Sqilline is a technology and leading real-world data company in Central Easter
Europe. We provide high-quality solutions and expertise in the fields of Data
Analytics, Machine Learning (ML) / Natural Language Processing (NLP)
algorithms, and AI in Healthcare.
They have developed an Analytics Healthcare Platform for Real-World Data.
Danny Platform is able to evaluate massive amounts of real-world data from
multiple sources (electronic health records, registries, labs, etc.) in the oncology, rare
diseases, cardiology, hematology, neurology fields and others. The software provides
comprehensive searches, in-depth analyses, predictions and treatment solutions to
physicians, researchers and payers.
Sqilline’s data analytics capabilities enable hospitals, pharmaceutical companies and
reimbursement agencies to gain insight into real-world evidence of patient care,
particularly in this era of value-based care.
They are a leading company in the areas of Precision Medicine, Life Science and
Healthcare.
The company is looking for a candidate to fill up the Senior Data Scientist position.
They are looking for candidate with proven practical experience to help us develop and
manage our data science initiatives within Danny Platform and across a variety of
scientific projects that we collaborate on.
As a Senior Data Scientist, you will work as part of the data scientist team and will
communicate also with administrators, data analysts, data engineers and data
architects. You will also communicate with other IT personnel, software developers,
sales, and management. As a member of our company, you will be part of a small,
agile and innovation-driven team, working with current healthcare technologies. Senior Data Scientist Qualifications include:
• Practical experience of deep learning models (NLP, LLM, CNN) and
techniques (regularization, hyperparameter tuning, etc.) is a must.
• Classical machine learning algorithms (Regression-based models, random
forests, Naïve Bayes, etc.)
• 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
• Experience with programming frameworks for machine learning/deep learning
(PyTorch, Scikit Learn, TensorFlow, keras, etc.)
• Experience with data visualization tools/packages
• Experience with cloud services (Google Cloud, AWS, or Azure) is a plus
• Experience in working with big data tools/platforms (Hadoop, Spark, etc.) is a
plus
• Knowledge of SAP HANA
• Highly proficient, fluent in spoken and written English
Education/Experience
• Degree in statistics, mathematics, computer science, engineering, economics,
and/or other quantitative fields. MS or advanced degree preferred.
• 6+ 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
Responsibilities
• Develop NLP deep-learning predictive models (LLM)
• Build and improve pipelines for data extraction, normalization, and other
preprocessing methods to ensure high quality of processed data
• Identify anomalies and data quality issues
• Perform exploratory data analyses and identify patterns/trends to gain better
understanding of clinical data• 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