Bioinformatics Engineer

Department: Data & AI

Employment Type: Permanent employee

Schedule: Full-time

Seniority: Experienced

Location: Barcelona, Batumi, Tbilisi

JD0050Bioinformatics EngineerMIGx is a global consulting company with an exclusive focus on the healthcare and life science industries, with their particularly demanding requirements on quality and regulatory aspects. We have been managing challenges and solving problems for our clients in the areas of compliance, business processes and many others. 
 
MIGx interdisciplinary teams from Switzerland, Spain and Georgia have been taking care of projects in the fields of M&A, Integration, Application, Data Platforms, Processes, IT management, Digital transformation, Managed services and compliance.

Job Description
MIGx is seeking a highly skilled Bioinformatics Engineer to join our team of scientific computing experts. In this role, you will collaborate closely with scientists, data analysts, and engineering partners to advance research workflows. A solid understanding of life science concepts—such as reference genomes and protein sequences—paired with curiosity and a growth mindset is essential.

This position requires a strong foundation in bioinformatics along with robust Cloud Operations experience, preferably in GCP. We are targeting candidates with an advanced degree for this Cambridge, MA – based role. If you excel in Python-based

ETL development, have solid cloud operations experience, and are enthusiastic about expanding your domain expertise, we’d love to connect.

• Working with MS/PS clients
• Resolving client issues via tracking system documentation
• Working EST hours
• Eager to grow and Learn

• Masters Degree in Computer Science or Bioinformatics. 
• Clear communication skills, including the ability to explain technical issues to nontechnical stakeholders in research or science teams. 
• 7+ years of experience in data engineering or adjacent roles with a focus on Python and ETL. 
• Practical GCP experience operating and/or supporting production workloads. 
• Proficiency in data engineering with a focus on Python.  
• Hands-on experience designing, building, and maintaining ETL pipelines including but not limited to implementing quality checks, automating workflows, curating and transforming scientific and operational datasets (structured and unstructured). 
• Working familiarity with R; ability to execute scripts, troubleshoot package issues, and support scientific workflows. 
• Exposure to life science, bioinformatics, or research computing environments, including understanding of concepts such as reference genomes, protein sequences, FASTA/FASTQ formats, or similar data types. 
• Strong version control and DevOps practices, including Git workflows, CI/CD pipelines, and repeatable environment setup. 
• Ability to learn domain specific scientific concepts quickly, collaborate with scientists, and translate technical requirements into reliable solutions. 
• Experience with infrastructure as code, ideally Terraform, for repeatable cloud resource provisioning.

• Experience supporting or using HPC environments leveraging SLURM 
• Containerization/orchestration (Docker, Kubernetes/GKE). 
• Strong understanding of data governance, cataloging, and lineage tools; basic familiarity with regulated environments (GxP, HIPAA).  
• Experience assessing existing code and workflows and identifying bottlenecks and optimization opportunities. 
• Experience in software requirements gathering, documentation, design, and development

Mid

• English C1
• Local Language

•    25 holiday days per year
•    Social Benefits pack
•    Possibilities of career development and the opportunity to shape the company future.
•    An employee-centric culture directly inspired by employee feedback - your voice is heard, and your perspective encouraged.
•    Different training programs to support your personal and professional development.
•    Work in a fast-growing international company.
•    Friendly atmosphere and supportive Management team