Available Offers for Computer Science

Software developer (Angular)

Remotely
Full-time

About Company: A German brand that holds leading positions in both industrial and consumer businesses.


Tasks:

1) Affiliation of scalable and responsive cloud-based Web application using state-of-the-art frontend engineering practices by:

  • Designing a technical concept, coding, testing and documentation according to the backlog item based on AngularJS and TypeScript
  • Developing and implementing test scenarios with Cypress
  • Translation of UI/UX design wireframes to actual code, by developing web user interface components and related tests
  • Designing and testing of APIs
  • Developing CI/CD build pipelines for the developed web components and takes actions to keep code/systems stable and efficient
  • Testing including unit and integration tests, in case of identified bugs or issues the task is to rework it from step 1. The documentation will be done in Azure DevOps / ServiceNow.

2) Identify, design, and implement product improvements for the project related tasks according to the discussed backlog.

3) Documentation of technical implementation and related processes in Azure DevOps.


Requirements

  • Proven experience as a Frontend / Full Stack Developer or similar role
  • Experience in developing single-page web applications.
  • Familiarity with fundamentals of Microsoft Azure and serverless architectures
  • Proficiency in AngularJS and TypeScript with the ability to make code design decisions
  • Fluent English is a must
  • Excellent communication and teamwork skills
  • Great attention to detail
  • Organizational skills
  • Degree in Software Engineering, Computer Science STEM fields, or any other relevant field.

Business Intelligence / Data Visualization Engineer

Office
Full-time

Multinational company - leader in digital services is seeking an experienced Business Intelligence / Data Visualization Engineer to join a team passionate about data science and delivering cutting-edge visualizations & insights across the entire portfolio.


About the project:

This role will require working with internet-scale data across numerous product and customer touchpoints, undertaking in-depth quantitative analysis, and distilling data into actionable and intuitive visualizations to drive informed decision-making across all levels of the company.


About the team:

The team’s culture is centered around rapid iteration with open feedback and debate along the way. They encourage independent decision-making and taking calculated risks. Data Science & Analytics collaborates with partners across product, design, engineering, marketing, editorial, and business teams. They produce insights to drive decisions that enhance the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy.


Job Description:

  • Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
  • Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
  • Closely partner with the Data Science team to define metrics, datasets, and automation strategy.
  • Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how the services are measured, and craft world-class tools to support those partners.
  • Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
  • Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery


Key Qualifications:

  • 5+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
  • Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
  • Proficiency with data visualization tools such as Tableau, PowerBI, and Microstrategy for analysis, insight synthesis, data product delivery, and executive presentation.
  • Education - minimum of a Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field.


Soft-skills:

  • Curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
  • Excellent communication, social, and presentation skills with meticulous attention to detail.
  • Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
  • Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.
  • Able to communicate and collaborate across many different teams, has an agile approach to solve challenging problems quickly, and stresses the details.


Location: CA, USA.

Technical Support Associate

Office
Full-time

An international company with over 25 years of financial markets expertise is looking for a Technical Support Associate to join the team in Montenegro.


In this role, you should have excellent problem-solving skills and excellent interpersonal and communication skills. You're the total match if you are a strong team player and able to collaborate well with others to solve problems and actively incorporate input from various sources and have demonstrated customer focus.


Requirements

  • Customer focusing. Politeness, loyalty in any aspect.
  • Ability to build strong customer relationships and creates processes with customer viewpoint.
  • Strong analytical skills.
  • Able to communicate in a clear manner.
  • Effectively evaluate information / data to make decisions.
  • Anticipates obstacles and develops plans to resolve.
  • Broad understanding of IT Infrastructure and support processes.
  • Strong track record of understanding and interest in current and emerging technologies demonstrated through training, job experience and / or industry activities.
  • Change oriented – actively generate process improvements.
  • Supports and drive change, and confront difficult circumstances in creative ways.
  • Professional IT area education or relevant experience.
  • Windows family user and administrator knowledge or experience.
  • Basic knowledge of networking.
  • PC Desktop and Laptop hardware knowledge at professional level.
  • Basic knowledge of monitoring systems and strategies.
  • Basic knowledge of recovery systems and strategies.
  • Basic knowledge in ITSM and ITIL. Atlassian products knowledge is a plus.
  • Nice to have work experience in programming.
  • Familiarity writing scripts (at least one: Python, JavaScript, Bash).
  • Familiarity with Dynatrace, Zabbix, Git, Jira, would be a good benefit.
  • Bachelor’s degree in Information Systems, Information Technology, Computer Science or Engineering from an accredited university or college.
  • English language knowledge working level both oral and written (intermediate level minimum).


Bioinformatics Analyst

Remotely
Full-time

We are looking for a skilled and motivated Bioinformatician / Data Scientist to join a dynamic team. In this role, you will have the opportunity to work on a diverse range of projects, utilizing your expertise in bioinformatics and data science to tackle complex scientific challenges. As a key member of our team, you will contribute to the development and application of cutting-edge computational methods and algorithms, enabling our clients to gain valuable insights from their data.

Should be able to be present in person at Cambridge, USA office at least once week.


Responsibilities:

  • Collaborate closely with clients to understand their specific research goals and design tailored bioinformatics and data analysis solutions.
  • Collaborate with interdisciplinary teams of biologists, geneticists, and data scientists to develop and implement computational strategies for analyzing large-scale biological datasets.
  • Develop and implement computational pipelines and workflows for processing and analyzing diverse biological data types, including genomics, transcriptomics, proteomics, and metabolomics.
  • Participation in development, deployment and optimization of bioinformatic workflows pipelines for processing NGS data (single-cell and bulk RNA-seq). Interpret results from these workflows to generate insights.
  • Perform statistical analysis and data mining to identify patterns, correlations, and biomarkers.
  • Apply statistical modeling and machine learning techniques to identify patterns, correlations, and predictive models from large-scale datasets.
  • Stay up-to-date with the latest advancements in bioinformatics and contribute to the continuous improvement of existing methodologies and algorithms.
  • Present findings and results to internal teams and external stakeholders in a clear and concise manner.
  • Deploy and optimize bioinformatic workflows for the integration and analysis of NGS data, including short and long read sequencing data. Interpret results from these workflows to generate insights.
  • Perform quality control checks, align sample data to the reference genome, and produce variants called files (VCFs), and joint-genotyped VCF files.
  • Conduct statistical and genomic analysis, develop custom algorithms.


What we expect:

  • B.S. or M.S. level of relevant education with hands on experience (Computer Science, Bioinformatics etc) in NGS workflow development and analysis.
  • Experience with GxP, Genedata Selector and NGS for Cell Therapy domains is a must.
  • Solid understanding of bioinformatics concepts, algorithms, and tools.
  • Proven experience in analyzing high-throughput genomic, transcriptomic, or proteomic data.
  • Hands-on experience with creating single-cell and bulk RNA-seq data processing pipelines.
  • Proficiency in pipeline development using Nextflow, Cromwell, or other popular framework.
  • Experience with Python programming language. Proficiency in programming languages such as Python or R and experience with relevant bioinformatics software and tools.
  • Solid knowledge of statistical analysis, machine learning, and data mining techniques.
  • English level C1 or higher.


Nice to have:

  • Experience in next-generation sequencing (NGS) data analysis and variant calling.
  • Knowledge of structural bioinformatics and molecular modeling.
  • Familiarity with cloud computing platforms and big data analysis frameworks.
  • Experience with deploying pipelines to AWS.
  • Familiarity with cloud computing platforms and big data analysis frameworks.
  • Strong communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams and communicate complex concepts to non-technical stakeholders.