Charting the Future of Healthcare: Join Us as a Senior Data Scientist and Transform Data into Valuable Insights!

Sqilline is actively seeking talented professionals for our dynamic Healthcare Data Science team. This is your chance to make a significant impact in the advancement of Large Language Models (LLMs), Natural Language Processing, and Machine Learning Algorithms. Take the first step and apply today!

Company Description

Sqilline is a health-tech company that leverages real-world data and artificial intelligence technology for faster R&D in medicine and improved patient access and outcomes.

The company’s success is centred on its Danny Platform and Clinical Research Services.

Danny Platform is able to evaluate massive amounts of real-world data from multiple sources (EHRs, registries, labs, etc.) in the oncology and cardiology fields. The software provides comprehensive searches, in-depth analyses, predictions and treatment solutions to physicians, researchers and payers.

Role Description

This is a full-time on-site role for a DATA SCIENTIST. The Data Scientist will be responsible for day-to-day tasks such as collecting and analyzing large datasets, building statistical models, creating data visualizations and reports. The Data Scientist will also be responsible for collaborating with cross-functional teams to identify and solve business problems using data-driven insights and recommendations.

As a member of our company, you will be part of a small, agile and innovation-driven team, working with current healthcare technologies.

Data Scientist Qualifications

  • Expert knowledge of programming languages python and/or R. Knowledge of Java is a plus
  • Strong background in multivariate statistics, multivariable calculus, linear algebra
  • Experience with processing large amounts of structured and unstructured data of heterogenous sources (data collection, normalization, missing data imputation, etc.) and exploratory analyses
  • Knowledge of machine learning algorithms (regression-based models, random forests, Naïve Bayes, LSTMs, CNNs, etc.) and techniques (regularization, hyperparameter tuning, etc.
  • Experience with programming frameworks for machine learning/deep learning (Scikit Learn, TensorFlow, keras, etc.)
  • Experience with cloud services (Google Cloud, AWS, or Azure)
  • Experience with data visualization tools/packages (Tableau, Spotfire, etc.)
  • Experience in working with big data tools/platforms (Hadoop, Spark, etc.)
  • Knowledge of SAP HANA and/or natural language processing are pluses
  • Highly proficient, fluent in spoken and written English


  • Degree in statistics, mathematics, computer science, engineering, economics, and/or other quantitative fields. MS or advanced degree
  • 3+ years of practical experience in data science/data mining/statistical analyses
  • Experience in working with clinical/healthcare data and clinical analyses, or prior experience in the pharmaceutical/healthcare industry is a plus
  • Excellent interpersonal and communication skills and have worked in multi-disciplinary teams
  • Strong problem-solving skills


  • Identify anomalies and data quality issues
  • Build and improve pipelines for data extraction, normalization, and other preprocessing methods to ensure high quality of processed data
  • Perform exploratory data analyses and identify patterns/trends to gain better understanding of clinical data
  • Develop machine learning predictive models
  • Document and present findings on data analyses and results
  • Build data/analytics tools with the software development team for production

We offer

  • Challenging work in a dynamic organization
  • Full time position
  • Attractive remuneration package
  • Friendly and supportive team environment
  • Social Package

To apply for the Senior Data Scientist position, please submit your resume, cover letter and interest in the role to


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