Data Science/Machine Learning Engineer (ID 50122)

WE ARE

Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, Internet of Things (IoT), Data Science and experience design.

We are one of the best and oldest Data Science teams in Ukraine and you will get tons of experience working with the best talents in the field.

We are a Data Science Center of Excellence and you will have a chance to contribute to the wide range of projects from different areas and technologies. We're looking for you, a person who is inspired by data, analytics, and AI as we do, and who wants to grow with us!

YOU ARE

Data Scientist who will help us discover the information hidden in vast amounts of data and make smarter decisions to deliver even better products. Your primary focus will be to work on Data Science related problems for Healthcare business domains, implement and support predictive models, apply data mining techniques, provide analytical support in the pipeline of Machine Learning models productionalization process, communicate with the world-leading companies from our logos portfolio.

You should be strongly competent in Applied Statistical Data Analysis, competent in solving Data Mining and Machine Learning problems with application to the Predictive and Prescriptive analytics techniques and qualified in Deep Learning techniques application. You have in-depth knowledge of all mandatory technical and logical areas of the practice, understanding of all technical and logical areas of the practice and have their own researches and publications.

• An owner of Ph.D. or master in biomedical informatics, biostatistics, computer science, computational biology, genomics, genetics, or a related field
• Extensively knowledgeable and practically in statistical methodologies such as predictive modeling and inference, machine learning methods, mixed-effects models, multivariate analysis, etc.?
• Strong at developing deep learning (DL) architectures and familiarity with at least one DL library (e.g., Tensorflow, Theano, PyTorch, Caffe)
• The one who knows and is expertised in NLP and text mining
• Having advanced hands-on knowledge of R or Python or SAS?
• Familiar with relational databases (MySQL/Oracle/Postgres)?
• Having experience working in Cloud Computing environments (eg. AWS) is preferred?
• Understanding software development life cycles
• Demonstrating Upper-Intermediate English level or higher (oral/written)

Your extra power reveals in the following

• At least 2-year-experience in pharmaceutical/biotechnology /healthcare/academic environment?
• At least 2-year-experience in computational analysis of clinical data in observational healthcare studies using hospital-linked EMR/EHR data
• Expertise in genetics, genomics and proteomics data analysis, including raw data processing and modeling of processed/normalized data, and familiarity with various technological platforms?
• Experience analyzing data from traditional healthcare databases (electronic medical records, clinical trials, etc) is preferred
• Experience working with OHDSI OMOP tools?
• Proven experience in developing AI models for real-world environments and in integrating ML into large-scale production applications
• Development Tools (SVN, Git)

YOU WANT TO WORK WITH

• Developing statistical analysis protocols and providing analytical and methodological expertise on studies for both disease modeling and clinical trials
• Analyzing longitudinal time series data for characterizing disease trajectory, disease progression, medication adverse event episodes, drug resistance, and disease comorbidities
• Building predictive models for disease diagnosis and prognostics, developing predictive models from EMR, social-economical, and environmental data using machine learning and deep learning?
• Executing real-world data (RWD) analysis using EMR data, registry data, claims data, and publicly available data sources such as SEER
• Providing analytical and statistical support on research performed with billing, claims, wearable, EMR, clinical observational, and registry data?
• Performing analysis of various disparate data sources (e.g., EMRs, -omics, imaging), in order to determine their interrelation, and how best to integrate and leverage them for research and quality purposes
• Developing and applying Natural Language Processing (NLP) tools to extract meaningful knowledge from the free-text clinical notes
• Delivering rapid prototypes and proof of concepts that demonstrate real value
• Communicating results, technical constraints, and decisions to the business and non-specialists
• Creating and delivering progress reports, slide decks, proposals, and documentation

TOGETHER WE WILL

• Work with Top Data Scientists in the company
• Participate in international events
• Get certifications on cutting-edge technologies
• Have the ability to work with the latest modern tools and technologies on different projects
• Have access to strong educational and mentorship programs
• Communicate with the world-leading companies from our logos portfolio
• Work as a consultant on different projects with a flexible schedule