• Develop and improve pipelines for collecting, cleaning, processing, and analyzing client ticketing data for analysis and model building. • Build and improve scalable machine learning pipelines, feature engineering, etc. • Create innovative and clear data visualizations. • Reports back on findings and technical decisions to subject matter experts, stakeholders and clients. • Identify areas of improvement and new use cases of our pricing model. • Will show drive and initiative to push the core product and technology forward. • Collaborate with a cross-cutting team of executives, product managers, clients, software engineers, and data scientists.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role can be remote or based out of our Philadelphia, PA headquarters. The Director, Clinical Scientist plays a key role in supporting the clinical development of the company’s CAR-T cell therapy programs in autoimmune diseases. This individual contributes to the scientific and clinical integrity of trials from early proof-of-concept through late-stage pivotal studies, working closely with Clinical Operations, Translational Medicine, Regulatory, and Biostatistics to help ensure high-quality data and alignment toward a successful BLA submission. They serve as an important scientific link between discovery and clinical execution, bringing expertise in autoimmune diseases, cell therapy, and clinical trial design to support the advancement of transformative therapies for patients. - Serve as a key clinical science contributor for assigned CAR-T programs, partnering with the Medical Director and other Clinical Development team members to support study design, execution, and interpretation across all phases of clinical development. - Lead or contribute to the preparation of key clinical documents — including protocols, amendments, informed consent forms, investigator brochures, clinical study reports, and regulatory submissions (e.g., INDs, CTAs, DSURs, BLAs/MAAs). - Review, analyze, and interpret emerging clinical data (safety, efficacy, PK/PD) to identify trends and issues, ensuring timely resolution through cross-functional collaboration. - Conduct literature and competitive landscape reviews to inform study design, data interpretation, and program strategy. - Provide ongoing data review to ensure study conduct aligns with protocol, patient safety standards, and data integrity expectations. - Collaborate with the Medical Monitor to ensure awareness of key safety and efficacy findings, supporting SAE review, narrative development, and safety governance activities. - Lead or support governance activities, including preparation and presentation of materials for Development, Executive, and Scientific Steering Committees, as well as oversight of external boards (e.g., DSMB, adjudication committees). - Contribute to and present scientific and clinical data internally and externally (e.g., investigator meetings, scientific conferences, regulatory interactions). - Serve as the clinical science representative on cross-functional development and study teams, providing scientific and strategic input to ensure cohesive execution. - Mentor study team members and contribute to vendor oversight to ensure consistency, quality, and scientific rigor across all clinical deliverables. - Maintain awareness of emerging scientific and regulatory trends in cell and gene therapy and autoimmune diseases to integrate innovations into development strategy. - Other related duties, as assigned. Qualifications - Advanced degree (MS, Ph.D., Pharm.D., M.D., or equivalent) in a relevant scientific discipline preferred. - 4-5+ years of clinical development experience within biotech, pharmaceutical, or academic settings, with demonstrated leadership in advancing programs through early and late-stage development. - Cell and gene therapy experience—particularly in CAR-T or T-cell–based modalities—strongly preferred; autoimmune disease experience highly desirable. - Deep understanding of T-cell biology, immunology, and translational science principles relevant to cellular therapy. - Proven ability to author and critically review clinical protocols, study reports, and regulatory documents, ensuring scientific integrity and compliance with ICH-GCP and global regulatory standards. - Demonstrated skill in analyzing complex clinical data, conducting literature reviews, and synthesizing insights to inform program strategy. - Exceptional scientific judgment, attention to detail, and analytical rigor. - Strong communication and collaboration skills, with the ability to influence and partner effectively across cross-functional teams, investigators, and external experts. - Highly organized with the ability to manage multiple priorities in a fast-paced, evolving environment. Benefits - Competitive benefits - PTO - Stock option plans Company Description Cabaletta Bio (Nasdaq: CABA) is a clinical-stage biotechnology company focused on developing and launching the first curative targeted cell therapies designed specifically for patients with autoimmune diseases. The CABA™ platform encompasses two complementary strategies which aim to advance the discovery and development of engineered T cell therapies with the potential to become deep and durable, perhaps curative, treatments for a broad range of autoimmune diseases. Our name – Cabaletta – is derived from the operatic term that represents a rapid, repetitive, and technically challenging section of an operatic aria, designed to showcase the skills of the lead singer. Analogously, Cabaletta Bio strives to achieve rapid and repetitive product development, building on our indication prioritization and biologic platform that targets the driver of specific autoimmune diseases without the need for long-term immunosuppression.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking for a Data Science Engineer to join our Revenue Intelligence team at Veeam Software. This role is ideal for someone who thrives in a fast-paced environment, enjoys building scalable data solutions, and is passionate about driving business impact through analytics, machine learning, and AI. - Design and implement data science, ML, and AI solutions to support strategic decision-making. - Conduct deep-dive ad hoc analyses—both quantitative and qualitative—to inform business hypotheses and guide improvements. - Contribute to cross-functional projects involving data science, ML, and AI use cases. - Collaborate with Data Quality and Data Warehouse teams to reconcile data discrepancies and integrate new data sources. - Support data analysis needs for QBRs, Summits, and All Hands meetings. - Help develop and refine processes to ensure business solutions align with strategic goals. - Partner with stakeholders to deliver actionable insights and recommendations. - Continuously improve existing processes and identify opportunities for efficiency gains. Qualifications - Minimum 5+ years of professional experience as a data scientist or similar role. - Bachelor’s Degree required (a combination of education and experience will be considered). - English Advanced. - Proficiency in Python and SQL. - Experience building scalable data science solutions (feature engineering, model training/testing, evaluation, deployment, ML operations). - Familiarity with data engineering concepts (data modeling, ETL/ELT, pipelines, storage optimization, governance). - Understanding of software development practices (version control, APIs, testing, deployment). - Experience integrating LLMs into code (prompt engineering, RAG systems, MCP). - Familiarity with data visualization tools (Tableau, Power BI, Qlik, or equivalent). - Strong problem-solving, communication, and analytical skills. - Technical writing experience. - Hands-on experience with Databricks or PySpark. - Familiarity with project management tools (Jira, Trello, Confluence). Requirements - Builder mindset—excited to create solutions from the ground up. - Ability to collaborate with both technical and non-technical stakeholders. - Strong organizational skills and proactive communication. - Proven success in managing abstract, cross-functional projects. - Analytical reasoning and data-driven problem-solving capabilities. - Ability to manage multiple priorities and meet tight deadlines. Benefits - 18 paid vacation days, plus three global VeeaMe Days for self-care and 24 volunteer hours annually. - Private medical coverage for you and up to four dependents. - Life, accident, and disability insurance with enhanced coverage. - Wellbeing allowance for physical and mental wellness. - Free confidential counselling and coaching via Employee Assistance Programme (EAP). - Meal, fuel, and transportation benefits based on work arrangement. - Daycare reimbursement and safe cab facility for eligible employees. - Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program.

Opportunity Overview Handshake is looking for skilled QGIS users to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with geographic information systems, spatial data analysis, or environmental mapping to evaluate AI-generated content and provide feedback that helps AI better understand GIS tasks and spatial data workflows. This is an ongoing, project-based opportunity you can take on alongside anything else you have going on. Who This Is For This is a good fit if you're an experienced QGIS user who has worked in or around roles like: - Spatial Data Scientist or GIS Analyst - Environmental Scientist or Conservation Ecologist - Urban Planner or Environmental Analyst You should have solid experience with one or more of the following: - Spatial analysis, environmental mapping, or geospatial data workflows using QGIS or ArcGIS - Remote sensing, urban planning data, or conservation mapping workflows - Annotating or labeling spatial datasets and geographic assets - Reviewing maps and spatial outputs for accuracy, data integrity, or scientific consistency What You'll Do You'll use your experience with QGIS to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world GIS and spatial data workflows. No prior AI or technical experience is required. Qualifications We're looking for people who have: - At least 3+ years of hands-on experience with QGIS, whether through professional work or freelance projects - A working knowledge of GIS concepts, spatial analysis, and geospatial data workflows - Strong written communication skills and attention to detail - The ability to work independently and follow written guidelines Application Process - Create a Handshake account - Upload your resume and verify your identity - Get matched and onboarded into relevant projects - Start working and earning Work Model and Project Details - Status: Independent contractor (not a full-time employee role) - Location: Fully remote; work from anywhere with a reliable internet connection and access to a desktop or laptop computer - Schedule: Flexible and asynchronous, with no minimum hour requirement. Many contributors work approximately 5–20 hours per week when assigned to an active project - Duration: The Handshake AI program runs year-round, with projects opening periodically across different areas of expertise. Placement depends on current project needs, with opportunities to be considered for future projects as they become available Work Authorization F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.