Software Development Engineer

Job Title: Software Development Engineer Omicsveu

Location:

Job Purpose:

Software Development Engineer

Key Responsibilities:

Software Development & Integration

• Design and develop software applications for

  Omicsveu

  using

  VC++, Python, or Java

  .
• Implement scalable algorithms for processing

  genomics, transcriptomics, and proteomics data

  .
• Develop and optimize

  image analysis and AI-driven data interpretation modules

  .
• Integrate software with

  sequencers, microscopes, and diagnostic devices

  .
• Implement real-time data acquisition and signal processing.

System Architecture & Data Management

• Develop

  cloud-based or on-prem solutions

  for handling

  large-scale biological datasets

  .
• Optimize high-performance computing (HPC) for

  multi-omics data processing

  .
• Design and manage databases (SQL/NoSQL) for efficient storage & retrieval of genomic data.

Compliance, Testing & Reliability

• Ensure software meets

  medical device regulations (ISO 13485, IEC 62304)

  .
• Develop

  automated validation frameworks

  for continuous testing and quality assurance.
• Optimize error handling, security, and system reliability for

  sensitive healthcare applications

  .

Collaboration & Documentation

• Work closely with

  bioinformaticians, data scientists, and lab professionals

  to refine software requirements.
• Document

  software workflows, compliance processes, and best practices

  .
• Participate in

  code reviews, agile sprints, and cross-functional meetings

  .

Required Qualifications & Skills:

• Education:

  B.E./B.Tech/M.E./M.Tech in

  Computer Science, Bioinformatics, or related fields with atleast 3 to 5 years of work experience.

• Programming Languages:

  Strong experience in

  C, C++, VC++, Python, or Java

  .

• Development Tools:

  Proficiency in

  Microsoft Visual Studio

  for software development and debugging.

• Data Handling & Analysis:

  Familiarity with

  big data frameworks (Hadoop, Spark)

  and bioinformatics pipelines.

• Software Development Lifecycle:

  Expertise in

  Agile, DevOps, and CI/CD

  workflows.

• Cloud & Databases:

  Experience with

  AWS, Azure, or GCP

  for biological data processing.

• Version Control & Collaboration:

  Proficiency in

  Git, SVN

  , and distributed development tools.

• Problem-Solving:

  Strong debugging skills in

  hardware-software interactions and AI-driven analytics

  .

Preferred Experience:

• Experience in

  bioinformatics software development

  or

  diagnostic device software

  .
• Familiarity with

  genomic sequencing, proteomics data processing, or AI-based diagnostics

  .
• Knowledge of

  regulatory frameworks for medical software

  (FDA, CE certification).

Why Join Omicsveu?

next-generation precision medicine