プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Maika L.に依頼

Denmark

Data Scientist & Biologist | Expert in Healthcare Analytics, Python & Patient Data

プロフィール概要

I am a Data Scientist with a background in Biology and 7 years of experience in the corporate healthcare sector. I specialize in bridging the gap between complex biological data and actionable business insights. My strength lies in translating data: I help research teams, clinicians, and health-tech companies analyze their data without losing the scientific context. Core Services: - Statistical Analysis & Visualization: (Python/R) for clinical or biological datasets. - Health Data Processing: Cleaning and structuring messy patient/biological data. - Scientific Consulting: Literature reviews and experimental design reviews. - Tool Building: Creating automated scripts to save your team hours of manual work. Why work with me? Unlike a generalist data scientist, I understand the biology behind your numbers. I deliver clean code, clear reports, and actionable insights. I am used to working with sensitive data (GDPR/HIPAA awareness). Availability: I work remotely and am available for both short-term analysis projects and longer-term consulting.

専門分野

• ☆ Computational Biology
• ☆ Biostatistics
• ☆ Mathematical Biology
• ☆ Biochemistry
• ☆ Molecular Biology
• ☆ Biomarkers
• ☆ Neuroscience
• ☆ Neurophysiology
• ☆ Behavioral Neuroscience
• ☆ Computational Neuroscience
• ☆ Cognitive Neuroscience
• ☆ Neuropsychology
• ☆ Developmental Neuroscience
• ☆ Neurobiology
• ☆ Biotechnology & Bioengineering
• ☆ Biomedical Engineering
• ☆ Biological Engineering
• ☆ Information Technology
• ☆ Database Management
• ☆ Remote Sensing
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Social Network Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Collection
• ☆ Data Management
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Text Mining & Analytics
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Natural Language Processing
• ☆ Data Architecture
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Business Analytics
• ☆ Financial Modeling
• ☆ Statistics
• ☆ Statistical Theory
• ☆ Applied Statistics
• ☆ Social Statistics
• ☆ Meta-Analysis
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Bayesian Statistics
• ☆ Correlation Analysis
• ☆ Statistical Computing
• ☆ Mathematical Statistics
• ☆ Study Design
• ☆ Statistical Review
• ☆ Medical Statistics
• ☆ Health Data Analysis
• ☆ Trend Analysis
• ☆ Bioinformatics
• ☆ Systems Biology
• ☆ Applied Mathematics
• ☆ Mathematical Models
• ☆ Mathematical Optimization
• ☆ Computational Sciences
• ☆ Biomarker Discovery
• ☆ Biosensors
• ☆ Circadian Rhythm Research
• ☆ Sports Science
• ☆ Exercise Physiology
• ☆ Human Behavior & Psychology
• ☆ Cognitive Science
• ☆ Clinical Psychology
• ☆ Health Psychology
• ☆ Python
• ☆ R
• ☆ Drug Development
• ☆ Drug-Drug Interactions
• ☆ Preclinical Research
• ☆ Medical Devices
• ☆ Post-Market Surveillance
• ☆ Medical Device Development
• ☆ Medical Device Validation
• ☆ Medical Device Design
• ☆ Wearable Technology
• ☆ Medical Device Regulatory Consulting
• ☆ European Medical Device Regulation (MDR)
• ☆ ISO 13485
• ☆ ISO 14971
• ☆ Neurology
• ☆ Epilepsy & Seizures
• ☆ Clinical Neurophysiology
• ☆ Movement Disorders
• ☆ Alzheimer's Disease
• ☆ Autism Spectrum Disorders
• ☆ Preventive Medicine
• ☆ Women's Health
• ☆ Precision Medicine
• ☆ Endocrinology
• ☆ Diabetes
• ☆ Cardiovascular Disease
• ☆ Pacemakers
• ☆ Public Health
• ☆ Epidemiology
• ☆ Health Technology Assessment
• ☆ E-Health & Telemedicine
• ☆ Counseling & Mental Health Support
• ☆ Drug Addiction Treatment
• ☆ Addiction & Recovery Counseling
• ☆ Eating Disorders
• ☆ Body Image
• ☆ Stress Management
• ☆ Depression
• ☆ ADHD
• ☆ Psychiatry
• ☆ Addiction Psychiatry
• ☆ Cognitive Behavioral Therapy
• ☆ Complementary & Alternative Medicine
• ☆ Meditation
• ☆ Pregnancy & Childbirth
• ☆ Biofeedback
• ☆ Metabolism & Metabolic Disease
• ☆ Product Validation
• ☆ Software Development
• ☆ Software QA & Testing
• ☆ Mobile Application Development
• ☆ Web Application Development
• ☆ DevOps
• ☆ Hypothesis
• ☆ Peer Review
• ☆ Feasibility Studies
• ☆ Regulatory Writing
• ☆ Medical Device Regulatory Writing
• ☆ Medical Device Literature Reviews
• ☆ Premarket Notification/510(k) Submission
• ☆ Clinical Trial Documentation
• ☆ Clinical Trial Protocol Writing
• ☆ Clinical Study Reports
• ☆ Medical Writing
• ☆ Medical Content Writing
• ☆ Healthcare Communications
• ☆ Patient Education Materials
• ☆ Research Summaries & Abstracts
• ☆ Technical & Scientific Writing
• ☆ Manuscript & Journal Article Writing
• ☆ SOP & Protocol Writing
• ☆ Literature Review
• ☆ Traditional/Narrative Literature Review
• ☆ Systematic Literature Review
• ☆ Proofreading & Editing
• ☆ Language Translation
• ☆ Creative Writing
• ☆ Mathematical Finance
• ☆ Business Statistics
• ☆ Entrepreneurship
• ☆ Consumer Behavior & Theory
• ☆ Digital Marketing
• ☆ Risk Management
• ☆ Banking
• ☆ Management Consulting

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Clinical Trial Documentation, Medical Writing, Non-Medical Regulatory Writing, Technical Writing, Creative Writing, Translation

Research Market Research, User Research, Meta-Research, Feasibility Study, Fact Checking, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Business Strategy Consulting, Digital Strategy Consulting, Healthcare Consulting, Financial Consulting, Regulatory Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

Senior Data Scientist

Novo Nordisk

6月 2024 - 現在

Data Scientist

Novo Nordisk (Denmark)

4月 2019 - 現在

学歴

MSc Mathematical Modelling and Computation

Technical University of Denmark

9月 2019 - 1月 2022

認定資格

• 認定資格の詳細は未入力です。

出版物

PREPRINT

Maika Lindkvist Jensen, Sirin W. Gangstad, Anne-Marie Raabyemagle, Akasha P. Strub, Monica Jane Emerson, Jon Davis, Anne Raben, Lena-Sophie Martis (2025). Assessing Heart Rate Variability Responses to Food Cues and Cognitive Stress: A Comparative Study of a Wearable Device and ECG .