Sentiment Analysis Dataset Jobs in Usa

APPLICATIONS ARE REVIEWED DAILY. YOU CAN EXPECT A RESPONSE WITHIN 24 HOURS. 

Why ABC?

1. Our Patients: An intentional focus on small caseloads with a compassionate care approach.

2. Our Culture: ABC Core Values are more than just words on a wall. It's how we strive to live everyday.

3. Our Community: We ground ourselves in our WHY and the impact we have on the lives of others.

Total Compensation Package from $84,500 to $119,000 annually. Opportunity to earn MORE based on center size, mentorship of RBT’s and supervision of assigned trainees.

Your total compensation consists of a competitive base salary, performance bonuses, mentorship bonuses, and long-term ownership in the company.

 *BCBA’s become eligible for long-term ownership upon promotion to the Sr. BCBA role. All other roles eligible.

Monthly Performance Bonuses: Bonuses are uncapped and start at just 26 hours of treatment delivery per week, meaning you’ll be rewarded for your impact without waiting months to qualify. 

Mentorship Bonuses: Provide supervision hours to an RBT pursuing their Master’s in ABA and earn bonus pay for your guidance, oversight and impact!

Certification Bonuses: Get rewarded for each therapist who becomes certified under your supervision. 

Relocation Packages available: To ease the expenses of your transition.

About US

C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.

C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.

Global offices

United States | Canada | United Kingdom | United Arab of Emirates| India

Job Description:

Overview: This role involves building data products to extract valuable business insights and requires a highly analytical individual with strong problem-solving skills and a passion for machine learning and research.

Responsibilities

• Undertake data collection, preprocessing, and analysis
• Build models to address business problems
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Develop machine learning algorithms
• Conduct data-driven experiments to drive business decisions

Required Skills

• Data mining
• Machine learning and operations research
• Proficiency in R, SQL, and Python (knowledge of Scala, Java, or C++ is a plus)
• Experience with business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)
• Strong math skills (e.g., statistics, algebra)
• Analytical mind and business acumen
• Excellent communication and presentation skills
• Preferred Algorithms and Use Cases:
• Text Analytics: Natural Language Processing (NLP) algorithms for sentiment analysis, text classification, named entity recognition.
• Voice Analytics: Speech recognition, voice-to-text conversion, emotion detection in voice.
• Image Analytics: Image classification, object detection, facial recognition.

Qualifications

• Proven 5+ years of experience as a Data Scientist or Data Analyst
• Bachelor's or master's degree in computer science, Engineering, or relevant field; graduate degree in Data Science or other quantitative field is preferred

C5i is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations.

Location: Sanford, FL (100% Onsite)

Company Overview: Confidential ($600M+ Revenue | 2,000+ Employees)

THE OPPORTUNITY

We are seeking a visionary Call Center Operations Manager & Customer Support Leader to lead a high-stakes transformation of our customer support ecosystem. This is not a "maintenance" role; you will be the architect of a modernized, data-driven hub, transitioning our operations through advanced technology integration (including AI) and strategic change management.

Reporting to executive leadership, you will oversee a team of 25+ agents and support staff, handling 12,000 monthly interactions, with the primary goal of elevating the customer journey into a competitive advantage.

CORE RESPONSIBILITIES

Strategic Transformation & Innovation

• Modernization Roadmap: Design and execute a comprehensive strategic plan to transition the center into a proactive, analytics-driven service hub.
• Tech Stack Evolution: Spearhead the deployment of AI-powered tools for sentiment analysis, intelligent routing, and self-service automation.
• Change Management: Lead the cultural and operational shift required to adopt new workflows, ensuring alignment across all levels of the organization.

Operational Excellence

• Performance Engineering: Define and exceed KPIs including FCR, CSAT, NPS, and AHT while maintaining strict SLA adherence.
• Workforce Optimization: Implement sophisticated workforce management (WFM) strategies to ensure optimal staffing and scalability.
• Voice of the Customer (VoC): Collaborate with Sales, Marketing, and Field Ops to ensure a unified customer journey and provide actionable insights back to the business.

Leadership & Mentorship

• Team Development: Directly supervise and mentor 2 Supervisors and a growing team of 25+ agents.
• Culture Building: Foster a high-performance, accountable, and inclusive environment that prioritizes professional growth and excellence.

QUALIFICATIONS

• Experience: 7+ years of progressive leadership in call center or customer support environments, specifically within service-based industries.
• Technical Acumen: Proven success implementing CRM, IVR, and Omnichannel platforms. Specific experience with AI/Machine Learning applications in a support context is highly preferred.
• Analytical Rigor: Advanced ability to interpret complex data sets and translate them into executive-level dashboards and actionable business intelligence.
• Education: Bachelor’s degree in Business or Operations required; MBA or relevant technical certifications are a plus.
• Presence: Ability to work 100% onsite in Sanford, FL, and lead with a high-energy, visible presence.

Why Join Us?

This role offers the rare opportunity to "own" the transformation of a massive operational footprint. You will have the resources of a $600M organization with the mandate to innovate and disrupt the status quo.

The Company is an Equal Opportunity Employer. Specific company details will be shared with qualified candidates during the initial screening process.

Our internal consulting agency is seeking a Senior Digital Analytics Implementation Specialist to join their team in an ongoing contract or full-time employment capacity if desired. 

Role Type: Senior Individual Contributor (Non Manager)
Team: Adobe Practice Operational Readiness & Optimization
Location: Flexible (U.S.) | Travel ~1020%
 

Role Overview
Were hiring a Senior Digital Analytics Implementation Specialist to serve as the hands on expert in Adobe Analytics (AA), Adobe Customer Journey Analytics (CJA), and Adobe Experience Platform (AEP). This role is focused on implementation excellence  configuring instrumentation, ensuring accurate data capture, preparing AEP datasets for analysis, and building CJA data views and dashboards that deliver reliable insights.
This role supports the end to end analytics foundation across Adobe Analytics CJA AEP, ensuring data is modeled, stitched, joined, and validated so downstream solutions work reliably.
 

Key Responsibilities
Implementation Leadership Adobe Launch, AEP Web SDK, Tagging
"    Lead Adobe Launch (Tags) and AEP Web SDK/Edge Network implementations, including tagging configuration, event mapping, and QA across environments.
"    Develop and maintain data layer specifications, event taxonomies, tracking patterns, and documentation frameworks.
"    Write and maintain Solution Design References (SDRs) capturing event-level instrumentation.
"    Conduct detailed instrumentation QA, validating accuracy, identity behavior, and end-to-end data integrity.
Adobe Analytics Configuration & Migration Support
"    Configure Adobe Analytics variables (events, props, eVars) to support clean ingestion and alignment with AEP datasets.
"    Audit existing Adobe Analytics setups and support transition toward CJA based analysis.
"    Ensure Adobe Analytics event structures align to XDM expectations and AEP stitching requirements.
AEP Data Modeling & Dataset Preparation
"    Contribute to AEP XDM schema definition, identity namespace setup, and dataset configuration.
"    Validate dataset ingestion (batch & streaming), schema mapping, identity stitching, and join readiness.
"    Collaborate with engineering teams to ensure stable ingestion flows from SDK AEP CJA.
CJA Configuration, Joins & Dashboarding
"    Set up and maintain CJA Connections across AEP datasets.
"    Configure Data Views, including joins, identity mapping, component governance, calculated metrics, and filters.
"    Build CJA Workspace dashboards for lifecycle reporting, funnel analysis, product insights, and operational visibility.
"    Apply consistent naming, structuring, and governance patterns for scalable reporting.
Cross-Solution Alignment
"    Ensure tracking and dataset structures support downstream segmentation, activation, and journey measurement use cases.
"    Partner with internal solution leads across data, workflow, content, and activation to ensure end to end data integrity.
"    Provide clarity on how instrumentation decisions impact cross-platform behavior in AEP and CJA.
 

Required Qualifications
"    Active Adobe Certification(s) in Adobe Analytics and/or Adobe Customer Journey Analytics (CJA), at Professional or Expert level.
"    Strong hands-on experience implementing:
o    Adobe Launch (Tags)
o    AEP Web SDK / Edge Network
o    Data layers and event instrumentation
o    Adobe Analytics variable/event design
o    CJA Connections, Data Views, identity joins, and derived fields
"    58+ years of digital analytics implementation or instrumentation experience.
"    Experience with AEP XDM schemas, datasets, identity graphs, and ingestion validation.
"    Proficiency writing SDRs, tracking requirements, and data-layer specifications.
"    Experience building CJA dashboards, funnels, cohort analyses, and cross-channel insights.
 

Preferred Qualifications
"    Experience with server-side tagging and event forwarding.
"    Familiarity with AJO measurement needs and journey data flows.
"    Experience with cloud data platforms (Snowflake, BigQuery, Synapse).
"    Exposure to lifecycle marketing analytics, experimentation, or Adobe Target.

What Success Looks Like
"    Accurate, reliable tracking captured through Launch and Web SDK.
"    Clean, well structured AEP datasets that stitch and join correctly inside CJA.
"    Dashboards and insights that reflect consistent, trusted data.
"    Smooth, stable AA CJA AEP workflows enabling dependable reporting and analysis.
"    Solid alignment with solution leads ensuring data supports activation, journey design, and content workflows.

In this position, you may have access to client or customer systems, confidential and/or proprietary information or data.

Benefits

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Saturday, Mar 28, 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 a Professional Researcher 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 researcher will conduct independent research at a level comparable to the Professor series.

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.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).

*Expertise in programming in C/C++, MATLAB, Bash.

*Expertise in databases, data infrastructure, data governance.

*Expertise in high performance computing using SLURM or LSF.

*Experience with PyTorch, JAX, or Tensorflow.

*Experience with NVIDIA CUDA and related OpenMP programming.

*Experience with cloud services (AWS, GCP, Azure, etc.).

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).

*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.

*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.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

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

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 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
  

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• Photo & Video Capture and Imaging Data Management
  
• Capture high-quality photos and videos using camera devices (primarily smartphone cameras) in both lab environments and real-world scenarios.
  
• Execute image and video analysis tools to evaluate camera performance and generate quantitative and qualitative results.
  
• Manage and maintain imaging databases across multiple Image Quality (IQ) domains, including: Texture and Noise, Color Accuracy, HDR, Exposure, Zoom, Bokeh, Video Quality, Image, Stabilization
  
• Configure and operate Android devices using Android Debug Bridge (ADB) for camera testing and data capture.
  
• Organize captured data through structured folder systems and naming conventions to support multi-device testing workflows.
  

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• Maintain and operate Camera Image Quality evaluation labs located at San Diego campus.
  
• Ensure the lab environment is properly configured for camera testing and data collection.
  
• Support camera engineering teams by maintaining testing equipment, scenes, and workflows.
  

• 
  
• Develop and enhance Python-based tools for image quality analysis and evaluation.
  
• Assist in developing evaluation protocols for camera IQ metrics, including texture, color, HDR, exposure, zoom, and video stabilization.
  
• Support development of test scenarios for both lab setups and real-world capture conditions.
  
• Work with tools such as FFmpeg for video analysis and processing.
  
• Assist in building and organizing image/video datasets for machine learning training, including data annotation and labeling.
  

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• Bachelor's degree in Engineering (Electrical Engineering, Computer Engineering, Computer Science, or related field).
  
• Strong interest in camera imaging, photography, or image quality evaluation.
  
• Basic knowledge of Python programming.
  
• Ability to manage large datasets and organize technical data efficiently.
  

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• Experience with image or video processing tools.
  
• Familiarity with Android Debug Bridge (ADB).
  
• Knowledge of MATLAB, Python scripting, or FFmpeg.
  
• Exposure to computer vision, image quality analysis, or camera testing.
  
• Understanding of image datasets used in machine learning workflows.
  

Role : Technical Product Manager ( Data Analytics )

Location - Austin, TX (Onsite) - only Local to Texas (other states don't apply)

Exp Req : 10+

Rate : $55/Hr on W2 Max

Skills Mandatory :

1, Marketing Data Analysis knowledge.

2, KPI and metrics definition on Marketing Data. Mainly for media product.

3, Instrumentation knowledge and through process.

Original JD:

• Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
• Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
• Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
• You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
• Excellent communication, social, and presentation skills with meticulous attention to detail.
• Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
• Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.

Job Description :

• Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
• Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
• Closely partner with our Data Science team to define metrics, datasets, and automation strategy
• Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
• Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
• Education Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management

Key Qualifications :

• Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
• Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
• Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
• Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
• Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.

Nice to have :

• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)

Description :

• Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.

Stephen

Lead Talent Acquisition Specialist

Email :

Clinical Data Scientist

Redwood City, CA (Hybrid potentially remote options)

Salary: $150,000-$190,000

No Sponsorship Available

About the Role

We are seeking a Clinical Data Scientist to play a pivotal role in transforming complex clinical datasets into high‑quality, analysis‑ready outputs used to support clinical trials and real‑world evidence initiatives.

In this role, you will operate at the intersection of data science, clinical research, and statistical programming. You’ll be responsible for validating, cleaning, and structuring data originating from multiple sources—including expert manual abstraction teams, AI‑assisted pipelines, EMR feeds, and EDC systems.

You’ll collaborate closely with Clinical Operations, Data Engineering, and AI/ML teams to ensure accuracy, traceability, and compliance across every dataset delivered internally or externally.

This role is ideal for someone who is detail‑obsessed, technically versatile, and passionate about elevating the quality of clinical data used in drug development.

What You’ll Do

• Convert raw, manually abstracted, and AI‑processed datasets into standardized formats (e.g., CDISC SDTM/ADaM) or client‑specific data models.
• Ensure outputs meet quality, compliance, and traceability standards.
• Generate TLFs (Tables, Listings, Figures) for clinical reports and interim analyses using SAS, R, or Python.
• Perform robust data cleaning and QC checks.
• Investigate anomalies and troubleshoot issues across the data pipeline.
• Distinguish between upstream extraction issues and true clinical variations.
• Partner with Data Platform and AI teams to automate cleaning scripts, validations, and workflow logic.
• Serve as an early user and feedback partner for internal data tools.
• Maintain documentation for data derivations, specifications, and validation logic (e.g., Define.xml, Reviewers Guides).
• Support compliance and regulatory submission needs.
• Complete internal and external analysis requests to support clinical insights, client value, and platform performance.
• Apply HIPAA-aligned data safeguards and adhere to best practices across privacy, security, and data governance.

What You Bring

• Education:
• BSc/MSc in Statistics, Mathematics, Computer Science, Life Sciences, or related field.
• Experience:
• 2–5+ years in clinical data science, statistical programming, or data management in pharma/biotech.
• Technical Strengths:
• SAS, R, Python, SQL
• Experience with Git/version control preferred
• Industry Knowledge:
• Familiarity with clinical trial workflows
• Strong understanding of CDISC SDTM/ADaM
• Oncology endpoints (RECIST, survival) and RWD experience is a plus
• Data Wrangling:
• Comfort “stitching together” messy, real‑world clinical datasets
• Experience with unstructured text or NLP outputs is desirable
• Soft Skills:
• Exceptional attention to detail
• Clear, structured communicator
• Proactive, self‑directed, collaborative

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• Manage recurring data operations and reporting: pull data from multiple sources, maintain clean datasets, analyze trends, and deliver weekly or monthly dashboards and readouts in Sheets and Slides
  
• Administer surveys end-to-end (SurveyMonkey, Qualtrics, or similar): build and QA, manage response data, analyze results, and package findings into clear reports and decks
  
• Maintain people operations datasets, including hiring-related tracking and weekly roster updates, ensuring strong data integrity and consistent formatting
  
• Support onboarding administration, including LMS completion reporting, overdue follow-up tracking, and course assignment administration
  
• Build and iterate Tableau dashboards to replace or augment recurring reports, improving self-serve access to metrics and insights
  
• Streamline repeatable work using automation and AI (for example: faster data cleanup, report drafting, and workflow simplification)
  
• Support ad-hoc operational requests as needed (quick analyses, dashboard iteration, Google Sheets troubleshooting, and documentation updates)
  

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• Strong experience with data operations and reporting: pulling data from multiple sources, cleaning and reconciling datasets, analyzing trends, and producing clear recurring reporting
  
• Proficiency in building and maintaining Tableau dashboards (defining metrics, creating views, iterating based on stakeholder feedback)
  
• Advanced Google Sheets skills (dashboards, pivot tables, complex formulas, and scripts) and comfort presenting outputs in Google Slides
  
• Experience administering surveys (SurveyMonkey, Qualtrics, or similar), including survey setup, response management, and results analysis
  
• Experience with administrative operations that require precision and follow-through (tracking, audits, recurring updates, and systems hygiene)
  
• Comfort with LMS administration and reporting (completion reports, tracking overdue items, course assignments)
  
• Experience leveraging AI tools to accelerate analysis and streamline repeatable work; with automation + agent experience (Apps Script, Zapier, Make)
  
• Proven ability to handle sensitive and confidential information with discretion
  
• Ability to navigate ambiguity and shifting priorities, respond well to ad hoc requests, and keep stakeholders informed with clear status updates
  
• Proven ability to work independently with minimal oversight in a remote environment
  
• Availability requirement: able to consistently work 5+ hours on Mondays; remaining hours are flexible within a 10-15 hours per week schedule