**MKP -DATA SCIENTIST (MIMARK)

This offer is part of the Job Market Place of Talent in face-to-face format organized by Barcelona Activa in the CONNECTION DAY (Bio & HealthTech) in collaboration with the Cluster CataloniaBio & Health Tech on Tuesday May 7 from 15h to 17:30h. The company MIMARK DIAGNOSTIC needs to fill vacancy of: DATA SCIENTIST Only people who meet the requirements requested by the company will be notified. Attendance and details will be confirmed via email. Once shortlisted you will be required to be available for the Talent Market Place: Tuesday 7th May (afternoon). From 15h to 17:30 h. Functions and tasks MiMARK is an In Vitro Diagnostic (IVD) spin off company from Vall Hebron Research Institute (VHIR) created in 2021 and focused on improving Women’s Health. Specialized in the development and validation of clinically impactful biomarkers in gynecological fluids to provide innovative diagnostics across gynecology indications. In MiMARK envision these fluids as the next liquid biopsy in the gynecological arena to provide easy to access and reliable diagnostics. Their first product, WomEC, is an IVD immunoassay-based technology which includes biomarkers and algorithm for a high-efficiency diagnosis of endometrial cancer. Our product is currently in prototype development, and we aim to start clinical validation phases by 2024. This company is growing in portfolio, including development of an IVD for Endometriosis diagnosis. Data Scientist who will help to drive data scientist activities within MIMARK, with a special focus on data analysis and design and validation of algorithms. In addition, the candidate will be responsible for data management processes and coordinate the development of software tools. The perfect candidate is a geek in data science who has a mathematics/statistical/data processing and/or closely related background with experience in bioinformatics, biomarker research and algorithm development, and eventually competent in artificial intelligence (AI); preferably with experience on working with clinical and molecular data. It's a unique opportunity to work with a multidisciplinary and highly passionate and committed team to bolster the know-how of the company and achieve the next step for gynecological diagnostics. Responsibilities E xecute biomarker and clinical research using multiomic and clinical data: seeking for novel biomarkers, integration of multiomics, elucidating altered molecular pathways of the disease, etc. • Design and validation of algorithms, from linear regression to machine learning methods; and eventually AI. • Interpreting results, discussion with team members and reporting. • Responsible for providing statistical experimental design and analysis, in all phases of product development, including clinical trials. March 2024 • Knowhow in data analysis, structuring, database development and data management. • Provide general data management to the project, as well as data quality checks and regular verifications. • Coordinate the design and development, testing, validation and maintenance of software tools. Benefits We would like you to profit from joining a team of talented people that share the passion to develop minimally invasive diagnostics based on gynecological fluids to improve women health. We would like to offer you: • Full-time job. • Great location in Barcelona. Remote working can be considered. • Entrepreneurial environment and great team! • Development of your professional career within an expanding StartUp. Salary: 35.000€ - 45.000€ salary According to value Requirements • Ph.D. or master’s degree in Computer science, Mathematics, Statistics or a closely related field. • Experience in bioinformatics and biomarker research. • Understanding of Mathematical modelling, including logistic regression and more complex models, such as Machine Learning, Deep Learning, NLP, AI, and their application to resolving intricate challenges. • Programming skills in R and Python frameworks. • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. • Advanced level of English. • Strong communication and presentation skills, including translation of complex concepts in clear, concise, and meaningful ways, that a non-technical audience can easily understand. • Organized, proactive, and committed. We will value • Experience in working with clinical and proteomic data. • Having worked in an ISO quality environment and/or biotech/pharma industry environment. • Understanding of the software development lifecycle; complying with IVD standards.