Location: Remote - Candidates must be located in either Ireland or Germany to be considered for this position. 

About the Role

We’re seeking an experienced Sr. Technical Instructor with a passion for teaching and working with data to join our training team to setup Enterprise customers and partners for success with dbt to empower data developers to create and disseminate organisational knowledge.

What You'll Do

• Deliver live, world-class instruction to train and onboard dbt Cloud customers, partners, and GSIs in small (~10), large groups (up to ~30) and webinar audiences (50 - 200)
• Create an engaging learning environment initially in a remote context (on Zoom!) and likely in person in the future
• Get learners excited about using dbt Cloud to make an impact at their organization
• Clearly teach and demo new concepts and skills for learners
• Facilitate live co-development sessions where learners apply what they have learned
• Adjust instruction on the fly while focusing on learner outcomes
• Provide critical feedback from your classroom experience to improve curriculum changes
• Become a product expert with dbt in the context of the modern data stack (if you aren’t already)
• Jump in on other education projects including curriculum development and improving our workflows

What You'll Need

• You have 4+ years experience teaching with some data analytics experience OR 4+ years of data analytics experience with some teaching
• You have experience writing SQL in an analytics context
• You love teaching and creating those lightbulb moments for learners
• You create learning environments with high levels of engagement
• You are laser focused on learner and customer outcomes while adjusting instruction on the fly - our customers are coming to use our product from varied tooling and skillsets
• You believe teaching is a craft that we can always get better at and actively seek out feedback
• You communicate clearly and concisely with internal and external stakeholders
• You thrive in an environment of cross-collaboration that moves quickly

What Will Make You Stand Out

• You have worked on customer education / training teams and know how training can drive outcomes for customers.
• You have experience using dbt and/or teaching dbt.
• You have experience writing analytics code (i.e. python, R, etc.) in addition to SQL and working with databases
• You have experience designing curricula with a focus on backwards design.

Compensation

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. 

• The typical starting salary range for this role in Ireland is: €79,000 - €96,000 
• The typical starting salary range for this role in Germany is: €92,000 - €111,000
  

Benefits

• Unlimited vacation, with a culture that encourages time off and guarantees at least 4 weeks’ paid leave in line with Irish law
• Healthcare: Coverage provided through Irish Life Health and DeCare, including medical, dental, and vision for you and your eligible dependents
• Life & Disability Protection: Long-term disability and death-in-service benefits included
• Pension: Employer contributions through our Personal Retirement Savings Program (PRSA)
• Generous paid parental leave for all parents, with additional time for birthing parents
• TaxSaver & Bike to Work Schemes for commuting flexibility and savings
• Paid medical, caregiver, and pregnancy loss leave to support life’s unexpected moments
• Flexible stipends for:
  • Health & wellness
  • Cellphone & internet
  • Home office setup
  • Learning & development

What to expect in the hiring process (all video interviews unless accommodations are needed):

• Interview with a Talent Acquisition Partner
• Interview with Hiring Manager (Technical Instructor Manager)
• After that we’ll ask you to live teach a 15 minute lesson to see your teaching in action
• Team interviews with current instructors and our Head of Training
  
  #LI-LC1

About the position

You are expected to conduct and lead internationally competitive research in AI-driven semantic analysis and automated reasoning-flow modeling, with applications to educational materials, scientific documents, and research authoring. Your work will focus on developing advanced methods for semantic structure extraction, conceptual and argumentative flow reconstruction, rationale-aware content generation, metacognitive prompting, and adaptive personalization. Core research contributions will include designing algorithms for concept and structure extraction, building neural/graph hybrid models for pedagogical reasoning, implementing ontology-alignment methods for cross-domain transfer, and creating human-in-the-loop optimization pipelines that incorporate expert feedback—aligning with the multi-year research roadmap (WP1–WP3) .

As a postdoctoral researcher, you will take a leading role in designing experiments, shaping research directions, supervising junior researchers (including PhD students), and contributing to the development of end-to-end demonstrator systems capable of generating structured, rationale-rich, and learner-adaptive content. You will be responsible for coordinating data annotation efforts, overseeing the construction of evaluation frameworks, and driving publication-quality research outputs, including survey papers, methodology papers, and cross-domain transfer studies. Interdisciplinary collaboration is strongly encouraged, especially at the intersection of computer science, computational linguistics, cognitive science, and learning technologies, and you will have opportunities to initiate or co-lead joint projects with internal and external partners.

The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course development and supervising Bachelor’s, Master’s, and PhD theses. The university provides a supportive academic environment—including mentoring, administrative support, computational resources, and opportunities for technology transfer and industry engagement—enabling the postdoctoral researcher to establish or strengthen an internationally visible research profile.

Mandatory requirements

• PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field.
• Strong publication record in relevant top-tier venues (e.g., NeurIPS, ACL, ICML, ICLR, AIED, LAK, AAAI).
• Demonstrated expertise in at least two of the following areas:
  • semantic parsing or structured NLP
  • knowledge representation, reasoning graphs, or GNNs
  • natural language generation, explainability, or rationale modeling
  • ontology alignment, cross-domain transfer, or representation learning
  • personalization algorithms, metacognition, or educational AI
  • human-in-the-loop systems or RLHF
• Experience in leading research tasks, mentoring junior researchers, and coordinating multi-stage projects.
• Fluency in Python and modern deep learning frameworks (PyTorch/TensorFlow).
• Strong analytical, communication, and academic writing skills.
• Demonstrable ability to design rigorous experimental pipelines and validation methodologies.
• Responsible, independent, and proactive research personality with strong teamwork skills.
• Intercultural experience and readiness to work in an international research environment.
• Fluency with AI co-pilot assistants for coding and writing.
• Fluency in English, the primary language of research and instruction on campus.

Preferred qualifications:

• Experience in developing research prototypes, evaluation benchmarks, or large-scale datasets.
• Prior involvement in interdisciplinary or applied research projects.
• Potential to contribute to competitive funding applications.
• Experience with open-source releases or reproducible research pipelines.

Application Details

• Starting date: March, 2026
• Contract: Full-time (100%), TV-L E13
• Work mode: Hybrid

Application package must include: 

• Curriculum Vitae (CV);
• A detailed letter of motivation outlining research interests and career goals;
• 2 recommendation letters;

Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Academic Strategy Associate - Join Our Innovative Team at think-cell Software 

Our Story

At think-cell, we create powerful software solutions that help professionals be more efficient and productive. Founded in 2002 and based in Berlin, our tools integrate seamlessly with Microsoft Office to help users create presentations, charts, and diagrams with ease. Our dynamic, international team values creativity, collaboration, and technical excellence. 

What You Will Do  

You will be end-to-end contributing to a strategic priority of think-cell – the growth of the academic program. In the role as you will be responsible for a broad range of tasks, and there will be (almost) no typical day during your time at think-cell.  

In our academic program we bring think-cell and state-of-the-art storytelling to the next generation of leading professionals. This means we provide students and professors with free access to our tool, so that they can already benefit from think-cell during their time at school (find out more here). We have big plans to grow the program significantly with the next years – and you can be an integral part of it. 

Key Responsibilities: 

• Organize case Competitions: Conceptualize, market, and execute multiple international case competitions planned for 2026. You will own these initiatives end to end, including project planning, marketing, stakeholder coordination, and partnership management, with high visibility across internal and external stakeholders. 

• Co-develop teaching material: Collaborate on the continuous improvement of our curriculum materials for faculty. This includes creating new content and co-developing materials together with contributors from leading academic institutions, ensuring academic rigor and practical relevance 

• Drive growth: Co-own the growth of our academic programs. Working from a central role within the team, you will identify, test, and scale growth initiatives end to end—from strategic partnerships and outbound campaigns to performance marketing and new acquisition channels. You will have the autonomy to experiment quickly and iterate based on results. 

• Enhance academics strategy: Support the development and operationalization of the academic strategy. This involves analyzing data, conducting research, and translating insights into actionable recommendations  

• Get your hands dirty: As part of a small, agile “speedboat” team within think-cell, you will adapt quickly to shifting priorities and contribute wherever needed. You will work closely with the academic team and collaborate cross-functionally with other departments to ensure program success 

You will be great for this position if you have  

• Experience: 2+ years of work experience, preferably in a high-performance environment (e.g. management consulting, investment banking, PE, or VC-owned portfolio companies) 

• Degree: Undergraduate degree, preferably in business, computer science, or other related fields; graduate degree is a plus 

• Profile: Self-starter with a data driven mindset 

• Skills: Strong analytical and problem-solving skills, with a keen eye for detail. Excellent organizational, time-management skills, with the ability to prioritize tasks 

• MS Suite: Proficient in Office Suite, especially Excel and PowerPoint 

• Location: Willingness to work on-site in our Berlin office 4 days per week, with 1 remote day

• Language & Communication: Excellent verbal and written communication skills in English, (German is a big plus) 

• Product: Experience in working with Microsoft Office and / or presentation creation - experience in working with think-cell is a strong plus 

Our Values 

As part of our team, you will embody and help shape the following principles that define us:  

Forward Thinking: We embrace change and challenge the status quo. 

Ownership: We take pride in our work and learn from our mistakes. 

Customer First: We prioritize delivering lasting value. 

Unified Team: We foster collaboration, respect, and integrity. 

Strive for Excellence: We set ambitious goals and pursue quality. 

We believe in a human hiring process, every application is personally reviewed.

Why is think-cell the right place for you?

We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 210 people, committed to innovation and excellence. 

think-cell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team! 

Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology

About the Position

The research group led by Prof. Dr. Andrey Ustyuzhanin at Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor Technology (industry partner), invites applications for Ph.D. student positions in the field of Computer Science, with a focus on Artificial Intelligence (AI) and Machine Learning (ML).

This PhD position is part of an initiative to advance knowledge representation and adaptive reasoning systems. The research will focus on developing flexible frameworks for actionable knowledge representation that support storage, retrieval, and dynamic adaptation of information across diverse tasks.

Key objectives include:

• Transforming unstructured data into interactive knowledge graphs and personalized cognitive maps.
• Designing models that provide interpretable, persistent, and navigable structures of knowledge.
• Addressing challenges such as hierarchy, composability, and coarse-graining for robust, task-specific reasoning.
• Exploring individual and community-level knowledge modeling, including personalized domain maps, profile extraction from artifacts (e.g., papers, courses), and cross-domain abstraction.

The overarching goal is to create systems that enable transparent, adaptive, and spatially intuitive representations of knowledge, supporting both individual users and collaborative communities.

Applicant Profile

Mandatory requirements:

• Holding recognized MSc degree (or equivalent) in Computer Science, AI, ML, or a related discipline.
• Students holding BSc degree and exhibiting outstanding performance and extraordinary potential can apply for fast-track PhD.
• Strong mathematical background supported with experience in defining and developing knowledge-graph or information retrieval systems.
• Hands-on experience with large language models (LLMs) and their applications.
• A track record of publications in AI/ML or related areas.
• Documented experience in practical research work.
• Strong skills in academic English writing (peer-reviewed papers, reports, or equivalent).

Funding & Appointment Terms

The appointment provides full financial coverage through a dedicated fellowship, comprising:

• Monthly stipend of €1,650
• Monthly research-cost allowance of €100 (Forschungskostenpauschale)
• Health-insurance subsidy of €100 per month
• Supplementary €550 mini-job allowance to support parallel part-time employment (optional)

Application Details

• Expected start date: March, 2026

Application package must include: 

• Curriculum Vitae (CV);
• Academic transcripts ;
• A detailed letter of motivation outlining research interests and career goals;
• 2 recommendation letters;

Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

About the position

You are expected to contribute to the development of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing and representing deep semantic and pedagogical structures in scientific and educational materials; high-fidelity extraction of conceptual and reasoning blocks; inference-time rationale generation; and adaptive, learner-aware sequencing of content. This includes work on semantic parsing, structured NLP, graph-based neural models, metacognitive prompting, ontology alignment across disciplines, and human-in-the-loop optimization.

In this context, interdisciplinary research is strongly encouraged—particularly collaborations spanning computer science, computational linguistics, cognitive science, and the learning sciences. You will contribute to developing datasets, baseline models, personalized learning engines, reasoning-graph representations, cross-domain mapping algorithms, and RLHF-style feedback loops that improve system interpretability and instructional quality. The successful candidate will also contribute to high-quality publications, release research prototypes, and support demonstrator systems that deliver structured semantic extraction, rationale-aware content generation, and cross-domain transfer of reasoning structures.

Additionally, the successful candidate is expected to support teaching activities in areas such as Machine Learning, Natural Language Processing, AI in Education, Knowledge Representation, and Python-based analytical seminars at the BSc, MSc, and PhD levels. Responsibilities include assisting in course delivery, advising students, supervising Bachelor/Master theses, and engaging in methodological innovation for online, hybrid, and in-person learning environments. The university provides strong support for early-career researchers, including mentorship, administrative assistance, access to computational resources, conference funding, and opportunities to collaborate with other research groups and industrial partners working at the intersection of AI and digital education.

Mandatory requirements

• Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
• Strong research interest and practical experience in one or more of the following areas:
  • semantic parsing and structured representation learning
  • knowledge graphs or graph-based reasoning
  • transformer models, sequence modeling, or GNNs
  • natural language generation and explainability
  • educational AI, personalization algorithms, or cognitive modeling
• Evidence of research potential through publications, a strong thesis, or significant projects.
• Experience or interest in innovative teaching and learning approaches.
• Ability to translate theoretical insights into engineered prototypes and systems supporting scientific or educational use cases.
• Responsible, self-motivated, and capable of working independently as well as collaboratively.
• Excellent verbal and written communication skills.
• Intercultural competence and experience in international environments.
• Fluency with co-pilot tools for coding and writing.
• Fluency in English, the language of instruction and communication on campus.

Funding & Appointment Terms

The appointment provides full financial coverage through a dedicated fellowship, comprising:

• Monthly stipend of €1,650
• Monthly research-cost allowance of €100 (Forschungskostenpauschale)
• Health-insurance subsidy of €100 per month
• Supplementary €550 mini-job allowance to support parallel part-time employment (optional)

Application Details

• Expected start date: March, 2026

Application package must include: 

• Curriculum Vitae (CV);
• Academic transcripts ;
• A detailed letter of motivation outlining research interests and career goals;
• 2 recommendation letters;

Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology

About the Position

Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor Technology (industry partner), invites applicants holding MSc degree and with a very strong scientific profile for Ph.D. student positions in the field of Computer Science, with a focus on Artificial Intelligence (AI) and Machine Learning (ML).

In this position students will contribute to research projects in CKL and as part of their education, will also engage in a dedicated 6-months internship period at Constructor Technology (CT), gaining first-hand industrial experience.

Mandatory requirements:

• Holding recognized MSc degree (or equivalent) in Computer Science, AI, ML, or a related discipline;
• Hands-on experience with large language models (LLMs) and their applications;
• A track record of publications in AI/ML or related areas;
• Strong skills in academic English writing (peer-reviewed papers, reports, or equivalent);
• Hands-on experience with research, demonstrated through publications and/or open-source contributions;
• Depending on the project strong mathematical background supported with experience in defining and developing knowledge-graph or information retrieval systems.

Funding & Appointment Terms

The appointment provides full financial coverage through a dedicated fellowship, comprising:

• Monthly stipend of €1,650
• Monthly research-cost allowance of €100 (Forschungskostenpauschale)
• Health-insurance subsidy of €100 per month
• Supplementary €550 mini-job allowance to support parallel part-time employment

This structure follows best practices of European research funding programs and ensures that the PI can pursue research objectives with both financial and administrative stability.

Application Details

• Applications will be reviewed on a rolling basis.

Applications should include:

• Curriculum Vitae (CV)
• Academic transcripts
• A detailed letter of motivation outlining research interests and career goals
• 2 letters of reference

Shortlisted candidates will be invited to interviews. Admission decisions will be announced by December 20, 2025.

Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology

About the Position

Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor Technology (industry partner), invites applicants holding BSc degree and with a very strong scientific profile for fast-track Ph.D. student positions in the field of Computer Science, with a focus on Artificial Intelligence (AI) and Machine Learning (ML).

In this position students will contribute to research projects in CKL and as part of their education, will also engage in a dedicated 6-months internship period at Constructor Technology (CT), gaining first-hand industrial experience.

Mandatory requirements:

• Students holding BSc degree in Computer Science, AI, ML, or a related discipline and exhibiting outstanding performance and extraordinary potential can apply for fast-track PhD.
• Hands-on experience with large language models (LLMs) and their applications.
• A track record of publications in AI/ML or related areas.
• Strong skills in academic English writing (peer-reviewed papers, reports, or equivalent).
• Strong mathematical background supported with experience in defining and developing knowledge-graph or information retrieval systems, strong programming skills.

Funding & Appointment Terms

The appointment provides full financial coverage through a dedicated fellowship, comprising:

• Monthly stipend of €1,650 
• Monthly research-cost allowance of €100 (Forschungskostenpauschale)
• Health-insurance subsidy of €100 per month
• Supplementary €550 mini-job allowance to support parallel part-time employment

This structure follows best practices of European research funding programs and ensures that the PI can pursue research objectives with both financial and administrative stability.

Application Details

• Applications are reviewed on rolling basis.

Applications should include:

• Curriculum Vitae (CV)
• Academic transcripts
• A detailed letter of motivation outlining research interests and career goals
• 2 letters of reference
• Link to GitHub profile

Shortlisted candidates will be invited to interviews. Admission decisions will be announced by 10 April 2026.

Position: Field Applications Scientist I, EMEA

Position Type: Full-Time

Department: Scientific Support

Location: DACH region (Germany / Austria / Switzerland). Remote. Must be close to a major airport (within 50 kms).

Experience: MS required; 4+ years experience in a Field Applications role 

Position Summary

Watchmaker Genomics (WMG) is inviting applications for the full-time position of Field Applications Scientist I, EMEA (remote) based in the DACH region.

This position reports to the Associate Director, Field and Automation Support and will be mainly responsible for providing field technical support for Watchmaker’s Next-Gen Sequencing (NGS) and precision enzyme product portfolios. This position will support the EMEA technical team by providing pre- and post-sales technical and scientific support, including presenting technical content to customers and distributors, co-travel with sales team members, attending and/or presenting at conferences and assisting with various marketing activities. This position is field based, with up to 75% travel within EMEA (potential for international travel outside EMEA). 

Prior experience with providing field application support is required. The successful candidate will be self-motivated, proactive, and thrive in a dynamic, fast-paced working environment contributing directly to our company culture and success.

The position is expected to have a deep technical understanding of our current product portfolio, maintain knowledge of current and new NGS products, workflows-associated applications, competitor products and NGS automation support offerings, and identify and escalate changes in the market dynamics. This position is also accountable for providing customer feedback on WMG products, in addition to identifying unmet customer needs that will enable the development of new and innovative products.

Responsibilities

• Responsible for providing pre- and post-sales technical and scientific support, both onsite and remote, for customers and distributors across WMG’s NGS and precision enzyme product portfolio. 
• EMEA-based travel (up to 75%) activities including co-travel with sales team members, meetings with key customers, providing training and troubleshooting, and participating in trade shows/conferences. Possible opportunity for further international travel.
• Provides deep product knowledge to solve customer challenges. Triages issues, troubleshoots investigations, and identifies solutions.
• Creation of training material, and presenting technical content to new or current customers or distributors.
• Inform and implement processes as a part of our EMEA-field based scientific support organization.
• Maintain expert-level knowledge of current and new NGS products and workflows, our precision enzyme portfolio and associated applications, competitor products and NGS automation support offerings. 
• Provide customer and market feedback on WMG products; Identify and communicate unmet customer needs that will aid in the development of new and innovative products.
• Work closely with the commercial team to identify and support collaborations with leading research institutions and industry partners to accelerate the sales cycle, including both pre-sales and post-sales troubleshooting. 
• Support marketing activities including generation of customer-facing technical content (i.e. posters, app/tech notes, white papers, webinars) as well as participating in and presenting at trade shows/conferences.
• Participate in sales, marketing, and product strategy meetings when appropriate. 
• Follow best practices and documentation requirements for customer-related activities and events in CRM.
• Additional duties as required within the remit and responsibilities of the role.

Required Qualifications and Experience

Relevant experience providing field-based applications support for next-generation sequencing (NGS) experiments and/or other advanced genomics applications. Relevant experience includes working in high-throughput sequencing labs developing, optimizing and troubleshooting NGS workflows both manually and on automated platforms and managing large sequencing projects. 

Qualified candidates will have a proactive approach with a can-do attitude, and be great communicators with a high level of self-motivation. Candidates will also have a strong desire to continually improve, learn and collaborate to help WMG stay at the forefront of exciting new applications spaces. Candidates will be able to demonstrate a high standard experience to our customer base, excel in the art of troubleshooting, and take ownership and pride in their work.

Candidates will have the courage to initiate discussions with customers to challenge the current "status quo" and have the confidence to drive change and adoption of new concepts. Full product training will be provided.

The following skills and experience are requirements for the position:

• MSc in Genetics, Molecular Biology, Biochemistry or related field
• 4+ Years experience within NGS field applications 
• Advanced knowledge of and practical experience with experimental design, applications/assay development, NGS library preparation, PCR, qPCR, good lab practices, and troubleshooting. Automation knowledge of NGS assays is a plus. 
• Ability to travel up to 75% of time 
• Strong customer consultative skills which includes application of scientific knowledge and analysis, exceptional customer engagement, and fostering of customer relationships
• High self-motivation and must have demonstrated ability to work in a collaborative team environment
• Experience with CRM software (particularly Salesforce.com) highly desirable
• Excellent verbal and written communication skills
• Fluent in English (required), multiple languages is a plus (German, preferred)

Application Requirements 

To apply for the position, please submit the following in a PDF format on watchmakergenomics.com: 

• Letter of motivation (upload where it says cover letter)
• Resume or Curriculum vitae, highlighting relevant qualifications and experience

Applications without a Letter of Motivation will not be considered.

Applications will be accepted on a rolling basis and the position will remain open until filled; however, early submission is encouraged as review will begin immediately.

If selected to participate in the interview process, the names and contact information of three professional references who are able to assess your suitability for the position in terms of the specified requirements will be requested.

*** NO RECRUITMENT AGENCIES PLEASE

We are only accepting direct applications for this position. We are not working with external recruiters or agencies at this time. Unsolicited resumes or candidate submissions from third-party recruiters will not be considered and will be deemed the property of Watchmaker Genomics.

*** WE ARE AN EQUAL OPPORTUNITY/AFFIRMATIVE ACTION EMPLOYER

Watchmaker Genomics is committed to being an equal opportunity employer and creating a culturally diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, or veteran status or any other characteristics as protected by applicable law..

This position may be subject to pre-employment checks, including driving history check, drug screening and a background check for any convictions directly related to its duties and responsibilities. All pre-employment checks will comply with all applicable federal, state, and local laws.

About Charles River Associates

Charles River Associates is a leading global consulting firm that provides economic, financial, and business management expertise to major law firms, corporations and governments around the world. CRA advises clients on economic and financial matters pertaining to litigation and regulatory proceedings, and guides corporations through critical business strategy and performance-related issues. For nearly 60 years, clients have engaged CRA for its combination of industry experience and rigorous, fact-based analyses that provide clients with clear, implementable solutions to complex business concerns.

CRA's European Competition Practice specialises in providing economic advice on matters of competition policy and regulation. We assist firms and their legal advisors in all types of competition proceedings: firms considering merger and acquisition opportunities or involved in merger control proceedings; and firms undergoing investigations relating to cartels, restrictive commercial agreements, abuse of dominance or state aid. We also provide advice to firms involved in regulatory proceedings and sector inquiries. We offer assistance on the estimation of effects and damages in cartel cases, international arbitration and intellectual property disputes.

Position Overview

Principals have the unique opportunity to learn from, and work alongside, some of the most respected scholars, specialists, and industry experts in the world.  We tailor our analyses to the facts of each case, employing tools such as merger simulation, upward pricing pressure analysis, econometrics, bargaining theory, or game theory as needed. Whether before a court or a regulatory agency, CRA consultants set a high standard for the clear communication of sophisticated economic analysis in complex cases. You will have access to internal training programs focused on creative problem solving, communications, and leading and managing colleagues, teams and cases.  In addition, our firm offers extracurricular activities where you can take additional leadership roles in recruiting, training, and volunteer activities in the local community.

A typical Principal would:

• Work closely with leading academics and consulting with attorneys and other clients in industry and government on a wide variety of finance, strategy and economics issues;
• Act as a primary point of contact for clients and assist in the development and presentation of client deliverables including expert reports summarizing our opinions, conclusions, and recommendations and third party financial, market and industry data;
• Independently conceptualize and identify issues, design complex economic and financial models to analyze economic and financial data;
• Manage the research process, and supervising, training and mentoring junior analysts;
• Ensure the integrity and accuracy of analyses and opinions;
• Work with those testifying in judicial proceedings to provide economic analyses of mergers and other competition matters before the major competition authorities of the world;
• Assist with recruiting and training of new colleagues.

Desired Qualifications

• Strong achievement in a graduate degree program (Masters or PhD) with focused study in economics or another quantitative discipline;
• Extensive and relevant experience (7-11 years), preferably economics/antitrust consulting experience preferred;
• Demonstrated understanding of economic concepts, competition/regulatory authorities and quantitative and qualitative analysis methods;
• Exceptional written and oral communication skills;
• Experience managing and developing teams of junior colleagues;
• Executive client presence and interaction skills.

To Apply

To be considered for this position, submit through this job posting:

• Curriculum Vitae – please include current contact information;
• Covering letter – please describe your interest in a role with CRA's Antitrust and Competition Economics practice in Germany and how this role matches your goals;
• Writing Sample (optional) – we prefer a sole-authored submission from an existing work (work product, published article or academic paper) that includes your commentary on a quantitative analysis and/or relevant to the field of economics.

Work Location Flexibility

CRA creates a work environment that enables our colleagues to benefit from being together in the office to best deliver on our promise of career growth, mentorship and inclusivity. At the same time, we recognise that individuals realise a range of benefits when working from home periodically. We currently ask that individuals spend 3 to 4 days a week on average working in the office (which may include traveling to another CRA office or to a client's location), with specific days determined in coordination with your practice or team. At certain times of the year (e.g. holiday periods), additional remote work options are offered to those whose work commitments permit it, although our offices remain open for those who choose or need to be there.

Our Commitment to Diversity

Charles River Associates is an equal opportunity employer. As part of our focus on equity and inclusion, we work to ensure a fair and consistent hiring process. We celebrate diversity and we are committed to an inclusive work environment.

The statements included in this job description are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of personnel so classified.