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Remote Bioinformatics Jobs in Bridgeport, CT (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Stamford, CT · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

System One

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Remote-offsite Hours : 40.0 Overview Leading pharmaceutical company looking for an experienced Data ... Programming experience with Python and R for bioinformatic data analysis in unix-like systems.

New

System One

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Remote-offsite Hours : 40.0 Overview Leading pharmaceutical company looking for an experienced Data ... Programming experience with Python and R for bioinformatic data analysis in unix-like systems.

New

All JobsBioinformatics JobsRemote Bioinformatics JobsRemote Bioinformatics Jobs in Bridgeport, CT

Remote Bioinformatics information

See Bridgeport, CT salary details

$60.5K

$96.1K

$152K

How much do remote bioinformatics jobs pay per year?

As of Aug 31, 2026, the average yearly pay for remote bioinformatics in Bridgeport, CT is $96,058.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,600.00 and $131,700.00 per year, depending on experience, location, and employer.

What is remote bioinformatics?

A Remote Bioinformatics job involves analyzing biological data using computational tools and techniques while working from a location outside of a traditional office, such as from home. Professionals in this field work with large datasets, develop algorithms, and create software to interpret genetic, genomic, or proteomic information. These roles are commonly found in research institutions, biotech companies, and healthcare organizations. Strong programming, data analysis, and biological domain knowledge are essential for success in this role.

What are the key skills and qualifications needed to thrive in remote bioinformatics?

To thrive as a Remote Bioinformatics professional, you should have a strong background in computational biology, statistics, and programming (often with languages such as Python or R), supported by an advanced degree in a relevant field. Familiarity with bioinformatics tools (e.g., BLAST, GATK, Bioconductor), version control systems like Git, and experience with cloud-based computing platforms is highly valued. Excellent problem-solving abilities, clear written communication, and independent time management skills help you excel in remote and collaborative environments. These competencies are crucial for delivering accurate and timely insights from complex biological datasets while effectively working with geographically dispersed teams.

What are some typical challenges faced when working remotely in bioinformatics?

Working remotely in bioinformatics often means managing large datasets and complex analyses without immediate in-person support, which requires strong troubleshooting abilities and self-sufficiency. Collaborating with cross-disciplinary teams—such as biologists, clinicians, and data scientists—demands proactive communication and regular virtual meetings to ensure project alignment. Time zone differences and asynchronous workflows can also present coordination challenges, but they offer flexibility in managing your workload. Keeping up with the latest bioinformatics tools and research is essential and often involves continuous self-directed learning. With these factors in mind, remote bioinformatics roles can be both rewarding and flexible for those skilled at independent work and digital collaboration.

What are popular job titles related to Remote Bioinformatics jobs in Bridgeport, CT?

For Remote Bioinformatics jobs in Bridgeport, CT, the most frequently searched job titles are:

What job categories do people searching Remote Bioinformatics jobs in Bridgeport, CT look for?

The top searched job categories for Remote Bioinformatics jobs in Bridgeport, CT are:

What cities near Bridgeport, CT are hiring for Remote Bioinformatics jobs?

Cities near Bridgeport, CT with the most Remote Bioinformatics job openings:

Remote Bioinformatics jobs near you
Infographic showing various Remote Bioinformatics job openings in Bridgeport, CT as of August 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 100% Remote job distribution, with an average salary of $96,058 per year, or $46.2 per hour.

Remote Scientist III

Sigma Systems, Inc.

Ridgefield, CT • On-site, Remote

Full-time

Posted 4 days ago

Job description

37566110 Remote Scientist III 12 Months

Sigma Systems is currently looking for a Remote Scientist.

Responsibilities:

  • As an active team member of the Computational Innovation department at Boehringer-Ingelheim, the successful candidate will contribute to oncology drug discovery research through in silico data driven approaches. You will leverage multi-modal omics data analysis and collaborate with biologists to solve scientific challenges to advance drug discovery programs. This opportunity can be remote
  • Support Oncology drug development efforts
  • Identify, learn and apply emerging technologies in data science and its applications to Client cancer therapeutics discovery and development.
  • Apply and develop innovative analysis approaches when standard methods are not adequate
  • Identify and process publicly available and internally generated datasets using statistical and bioinformatics techniques to create meaningful biological insights
  • Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field
  • Interpret, report, and present analysis results, with a high level of integrity and ethics, to biologists and collaborators.
  • Ensure FAIR data analysis with clear documentation and reproducibility

Requirements:

  • PhD degree from an accredited institution with experience in computational sciences or a related scientific discipline (e.g., Computer sciences, Computational Biology, Genomics, Biostatistics, Bioinformatics and Biological Sciences)
  • Programming experience with Python and R for bioinformatic data analysis in unix-like systems.
  • Proficiency in working with bulk and single cell NGS data
  • Experience with any of these topics is a plus: oncology or immunology knowledge, spatial transcriptomics, methylation, or liquid biopsy data analysis, public oncology database datasets (TCGA, GTEX, Human cell atlas, CZ CELLxGene Client, Human tumor atlas network, etc)
  • Proficiency in working with high-performance computing clusters (HPC)
  • Proficiency in biological pathway analysis