Research Data Scientist analyzing health data insights for Clue's research projects and collaborations. Collaborating with product teams and conducting statistical analyses to improve health and wellness.
Responsibilities
Support the Science Team in evaluating and scoping research projects and research collaborations, support statistical analyses (including tracked health data, app usage data, survey data) and report writing.
Support PR and marketing campaigns with health data insights to allow engaging storytelling and strengthen Clue’s content
Extract, prepare, and transmit datasets for academic research projects, working in close collaboration with other teams such as the Data and Legal Teams to ensure analysis, sharing, and archiving of data follow data sharing policies and regulatory requirements
Collaborate with the Product Team in conducting health-related data analyses as the foundation of data driven product features and conduct algorithm performance evaluations (including for post-market surveillance reports)
Support research collaborators in working with Clue data, including providing advice on feasibility of research projects, analyzing Clue data, and reviewing project methods and manuscripts
Requirements
MS, PhD preferred, with at least 2-3 years of experience working as a statistician/statistical programmer in clinical trials, medical and/or behavioural research, and/or digital/mobile health industry
Experience applying statistical models such as generalized linear models including mixed models, survival analysis, logistic regression
SQL query skills (including window functions and query optimization)
Strong working experience with data analysis, visualisation and statistics in Python and/or R and data-related libraries
Familiar with data management principles and regulatory requirements for medical research
Familiar with data anonymization techniques and GDPR aligned practices
Experience with survey design, implementation and analysis is a plus
Experience in communicating science and data-based insights to a lay audience and connecting those insights with business goals is a plus
Enjoys working in a cross functional team as part of a dynamic and fast moving environment
We recognise that strong candidates may not meet every requirement and encourage applications from those with strong scientific expertise.
Benefits
Paid time off: 27 days per year (+1 additional day for each year of employment, up to a maximum of 32 days)
Professional and Personal Development: Benefit from a dedicated development budget to enhance your skills and advance your career, supporting your journey of growth and learning.
Urban Sports Club Membership: Enjoy a heavily discounted membership with Urban Sports Club, giving you access to a wide range of fitness and wellness activities to support your health and well-being.
Inspiring Office Space: Work in our vibrant Berlin office, located in the heart of the city, where innovative ideas come to life, and meaningful work happens every day.
Flexible Hybrid Workplace: Enjoy the flexibility of working from home while also connecting with your team in the Clue office for weekly visits.
Data Scientist at Elevance Health developing predictive models for healthcare analytics and optimization. Collaborating to enhance member experiences with innovative solutions and AI techniques.
Data Scientist Summer Intern analyzing complex datasets to support analytics initiatives at Sprinklr. Collaborating with teams for data - driven decision making in a global SaaS company.
Data Science Intern developing and deploying reliability analytics & predictive models for PG&E's Electric Reliability Strategy at the Diablo Canyon Power Plant.
Data Scientist developing advanced data science models and anomaly detection techniques for utility operations. Leading cross - functional team efforts in enhancing electric transmission and distribution reliability.
Leads development of advanced data science models to enhance reliability of electric transmission and distribution grids for PG&E. Involves cross - functional collaboration and participation in industry advancements.
Data Scientist developing advanced data science models to enhance electric transmission and distribution grid reliability at PG&E. Collaborating with cross - functional teams to lead data science initiatives.
Data Scientist developing advanced data science models for PG&E's electric transmission reliability initiatives. Leading collaborative projects to enhance system performance and resiliency within the utility sector.
Senior Manager of Data Science leading a team of data scientists for high - growth digital commerce initiatives at URBN. Guiding intelligent decision - making across the product lifecycle with a focus on AI innovations.
Senior Data Scientist delivering end - to - end AI solutions at Seagate. Leading complex data science projects and partnering with research institutions for innovation.