Position: Senior Data Science Engineer (Healthcare)
Company: SoftServe
Category: Data Science
Experience required: 3y
English level: upper
Published: 2020-11-01T00:00:00+02:00

**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 inspired by data, analytics, and AI as we do, and who wants to grow with us!

**YOU ARE**

Demonstrating proficient experience in:

• PhD, or Master in biomedical informatics, biostatistics, computer science, computational biology, genomics, genetics, or a related field
• Statistical methodologies such as predictive modeling and inference, machine learning methods, mixed-effects models, multivariate analysis, etc.
• Advanced hands-on knowledge of  R or Python or SAS
• Working knowledge of relational databases (MySQL/Oracle/Postgres)
• Ability to work with structured and unstructured data
• Cloud Computing environments (e.g. AWS) is preferred
• Understanding of software development life cycles
• Upper-Intermediate English level or higher (oral/written)

Your big advantages reveal in such expertise as:

•Minimum 2 years in pharmaceutical/ biotechnology/healthcare/academia environment
•At least 2 years in computational analysis of clinical data in observational healthcare studies using hospital-linked EMR/EHR data
Genetic, genomic and proteomics data analysis, including raw data processing and modeling of processed/normalized data, and familiarity with various technological platforms.
• Analyzing data from traditional healthcare databases (electronic medical records, clinical trials, etc.) is preferred
• Developing deep learning (DL) architectures and familiarity with at least one DL library (e.g., Tensorflow, Theano, PyTorch, Caffe)
• NLP and text mining
• OHDSI OMOP tools
• 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**

• Communicating with stakeholders to identify use cases, gather requirements and set up expectations
• Developing statistical analysis protocols and provide 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, develop predictive models from EMR, social-economical, and environmental data using machine learning and deep learning
• Executing real-world data (RWD) analyses using EMR data, registry data, claims data, and publicly available data sources such as SEER
• Providing analytical and statistical support for 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
• Delivery of rapid prototypes and proof of concepts that demonstrate real value
• Communicating results, technical constraints, and decisions to the business and non-specialists
• Creating and delivery of 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