scientist

Gemini Industries

<p></p><div><b>Data Scientist (Data Scientist &ndash; Journeyman)
</b><div><div>Location <b>Lackland AFB, TX
</b></div><div>Clearance Level <b>Top Secret/SCI Clearance Required
</b></div><div>Job Code <b>1183</b></div></div></div>
<br><div><div><div><div><div><p>Gemini Industries Inc. provides technical, management and operations services to support National Security projects. We provide rapid response to the critical needs of our customers and those they serve. We perform analyses and develop operations plans to anticipate and prepare for the future. And we deliver advanced technology to improve our customer&rsquo;s success in executing its mission.</p><p>
Gemini seeks innovative, results-oriented individuals with the creativity, initiative, and intelligence to overcome any challenge and succeed. Members of the Gemini team thrive in a culture that is anticipatory, agile, and schedule-driven; with a sense of urgency and a drive to succeed. Our culture involves:</p><ul><li>
The best and brightest personnel</li><li>
Work at a high operations tempo</li><li>
Integrated teams delivering rapid solutions.</li><li>
An attitude that balances &ldquo;I can make it better&rdquo; with &ldquo;As long as we succeed.&rdquo;</li></ul><h2 class="jobSectionHeader"><b>
Data Scientist (Data Scientist &ndash; Journeyman)</b></h2><p></p><div><div><p><b>
Location:</b><b> </b>JBSA Lackland (Situational telework)</p></div><div><p><b>
Clearance:</b><b> </b>TS/SCI</p><p><b>
Education:</b> BA/BS (or an AA/AS and additional 4 years of work-related experience)</p><p><b>
Outcomes:</b></p><p>
The successful candidate is expected to accomplish the following outcomes during the first year in the position:</p><ul><li>
Formally track all tasks, to include: assigned by, suspense, status, and comments on all assigned tasks through completion and be prepared to brief upon request.</li><li>
Develop digital continuity folders and files that include standard operating procedures, workflows and POC lists to accomplish all tasks.</li><li>
Create 2-3 products beyond the client&rsquo;s requirements that positively impact the client to either increase efficiency, effectiveness, or innovation.</li><li>
Master position tasks within 60 days and exceed requirements within 90 days.</li></ul><p><b>
Responsibilities:</b></p><p>
The Data Scientist will be supporting Department of Air Force, JBSA &ndash; Lackland, Insider Threat (DAF InT) Program, an organization and program that will be developing and integrating forward-looking technologies to enhance the DoD worldwide mission, maturing its architecture of hardware, software, and advanced intelligence problem solving. The Data Scientist supports the production and the continued advancement of data analytical processes and techniques within the operational and technical aspects of the DAF InT programs, policies and concepts.</p><p>
The successful candidate is someone who creatively approaches a variety of requirements to meet intelligence needs, can balance work on multiple tasks, and work collaboratively with other scientists, engineers, and analysts in a collaborative, dynamic, cross-functional environment. The Data Scientist is responsible for producing applied research in the intelligence field. Per PWS labor category for Data Scientist, p. 75 and PWS section 1.3.10.11, Consulting Support, specific responsibilities include, but are not limited to:</p><ul><li>
Analyze complex datasets using statistical and machine learning techniques to extract insights and patterns.</li><li>
Develop predictive models for forecasting, anomaly detection, and risk assessment.</li><li>
Collaborate with SMEs to understand domain-specific data and requirements for analysis.</li><li>
Implement data mining and exploratory data analysis techniques to uncover hidden trends and correlations.</li><li>
Perform data cleansing and preprocessing to ensure data quality and integrity.</li><li>
Create data visualizations and interactive dashboards to present findings and insights.</li><li>
Apply natural language processing (NLP) techniques for unstructured data analysis and text mining.</li><li>
Develop algorithms for pattern recognition, clustering, and classification of data.</li><li>
Communicate findings and recommendations to stakeholders through reports, presentations, and data storytelling.</li><li>
Ensure compliance with data privacy, security and ethical guidelines in data analysis and model development.</li><li>
Collaborate with data engineers to access, integrate and preprocess data for analysis purposes.</li><li>
Provide skilled analytics and data science techniques to support decision-making and mission-critical operations. Staying current with the latest developments in data science, machine learning, and artificial intelligence to apply innovative approaches to data analysis.</li><li>
Develop Data Analytics and data processing scripts, tools and applications in support of the mission.</li><li>
Conduct sector, industry, and company-level primary research leveraging business intelligence tools to uncover and evaluate industry trends.</li><li>
Assist in development and authoring of research reports;</li><li>
Leverage analytics to offer insights and reports relevant to the Air Force, USG stakeholders, corporate entities, investors, and industry associations.</li></ul><p><b>
Qualifications:</b></p><p>
The candidate must have the following qualifications:</p><ul><li>
Minimum of five (5) years of work-related experience.</li><li>
Of those 5 years, at least 4 years of work-related experience supporting a component of the DoD.</li><li>
Development experience in mid-level languages, like Java, C++, Python, or SQL</li><li>
Proficiency in Python.</li><li>
Experience with Spark, DataBricks, and Structured Query Language (SQL)</li><li>
Experience in Data wrangling, Machine Learning, Data Visualization, Database Management, Cloud Computing, and Data Governance.</li><li>
Experience documenting decision charts, processes, and standard operating procedures</li><li>
Experience building briefings and materials and presenting at varying levels of leadership, peers, and program stakeholders.</li><li>
Experience in analyzing large datasets, developing predictive models, and creating data driven solutions for decision making.</li><li>
Experience analyzing complex datasets using statistical and machine learning techniques to extract insights and patterns.</li><li>
Experience developing forecasts, anomaly detection and risk assessments.</li><li>
Excellent written and verbal communications.</li><li>
Experience with stakeholder collaboration,, management, and briefings.</li><li>
Ability to evaluate and synthesize multiple sources of information to creatively inform decision options that consider various outcomes; demonstrate the ability to combine diverse ideas, problem sets, solutions, and outcomes into a singular storyline that can inform and be absorbed by experts and novices alike.</li></ul><p><b>
The following qualifications are desired:</b></p><ul><li>
Advanced proficiency in Microsoft Office Software, specifically Visio and PowerPoint</li><li>
Minimum of 2 years of experience in a data science or equivalent field.</li><li>
Excellent oral, written, and interpersonal communication skills</li><li>
Experience with Department of Defense (DoD) and/or AF administrative processes (preferred)</li><li>
Ability to work under pressure and meet deadlines in a rapidly changing and demanding environment.</li><li>
Detail oriented, flexible, ability to context switch.</li><li>
Strong understanding of statistics and probability</li><li>
Knowledge of Amazon AWS capabilities and infrastructure</li><li>
Knowledge of various DoD systems, data platforms, and DITMAC reportable thresholds (preferred).</li><li>
Knowledge of DoD and DAF Insider Threat Policies and Regulations (preferred).</li><li>
Knowledge of DoD and DAF data related laws, regulations, and policies (preferred).</li><li>
Experience supporting the Air Force (preferred).</li><li>
Multiple data analysis languages, methods, and tool expertise (preferred)</li></ul><p>
Desired Certifications:</p><ul><li>
Data Science Council of America (DASCA) or Open Certified Data Scientist (Open CDS) (preferred)</li><li>
Certified Analytics Professional (CAP) (preferred)</li><li>
SAS Certified Professional: AI and Machine Learning (preferred)</li><li>
SAS Certified Advanced Analytics Professional (preferred)</li><li>
SAS Certified Data Scientist (preferred)</li><li>
DataBricks Certified Data Engineer Professional (preferred)</li></ul><p></p><p><b><br>
Travel</b>: Some travel involved, less than 10%.</p><p></p><p><b><br>
Other Requirements:</b></p></div></div><p></p><p><b><br>
We seek:</b></p><ul><li>
Highly motivated self-starters</li><li>
Resourceful individuals with extraordinary intellectual capability and the ability to rapidly learn and apply new concepts.</li><li>
Individuals who have a &ldquo;let me try&rdquo; attitude and are resilient, present an opinion/position, justify it, and then accept whatever decision is made and charge forward.</li><li>
Individuals who view criticism as an opportunity to improve (&ldquo;let me try again&rdquo;)</li><li>
Individuals who think and create, enhancing the company with a steady flow of fresh ideas, perspective, and energy.</li></ul><p><b>
Direct Inquiries and Resumes to our Talent Management Team:</b><br>
Yashira Santiago<br>
Andrew Ackley<br>
Gabrial Mira<br>
Mitchell Jimenez<br>
<b>Gemini Industries Inc.</b><br>
<b>Telephone: (813) 286 - 4777</b><br>
<b>Jobs@gemini-ind.com</b></p><p>
Gemini Industries Inc. is proud to be an Equal Opportunity / Affirmative Action Employer. We are committed to abiding by the requirements of 41 CFR &sect;&sect; 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability and any other basis protected by applicable law.</p></div></div></div></div></div><p></p>

Data Scientist (Data Scientist – Journeyman)

Piper Companies

<div>
 <strong>
  Piper Companies is seeking a Data Scientist to join a highly technical Data and AI organization supporting a large-scale global payments environment.
 </strong>
 This role will focus on building advanced data science and machine learning solutions that translate complex data into actionable, revenue-driving insights. The Data Scientist will work closely with business, product, and engineering teams to design, test, and deploy models into production systems. The Data Scientist position requires strong technical depth, comfort operating in fast-paced environments, and a passion for applied research.
 <strong>
  This role is onsite or hybrid in Charlotte NC
 </strong>
 based on business needs. Must be authorized to work in the US without sponsership.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Frame complex business problems using advanced data science, statistical modeling, and machine learning techniques
  </li>
  <li>
   Design, build, and deploy scalable machine learning pipelines and production-level models
  </li>
  <li>
   Develop and test models across areas such as recommendation systems, time-series forecasting, optimization, and natural language processing
  </li>
  <li>
   Partner with cross-functional stakeholders to identify opportunities to leverage internal and external data for business impact
  </li>
  <li>
   Own critical research initiatives and application development efforts from concept through production
  </li>
  <li>
   Run large-scale experiments and A/B tests to evaluate and improve model performance
  </li>
  <li>
   Contribute to cross-team collaboration and help advance overall data science capabilities
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in a quantitative field such as Computer Science, Mathematics, Statistics, Physics, or a related discipline
  </li>
  <li>
   3 or more years of experience translating mathematical models and algorithms into production-ready code
  </li>
  <li>
   Strong programming experience in Python and Kfka and or C++
  </li>
  <li>
   Solid foundation in probability, statistics, and applied machine learning
  </li>
  <li>
   Hands-on experience with areas such as NLP, time-series analysis, and Generative AI
  </li>
  <li>
   Prior experience working in a highly technical, data-driven research or engineering environment
  </li>
  <li>
   Ability to clearly communicate complex technical concepts to both technical and non-technical audiences
  </li>
  <li>
   Must be authorized to work in the United States
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   $115.000 -$135,000 annually
  </li>
  <li>
   Comprehensive benefits package including medical, dental, vision, and 401(k) options
  </li>
  <li>
   Paid time off and paid holidays
  </li>
 </ul>
</div>


Data Scientist

University of Florida

<p></p><div><div><p><b>JOB NO:</b></p>
<div>539216</div><br>
<p><b>WORK TYPE:</b></p>
<div>Tenure-Track Faculty</div><br>
<p><b>LOCATION:</b></p>
<div>Main Campus (Gainesville, FL)</div><br>
<p><b>CATEGORIES:</b></p>
<div>Health Care Administration/Support, Medicine/Physicians</div><br>
<p><b>DEPARTMENT:</b></p><div>
29080100 - MD-PATHOLOGY-GENERAL</div></div><br>
<div>
<div><div><div><div><b>CLASSIFICATION TITLE:</b></div> <div>Assistant Scientist</div>
</div><br>
<div><div><b>CLASSIFICATION MINIMUM REQUIREMENTS:</b></div>
<div>
<p>A PhD in biology, biomedical science, biomedical engineering or other related engineering field, cardiovascular or science</p></div><br>
</div><br>
<div><div><b>JOB DESCRIPTION:</b></div>
<div>
<p>The Assistant Scientist will join a highly interactive and collaborative research team to study the effects of drugs of abuse and HIV infection on the vasculature. The Assistant Scientist must be willing to work on several different projects involving infectious agents, drugs of abuse, and microfluidic models of the vasculature (lung, salivary glands, larynx, aorta, barriers of the CNS). In addition, the Assistant Scientist will be in charge of proper record keeping of methodology, experimental plan, results etc. It is also expected that the scientist will analyze data, perform analyses, present results, and prepare data for publication. The successful candidate will be encouraged to facilitate collaborative research efforts with other laboratories and to train laboratory personnel (including students) in research methods, procedures, and equipment.</p></div><br>
</div><br>
<div><div><b>EXPECTED SALARY:</b></div>
<div>
<p>$80,000</p></div><br>
</div><br>
<div><div><b>REQUIRED QUALIFICATIONS:</b></div>
<div><ul><li>Highly motivated individual capable of working independently or as part of a team.</li>
<li>Proficient in standard lab/office equipment and software, including MS Office.</li>
<li>Willingness to work with infectious agents.</li>
<li>Experience with cell culture and animal models</li>
<li>Strong written and oral communication skills.</li>
<li>Demonstrate organizational skills with the ability to handle multiple tasks.</li>
<li>Ability to keep accurate records of research performed to NIH standards.</li>
<li>Ability to interact with collaborators, which includes students, faculty, and staff.</li>
</ul>
</div></div><br>
<div><div><b>PREFERRED:</b></div> <div>Experience with endothelial cells, computer-aided design modeling and software, microfluidic models, and microscopy</div>
</div><br>
<div><div><b>SPECIAL INSTRUCTIONS TO APPLICANTS:</b></div>
<div>
<p>In order to be considered, you must upload your cover letter and resume.</p>
<p>
Application must be submitted by 11:55 p.m. (ET) of the posting end date.</p>
<p>
Applicants should apply online @ jobs.ufl.edu, and include a curriculum vitae, a letter outlining interests, and three letters of reference. The letters may also be sent directly to Dr. Allison Andrews, (andrews.allison@ufl.edu), Search Committee Chair, Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, and copy Stacey Oliver (oliversl@ufl.edu ).</p></div><br>
</div><br>
<div><div><b>HEALTH ASSESSMENT REQUIRED:</b></div> <div>Yes</div></div></div><br>
</div>
</div><p></p><div><p><b>ADVERTISED:</b></p>
<div>19 Mar 2026</div> Eastern Daylight Time<br>
<p><b>APPLICATIONS CLOSE:</b></p>
<div><div>03 Apr 2026</div></div>
Eastern Daylight Time</div></div><p></p>

Assistant Scientist

Lumicity

<div>
 <p>
  <strong>
   AI Research Scientist &ndash; NLP/Computational Linguistics
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  A well-funded applied AI startup is building advanced systems to distinguish human-created content from machine-generated content. The team combines frontier research with real-world deployment, turning cutting-edge ideas into production systems used at scale.
 </p>
 <p>
  <br/>
 </p>
 <p>
  They&rsquo;re hiring an
  <strong>
   AI Research Scientist
  </strong>
  to improve and scale core detection models. This is a hands-on role where you&rsquo;ll train large neural networks, design experiments, and push model performance forward, while also shipping code into production.
 </p>
 <p>
  <br/>
 </p>
 <p>
  What You&rsquo;ll Do
 </p>
 <ul>
  <li>
   Train and fine-tune large-scale deep learning models
  </li>
  <li>
   Design experiments to improve robustness and generalization
  </li>
  <li>
   Create and leverage synthetic data at scale
  </li>
  <li>
   Contribute new ideas that materially improve model accuracy
  </li>
  <li>
   Collaborate with engineering to deploy research into production systems
  </li>
  <li>
   Share insights through technical writing or publications where appropriate
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  This is not a purely academic role, you&rsquo;ll be expected to code, ship, and iterate.
 </p>
 <p>
  <br/>
 </p>
 <p>
  What They&rsquo;re Looking For
 </p>
 <ul>
  <li>
   PhD in ML/AI/NLP (or equivalent research experience at a leading AI lab)
  </li>
  <li>
   Publications at top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
   <strong>
    or
   </strong>
   meaningful contributions to deployed AI systems
  </li>
  <li>
   Strong understanding of generative models and modern LLMs
  </li>
  <li>
   Experience training models in PyTorch at scale
  </li>
  <li>
   Evidence your research has led to real-world impact
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Bonus Points
 </p>
 <ul>
  <li>
   Work in robustness, interpretability, synthetic data, or model evaluation
  </li>
  <li>
   Background in NLP, computational linguistics, vision, audio, or other adjacent ML domains
  </li>
  <li>
   Experience with distributed training or ML infrastructure
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Ideal Profile
 </p>
 <ul>
  <li>
   Early-career researcher (including strong new PhDs) who wants applied impact
  </li>
  <li>
   Industry researcher who wants more ownership and product exposure
  </li>
  <li>
   Someone motivated by AI integrity, trust, and responsible deployment
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Small team. High ownership. Deep technical problems. Real-world impact.
 </p>
</div>


Research Scientist

Stott and May

<div>
 <p>
  We&rsquo;re working with a digital client looking to bring on an experienced
  <strong>
   Data Scientist
  </strong>
  to support applied analytics and ML initiatives across an established cloud data platform.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You&rsquo;ll join an existing delivery team as a senior individual contributor, working hands on across modeling, experimentation, and production deployment, with visibility across multiple business domains.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This suits someone practical and commercially minded, comfortable taking models from idea through to production.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Six month initial contract with strong likelihood of rolling extensions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Competitive hourly rates depending on experience, 40 hrs/week.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Engagement via W2 or personal LLC only.
  <strong>
   No third parties.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Fully remote, aligned to EST.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you&rsquo;ll be doing
  </strong>
 </p>
 <p>
  &bull; Building predictive and statistical models for real business use cases
 </p>
 <p>
  &bull; Working with large structured and semi structured datasets
 </p>
 <p>
  &bull; Partnering with data engineering to productionize models
 </p>
 <p>
  &bull; Designing experiments and validating model performance
 </p>
 <p>
  &bull; Translating business problems into analytical solutions
 </p>
 <p>
  &bull; Supporting model monitoring and continuous improvement
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we&rsquo;re looking for
  </strong>
 </p>
 <p>
  &bull; Strong experience as a Data Scientist in production environments
 </p>
 <p>
  &bull; Solid Python and SQL
 </p>
 <p>
  &bull; Experience with ML frameworks (scikit-learn, XGBoost, PyTorch, etc.)
 </p>
 <p>
  &bull; Strong statistics and modeling fundamentals
 </p>
 <p>
  &bull; Comfortable working with messy, real-world data
 </p>
 <p>
  &bull; Experience in agile, delivery-focused teams
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to have
  </strong>
 </p>
 <p>
  &bull; Cloud experience (AWS / Azure / GCP)
 </p>
 <p>
  &bull; Feature engineering and model deployment exposure
 </p>
 <p>
  &bull; Experience supporting product or growth teams
 </p>
 <p>
  &bull; Basic MLOps familiarity
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why this role
  </strong>
 </p>
 <p>
  &bull; Applied data science, not research
 </p>
 <p>
  &bull; Real business impact
 </p>
 <p>
  &bull; Flexible engagement model, extensions likely
 </p>
 <p>
  &bull; Opportunity to work with experienced data teams
 </p>
</div>


Openkyber

<div><p>Hello Everyone, Greetings from OpenKyber! We are currently looking for a Data Scientist with at least 5+ years of recent experience in the Healthcare domain . This is a 100% remote role , so no relocation or travel is required . The client's key requirements are: Claims Processing experience Healthcare / Medicaid / Medicare domain experience Please share suitable profiles at hirings@openkyber.com Thanks, OpenKyber.
</p><p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

Insight Global

<div>
 <p>
  <strong>
   Senior Data Scientist
  </strong>
 </p>
 <p>
  We are seeking a
  <strong>
   Senior Data Scientist
  </strong>
  to drive strategic insights and enable data‑informed decision‑making through advanced analytics. In this role, you will partner closely with cross‑functional teams to tackle complex, ambiguous business challenges and translate data into clear, actionable recommendations.
 </p>
 <p>
  The ideal candidate brings deep expertise in analytics and strategy, strong business acumen, and hands‑on experience with SQL, Python or R, and data visualization tools. You will leverage statistical and machine learning techniques, craft compelling data narratives, and influence stakeholders across the organization.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Partner with cross‑functional teams to frame ambiguous business problems and develop end‑to‑end analytical solutions.
  </li>
  <li>
   Apply statistical and machine learning techniques to uncover insights and drive strategic recommendations.
  </li>
  <li>
   Conduct full‑stack analytics using SQL, Python or R, and visualization tools (e.g., Tableau).
  </li>
  <li>
   Present findings and data stories through clear, compelling narratives tailored to diverse audiences.
  </li>
  <li>
   Serve as a strategic thought partner, influencing decisions without formal authority.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    10+ years
   </strong>
   in an analytics and strategy‑focused role.
  </li>
  <li>
   Strong business acumen with the ability to think both strategically and operationally.
  </li>
  <li>
   Self‑starter mentality with high accountability and energy.
  </li>
  <li>
   Proven track record providing actionable insights to cross‑functional teams.
  </li>
  <li>
   Expertise with
   <strong>
    SQL, R or Python
   </strong>
   , and data visualization tools such as
   <strong>
    Tableau
   </strong>
   .
  </li>
  <li>
   Experience applying
   <strong>
    statistical and machine learning
   </strong>
   methods.
  </li>
  <li>
   Bachelor&rsquo;s degree in
   <strong>
    Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences
   </strong>
   .
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice‑to‑Have Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Ability to navigate ambiguous, complex problems and translate analysis into clear, actionable insights.
  </li>
  <li>
   Experience leading organization‑wide strategic initiatives or transformative analytics projects.
  </li>
  <li>
   Master&rsquo;s degree in a related field (Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences).
  </li>
  <li>
   Experience driving high‑impact analytics work in
   <strong>
    fintech or payments
   </strong>
   .
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Compensation: $55-$60/hour
 </p>
 <p>
 </p>
</div>


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