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From Home Bioinformatics Software Engineer Jobs in Connecticut

... from problem definition and architecture through implementation, testing, deployment, and ... software engineering fundamentals, including clean code, testing, debugging, and system design ...

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From Home Bioinformatics Software Engineer information

What is the difference between From Home Bioinformatics Software Engineer vs From Home Data Scientist?

AspectFrom Home Bioinformatics Software EngineerFrom Home Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skills in Python, R, JavaBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in Python, R, SQL
Work EnvironmentRemote, often collaborating with research labs, biotech firms, or healthcare companiesRemote, working with tech companies, finance, or healthcare organizations
Industry UsagePrimarily in biotech, healthcare, and research institutionsAcross tech, finance, healthcare, and consulting sectors

Both roles often require strong programming skills and a background in data analysis. The main difference lies in their focus: Bioinformatics Software Engineers specialize in biological data and research applications, while Data Scientists work across various industries analyzing diverse data sets. Both roles are increasingly remote and collaborative, making them suitable for from-home work environments.

What are the most commonly searched types of Bioinformatics Software Engineer jobs in Connecticut?

The most popular types of Bioinformatics Software Engineer jobs in Connecticut are:

What are popular job titles related to From Home Bioinformatics Software Engineer jobs in Connecticut?

For From Home Bioinformatics Software Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching From Home Bioinformatics Software Engineer jobs in Connecticut look for?

The top searched job categories for From Home Bioinformatics Software Engineer jobs in Connecticut are:

What cities in Connecticut are hiring for From Home Bioinformatics Software Engineer jobs?

Cities in Connecticut with the most From Home Bioinformatics Software Engineer job openings:

Infographic showing various From Home Bioinformatics Software Engineer job openings in Connecticut as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 77% Physical, 1% Hybrid, and 22% Remote job distribution.

Software Engineer

Wise Insight

Stamford, CT

Full-time

Posted yesterday

New


Job description

Key Information:
Work Model: On-site, 5 days per week
Employment Type: Full-time
Company: Leading Investment Firm in Stamford, Connecticut

Key
Responsibilities:
- Build and maintain full-stack software applications supporting investment research and internal business processes
- Develop production-quality applications using TypeScript and modern full-stack technologies within the T3 ecosystem
- Write Python for scripting, automation, data processing, and internal tooling
- Design and work with relational databases and write production-quality SQL
- Participate in the full software development lifecycle, from problem definition and architecture through implementation, testing, deployment, and maintenance

Requirements:
- 2 to 7 years of professional experience in full-stack software development
- Strong proficiency in TypeScript and modern full-stack development
- Strong hands-on Python experience with ability to read and write Python for scripting and automation
- Experience working with AWS and cloud-based application environments
- Strong understanding of relational databases
- Experience writing production-quality SQL
- Strong software engineering fundamentals, including clean code, testing, debugging, and system design
- Strong problem-solving skills and genuine curiosity about technology and data

Preferred Qualifications:

- Experience with AI engineering, LLM APIs, or generative AI applications
- Experience building AI-powered automations or agentic workflows
- Experience working with financial markets, investing, fintech, quantitative research, or financial technology
- Academic background in finance, economics, mathematics, statistics, computer science, or another quantitative discipline