Sentiment Analysis Dataset Jobs in Usa

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.

2. We strive for excellence.

3. We thrive on diversity.

4. We celebrate collaboration.

5. We champion innovation.

6. We safeguard freedom of inquiry and expression.

7. We nurture the wellbeing of our community.

8. We act ethically.

9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

The Georgia Institute of Technology is a top 10 public research university with nearly 40,000 students who study in person at the main campus in Atlanta, at Georgia Tech-Europe in France, as well as through distance and online learning.

Georgia Tech is distinguished by its commitment to improving the human condition through advanced science and technology.
Accredited by the Southern Association of Colleges and Schools (SACS), the Institute offers nationally recognized undergraduate and graduate programs in the colleges of business, computing,
design, engineering, liberal arts, and sciences.

The Office of Graduate and Postdoctoral Education (GPE) is a unit of the Office of the Provost with a mission that supports Georgia Tech's mission by providing services, advocacy, and
development programs for graduate students and postdocs, as well as oversight and strategic initiatives to graduate education.

We are seeking a postdoctoral researcher who will work under the guidance of Dr. Gaeun (Gwenn) Seo, Director of Graduate Career Development in the Office of the Vice Provost for Graduate and Postdoctoral Education at Georgia Institute of Technology. The postdoc will contribute to a multi-year, federally funded research initiative that examines how industry-engaged graduate funding structures shape Ph.D. student success, faculty research environments, and institutional policy. This project will examine industry-engaged flexible graduate funding models that combine traditional funding mechanisms (e.g., research assistantships, fellowships) with externally supported funding, such as internships and industry-sponsored appointments. The study will compare outcomes for Ph.D. students in these flexible funding arrangements with regard to financial security, research engagement, career decision-making, and time to degree, as well as impacts on faculty research strategies, mentoring practices, and institutional policies. Using a mixed-methods design, the project will integrate surveys, interviews, and longitudinal institutional data across STEM disciplines and stakeholder groups.

The postdoctoral researcher will play a central role in this work, with primary supervision provided by Dr. Seo and additional input from the projects PI/CoPIs. The postdoc will contribute to the design and implementation of data collection instruments, conduct quantitative and qualitative analyses, and synthesize findings to generate evidence-based insights that inform institutional decision-making. Through regular engagement with the research team, the postdoc will support the translation of empirical results into scholarly publications and actionable guidance for institutions seeking sustainable and scalable approaches to graduate education funding.

This is a two-year, renewable position contingent on performance. The postdoc will receive research and professional development mentoring and, as time permits, may pursue related projects and develop an independent line of scholarship aligned with the broader research agenda.

Key Responsibilities -

• Design, pilot, and implement quantitative and qualitative data collection instruments (surveys, interview guides) in collaboration with the research team and an external research consultant.
• Conduct data cleaning and management and analyze quantitative and qualitative data, including longitudinal institutional datasets
• Apply statistical modeling techniques (e.g., regression, factor analysis, SEM) and qualitative coding methods.
• Contribute to manuscripts, conference presentations, and public dissemination of findings.
• Participate in interdisciplinary team meetings and collaborate with faculty, administrators, and external partners.
• Support IRB coordination and ensure compliance with NSF data management and human subjects protocols.

Required Qualifications

• Ph.D. in Education, Educational Psychology, Higher Education, Human Resource Development, Learning Sciences, Educational Policy, or a related field (degree must be completed by appointment date).
• Demonstrated expertise in mixed-methods research, with strong quantitative analysis skills.
• Experience designing or implementing surveys and analyzing large datasets
• Proficiency in statistical software (e.g., SPSS, R, MATLAB, or Python)
• Excellent written and verbal communication skills, including experience preparing manuscripts or reports.
• Ability to work collaboratively with faculty, administrators, and research partners in higher education settings.

* Experience in implementing educational research in higher education

* Knowledge of higher education research, graduate education, or workforce development.

* Experience in longitudinal or institutional data analysis.

Position Title: Postdoctoral Research Associate
Anticipated Start: Preferably June 2026; no later than August 1, 2026.
Salary Range: $65,000-$70,000 per year (commensurate with experience)

When submitting the application, please include:

1. Curriculum Vitae

2. Cover Letter summarizing research experience and alignment with the project

3. One sample publication or writing sample

4. Contact information for three references

5. Please submit the following materials as a single PDF

Review of applications will begin on March 16 and continue until the position is filled.

The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

Excelligence Learning Corporation is a privately held educationservices company founded in 1985 and headquartered in Monterey, California. As a global leader in early childhood and elementary education, it develops, manufactures, and distributes over 20,000 educational products and instructional solutions-ranging from classroom supplies and furnishings to proprietary curricula and digital learning tools-under awardwinning brands such as Discount School Supply, Really Good Stuff, Frog Street, Children's Factory, Steve Spangler Science, and others Glassdoor+3Great Place To Work+3Glassdoor+3. Driven by the mission "Empowering The Education Experience," Excelligence leverages cuttingedge technologies, earlybrain science, and robust fulfillment systems to support more than 33 million young learners and the educators who serve them Great Place To Work. With multiple locations across the U.S., including a major manufacturing and distribution center near Kansas City in Gardner, Kansas, the organization blends national scale with local impact-recognized for both community environmental stewardship and as a Great Place to Work

Overview

Excelligence Learning Corporation is seeking a detail-oriented, data-driven Business Systems Analyst to support Discount School Supply's inventory planning and purchasing operations with a strong focus on systems, analytics, and business intelligence tools. This role is critical in enhancing operational decision-making by leveraging BI platforms, structured datasets, and advanced reporting to deliver insights that directly impact forecasting accuracy, inventory performance, and supplier compliance.

You will work cross-functionally with Purchasing Managers, IT, Kitting, and Operations to ensure end-to-end visibility of inventory health while building tools, dashboards, and models that streamline workflows and deliver business-critical intelligence.

Core Responsibilities

Business Intelligence & Systems Development

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• Build and maintain dashboards and reporting tools in BI platforms such as Tableau or Power BI to monitor KPIs like service levels, inventory turns, forecast accuracy, and supplier performance.
  
• Utilize SQL and data warehouse environments to extract, transform, and analyze large data sets.
  
• Translate business questions into data requirements and drive data quality and visibility across purchasing, merchandising, and fulfillment functions.
  
• Partner with IT and Operations teams to improve systems integration, data flow, and automation of recurring reports.
  
• Regularly publish proposed supply plans by synthesizing inputs from demand forecasts, current inventory levels, safety stock thresholds, and lead times.
  
• Lead small-scale BI and system enhancement projects that improve inventory insights and forecasting agility.
  

Inventory Analysis & Demand Planning

• 
  
• Deliver weekly performance scorecards and KPI dashboards to support Purchasing Managers and guide decision-making.
  
• Develop forward-looking inventory glidepaths and simulate future stock scenarios to proactively identify service gaps.
  
• Provide detailed inventory analyses to reduce overstock risk, improve working capital efficiency, and ensure alignment with budget goals.
  
• Maintain high item data integrity and ensure inventory availability aligns with merchandising strategy and system readiness.
  
• Ensure sellability of inventory through item status audits and system validations.
  

Required Qualifications

Education

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• Bachelor's degree in Business Administration, Computer Science, Information Systems, Statistics, or a related field.
  

Experience

• 
  
• 3+ years of experience in business intelligence, data analysis, inventory analytics, or a related field.
  
• Demonstrated experience leading BI or reporting projects and delivering data-driven recommendations to senior leadership.
  
• Experience working with large datasets and applying data modeling principles.
  

Technical Skills

• 
  
• Proficiency in BI tools such as Tableau, Power BI, or equivalent platforms.
  
• Strong knowledge of SQL and data warehousing concepts/tools.
  
• High proficiency in Microsoft Excel for modeling, analysis, and reporting.
  
• Experience with ERP systems and item/inventory master data management preferred.
  

Analytical and Communication Skills

• 
  
• Ability to interpret complex data and convert it into actionable business insights.
  
• Proven problem-solving abilities, particularly in system and data integration scenarios.
  
• Excellent organizational, communication, and documentation skills.
  
• Strong attention to detail and comfort with both independent and cross-functional work in a fast-paced environment.
  

Equal Opportunity Statement

Excelligence is an Equal Employment Opportunity (EEO) Employer. We are committed to providing equal employment opportunities to all employees, applicants, and other covered individuals without regard to race, color, religion or creed, sex, gender identity, pregnancy, sexual orientation, marital status, national origin, age, disability, military or veteran status, or any other protected classification under local, state, or federal law.

Company Overview:

Luye Pharma is fast-growing pharmaceutical company committed to advancing innovative therapies for Central Nervous System (CNS) disorders, with a primary focus on schizophrenia. Our pipeline includes promising new treatments such as Erzofri and Rykindo, which are set to launch in the U.S. market.

Position Summary:

In this role, you will collaborate closely with the US Head of Commercial Operations to design, implement, and manage data analytics and performance reporting systems. Your main responsibility will be to provide actionable insights that support decision-making and drive improvements in commercial outcomes. As the Manager of Commercial Analytics, you will serve as a key analytics partner for commercial leaders across sales, marketing, and operations in the US. You will offer valuable insights and recommendations to fuel growth, optimize field performance, and analyze market and patient trends. Additional key responsibilities include developing reporting processes and assisting with the coordination of Monthly Business Reviews, focusing on KPIs, forecasting variances, and updates to the Latest Estimate.

Report to: Head of Commercial Operation

Key Responsibilites:

• Develop and maintain performance dashboards and reports, integrating internal KPIs and external datasets to track business metrics, monitor progress toward sales goals, and evaluate operational performance.
• Conduct in-depth analysis of market trends and product performance to identify growth opportunities and risks.
• Evaluate overall business performance, including volume, market share, new patient starts, and KPIs, comparing actuals against forecasts and targets.
• Partner with Sales and Commercial Leadership to optimize territory alignments, call planning, and customer targeting, using analytical insights to improve sales coverage and operational efficiency.
• Assess performance and activity trends at sub-national levels to uncover opportunities, inefficiencies, and areas for improvement within the sales force.
• Prepare monthly business reviews, utilizing a combination of third-party market data (e.g., prescriber, chargebacks, 867, 852 data) and internal performance metrics to guide executive decision-making.
• Build and maintain performance dashboards and reports by integrating internal KPIs and third-party datasets to monitor business metrics, track progress against sales goals, and evaluate operational performance.
• Assist in designing incentive compensation structures and performance metrics, including goal setting and attainment analysis.
• Analyze market trends, physician and account-level data, and promotional effectiveness to support segmentation, targeting, and brand strategy.
• Provide support to field teams by addressing data and reporting requests, resolving inquiries, and delivering actionable insights for daily execution.
• Collaborate with cross-functional teams to develop demand forecast models.
• Conduct data analysis, reporting, and generate actionable insights to support commercial brand strategy and execution.
• Other duties as assigned.

Qualifications:

• Bachelor’s degree
• 3-5 years of experience in relevant analytics roles within the pharmaceutical or life sciences industry.
• Strong understanding of the pharmaceutical industry and familiarity with third-party data sources (e.g., Symphony Health, IQVIA, etc.).
• Strong proficiency in Excel
• Exceptional analytical capabilities, including the ability to manipulate large data sets and apply advanced analytical methodologies.
• Experience with BI tools (Tableau, Power BI, Qlik etc.) preferred.

To all recruitment agencies: Luye does not accept unsolicited third party resumes, and all resumes must be submitted to HR Function.

The starting compensation range(s) for this role are listed for a full-time employee (FTE) basis. Additional incentive may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.

Luye Pharma is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability

Open date: February 24, 2026

Most recent review date: Tuesday, Mar 10, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientist at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of molecular and cellular microscopy research.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The purpose of this project is to develop a foundation AI model capable of extracting biological insights from 4D (x,y,z,time) datasets of subcellular dynamics within physiological contexts and across scales. Incumbent will advance imaging to generate petabytes of targeted and high quality datasets necessary to prototype and build this model. The Assistant/Associate/Full Project Scientists will help develop and execute the research program focused around ABC's overarching goal of moving cell biology away from the coverslip and into physiological systems. These positions will work within a dedicated team to develop and refine the microscopy techniques. This position will manage projects and provide regular progress reports to PIs and collaborators.

The incumbent will spend 90% of their time on ABC research goals and managing and maintaining equipment in the lab and 10% of their time training/supervising collaborators, graduate students and postdoctoral fellows on MOSAIC/iAOLLSM capabilities.

Key responsibilities:

*Make significant and creative contributions to designing, building, and testing of a new high throughput adaptive optical inverted lattice light-sheet microscope (iAO-LLSM). This instrument aims to achieve a 10-fold increase in data acquisition throughput while maintaining the high-quality optical performance demonstrated in our previous work.

*Use, maintain, and oversee the operations of the two next-generation multimodal optical scopes with adaptive imaging correction (MOSAIC) microscopes at the ABC.

*Actively participate in handling/mounting biological samples on advanced microscopes and collect 4/5D datasets.

*Collaborate with a cross-disciplinary team of AI scientists, data engineers, instrumentation scientists and biologists and generate high resolution microscopy data using novel transparent developing organism reagents necessary to reach the goal of prototyping and training a 4D foundation model.

*Actively participate in national and international collaborations, presentation of research findings at scientific conferences, and publication of results in leading peer-reviewed journals.

*The incumbent will actively participate in and occasionally lead efforts to develop new projects.

These positions are eligible for full benefits.

Lab:

Contract: resources/employment-policies-contracts/bargaining-units/academic-researchers/contract/

*PhD (or equivalent international degree)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience

*PhD or equivalent international degree in Physics, Chemical or Biological Engineering, Molecular and Cell Biology, Systems Biology, Biochemistry, or Related Field.

*Experience or expertise in light microscopy, spectroscopy, or laser optics.

*Experience or experience with adaptive optics and lattice light sheet microscopy.

*Experience or experience designing and building custom microscopes.

*Ability to troubleshoot microscopy instruments, prepare samples, design research methodology.

*Proficient with CAD programs for instrument design (e.g. Autodesk Inventor or Solidworks).

*Ability to explain concepts to a variety of audiences; and oversee a laboratory space or unit.

*A strong preference for a record of imaging, characterization and analysis of live cells and biological tissues.

*Experience with data and image processing, evaluating image quality, visualizing and analyzing image data.

*Experience making figures and movies with microscopy data for publishing articles.

*Experience collaborating with labs in a wide variety of areas.

*Experience executing large imaging projects (tens of terabytes to multi petabyte-scale)

*Experience leading technicians

*Ability to review research proposals and ideas, evaluate research capabilities, and make recommendations.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position.

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Bioinformatics Scientist – Antibody Discovery

A growing global veterinary pharmaceuticals organisation is looking for a Bioinformatics Scientist to support antibody discovery programmes for companion animals (dogs, cats, horses).

Working closely with senior R&D leadership, this role will focus on applying bioinformatics, sequencing data analysis and protein modelling to identify and optimize therapeutic antibody targets.

Key Responsibilities

• Analyse genomic, DNA-seq and RNA-seq datasets to support antibody discovery
• Apply bioinformatics and modelling approaches to evaluate and optimize antibody candidates
• Contribute to protein modelling and in-silico antibody engineering (e.g. liability remediation, biophysical optimization)
• Curate and integrate genomic datasets for companion animal species
• Collaborate closely with discovery biology and R&D teams

Key Requirements

• At least 1 year of experience working with therapeutic antibodies (essential)
• Experience analyzing next generation sequencing datasets (DNA / RNA-seq)
• Background in bioinformatics, computational biology or structural biology
• Familiarity with protein modelling / antibody engineering tools (e.g. MOLE, Rosetta or similar)
• Strong communication skills and ability to work cross-functionally with scientific teams

This is an exciting opportunity to contribute to cutting-edge biologics discovery in animal health, helping develop next-generation therapies for companion animals.

If interested, please reach out for a confidential discussion.

Our client is a forward-thinking consultancy at the forefront of technology and innovation, dedicated to empowering organizations to thrive in an ever-evolving digital landscape. Our clients mission is to help businesses harness the power of data and artificial intelligence to drive growth, enhance customer experiences, and optimize operations.

As they enter their next phase of expansion, they are seeking a GenAI Architect to drive cutting-edge AI/ML projects and turn complex data into actionable insights. You’ll thrive in a client-facing, project-based role, leading teams to design, build, and deploy enterprise-scale models across diverse use cases.

Responsibilities

• Lead project teams and act as the technical architect on AI/ML initiatives.
• Analyze large, complex datasets and translate them into impactful insights using ML and AI techniques.
• Build, implement, and deploy models into production environments, leveraging best practices across cloud and on-prem solutions.
• Collaborate with clients to define requirements, architect solutions, and present technical recommendations.
• Coach and mentor junior team members while driving project success.

Experience

• Proven track record building large-scale AI/ML solutions in enterprise or consulting environments.
• 5+ years of hands-on experience in statistical modelling, analytics, and machine learning.
• Advanced academic background (Master’s in Statistics, Math, Computer Science, or related; PhD is a strong plus).
• Expertise in a wide range of ML and AI techniques: regression models, cluster analysis, predictive modeling, neural networks, deep learning, decision trees, ensemble methods, and more.
• Strong programming skills in Python, TensorFlow, PyTorch, Hugging Face Transformers, and other ML frameworks for model development and experimentation.
• Deep understanding of NLP fundamentals, including tokenization, embeddings, language modeling, sequence labeling, and text generation.
• Experience with modern AI tooling: LangChain, vector databases, prompt engineering, and large-scale data embedding.
• Solid knowledge of relational (SQL) and non-relational (NoSQL) databases, and distributed systems like Hadoop and Spark.
• Ability to turn complex datasets into compelling, actionable insights using visualization tools (RShiny, Python, Tableau, Power BI, D3.js, etc.).
• Passion for mentoring and leading teams, fostering growth and knowledge sharing.
• Experience managing data workflows: wrangling, exploring, transforming, and analyzing diverse datasets.
• Familiarity with monitoring model performance, tuning, and ensuring high-quality data.
• Excellent communication skills with the ability to engage stakeholders at both technical and business levels.
• Strong curiosity and thought leadership, staying ahead of AI/ML trends and research.
• Experience deploying ML models into production on cloud platforms such as Google Cloud Platform, Azure, or AWS.

Please note, our client is unable to support visa transfers at this stage and can hire US citizens or Greencard holders.

If you feel you have the required skills, please get in touch with a copy of your CV! Or email me directly at

At Quotacom, we take the security and privacy of your personal data very seriously, any data we hold will be in accordance with data protection legislation. Full details of our privacy notice can be found at

Open date: February 2, 2026

Most recent review date: Monday, Feb 23, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Friday, Jul 31, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Institute for Business and Social Impact at UC Berkeley seeks to hire a postdoctoral scholar who applies pioneering, rigorous empirical analysis to policy-relevant questions in applied economics, development, mental health, labor, or closely related fields.

We are especially interested in candidates whose work combines empirical causal inference, administrative or large-scale data, and topics related to development, labor markets, mental health (broadly defined, e.g., measurement, interventions, behavioral mechanisms, digital or light-touch mental health tools), or behavioral economics. We welcome applicants with strong foundations in empirical methods in economics and/or experience designing, implementing, or overseeing large-scale randomized controlled trials.

The ideal postdoctoral scholar will have demonstrated excellence in using modern empirical methods-including econometrics, experimental and quasi-experimental techniques, and/or machine learning approaches for prediction and causal inference-to study policy-relevant questions in development, labor, mental health, or related fields. We seek a postdoctoral scholar who bridges applied microeconomics with behavioral and mental-health insights, using empirical and machine-learning tools to study social and economic policy.

Duties of Position:

The position offers direct engagement in new and exciting research opportunities and personal mentorship from faculty and researchers on the team. The postdoctoral scholar will gain an expanded network of collaborators and become a member of the UC Berkeley research community by actively participating in seminar series and internal workshops to present and receive feedback on their work.

The postdoctoral scholar will be expected to join and develop a research agenda in collaboration with their supervisor and Faculty Director, Paul Gertler, along with Laura Chioda, IBSI's Chief Data Scientist, and IBSI's network of researchers.

Ph.D. (or equivalent international degree), or enrolled in a Ph.D. or equivalent international degree program at the time of application.

* Ph.D. (or equivalent international degree) by the start date.

* No more than three years of post-degree research experience.

Ph.D. holders in economics and related fields specializing in applied microeconomics, development, mental health, or behavioral economics are invited to apply.

We particularly encourage applications from postdoctoral scholars whose work integrates theory-driven mechanisms with rigorous empirical analysis, including field experiments (RCTs) or the use of large-scale administrative datasets. Experience developing research projects in collaboration with non-academic stakeholders-such as NGOs, governments, or industry partners-is highly valued.

Preferred Technical & Professional Skills

* Advanced Programming: Proficiency in R, Stata, and/or Python.

* Computational Expertise: Familiarity with machine-learning methods for prediction and causal inference, including experience with unstructured data.

* Quantitative Foundation: Strong skills in econometrics and statistics, backed by advanced doctoral coursework.

* Data Management: Excellent organizational capabilities and experience managing complex datasets.

* Communication & Collaboration: Fluency in English with the ability to communicate research findings clearly and work effectively within a multi-disciplinary team.

Professionalism: High degree of self-motivation, flexibility, and the ability to manage multiple workstreams efficiently.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Writing Sample - Job Market Paper or one PhD dissertation chapter- or article length writing sample.

  
  

• Research Agenda - A 1-page summary of your research agenda non-technical language, suitable for a broad audience outside of your discipline

  
  

• 3-5 required (contact information only)

References should be from individuals who are familiar with the applicant's written work and qualifications for the position.

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Job Description:

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large.

About the Role:

We are seeking a highly skilled and experienced Data Analyst with Power BI Specialty to join a dynamic team of marketing analysts in driving forward our mission to transform business and ad tech data into valuable marketing insights. As a Data Analyst / Power BI Specialist in the Wiley Marketing team, you will play a crucial role developing strategically important shared data models for reports that influence strategic decision-making, shed light on campaign performance, and ensure the success of our publishing initiatives. We're looking for a methodical, future-thinker, who can support and guide others in the team to do the same. We have rich data landscape at our fingertips; this role is a key advocate in its practical application to benefit marketing effectiveness.

How you will make an impact:

• Develop and maintain shared semantic models in Power BI using star schema design.

• Develop SQL queries to extract and manipulate data from our BigQuery database for use in Power BI.

• Define and implement best practice report/data management through Microsoft Fabric integrations

• Review and maintain reports for performance optimizations, style consistency, and best practice improvements.

• Consult on and support building a data model and structure that enables efficient and accurate reporting and analysis.

• Consult on wireframe design during the early stages of building new reports to provide guidance on effective visualization and user experience.

• Consult on the development of strategically insightful reporting dashboards with actionable insights to support key stakeholder decision-making processes.

We are looking for people who have:

• Experience (4+ years) in Data Modelling, Data Analysis, or similar.

• Demonstrated experience with Power BI, semantic models, and other Microsoft Fabric tools.

• Demonstrated proficiency creating SQL queries to manipulate large datasets.

• Strong analytical and problem-solving skills, with a focus on best practice and data governance.

• Strong attention-to-detail, with the ability to organize and maintain datasets using meticulous, self-determined methods.

• Strong communication skills, with the ability to define requirements and explain technical concepts to both technical and non-technical stakeholders.

• Experience with BigQuery or other data warehousing platforms.

We power infinite possibilities.

For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere.

We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives.

Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything.

Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance.

We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow.

We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.

When applying, please attach your resume/CV to be considered.

Salary Range:

Job Posting Title:

Location:

• Support the Regional MP&L team (USA, Canada, Mexico) with data analysis, reporting, and cross-functional coordination
• Prepare, structure, and interpret data to enable informed decision-making across Transportation, Packaging, Inventory, and Customs
• Report directly to the Team Manager, Regional MP&L

Key Responsibilities

• Analyze and consolidate operational data from Transportation, Packaging, Inventory, and Customs
• Prepare structured datasets in Excel (including Power Query / Power BI tools) to support business decisions
• Develop recurring and ad‑hoc reports for performance monitoring across MP&L functions
• Monitor key operational KPIs and identify variances, trends, and improvement opportunities
• Combine and link data sources from different domains to create a unified analytical view
• Support Customs data analysis, including classification trends, duty impact, and compliance metrics
• Contribute to improving data accuracy, completeness, and compliance across all MP&L reporting streams
• Assist with the creation of dashboards, templates, and standard formats for recurring analytics
• Provide timely insights and recommendations to improve logistics efficiency and cost performance

Required Skills & Qualifications

• Strong analytical mindset with the ability to work with large datasets
• Advanced Excel skills (pivot tables, formulas, data modeling)
• Experience with Power Query, Power BI, or similar data transformation tools
• Ability to combine, merge, and reconcile data from multiple sources
• Familiarity with logistics, supply chain, or customs-related data (preferred)
• Excellent attention to detail and structured working style
• Ability to communicate insights clearly in both written and visual formats
• Bachelor’s degree or college degree in Supply Chain, Business, Data Analytics, or a related field

Preferred Experience

• Initial work experience or internship in supply chain, logistics, or data analytics
• Knowledge of transportation, packaging, inventory processes, or customs documentation
• Experience working in an international or multi‑regional environment

Personal Attributes

• High level of curiosity and motivation to explore and understand complex data
• Proactive and self-driven individual with a continuous improvement mindset
• Strong problem-solving skills and ability to work independently with minimal supervision
• Organized, reliable, and comfortable working with deadlines
• Team player with strong interpersonal communication skills

As a Healthcare Financial/Actuarial Associate Director, you will be a key member of the Financial, Actuarial and Analytics (FAA) Community of Expertise. You will lead financial and actuarial engagements for a portfolio of clients and play a strategic role on complex accounts, delivering insights that shape benefit program performance. In partnership with Client Service colleagues, you will communicate sophisticated financial concepts in a way that drives client action, improves plan outcomes, and strengthens WTW's value proposition. This role offers the opportunity to work on innovative projects alongside industry leaders and to influence the future of employer-sponsored health programs.

The Role

• Lead Client Engagements: Manage financial and actuarial deliverables for a portfolio of clients, or direct FAA resources for large, complex engagements.
• Financial Strategy and Modeling: Develop pricing strategies, employee contribution models, reserves, and forecasts across self-insured, fully insured, and alternative funding arrangements (e.g., minimum premium, level funding).
• Data Analysis and Insights: Clean, transform, and analyze large, complex integrated datasets (medical, pharmacy, enrollment) to produce actionable insights and client-ready reporting.
• Risk Management Expertise: Guide clients on funding strategies, underwriting pools, credibility methods, pooling point analysis, and stop-loss solutions to optimize risk management.
• Carrier and Market Assessment: Evaluate carrier pricing dynamics and market competitiveness, providing insights that support vendor selection, contract negotiations, and program optimization.
• Plan Design Consulting: Model plan design alternatives, assess impact on cost and employee experience, and guide strategic recommendations to clients.
• Team Leadership: Provide direction, coaching, and feedback to junior colleagues, supporting their technical and professional development.
• Cross-Functional Collaboration: Partner with Global Delivery Centers, Client Service Teams, actuaries, and clinicians to ensure seamless project execution and superior results.
• Client Relationship Management: Build strong relationships with employer and vendor contacts, serving as a trusted advisor to drive engagement and loyalty.
• Thought Leadership: Contribute to intellectual capital development, identify opportunities for innovation, and support new business, expansion, and cross-selling initiatives.

Qualifications

• 7+ years of experience in professional services, ideally in a benefits consulting, brokerage, underwriting, or actuarial capacity within an insurance or consulting firm.
• Bachelor's degree in a relevant field; Actuarial designation (ASA/FSA) preferred.
• Proven ability to lead multiple clients/projects simultaneously and deliver high-quality work on time and within budget.
• Advanced knowledge of benefit plan design, funding approaches, underwriting principles, and post-employment concepts.
• Expertise in financial modeling and actuarial techniques, including pricing models, reserving frameworks, forecasting tools, and scenario modeling.
• Strong data acumen, with the ability to manage and interpret large, complex datasets to inform decision-making.
• Deep understanding of employer health risk management strategies, including stop-loss, credibility, and rating mechanics.
• Experience advising small to mid-sized employers, with sensitivity to unique plan design and cost-optimization considerations.
• Strategic thinker with a solutions-oriented mindset who can synthesize insights and translate them into clear, actionable client recommendations.
• Excellent written and verbal communication skills; able to confidently present complex financial concepts to executives (CFO, CHRO, CEO).
• Demonstrated success in expanding client relationships and identifying opportunities for additional services.
• Skilled collaborator, comfortable working across cross-functional teams in a fast-paced, evolving environment.
• Advanced proficiency with Microsoft Excel and PowerPoint.
• State Life & Health license (or ability to obtain within 90 days).

Note: Employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity.

This position will remain posted for a minimum of three business days from the date posted or until a sufficient/appropriate candidate slate has been identified.

Compensation and Benefits Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only).

Compensation The base salary compensation range being offered for this role is $115,000.00 - $160,000.00 USD annually. This role is also eligible for an annual short-term incentive bonus.

Company Benefits WTW provides a competitive benefit package which includes the following (eligibility requirements apply):

• Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program)
• Leave Benefits: Paid Holidays, Annual Paid Time Off (includes state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off (only included for Washington roles)
• Retirement Benefits: Qualified contributory pension plan (if eligible) and 401(k) plan with annual nonelective company contribution. Non-qualified retirement plans available to senior level colleagues who satisfy the plans' eligibility requirements.

Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records.

The position allows for flexible working:

At WTW, we trust you to know your work and the people, tools and environment you need to be successful. The majority of our colleagues work in a \"hybrid\" style, with a mix of remote, in-person and in-office interactions dependent on the needs of the team, role and clients. Our flexibility is rooted in trust and \"hybrid\" is not a one-size-fits-all solution.

We understand flexibility is key to supporting an inclusive and diverse workforce and so we encourage requests for all types of flexible working as well as location-based arrangements. Please speak to your recruiter to discuss more.

EOE, including disability/vets