Career

Team up with passioned professionals to make a change in digital health industry

We are looking for:

We are a digital health company, enabling healthcare providers to treat and manage chronic cardiometabolic diseases based on evidence-based and personalized interventions directly to the patient. Our solution has a strong focus on combining pharmaceutical, lifestyle and behavioral components within the treatment process.  

Our vision is to provide patients with personalized treatments based on Data “Data-as-a-Pill”. Our goal is to “enable patients to take control over their chronic disease”. Our motivations is to Help people and Society progress, to Explore and Innovate, and to have a clear Purpose. 

We are looking for a senior .NET developer, who has team leading experience and can lead developers to ensure good development quality and usage of best coding practices. 

You will: 

  • work closely with developers to help them find solutions to technical problems; 
  • ensure that source code is maintainable and is written according to best practices; 
  • ensure good coverage with unit/integration tests; 
  • identify security issues; 
  • identify performance issues; 
  • review merge requests; 
  • create technical tickets; 
  • participate in the planning of the system architecture; 
  • develop complex parts of the system. 

We expect from you: 

  • Expert knowledge in C#, .NET Core; 
  • Good knowledge in SQL; 
  • Good knowledge in front-end development; 
  • Knowledge of best coding practices; 
  • Experience with Entity Framework; 
  • Experience in REST API design; 
  • Understanding of microservices architecture; 
  • Good communications skills; 
  • Willingness to share knowledge with other team members. 

Technologies, infrastructure: 

  • REST API, Microservices, C#, .NET Core, BlazorSyncFusion, Entity Framework Core, MS SQL Server, GIT.

What we offer: 

  • working with young, professional, quality-oriented team; 
  • working with latest .NET technologies; 
  • working in Agile environment; 
  • autonomy to define how you are going to do work; 
  • Flexible working hours, ability to work from home, and professional development; 
  • The opportunity to learn from professionals; 
  • Excellent environment to expand your knowledge and skills. 


Gross Salary from: 4130 €/month 

We are a team with challenging goals. Join us, and let’s reach the company and your personal goals together.
Let’s talk!
 

Only selected candidates will be informed about the further process. 

To apply, please send your CV and cover letter to j.dobrovolskiene@intellerts.com

We are looking for a Lead Data Scientist in Kaunas, Lithuania.

We are a digital health company, enabling healthcare providers to treat and manage chronic cardiometabolic diseases based on evidence-based and personalized interventions directly to the patient. Our solution has a strong focus on combining pharmaceutical, lifestyle and behavioral components within the treatment process.

Our vision is to provide patients with personalized treatments based on Data “Data-as-a-Pill”. Our goal is to “enable patients to take control over their chronic disease”. Our motivations is to Help people and Society progress, to Explore and Innovate, and to have a clear Purpose.

We are now looking for a Lead Data Scientist who will be part of our project development team. As our new lead data scientist, you’ll be responsible for managing/leading the data science team of two to six data scientists, planning projects, and building analytics models, leveraging large volumes of data across sources in various forms.

 

Major tasks: 

  • Responsible for overseeing the data scientists team, machine learning engineers, and big data specialists;
  • Manage analytical projects spanning different teams or departments;
  • Teach, lead, and counsel colleagues on new techniques or solutions;
  • Responsible for the conception, planning, and prioritizing of data projects;
  • Provide support to inexperienced analysts with high-level expertise in an open-source language (e.g., R, Python, Julia, etc.);
  • Spot and evaluate emerging/cutting edge, open-source, data science/machine learning libraries/big data platforms (e.g., XGBoost, H2Oai, Spark, Hadoop, Apache Airflow, etc.);
  • Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques;
  • Utilize data visualization tools to deliver insights to stakeholders and clients;

 

We expect from you: 

  • Master’s or Ph.D. degree in Applied Mathematics, Data Science, Computer Science, Econometrics, Statistics, Business, or any other related field – alternatively, an equivalent level of relevant work experience would also be acceptable;
  • Proven experience as a Data Scientist or similar role (5+ years);
  • Proven track record of team mentorship and technical leadership (2+ years);
  • Data visualization skills and ability to present technical solutions to a non-technical audience simply and clearly;
  • Hands-on work experience and advanced working knowledge of SQL, Python, R, or other languages/technologies for performing complex data modeling and analysis;
  • Familiar with and able to apply natural language processing, machine learning, conceptual modeling, statistical analysis, predictive modeling, and hypothesis testing to solve data problems;
  • Hands-on knowledge of data wrangling, data cleaning, and prep, dimensionality reduction;
  • Experience with SQL databases. Experience querying data from relational databases using SQL;
  • Collaborative skills to manage a team to scale across the organization’s ecosystem.

 

We offer: 

  • Autonomy to define how you are going to do work;
  • Flexible working hours, ability to work from home, and professional development;
  • The opportunity to grow in your field in an international company;
  • The opportunity to learn from professionals;
  • Excellent environment to expand your knowledge and skills;
  • Competitive salary.

 


 

Gross Salary from: 3505 €/month

We are a team with challenging goals. Join us, and let’s reach the company and your personal goals together. Let’s talk!

To apply, please send your CV and cover letter to j.dobrovolskiene@intellerts.com
Only selected candidates will be informed about the further process

 

 

We are looking for a Data Scientist in Kaunas, Lithuania.

We are a digital health company, enabling healthcare providers to treat and manage chronic cardiometabolic diseases based on evidence-based and personalized interventions directly to the patient. Our solution has a strong focus on combining pharmaceutical, lifestyle and behavioral components within the treatment process.

Our vision is to provide patients with personalized treatments based on Data “Data-as-a-Pill”. Our goal is to “enable patients to take control over their chronic disease”. Our motivations is to Help people and Society progress, to Explore and Innovate, and to have a clear Purpose.

We are now looking for a Data Science specialist to join our team and work on life-changing projects with the health sector. As a Data Science specialist, you will be part of our project development team. Your goal will be to help our company analyze trends to make better decisions. If you are highly analytical with a knack for analysis, math, and statistics, a critical thinker and like to solve problems this role is for you.

 

Major tasks: 

  • Analyze large amounts of raw information to find patterns that will improve company’s and our client’s business;
  • Develop processes and tools to monitor and analyze model performance and data accuracy;
  • Execute projects involving data analytics;
  • Undertaking and automating data collection, preprocessing, and analysis;
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques;
  • Implement processes that improve and lead to superb data quality;
  • Develop custom data models and algorithms to apply to data sets;
  • Use predictive modeling and machine-learning algorithms to increase and optimize business outcomes;
  • Coordinate with different functional teams to implement models and monitor outcomes;

 

We expect from you: 

  • Bachelors’ or Master’s degree in Statistics, Mathematics, Computer Science, Engineering or Economics or another quantitative discipline – alternatively, an equivalent level of relevant work experience would also be acceptable;
  • Proven experience as a Data Scientist or similar role (3+ years);
  • Hands-on work experience and working knowledge of SQL, Python, R, or other languages/technologies for performing complex data modeling and analysis;
  • Experience analyzing data from 3rd party providers: company data (like Bureau van Dijk, Dun & Bradstreet, etc.), statistics department data (like Eurostat, etc.);
  • Experience visualizing/presenting data using: Tableau, Power BI, Qlik, D3, ggplot, etc.;
  • Experience with SQL databases and querying data from relational databases using SQL;
  • Hands-on knowledge of data wrangling, data cleaning, and prep;
  • Strong problem-solving skills with an emphasis on product development;
  • Excellent written and verbal communication skills for coordinating across teams;
  • Able to learn and master new technologies and techniques.

 

We offer: 

  • Autonomy to define how you are going to do work;
  • Flexible working hours, ability to work from home, and professional development;
  • The opportunity to grow in your field in an international company;
  • The opportunity to learn from professionals;
  • Excellent environment to expand your knowledge and skills;
  • Competitive salary.

 


 

Gross Salary from: 2455 €/month 

We are a team with challenging goals. Join us and let’s reach the company and your personal goals together. Let’s talk!

To apply, please send your CV and cover letter to j.dobrovolskiene@intellerts.com
Only selected candidates will be informed about the further process

 

 

dHealth Ecosystem

Connections Between the Doctor and the User

dHealth is a direct connection between the doctor and the user. This allows patients to receive automatic recommendations or, if necessary, suggestions provided directly by the health care professional – all without the need for on-site visits.

An important part of the dHealth monitoring ecosystem is the health care professionals, family doctors, and other medical specialists. Rather than distancing them from the wellness of their patients, our system relies on their expertise to analyze information about abnormalities – as generated by artificial intelligence algorithms and according to the user’s health telemetry data – and offer the final recommendation to the user.