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ShanX Medtech BV (SXM NL) is a dynamic young company dedicated to revolutionizing healthcare through innovative diagnostic tools. Our journey began with a deeply personal experiencethe founders mothers nearfatal struggle with a poorly treated bacterial infection. This ignited our mission to transform infection management propelling us to develop pioneering solutions that prevent unnecessary suffering.
At SXM impact is paramount. Were proud to introduce KAIROS IVD our groundbreaking rapid antibiotic susceptibility testing device poised to redefine how bacterial infections are treated. Our goal is clear: to equip healthcare professionals with the means to make informed treatment decisions swiftly and accurately. Through our innovative solutions were combating antibiotic resistance enhancing patient outcomes and saving lives.
As a (Data) Scientist at SXM you will be responsible for the generation and development of new data analysis tools and algorithms. The role of the (Data) Scientist is pivotal in leveraging datadriven approaches to inform and accelerate diagnostic product development ultimately leading to improved patient outcomes and healthcare delivery.
This is a parttime contract for 32 hours per week extending over three years with the possibility of extension and potential for an increased work week.
Your responsibilities include but are not limited to:
Conducting R&D: Contribution to the generation of relevant data that will be
used as an input to (training of) algorithms.
Data Analysis: Leading the analysis of large and complex datasets including
clinical data and reference data generated from diagnostic assays. Applying
statistical (e.g. PCA) and machine learning techniques to extract insights identify
patterns and uncover relationships that inform diagnostic product development.
Algorithm Development: Training developing and refining algorithms and
models for data analysis interpretation and predictive analytics. This may
involve designing algorithms for diagnosis and more risk prediction or treatment
response prediction to support diagnostic assay development but also
implementation in application software.
Feature Engineering: Identifying and engineering relevant features from raw data
to enhance the performance and accuracy of (predictive) models. This includes
preprocessing data selecting informative features and optimizing feature
representations for improved model performance.
Model Validation: Validating (predictive) models and algorithms using
appropriate validation techniques including crossvalidation bootstrapping and
holdout validation. Assessing model performance metrics such as accuracy
sensitivity specificity and area under the curve (AUC) to evaluate predictive
performance.
Data Visualization: Creating clear and informative data visualizations including
plots charts and graphs to communicate results and insights effectively to
stakeholders. Visualizing complex data structures and relationships to facilitate
understanding and decisionmaking.
Continuous Learning: Staying abreast of advances in data science methodologies
techniques and tools relevant to invitro diagnostics. Actively participating in
professional development activities such as training programs conferences and
workshops to enhance skills and knowledge.
Masters degree in data science Computer Science Statistics Bioinformatics Biomedical Engineering or a related discipline.
2 years experience in a similar function
Proficiency in programming languages commonly used in data science such as Python R or SQL. The ability to write efficient code for data manipulation analysis and modeling is necessary.
Familiarity with data management and preprocessing techniques including data cleaning transformation and normalization.
Machine Learning: Basic understanding of machine learning concepts and algorithms including supervised and unsupervised learning classification regression clustering and dimensionality reduction.
Ability to create clear and informative data visualizations using tools like Matplotlib Seaborn or ggplot2. Proficiency in conveying complex data insights through charts graphs and dashboards is important.
Fluency in English.
Openness to learn about performing experimental work in a laboratory environment and with bacteria.
Transferring algorithms and communication to professional application software developers. Maintain algorithm integrity/performance.
Experience with machine learning libraries such as scikitlearn or TensorFlow is beneficial.
Experience with handling largescale datasets and databases is advantageous.
Domain Knowledge: Familiarity with the fundamentals of invitro diagnostics including knowledge of biomarkers assay technologies and clinical applications. Understanding basic microbiology and medical terminology is advantageous.
Good communication skills to nontechnical stakeholders
A passion for working in a young company environment.
Competitive compensation and benefits package
Access to professional development opportunities for career growth and advancement including training resources.
Flexible schedule and work arrangements
Dynamic and collaborative work environment
Join us in shaping the future of healthcare where every moment is vital in the fight against bacterial infections. Were seeking a motivated (Data) Scientist to join our team and contribute to the development of this crucial diagnostic device. This is an exceptional opportunity to join us in our early stages and play a pivotal role in our future success.
Full Time