect your eligibility. Category rating procedures will be used to rate and rank candidates. The category assignment is a measure of the degree to which your background matches the competencies required for this position. Qualified candidates will be ranked into one of three categories: Best Qualified, Well Qualified or Qualified.
The Category Rating Process does not add veterans' preference points but protects the rights of veterans by placing them ahead of non-preference eligibles within each category. Preference eligibles who meet the minimum qualification requirements and who have a compensable service-connected disability of at least 10 percent must be listed in the highest quality category (except in the case of scientific or professional positions at the GS-9 level or higher). Your qualifications will be evaluated on the following competencies (knowledge, skills, abilities and other characteristics): Data Analysis and Interpretation Data and Information Synthesis Data Collection Program Management Public Health Knowledge Research (2) Team Building Additional selections may be made for similar positions across the Department of Health and Human Services (HHS) within the local commuting area(s) of the location identified in this announcement.
By applying, you agree to have your application shared with interested selecting official(s) at HHS. Clearance of CTAP/ICTAP will be applied for similar positions across HHS.
Required Documents To apply for this position, you must submit a complete Application Package which includes: 1. Resume - Your resume showing name, work schedule, hours worked per week, dates (month/year) of employment and duties performed. (If you are a current or former Federal employee provide your pay plan, series and grade in your resume, i. e. GS-0301-9). Do not include the following types of information in your profile or resume: Classified or government sensitive information Social Security Number (SSN) Photos of yourself Personal information, such as age, gender, religious affiliation, etc.
Encrypted and digitally signed documents 2. Veterans' Preference (If Applicable) - If claiming veterans' preference, you must submit a copy of your DD-214 (Member 4 copy), or other official documentation from a branch of the Armed Forces or the Department of Veterans Affairs showing dates of service and type of discharge. Ten-point preference eligibles must also submit an , along with the required documentation listed on the back of the SF-15 form. For more information on veterans' preference view 3. Transcripts (Are Required) - You may submit an unofficial transcript with your application package.
An official transcript from an accredited educational institution is required if you are selected for the position.4. Other supporting documents: Cover Letter, optional Career Transition Assistance Program documentation, if applicable (e. g. Certification of Expected Separation, Reduction-In-Force Separation Notice, or Notice of Proposed Removal; SF-50 that documents the RIF separation action; and most recent performance appraisal). Interagency Career Transition Assistance Program (ICTAP): For information on how to apply as an ICTAP eligible see. To be well-qualified and exercise selection priority for this vacancy, displaced Federal employees must be rated at 85.0 or above on the rating criteria for this position.
Current or Former Political Appointees: Agencies must seek prior approval from the Office of Personnel Management (OPM) before they can appoint a current or recent political appointee to a competitive or non-political excepted service position at any level under the provisions of title 5, United States Code. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, or Non-career SES employee in the executive branch, you MUST disclose that to the Human Resources Office.
Failure to disclose this information could result in disciplinary action including removal from Federal Service. Current or Former Political Appointees: Submit SF-50. Failure to submit any of the above-mentioned required documents will result in loss of consideration due to an incomplete application package. It is your responsibility to ensure all required documents have been submitted. For Resume and Application Tips visit: If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.
S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating. PDN-9aedf122-dac5-4996-bd75-fc5e809fe112
large volumes of data required. Minimum of Top Secret clearance with eligibility for SCI required. Requirements: Four-year degree from a fully accredited college or university Certifications may be accepted in lieu of a degree for select technical requirements 5+ years' experience in data analysis, exploration, cleaning, visualization, or mining of structured, unstructured, or semi-structured data Proficiency with one or more programming languages Java, C++, Python, R, etc.
Proven Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources Experience with designing and executing machine learning models and applications to include natural
language processing, text mining, or machine learning techniques Experience cleansing data for data science applications using data wrangling techniques Ability to build statistical models and develop machine learning algorithms TS-SCI clearance Preferred: Bachelor's degree in Operations Research, Applied Mathematics, Industrial Engineering, Physics, Statistics, Computer Science, or related fields from a fully accredited college or university Master's degree in Data science, Engineering, or Applied Mathematics Knowledge and experience with the following: Distributed programming languages such as Spark or Scala Distributed data and computing tools such as Map Reduce, Hadoop, Hive, EMR, Kafka,
Gurobi, or My SQLA Data engineering and data science tools such as Databricks, Elastic Search, Apache, Ni Fi, or Stream Sets Business intelligence tools such as Tableau or Qlik Visualization packages such as Plotly, Seaborn, or ggplot2 Data lakes, data warehouses, or data lake houses Cloud services such as AWS, Azure, or Google Cloud Enterprise Data Ops, Dev Sec Ops, and MLOps processes to operationalize and monitor data science models Experience with CI/CD processes (continuous integration, continuous delivery and or continuous deployment) using Git, Jenkins, and/or Docker Experience in the development of algorithms leveraging R, Python, or SQL/No SQL Excellent verbal and written communication skills with the ability to listen intently Experience with decision models, wargaming, simulation, or resource allocation Command and General Staff College or Service Duties/Responsibilities: Explore and operationalize data sources to uncover and communicate product and business insights Coordinate research and analytic activities utilizing various data points (unstructured and structured) Utilize programming to clean, massage and organize data Experiment against data points to facilitate the discovery of solutions for data challenges Apply specific functional knowledge related to data analysis and general industry knowledge to support the client's objectives Develop or contribute to a variety of data solutions ranging from moderate to complex in scope May review or guide more junior employees About Group W: Group W is a 100% employee-owned company that hires great people to provide analysis, modeling, simulation, wargaming, and research, for visionary clients in government, commercial, and non-governmental entities.
Founded in 2004. Group W is comprised of the brightest critical thinkers that balance an unconventional culture in support of one of the most conservative, conventional client groups, to bring forward the best ideas and get to " the right answer" through creativity, truth, passion, intellect, and skill.
Group W employee-owners enjoy: A 100% employer-paid, 99th percentile-quality healthcare, dental and vision plan Vesting in the Employee Stock Ownership Plan Safe Harbor 401(k) contributions 33 days of PTO with no blackout dates Group W is committed to providing equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, interactionual orientation, national origin, age, disability, status as a covered veteran, or other similarly protected status in accordance with applicable federal, state, and local laws.
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