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data scientist-on-site opportunity

data scientist

Leidos

<div>Description
Join a team committed to a mission!
At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers&rsquo; success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.
Are you ready for your next career challenge?
Leidos National Security Sector (NSS) is seeking a highly experienced and skilled mission-driven Civil Affairs Planner to support APOLLO/OPIAS in Qatar. This role will support Operations in the Information Environment (OIE) initiatives under the J39 directorate by leveraging advanced data analysis techniques to extract actionable insights. The candidate will be responsible for analyzing complex data sets, developing predictive models, and providing data-driven recommendations to enhance Information
 campaigns. This position is on a future contract pending award announcement.
Possible locations for this position are as follows:<ul><li>MacDill (Tampa, FL)</li><li>Al Udeid (Qatar)</li><li>Fort Meade (Maryland)</li><li>Northcom (Colorado Springs, CO)</li><li>Camp Humphreys (Korea)</li><li>Arifjan (Kuwait)</li><li>Joint Base Pearl Harbor-Hickam (Hawaii)</li><li>Fort Eisenhower (Georgia)</li><li>Offutt AFB (Omaha, NE)</li><li>Naval Operating Base Norfolk (Virginia)</li><li>Southcom (Doral, FL)</li><li>JB San Antonio (Texas)</li><li>Stuttgart (Germany)</li><li>Vicenza (Italy)</li><li>Tyndall AFB (Florida)</li></ul>
Key Responsibilities:<ul><li>
Conduct analysis of structured and semi-structured data sets, which include opinion research, social media-based big data, and various secondary-source indices.</li><li>
Review the methods and means to provide data visualization and quantitative analysis to the team.</li><li>
Develop automated approaches leveraging artificial intelligence/machine learning (AI/ML) and natural language processing (NLP) to streamline the input of operational assessment data into the Command and Control of the Information Environment (C2IE) system.</li><li>
Support the analytics and assessment team in the construction and modification of research design.</li><li>
Acquire, process, and integrate impactful data from various commercial and customer sources, including HUMINT, SIGINT, OSINT, and GEOINT.</li><li>
Apply advanced analytical techniques, including machine learning, natural language processing, and deep learning, to identify trends and patterns.</li><li>
Develop predictive models to support influence operations and behavioral targeting.</li><li>
Collaborate with OIE planners, OIE analysts, and Data Engineers to ensure effective data utilization.</li><li>
Visualize data insights through dashboards and reports for decision-makers.</li><li>
Evaluate the effectiveness of OIE campaigns using data-driven methods.</li><li>
Stay current on emerging data science techniques and tools relevant to OIE.</li><li>
Provide recommendations to senior leadership on data-driven strategies for OIE.</li><li>
Define the means to create data visualizations and quantitative analysis to support mission needs.</li><li>
Review/analyze statistical data received from team members, other agencies, and CCMD organic assets.</li><li>
Review empirical/quantitative studies conducted by similar organizations and determine reliability, validity, and other strength factors for potential use in theater.</li><li>
Provide data visualization and explain quantitative analysis from the research team / vendors and quantitative analysis.</li><li>
Responsible for contributing to analytic and assessment projects evaluating the Information Environment (IE) for a variety of Combatant Commands (CCMDs), supported through Leidos Checkmate</li></ul> 
Basic Qualifications:<ul><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field</li><li>
8+ years of experience in data science, with a focus on predictive analytics, machine learning, and statistical modeling</li><li>
Experience with data visualization tools (Tableau, Power BI, Matplotlib)</li><li>
Experience with natural language processing (NLP) and text analytics</li><li>
Proficiency in Python, R, SQL, and machine learning frameworks (Scikit-learn, TensorFlow, PyTorch).</li><li>
Strong problem-solving and critical-thinking skills</li><li>
Familiarity with data security protocols for classified environments</li><li>
Active TS/SCI security clearance</li></ul> 
Preferred Qualifications:<ul><li>
Graduate degree (MS, PhD) in Data Science or related fields</li><li>
Experience supporting Joint Intelligence or U.S. Geographic Combatant Commands</li><li>
Experience with advanced analytic tools (Open.IO, Echosec, Babel Street, Scraawl)</li><li>
Experience with geospatial analytic tools (ArcGIS, QGIS)</li><li>
Experience with data manipulation and analysis tools (SPSS, STATA, IBM Watson)</li><li>
Proficiency with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)</li><li>
Demonstrated experience with Command and Control of the Information Environment (C2IE)</li><li>
Demonstrated experience briefing senior military leadership (O-5 and above)</li><li>
Expertise in OSINT, including social media monitoring and analysis.</li><li>
Ability to conduct complex data queries and scripting for automation.</li></ul>
Come break things (in a good way). Then build them smarter.
We're the tech company everyone calls when things get weird. We don&rsquo;t wear capes (they&rsquo;re a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for &ldquo;how it&rsquo;s always been done.&rdquo;<h2 class="jobSectionHeader">
Original Posting:</h2>
July 30, 2025
For U.S. Positions: 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.<h2 class="jobSectionHeader">
Pay Range:</h2>
Pay Range $104,650.00 - $189,175.00
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.</div> <div id='job-id'>Job Id: vtri9iMJizelGyu7x0PSxv5Y3HxETiUTmZQr8EPw1Z6qmiMm9EDqlp/JN0riY4rmmPDpcCt0kL1NOE2c9hFm2RlQS6TLYEK0TvOfdPo2YKwsZLCIusD/S61/EuPA6JwXR3gHsFlZN5ckHVNqzojEyZDa05sBp+IBMOX2lbIq8ArTys9kqySFrlL8NcKi8qHEx+o9lQ==</div>

Data Scientist

Victrix Inc.

<div>
 We are currently supporting a client on a long-term consulting engagement and are looking to onboard an experienced
 
 Data Scientist
 
 for an
 
 on-site project in Kuwait
 
 .
 
 
 
 Key Responsibilities &amp; Required Skills
 
 
 
 The ideal candidate will bring strong analytical skills, a problem-solving mindset, and hands-on experience across the following areas:Skills: data analysis,numpy,pandas,sql,mvp,git,churn prediction modeling,mvp model development,jupyter notebooks,scikit-learn,data scientist,data transformation,customer segmentation,clustering,rapid solution deployment,python,version control,data extraction,exploratory data analysis,etl
 
 
 <ul>
 <li>
 Data Extraction, Transformation, and Analysis
 </li>
 <li>
 Collect and clean large datasets from various structured and unstructured data sources.
 </li>
 <li>
 Design and implement ETL pipelines to prepare data for modeling and analysis.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to derive actionable insights.
 </li>
 <li>
 Proficiency in SQL and Python
 </li>
 <li>
 Write efficient SQL queries for data manipulation, aggregation, and reporting.
 </li>
 <li>
 Use Python (Pandas, NumPy, Scikit-learn, etc.) for data wrangling, statistical analysis, and model development.
 </li>
 <li>
 Familiarity with version control tools (e.g., Git) and Jupyter notebooks.
 </li>
 <li>
 MVP Model Development
 </li>
 <li>
 Build and deploy Minimum Viable Product (MVP) models to validate hypotheses and demonstrate business value quickly.
 </li>
 <li>
 Design lightweight, scalable models that can be iterated on based on feedback and performance.
 </li>
 <li>
 Customer Segmentation &amp; Clustering
 </li>
 <li>
 Apply unsupervised learning techniques such as K-Means, DBSCAN, or hierarchical clustering.
 </li>
 <li>
 Use segmentation to support personalization, targeting strategies, and customer lifecycle management.
 </li>
 <li>
 Translate clustering results into actionable business strategies.
 </li>
 <li>
 Churn Prediction Modeling
 </li>
 <li>
 Develop and validate supervised models to identify at-risk customers.
 </li>
 <li>
 Implement models that integrate business logic and real-time decision-making.
 </li>
 <li>
 Provide insights to improve customer retention strategies.
 </li>
 <li>
 Rapid Solution Deployment
 </li>
 <li>
 Deliver off-the-shelf, ready-to-use solutions under tight timelines.
 </li>
 <li>
 Balance model accuracy with business feasibility and implementation speed.
 </li>
 <li>
 Collaborate with stakeholders to prioritize use cases and align deliverables with business objectives.
 </li>
 </ul>
</div>
 <div id='job-id'>Job Id: pWHE/O9Tg08D759To9jrkiMdr6hfxkLmIifGxyNMzJ62sEi0wGiYi/yfk5Ou7+gHUFIIR7fek8UT0qdTxi0Be1BTsnX685hh9A==</div>

Data Scientist-On-Site Opportunity

SWATX

<div>
 SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and implement the overall data science vision, strategy, and framework to align with organizational goals
 </li>
 <li>
 Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning
 </li>
 <li>
 Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights
 </li>
 <li>
 Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency
 </li>
 <li>
 Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges
 </li>
 <li>
 Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies
 </li>
 <li>
 Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth
 </li>
 <li>
 Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field
 </li>
 <li>
 A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams
 </li>
 <li>
 Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark)
 </li>
 <li>
 Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies
 </li>
 <li>
 Proven track record of successfully leading and delivering large-scale data science projects that drive business value
 </li>
 <li>
 Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses
 </li>
 <li>
 Strong project management skills and ability to lead teams in a fast-paced environment
 </li>
 <li>
 Excellent analytical and strategic thinking skills, with a focus on results
 </li>
 <li>
 Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic
 
 
 </li>
 </ul>
 Preferable Certificates:
 
 
 <ul>
 <li>
 Certified Data Scientist (CDS)
 </li>
 <li>
 Microsoft Certified: Azure Data Scientist Associate
 </li>
 <li>
 Google Cloud Professional Data Engineer
 </li>
 </ul>
</div>
 <div id='job-id'>Job Id: mBYktnCi85jZZNCVYVsxMpb0nS2iMTba1FSbNTY7LGcmji7B2xSpkdvvhaRXn4V51KEjrCLFeMGoBb3L3jsDKU3wSdDQEhZp5Q==</div>

Senior Data Science Manager

Alphaez Computer Company For IT Consulting

<div>
 <ul>
 <li>
 Jobs
 </li>
 <li>
 Data Analyst
 
 
 </li>
 </ul>
 Apply Now!
 
 
 Data Analyst
 
 
 Salmiya, Kuwait
 
 
 As an employee of our company, you will
 
 collaborate with each department to create and deploy disruptive products.
 
 Come work at a growing company that offers great benefits with opportunities to moving forward and learn alongside accomplished leaders. We're seeking an experienced and outstanding member of staff.
 
 
 This position is both
 
 creative and rigorous
 
 by nature you need to think outside the box. We expect the candidate to be proactive and have a "get it done" spirit. To be successful, you will have solid solving problem skills.
 
 
 Customer Relationship
 
 
 Personal Evolution
 
 
 Autonomy
 
 
 Administrative Work
 
 
 Technical Expertise
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the entire sales cycle
 </li>
 <li>
 Achieve monthly sales objectives
 </li>
 <li>
 Qualify the customer needs
 </li>
 <li>
 Negotiate and contract
 </li>
 <li>
 Master demos of our software
 
 
 </li>
 </ul>
 Must Have
 
 
 <ul>
 <li>
 Bachelor Degree or Higher
 </li>
 <li>
 Passion for software products
 </li>
 <li>
 Perfect written English
 </li>
 <li>
 Highly creative and autonomous
 </li>
 <li>
 Valid work permit for Belgium
 
 
 </li>
 </ul>
 Nice to have
 
 
 <ul>
 <li>
 Experience in writing online content
 </li>
 <li>
 Additional languages
 </li>
 <li>
 Google Adwords experience
 </li>
 <li>
 Strong analytical skills
 
 
 </li>
 </ul>
 What's great in the job?
 
 
 <ul>
 <li>
 Great team of smart people, in a friendly and open culture
 </li>
 <li>
 No dumb managers, no stupid tools to use, no rigid working hours
 </li>
 <li>
 No waste of time in enterprise processes, real responsibilities and autonomy
 </li>
 <li>
 Expand your knowledge of various business industries
 </li>
 <li>
 Create content that will help our users on a daily basis
 </li>
 <li>
 Real responsibilities and challenges in a fast evolving company
 
 
 </li>
 </ul>
 Our Product
 
 
 Discover our products.
 
 
 
 READ
 
 
 
 What We Offer
 
 
 Each employee has a chance to see the impact of his work. You can make a real contribution to the success of the company.
 
 
 Several activities are often organized all over the year, such as weekly sports sessions, team building events, monthly drink, and much more
 
 
 Perks
 
 
 A full-time position
 
 
 Attractive salary package.
 
 
 Trainings
 
 
 12 days / year, including
 
 
 6 of your choice.
 
 
 Sport Activity
 
 
 Play any sport with colleagues,
 
 
 the bill is covered.
 
 
 Eat &amp; Drink
 
 
 Fruit, coffee and
 
 
 snacks provided.
 
 
 Apply Now!
</div>
 <div id='job-id'>Job Id: hoS50ZQgdRENVbYb/88MYCekdo9xoxDMlyuJiLdV/XjuDst93eo0lujkMJFRLlGX+FTstPoqOd2KKznafU496AMGNJT3+HhxurjQodzS</div>

Data Analyst

<div>
 
 Description
 
 
 
 Job Description
 
 
 
 Leidos National Security Sector (NSS) is seeking a highly experienced and skilled mission-driven Data Engineer to support APOLLO/OPIAS in Tampa, FL.
 
 This role provides mission-critical support to Joint and Special Operations Forces (SOF) by designing, building, and maintaining scalable data infrastructure and pipelines that enable the planning, execution, and assessment of influence operations within the Irregular Warfare (IW) and Operations in the Information Environment (OIE). With expertise in cloud platforms, ETL frameworks, and both structured and semi-structured data, the data engineer ensures seamless ingestion, transformation, and normalization of diverse data sources&mdash;including social media, OSINT, SIGINT, cyber, and psychological operations platforms. The position will be responsible for providing OIE planners, analysts, and commanders with timely, mission-relevant data access for real-time alerting, influence mapping, and trend analysis.
 
 This position is on a future contract pending award announcement.
 
 
 
 
 Possible locations for this position are as follows:
 
 
 
 <ul>
 <li>
 MacDill (Tampa, FL)
 </li>
 <li>
 Al Udeid (Qatar)
 </li>
 <li>
 Fort Meade (Maryland)
 </li>
 <li>
 Northcom (Colorado Springs, CO)
 </li>
 <li>
 Camp Humphreys (Korea)
 </li>
 <li>
 Arifjan (Kuwait)
 </li>
 <li>
 Joint Base Pearl Harbor-Hickam (Hawaii)
 </li>
 <li>
 Fort Eisenhower (Georgia)
 </li>
 <li>
 Offutt AFB (Omaha, NE)
 </li>
 <li>
 Naval Operating Base Norfolk (Virginia)
 </li>
 <li>
 Southcom (Doral, FL)
 </li>
 <li>
 JB San Antonio (Texas)
 </li>
 <li>
 Stuttgart (Germany)
 </li>
 <li>
 Vicenza (Italy)
 </li>
 <li>
 Tyndall AFB (Florida)
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Conduct analysis of structured and semi-structured data sets to identify the effective integration for mission use.
 </li>
 <li>
 Design, build, and maintain the data infrastructure and pipelines that support the planning, execution, and assessment of influence operations.
 </li>
 <li>
 Review existing and emerging technical capabilities and offer recommendations on its potential value to enables OIE planners, analysts, and commanders to access, analyze, and operationalize large-scale datasets&mdash;often derived from social media, open-source intelligence (OSINT), cyber, SIGINT, or psychological operations platforms.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related technical field
 </li>
 <li>
 8+ years of experience in data engineering or ETL pipeline development
 </li>
 <li>
 Experience with data ingestion, transformation, and normalization from diverse structured and unstructured sources
 </li>
 <li>
 Experience deploying in cloud environments (AWS, Azure, or GCP)
 </li>
 <li>
 Proficient in Python and at least one ETL framework (e.g., Airflow, NiFi, Luigi)
 </li>
 <li>
 Strong knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL)
 </li>
 <li>
 Familiarity with version control tools (e.g., Git) and collaborative DevOps practices
 </li>
 <li>
 Ability to work in cross-functional teams alongside analysts, developers, and IO planners
 </li>
 <li>
 Strong documentation, communication, and troubleshooting skills
 </li>
 <li>
 Active TS/SCI security clearance
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in a technical discipline
 </li>
 <li>
 Experience supporting Information Operations, PSYOP/MISO, or WebOps
 </li>
 <li>
 Experience with data lake architecture, graph databases (e.g., Neo4j), or NoSQL stores (e.g., MongoDB)
 </li>
 <li>
 Experience building pipelines that support real-time alerting, trend analysis, and influence mapping
 </li>
 <li>
 Proficiency with data visualization frameworks (e.g., Kibana, Grafana, Plotly, or D3.js)
 </li>
 <li>
 Familiarity with OSINT data platforms (e.g., Babel Street, Echosec, Talkwalker, Pulsar, Meltwater, Maltego)
 </li>
 <li>
 Familiarity with containerized environments (Docker, Kubernetes)
 </li>
 <li>
 Understanding of foreign language datasets or multilingual processing (NLP/NLU in Arabic, Russian, Chinese, etc.)
 </li>
 <li>
 Background in API integration with social media platforms or dark web forums
 
 
 </li>
 </ul>
 EIO2024
 
 
 
 Original Posting
 
 
 
 July 25, 2025
 
 
 For U.S. Positions: 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.
 
 
 
 Pay Range
 
 
 
 Pay Range $104,650.00 - $189,175.00
 
 
 The Leidos pay range for this job level is a general guideline onlyand 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.
</div>
 <div id='job-id'>Job Id: nTyP5Kh1n//oygEqyElmxJraO4vVeMZLf2S6/+x9MFmp3nU3GbcjXdth1qYDmuKQsLRlVIQV/EQ/eTvXYXjuHi1SsBXjUBnJqpcFr4BWod1jWKPXoLjLpHMDZc1RXhFZ6MmhxyZ5rE0LpZSUdLByC0e8UL+9KIP+wk6M6/UBthVW5LSOsTkD39y27tjcsKSDUsCxrj35nRDgTQ==</div>

Data Engineer

<div>Description 
 
 
Job Description 
Leidos National Security Sector (NSS) is seeking a highly experienced and skilled mission-driven Data Engineer to support APOLLO/OPIAS in Tampa, FL. This role provides mission-critical support to Joint and Special Operations Forces (SOF) by designing, building, and maintaining scalable data infrastructure and pipelines that enable the planning, execution, and assessment of influence operations within the Irregular Warfare (IW) and Operations in the Information Environment (OIE). With expertise in cloud platforms, ETL frameworks, and both structured and semi-structured data, the data engineer ensures seamless ingestion, transformation, and normalization of diverse data sources&mdash;including social media, OSINT, SIGINT, cyber, and psychological operations platforms. The position will be responsible for providing OIE planners, analysts, and commanders with timely, mission-relevant data access for real-time alerting, influence mapping, and trend analysis. This position is on a future contract pending award announcement.
Possible locations for this position are as follows:<ul><li>
MacDill (Tampa, FL)</li><li>
Al Udeid (Qatar)</li><li>
Fort Meade (Maryland)</li><li>
Northcom (Colorado Springs, CO)</li><li>
Camp Humphreys (Korea)</li><li>
Arifjan (Kuwait)</li><li>
Joint Base Pearl Harbor-Hickam (Hawaii)</li><li>
Fort Eisenhower (Georgia)</li><li>
Offutt AFB (Omaha, NE)</li><li>
Naval Operating Base Norfolk (Virginia)</li><li>
Southcom (Doral, FL)</li><li>
JB San Antonio (Texas)</li><li>
Stuttgart (Germany)</li><li>
Vicenza (Italy)</li><li>
Tyndall AFB (Florida)</li></ul>
Key Responsibilities:<ul><li>
Conduct analysis of structured and semi-structured data sets to identify the effective integration for mission use.</li><li>
Design, build, and maintain the data infrastructure and pipelines that support the planning, execution, and assessment of influence operations.</li><li>
Review existing and emerging technical capabilities and offer recommendations on its potential value to enables OIE planners, analysts, and commanders to access, analyze, and operationalize large-scale datasets&mdash;often derived from social media, open-source intelligence (OSINT), cyber, SIGINT, or psychological operations platforms.</li></ul> 
Basic Qualifications:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related technical field</li><li>
8+ years of experience in data engineering or ETL pipeline development</li><li>
Experience with data ingestion, transformation, and normalization from diverse structured and unstructured sources</li><li>
Experience deploying in cloud environments (AWS, Azure, or GCP)</li><li>
Proficient in Python and at least one ETL framework (e.g., Airflow, NiFi, Luigi)</li><li>
Strong knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL)</li><li>
Familiarity with version control tools (e.g., Git) and collaborative DevOps practices</li><li>
Ability to work in cross-functional teams alongside analysts, developers, and IO planners</li><li>
Strong documentation, communication, and troubleshooting skills</li><li>
Active TS/SCI security clearance</li></ul> 
Preferred Qualifications:<ul><li>
Master&rsquo;s degree in a technical discipline</li><li>
Experience supporting Information Operations, PSYOP/MISO, or WebOps</li><li>
Experience with data lake architecture, graph databases (e.g., Neo4j), or NoSQL stores (e.g., MongoDB)</li><li>
Experience building pipelines that support real-time alerting, trend analysis, and influence mapping</li><li>
Proficiency with data visualization frameworks (e.g., Kibana, Grafana, Plotly, or D3.js)</li><li>
Familiarity with OSINT data platforms (e.g., Babel Street, Echosec, Talkwalker, Pulsar, Meltwater, Maltego)</li><li>
Familiarity with containerized environments (Docker, Kubernetes)</li><li>
Understanding of foreign language datasets or multilingual processing (NLP/NLU in Arabic, Russian, Chinese, etc.)</li><li>
Background in API integration with social media platforms or dark web forums</li></ul>
EIO2024<h2 class="jobSectionHeader">
Original Posting:</h2>
July 25, 2025
For U.S. Positions: 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.<h2 class="jobSectionHeader">
Pay Range:</h2>
Pay Range $104,650.00 - $189,175.00
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.</div> <div id='job-id'>Job Id: 9SAhSMJ6+tPH3R9JgkrKwGJYhpMEW3RF8rCkhqY0Top2Mx5QItysWtVl3E+vFTn60gS3GjrCpfo+7xa9MytzQwJWCAOy/y8HvkMVvMKk4DbZd/pzSFk1jTV+SmU9PTztY8WgWIYfe3tRORPqKR5sZTVqcjsIwhZHICotHCa4UJuOSGRhz6tkEzvnd1GaUzaljalw</div>

Dasman Diabetes Institute

<div>Objective
The Senior Research Assistant will directly report to the Head of the Department and work effectively with the other team members to achieve common objectives. Conducts research experimental tasks in the fields of cellular, molecular biology and animal studies. To contribute to multiple research projects linked to cellular metabolism, diabetes and associated complications. 
<h3 class="jobSectionHeader">Responsibilities</h3>

Roles &amp; Responsibilities
&middot; Conducts Western blotting, conventional and real-time PCR, and flow cytometry.

&middot; Performs cell culture experiments.

&middot; Performs experimental animal work related to the projects as needed.

&middot; Experience with basic and advanced microscopy and imaging.

&middot; Executes experimental work in collaboration with other team members.

&middot; Performs data analysis and communicates and presents scientific findings at lab meetings.

&middot; Maintains detailed experimental records and laboratory notebook.

&middot; Troubleshoots and optimizes assays and maintains careful records.

&middot; Performs general housekeeping tasks in the laboratory.

&middot; Maintains inventory of reagents and chemicals.

&middot; Performs other duties as assigned by scientist/unit head and Liaison with institute policies.

&middot; Completes assigned tasks/targets within given deadlines.

&middot; Performs other related duties as assigned by the Head of Unit. 
<h3 class="jobSectionHeader">Required Skills and Expertise:</h3>

Requirements
<ul><li>Experience in molecular biology, functional genomics and gene expression analysis using different approaches.</li>
</ul><ul><li>Western Blots and Tissue culture experience.</li>
<li>Education: MSc degree in biology, immunology or life sciences.
</li><li>Minimum of, 2&ndash;4-year track record of lab experience. Familiarity with general cellular biology and immunology techniques, including PCR, ELISA, cell culture, transfection, media making, etc. Should be well organized, self-motivated and possess excellent time management skills. Flexibility required to work after regular working hours or weekends, if needed.</li></ul></div> <div id='job-id'>Job Id: eTCRmFBZJTo7MZPckrKRpAw7T93ds+uHG1anw0HJPS28gtizEwuQPfw94pad+IXlyCz1kKR0mfkiwkBjeroah+4ugD+FSEovt5A6lE+bA59cnkLdhw==</div>

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