Software Engineer

Job Description

Job Description

Description

Scisco Genetics Inc. is a leader in immunogenetics, offering DNA sequencing technology for the most complex and clinically-relevant regions of the human genome. Our mission is to raise the standard of healthcare through precision medicine based on host genetics.

Job Description: We are seeking a highly skilled and motivated Software Engineer with a strong background in project management, agile development, and leadership. The ideal candidate will be responsible for leading software development projects, managing cross-functional teams, and ensuring the successful delivery of high-quality software solutions.

Key Responsibilities:

• Lead and manage software development projects.
• Collaborate with cross-functional teams to define project scope, goals, and deliverables.
• Implement and oversee agile development processes to ensure timely and efficient project execution.
• Act as an advocate for agile development within the team and organization.
• Utilize Jira and Confluence for project tracking, documentation, and team collaboration.
• Provide technical leadership and mentorship to software engineering team members.
• Develop and maintain high-quality software solutions that meet the needs of our research and development efforts.
• Continuously improve software development practices and processes.
• Ensure effective communication and collaboration within the team and with other departments.

Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 5 years coding experience
• Proven experience in software engineering, with a focus on project management and leadership.
• Strong understanding of agile development methodologies and best practices.
• Excellent leadership, communication, and interpersonal skills.
• Proficiency in programming languages such as Python, Java, and C++.
• Experience with project management tools, particularly Jira and Confluence.
• Ability to work effectively in a fast-paced, dynamic environment.
• Strong problem-solving skills and attention to detail.

Preferred Qualifications:

• Experience in the biotechnology or genetics industry.
• Knowledge of genetic data analysis and bioinformatics tools.
• Experience with AWS, containerization technologies (e.g., Docker, Kubernetes), and cloud-based infrastructure.
• Familiarity with genetics and bioinformatics applications.