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Internship Bioinformatics Software Engineer Jobs in Connecticut

Danaher

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Danaher

Software Engineer Internships

Hamden, CT · On-site

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Danaher

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

Danaher

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

Danaher

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

Danaher

Software Engineer Internships

Waterbury, CT · On-site

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Danaher

Software Engineer Internships

Danbury, CT · On-site

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Danaher

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

Danaher

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

Danaher

Software Engineer Internships

Stamford, CT · On-site

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Danaher

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Danaher

Software Engineer Internships

Norwalk, CT · On-site

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Danaher

Software Engineer Internships

New Haven, CT · On-site

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Danaher

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

Danaher

Software Engineer Internships

Bridgeport, CT · On-site

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Danaher

Software Engineer Internships

Hartford, CT · On-site

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All JobsBioinformatics Software Engineer JobsInternship Bioinformatics Software Engineer JobsInternship Bioinformatics Software Engineer Jobs in Connecticut

Internship Bioinformatics Software Engineer information

What is the difference between Internship Bioinformatics Software Engineer vs Bioinformatics Data Analyst?

AspectInternship Bioinformatics Software Engineer
Required CredentialsEnrolled in or recent graduate of Computer Science, Bioinformatics, or related fields
Work EnvironmentResearch labs, biotech companies, or academic institutions
Employer & Industry UsageUsed in biotech, pharmaceutical, and research organizations for software development
Common Search & ComparisonCompared for entry-level software development roles in bioinformatics

While both roles involve working with biological data, an Internship Bioinformatics Software Engineer focuses on developing software tools and algorithms, often requiring programming skills and software development knowledge. A Bioinformatics Data Analyst primarily analyzes biological data, using statistical and data visualization tools. The internship provides hands-on experience in coding and software creation, whereas a data analyst role emphasizes data interpretation and reporting.

What does an Internship Bioinformatics Software Engineer do?

An Internship Bioinformatics Software Engineer assists in developing and maintaining software tools used to analyze biological data, such as DNA sequences or protein structures. They often work under the supervision of senior engineers and scientists to write code, troubleshoot issues, and implement algorithms for biological research. Interns may also help process large datasets, visualize results, and collaborate with interdisciplinary teams. This role provides hands-on experience in both software development and the application of computational methods to biological problems.

What types of projects do Internship Bioinformatics Software Engineers typically work on, and how do these projects contribute to their professional development?

Internship Bioinformatics Software Engineers often work on projects involving the development and optimization of software tools for analyzing large biological datasets, such as genomic sequences or protein structures. These projects frequently require collaboration with biologists and data scientists, offering valuable exposure to interdisciplinary teamwork. Interns may be tasked with writing code, testing algorithms, or visualizing data, all of which build practical skills in both software engineering and bioinformatics. This hands-on experience not only enhances technical proficiency but also helps interns better understand real-world applications in life sciences, setting a strong foundation for future career growth.

What are the key skills and qualifications needed to thrive as an Internship Bioinformatics Software Engineer, and why are they important?

To thrive as an Internship Bioinformatics Software Engineer, you need a foundational understanding of programming (often in Python, R, or Java), basic knowledge of molecular biology or genomics, and current pursuit of a degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (such as BLAST, Bioconductor, or Galaxy), version control systems like Git, and experience analyzing biological datasets are typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and learn in multidisciplinary teams. These skills and qualities ensure interns can contribute to meaningful research, adapt quickly to new technologies, and facilitate teamwork in complex scientific 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 Internship Bioinformatics Software Engineer jobs in Connecticut? For Internship Bioinformatics Software Engineer jobs in Connecticut, the most frequently searched job titles are:
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What cities in Connecticut are hiring for Internship Bioinformatics Software Engineer jobs? Cities in Connecticut with the most Internship Bioinformatics Software Engineer job openings:
Internship Bioinformatics Software Engineer jobs near you

Software Engineer II - Bioinformatics R&D - Remote

SEMA4

Stamford, CT • On-site, Remote

Full-time

Re-posted 23 days ago

Job description

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
Sema4 is seeking a talented, self-motivated Software Engineer II - Bioinformatics R&D to contribute to cutting-edge translational bioinformatics and clinical product development. As a member of the R&D Bioinformatics department, you will act as a critical member of the Sema4 clinical and research ecosystem focused on innovation, reliability, and quality analysis of high-throughput data at an unprecedented scale. You will use advanced cloud computing technologies to do big data analytics. You will be part of an interdisciplinary team that develops computational methods and pipelines to interpret large-scale human genome and transcriptome sequencing data to understand mutations and mutation processes in cancer and reproductive health and to translate that understanding to clinical utility. You will develop systems for integrating novel informatics and genomics tools and methodologies into clinical products and practices.
RESPONSIBILITIES
  • Carry out software design, coding, testing, debugging, and documentation
  • Automate existing analysis workflows, migrate existing workflows to cloud platforms, and develop new workflows and pipelines for clinical and research projects
  • Develop, implement, and follow best practices in software development, code versioning, software testing, and deployment
  • Collaborate closely with scientists, clinicians, and product managers to design, engineer, and implement analytics pipeline solutions in the Amazon AWS cloud environment
  • Deliver high-quality, well-tested software to the production bioinformatics team for use in clinical products
  • Contribute to bioinformatics research analysis
  • Communicate effectively with collaborators (computational and bioinformatics scientists on R&D and production teams, IT/HPC, clinical lab directors, knowledgebase and curation teams, wet lab staff) to understand and satisfy product and research analysis needs
  • Train and provide support for bioinformatics scientists and other team members in internally developed best practices for software development, testing, and software development lifecycle (SDLC) policies

QUALIFICATIONS
  • M.S. in Computer Science, Computer Engineering, Bioinformatics, Computational Biology, or related fields. B.S. plus equivalent experience will be considered
  • 2+ years of post-graduate software development experience
  • Working in a team, self-motivation, ability to manage multiple tasks simultaneously, ability to solve problems independently
  • Possess strong understanding of computer science fundamentals, algorithms, and software engineering best practices
  • Strong coding proficiency in Python and R programming languages or similar. Experience with multiple coding languages such as Java/Scala is preferred.
  • Programming experience in Unix/Linux environment
  • Experience with Docker or similar software container platform
  • Hands-on experience working with NGS and bioinformatics tools will be a plus, especially GATK and WDL and common NGS data formats (VCF, BAM)
  • Experience working with cloud computing infrastructures will be a plus, especially on Amazon AWS and DNAnexus
  • Developing codebases using distributed version control tools (especially Git) and software issue tracking systems (especially Jira)
  • Excellent communication and interpersonal skills needed for working in an interdisciplinary team of scientists, engineers, and clinicians
  • Well-versed in the art of effective technical communication, especially graphical communication, about systems design and high-complexity datasets

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