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Requirements:
* Bachelors degree in Industrial Engineering, Information Systems, Business Administration, or a related field.
* 5+ years of proven experience as a PMO or in a project management support role.
* Hands-on experience with project planning, monitoring, and reporting.
* Proficiency in project management tools and BI reporting platforms.
* Experience in technology/hi-tech companies - advantage.
* Professional certifications such as PMP, or Agile/Scrum Master - a strong advantage.
* Strong analytical and problem-solving skills.
* Excellent communication and presentation skills, including the ability to work with senior leadership.
* Ability to work in a matrix environment with multiple stakeholders.
* High attention to detail, organizational skills, and ability to prioritize effectively.
* Advanced proficiency in MS Excel and Office Suite.
* Fluent English (written and spoken) - required.

Requirements:
* Bachelors degree in Industrial Engineering, Information Systems, Business Administration, or a related field.
* 3-5 years of proven experience as a PMO or in a project management support role.
* Hands-on experience with project planning, monitoring, and reporting.
* Proficiency in project management tools and BI reporting platforms.
* Experience in technology/hi-tech companies - advantage.
* Professional certifications such as PMP, or Agile/Scrum Master - a strong advantage.
* Strong analytical and problem-solving skills.
* Excellent communication and presentation skills, including the ability to work with senior leadership.
* Ability to work in a matrix environment with multiple stakeholders.
* High attention to detail, organizational skills, and ability to prioritize effectively.
* Advanced proficiency in MS Excel and Office Suite.
* Fluent English (written and spoken) - required.

Requirements:
Required Qualifications

Must have at least 3 additional semesters before graduation - graduation date Summer 27 or later.

Proven hands-on experience in security research, threat hunting, or detection engineering roles (e.g., from specialized military service, previous internships, or a significant portfolio of independent research/investigation).

Proficiency in Python, C#, or similar languages, with a focus on writing clean, functional, and scalable code.



Preferred Qualifications

Currently pursuing a Bachelor's or Masters Degree in Statistics, Mathematics, Computer Science or related field.

Deep understanding of the modern threat landscape, including hands-on familiarity with lateral movement techniques, credential theft, or cloud-native attack vectors.

Previous experience reasoning over large-scale datasets using big-data query languages (KQL/Kusto, SQL, or similar) to identify novel malicious patterns and drive evidence-based research decisions.

A proven "Hunter" mindset with a track record of identifying novel malicious patterns and converting them into actionable alerts.

Requirements:
Qualifications

You have at least 4+ years of hands-on experience in security research or threat hunting, with a specialized focus on identity, cloud, or AI-based threat scenarios.

Deep understanding of the threat landscape, including modern attacker techniques, AI-driven threats, and complex kill-chains, with a focus on platform internals across OS, Cloud Workloads and Identity platforms.

Proven ability to reason over large-scale datasets using big-data query languages, applying security expertise to identify novel patterns and make evidence-based decisions.

Familiarity with cloud environments (e.g., Azure, AWS) and the specific security challenges inherent to hybrid and multi-cloud infrastructures in large enterprise customers.

Experience hunting across diverse signal sources, effectively uncovering threats within on-premises, hybrid, and cloud environments.


Preferred Qualifications

B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related field, or equivalent practical experience (e.g., relevant industry or military experience).

Programming proficiency (e.g., Python, C#, or similar), with a proven ability to develop and ship production-ready protection logic.
Public track record of security research, such as technical blog posts, whitepapers, or presentations at major industry conferences.

Experience in offensive security or adversary simulation.

Demonstrated ability to work effectively in cross-functional teams, bridging the gap between deep research and scalable engineering.

Requirements:
Required Qualifications
Must have at least 3 additional semesters before graduation - graduation date Summer 27 or later.
Available to work 3 days a week.
Proven hands-on experience in security research, threat hunting, or detection engineering roles (e.g., from specialized military service, previous internships, or a significant portfolio of independent research/investigation).
Proficiency in Python~~, C#,~~ or similar languages, with a focus on writing clean, functional, and scalable code.
Hands-on experience with AI technologies, whether through building ML models, working with LLMs and prompt engineering, experimenting with agentic frameworks, or applying AI to academic or personal projects - and a genuine passion for using AI to solve real-world problems.

Preferred Qualifications
Currently pursuing a Bachelor's or Masters Degree in Statistics, Mathematics, Computer Science, Data Science, AI/Machine Learning, or related field.
Deep understanding of the modern threat landscape, including hands-on familiarity with lateral movement techniques, credential theft, or cloud-native attack vectors.
Previous experience reasoning over large-scale datasets using big-data query languages (KQL/Kusto, SQL, or similar) to identify novel malicious patterns and drive evidence-based research decisions.
A proven "Hunter" mindset with a track record of identifying novel malicious patterns and converting them into actionable alerts.
Experience with LLMs, prompt engineering, or agentic AI frameworks (e.g., LangChain, Semantic Kernel, AutoGen) - academic projects or personal exploration count.
Interest in the intersection of AI and adversarial behavior - building autonomous, high-stakes decision systems for detection, analysis, and disruption.

Requirements:
Qualifications
10+ years of experience as a Product Manager.
Proven track-record delivering software products/services to market.

Preferred:
Knowledge in architecture and design of scalable and high-performance cloud services.
Devops /cloud operations experience.
Team player, confident, independent, and enthusiastic!
Experienced working with customers. Great listener - deep customer empathy and ability to identify customer needs.
Excellent communication, writing, and presentation skills in English.
Exceptional analytical, problem-solving and decision-making skills.
BA/BS degree in Computer Science or related technical equivalent, MBA.

Requirements:
Educational Requirements:
Bachelors degree in a life science discipline, business analytics, computing science, engineering, or related field.


Required Experience:
5 years of relevant experience in data/analytics, process improvement, or technology-enabled transformation within life sciences/healthcare or a comparable regulated environment which includes:
Successfully designing and delivering automation/analytics/AI-enabled solutions (e.g., dashboards, RPA/workflow automation, AI/ML pilots) that produced measurable improvements.
Experience coordinating cross-functional stakeholders, with hands-on project management in a matrix environment.


Preferred Experience:
Experience working across multiple countries or in regional programs.
Exposure to integrations with IT/data science teams and vendor coordination.
Familiarity with clinical trial processes and operational metrics.
Compliance/regulatory: understanding of ICH GCP and applicable quality and data protection requirements.


Required Knowledge, Skills and Abilities:
Business process modeling and requirements techniques: e.g., process mapping, user stories, acceptance criteria, functional specifications
End-to-end product and solution ownership mindset: with accountability for value delivery across the full solution lifecycle (ideation, MVP, rollout, scaling, maintenance, and retirement).
Data literacy and analytics: ability to translate business questions into metrics; hands-on with BI tools (e.g., Power BI/Tableau) and data querying basics (SQL or equivalent).
Automation/AI awareness: practical experience with workflow automation/RPA platforms; exposure to AI/ML use cases and constraints in clinical operations.
Program/project management: planning, prioritization, risk/issue management, and delivery at pace; comfortable with Agile/Lean practices.
Communication & influence: excellent English communication; ability to influence across functions and present technical topics to non-technical audiences.
Change enablement: stakeholder engagement, training, and adoption support.
Problem-solving & critical thinking: structured analysis, hypothesis-driven approach, and pragmatic delivery mindset.

Requirements:
CORE Competency Expectations:
Fluent in Local Languages and business proficient in English (verbal and written) and excellent communication skills.

Behavioral Competency Expectations:
Effective time management, organizational and interpersonal skills, conflict management.

Educational Requirements:
B.A./B.S. (Life Science preferred) or equivalent healthcare experience.
GCP course/ CRA course.

Required Skills:
Biological Sciences, Clinical Research, Clinical Trials, Data Analysis, Database Management, Data Science, Detail-Oriented, Document Management, Key Performance Indicators (KPI), Life Science, Project Management, Software Proficiency

Requirements:
* 3+ years of experience in an HRIS role with strong hands-on system support
* Expertise in SAP HR modules (PA, OM, ESS)/ SAP SuccessFactors and their integration with other systems
* Strong problem-solving skills and a practical, service-oriented approach
* Excellent communication skills and ability to work with global stakeholders
* Experience in training users and creating clear documentation
* High level of English The position is open to all genders