Kate S.

UK-based doctoral-level researcher with over 17 years of experience working for the public and private sectors as a data-driven researcher. I am detail-orientated, organised, self-motivated, and capable of handling many work streams at once, and have demonstrated these skills through my project management experience and diverse research portfolio. My qualifications include a PhD in Sociology from the University of Sussex and a proven track record of delivering actionable insights to clients. Currently a part-time research associate with Symphony Talent (ST) and a Senior Research Associate for Clinigma. My main services include qualitative research design, implementation and strategy; Survey design; industry and market research and analysis; Internet research, white papers, articles and literature reviews. I am skilled in the use of NVivo, Atlas.ti, SurveyMonkey, Excel and other analysis software. See below for further research skills: Research skills: • Research and evaluation – moderation of in-depth interviews, focus groups and workshops. • Development of research materials: topic guides for in-depth interviews and focus groups. • Research on sensitive topics and with vulnerable groups - including those with disabilities, mental health conditions and participants of clinical trials. • Basic analysis of quantitative datasets; online surveys, postal and telephone surveys. Descriptive analysis using SPSS and other programs such as DisplayR for innovative visualisation of data sets. • Transcription services using the latest AI-enable software such as Otter.ai. • Survey development using SNAP, Qualtrics, Survey Monkey, Alchemer and other programmes as required. • Qualitative analysis including thematic, discourse, grounded theory and action research approaches. Use of Atlas, NVivo and Dedoose analytic software. • Synthesis and analysis – consultations, case studies, desk research, literature reviews, data analysis. • Giving presentations and workshops. • Dissemination and data visualisation using infographics and Tableau. • Engaging, communicative, adaptive and efficient. Adaptable, efficient, insightful and organised, with excellent communication skills. Ability to work both independently and collaboratively. • Tech-savvy and able to quickly learn and adapt to new programs and web platforms. • Familiar with the scholarly publishing landscape