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Remote Bioinformatics Scientist Jobs in Connecticut

Aequor

This opportunity can be remote. Duties and responsibilities: • Support Oncology drug development ... Skills: • Programming experience with Python and R for bioinformatic data analysis in unix-like ...

Customer Operations

Data Scientist

Stamford, CT · On-site +1

Responsible for the full end-to-end data science process, including ETL, model development, validation, deployment into workflows, and measurement of financial impact. * Partner with cross-functional ...

All JobsBioinformatics Scientist JobsRemote Bioinformatics Scientist JobsRemote Bioinformatics Scientist Jobs in Connecticut

Remote Bioinformatics Scientist information

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$35

$52

$70

How much do remote bioinformatics scientist jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote bioinformatics scientist in Connecticut is $52.12, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $59.47 per hour, depending on experience, location, and employer.

What is a remote bioinformatics scientist?

A Remote Bioinformatics Scientist analyzes biological data using computational tools and techniques while working from a remote location. They process genomic, proteomic, or other biological datasets to extract meaningful insights, often for research, healthcare, or pharmaceutical applications. Their work involves programming, data modeling, and statistical analysis to interpret complex biological systems. Remote professionals collaborate with researchers, biologists, and data scientists via digital communication tools. This role requires strong skills in bioinformatics software, machine learning, and data visualization.

What are the typical daily responsibilities of a remote bioinformatics scientist?

A Remote Bioinformatics Scientist typically analyzes large-scale biological datasets, develops and maintains computational pipelines, and collaborates with research teams to interpret results. Daily tasks often include coding, running data analyses, troubleshooting pipeline issues, and preparing reports or visualizations to present findings. Communication is primarily conducted through virtual meetings, emails, and collaborative platforms, ensuring alignment with project goals. Flexibility in managing one's schedule and staying proactive in team communications are key aspects of succeeding in this remote setting.

What are the key skills and qualifications needed to thrive as a remote bioinformatics scientist?

To thrive as a Remote Bioinformatics Scientist, you need a solid background in biology, computer science, and statistics, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Expertise in programming languages such as Python or R, experience with genomic databases, and familiarity with data analysis tools like BLAST or GATK are highly valued. Strong problem-solving abilities, effective remote communication, and self-motivation are standout soft skills. These qualities enable effective analysis and interpretation of complex biological data while collaborating efficiently in a distributed research environment.

Are remote bioinformatics scientists in demand?

Remote bioinformatics scientists are in high demand due to the growth of personalized medicine, genomics research, and data-driven healthcare. Employers seek candidates with skills in programming, statistical analysis, and experience with tools like R and Python, often requiring a strong background in biology or bioinformatics certifications. The remote work trend has increased opportunities across biotech, pharma, and research institutions.

Is it hard to get a job in remote bioinformatics scientist?

Securing a remote bioinformatics scientist position can be competitive, often requiring strong skills in programming, data analysis, and biological knowledge, along with experience using tools like Python, R, and Linux. Employers typically look for relevant education, such as a master's or Ph.D., and prior experience in genomics or computational biology. Building a solid portfolio and networking can improve chances of landing such roles.

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

The most popular types of Bioinformatics Scientist jobs in Connecticut are:

What are popular job titles related to Remote Bioinformatics Scientist jobs in Connecticut?

For Remote Bioinformatics Scientist jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Bioinformatics Scientist jobs in Connecticut look for?

The top searched job categories for Remote Bioinformatics Scientist jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Bioinformatics Scientist jobs?

Cities in Connecticut with the most Remote Bioinformatics Scientist job openings:

Remote Bioinformatics Scientist jobs near you
Infographic showing various Remote Bioinformatics Scientist job openings in Connecticut as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 8% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $108,414 per year, or $52.1 per hour.

Remote Scientist III

Sigma Systems, Inc.

Ridgefield, CT • On-site, Remote

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

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