2

Bioinformatics Engineer Remote Jobs in Connecticut

Bioinformatics Engineer Remote information

How do Bioinformatics Engineers working remotely typically collaborate with cross-functional teams?

Remote Bioinformatics Engineers regularly collaborate with software developers, data scientists, biologists, and clinicians using digital communication and project management tools. Team meetings are often held via video conferencing platforms, and code or data is shared through cloud-based repositories like GitHub or institutional servers. Clear documentation and regular updates are essential to ensure everyone is aligned, and agile methodologies are commonly used to organize work in sprints. This collaborative structure fosters effective teamwork despite the physical distance, allowing for efficient problem-solving and project delivery.

What are the key skills and qualifications needed to thrive as a Bioinformatics Engineer (Remote), and why are they important?

To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, typically supported by a relevant degree such as bioinformatics, computational biology, or computer science. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, Galaxy), and knowledge of cloud computing platforms are essential, along with any certifications in data analysis or cloud services. Strong problem-solving abilities, attention to detail, and effective remote communication are vital soft skills for success in distributed teams. These competencies ensure efficient analysis of complex biological data and seamless collaboration across multidisciplinary, often geographically dispersed, research teams.

What does a remote Bioinformatics Engineer do?

A remote Bioinformatics Engineer designs, develops, and maintains computational tools and software for analyzing biological data, such as DNA sequences or protein structures, from a remote location. They collaborate with scientists and researchers to process large datasets, develop algorithms, and interpret results to advance scientific understanding or medical research. Working remotely, they use cloud-based platforms, version control systems, and secure data-sharing tools to effectively contribute to bioinformatics projects. Communication and teamwork are maintained through digital collaboration tools, allowing them to work with international teams.

What is the difference between Bioinformatics Engineer Remote vs Bioinformatics Scientist?

AspectBioinformatics Engineer RemoteBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related field; programming skillsSimilar credentials; often advanced degrees preferred
Work EnvironmentRemote, collaborative with biotech or pharma teamsTypically in research labs or academic settings, but can be remote
Employer & Industry UsageBiotech, pharma, healthcare companiesResearch institutions, biotech firms, academia
Common Search & ComparisonYesYes

The main difference between a Bioinformatics Engineer Remote and a Bioinformatics Scientist lies in their focus areas. Engineers often concentrate on developing tools and pipelines, while Scientists focus on data analysis and research. Both roles require similar educational backgrounds and can be performed remotely, especially in biotech and pharma industries.

What are the most commonly searched types of Bioinformatics Engineer jobs in Connecticut? The most popular types of Bioinformatics Engineer jobs in Connecticut are:
What are popular job titles related to Bioinformatics Engineer Remote jobs in Connecticut? For Bioinformatics Engineer Remote jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Engineer Remote jobs in Connecticut look for? The top searched job categories for Bioinformatics Engineer Remote jobs in Connecticut are:
What cities in Connecticut are hiring for Bioinformatics Engineer Remote jobs? Cities in Connecticut with the most Bioinformatics Engineer Remote job openings:
Software Engineer II - Bioinformatics R&D - Remote

Software Engineer II - Bioinformatics R&D - Remote

SEMA4

Stamford, CT • On-site, Remote

Full-time

Posted 7 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