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Bachelors In Bioinformatics Jobs in Connecticut (NOW HIRING)

Fladger Associates

Scientist III

Ridgefield, CT · On-site

... Bioinformatics preferred) OR Bachelor's Degree from an accredited institution with seven-plus (7+) years of experience in a STEM discipline. * Strong Scientific understanding and experience in ...

System One

Scientist III

Ridgefield, CT · On-site

$43 - $49.62/hr

... or Bioinformatics preferred) OR Bachelor's degree from an accredited institution with seven-plus (7+) years of experience in a STEM discipline. Responsibilities * Main duties will be to conduct ...

CYNET SYSTEMS

Scientist III

Ridgefield, CT · On-site

$49/hr

... Bioinformatics preferred) OR Bachelor's degree from an accredited institution with seven-plus (7+) years of experience in a STEM discipline. Responsibilities: * Conduct routine and non-routine ...

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Bachelors In Bioinformatics information

What is a bachelor's in bioinformatics?

A Bachelor's in Bioinformatics is an undergraduate degree program that combines biology, computer science, mathematics, and statistics to analyze and interpret biological data. Students learn how to use computational tools to manage and study large datasets, such as genetic sequences or protein structures. This interdisciplinary field prepares graduates for careers in healthcare, pharmaceuticals, research, and biotechnology, or for further study in graduate programs. The curriculum typically includes courses in molecular biology, programming, data analysis, and genomics.

What are the key skills and qualifications needed to thrive with a bachelor's in bioinformatics?

To thrive with a Bachelor's in Bioinformatics, you need a solid background in biology, computer science, statistics, and data analysis. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (like BLAST or Bioconductor), and understanding of databases are typically essential. Strong problem-solving abilities, communication skills, and attention to detail help you effectively collaborate and interpret complex biological data. These competencies are crucial for analyzing and translating biological information into actionable insights in research, healthcare, or industry settings.

What types of collaborative projects can someone with a bachelor's in bioinformatics expect to work on in an entry-level position?

In an entry-level bioinformatics role, you'll often collaborate with interdisciplinary teams that may include biologists, computer scientists, and statisticians. Typical projects involve tasks like analyzing genomic data, developing data pipelines, or assisting with the management of large biological datasets. You might also contribute to research publications or support experimental design by providing computational insights. This teamwork fosters a dynamic work environment where communication and adaptability are highly valued.

What is the difference between Bachelors In Bioinformatics vs Bachelors In Biotechnology?

AspectBachelors In BioinformaticsBachelors In Biotechnology
Required CredentialsBachelor's degree in bioinformatics, computer science, or related fieldsBachelor's degree in biotechnology, biology, or related fields
Work EnvironmentResearch labs, data analysis, software developmentLaboratories, manufacturing, research and development
Industry UsageHealthcare, pharmaceuticals, research institutionsPharmaceuticals, agriculture, medical devices

Both degrees prepare students for roles in biotech and healthcare sectors, but Bachelors In Bioinformatics focuses on computational analysis of biological data, while Bachelors In Biotechnology emphasizes laboratory techniques and product development. Your choice depends on whether you prefer data-driven research or hands-on lab work.

Do bioinformaticians get paid well?

Bioinformaticians typically earn competitive salaries due to their specialized skills in biology, computer science, and data analysis. Salaries vary based on experience, education, and location, but they are generally above average compared to other entry-level science roles.

Is a bachelor in bioinformatics still a good career?

A bachelor's in bioinformatics is still a viable career option, as the field combines biology, computer science, and data analysis, which are in high demand in healthcare, research, and biotech industries. Professionals often work with tools like programming languages and databases, and advanced roles may require further education or certifications. The job outlook remains positive due to ongoing growth in personalized medicine and genomics.

What jobs can I get with a bachelor's in bioinformatics?

A bachelor's in bioinformatics qualifies you for roles such as bioinformatics analyst, research assistant, laboratory technician, or data analyst in biotech, pharmaceutical, or healthcare companies. These positions often require skills in programming, data analysis, and familiarity with biological databases and tools like Python, R, or SQL.

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What job categories do people searching Bachelors In Bioinformatics jobs in Connecticut look for?

The top searched job categories for Bachelors In Bioinformatics jobs in Connecticut are:

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Bachelors In Bioinformatics jobs near you
Infographic showing various Bachelors In Bioinformatics job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution.

Scientist III

Ridgefield, CT • On-site

Fladger Associates
See more jobs at Fladger Associatesexternal

Contractor

Re-posted 18 days ago

Job description

Ridgefield, CT
Contract Duration: 12-24 months
Rate: Negot

Responsibilities:

  • Excellent employment opportunity for a Scientist III in the Ridgefield, CT area.
  • Design, implement and/or deploy NGS data analysis workflows for data processing, visualization, integration and mining to support novel therapeutic target identification and disease biomarker discovery
  • Data Analysis: Implement methods for omics data analysis, and interpretation of genomic data sets (e.g., bulk RNA-seq, scRNA-seq, ATAC-Seq)
  • Data Visualization: Fluency in contemporary data visualization methods like R Shiny, D3
  • Data Integration: Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets and downstream effects relevant to immune disease
  • Data Mining: Internal, collaborative, and public databases to assist in the characterization of immune disease
  • Select and benchmark methods and tools, define and perform appropriate QC measures
  • Apply and develop innovative analysis approaches when standard methods are not adequate
  • Interpret and present analysis results to coworkers and collaborators
  • Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field
  • Demonstrates the ability to interpret the outcome of experiments, propose appropriate follow-up, and may propose new avenues of investigation
  • Communicates own work effectively orally and in writing; contributes to writing protocols, procedures, and technical reports
  • Automate processing and results reporting and delivery
  • Reports and treats data with a high level of integrity and ethics
  • Complies with applicable regulations; Maintains proper records in accordance with SOPs and policies

Experience:

  • Master's Degree from an accredited institution with one-plus (1+) years of experience in a related Scientific discipline (Computer Science, Genomics, Biostatistics or Bioinformatics preferred) OR Bachelor's Degree from an accredited institution with seven-plus (7+) years of experience in a STEM discipline.
  • Strong Scientific understanding and experience in Bioinformatics
  • Experience in Pharmaceutical research a plus
  • The successful candidate will have experience with more than one of the following: analyzing next-generation sequencing (NGS), functional genomics, statistics for big data analysis, or multi-omics data integration
  • Good knowledge of existing bioinformatics databases and file formats In-depth understanding of computational methods for NGS analysis and the usage of public data resources required
  • Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant R/Bioconductor packages
  • Demonstrated ability to produce well-designed and documented code
  • Familiarity with computational biology tools and experience working with computational biologists to solve problems
  • Ability to troubleshoot both individually and as part of a team
  • Excellent oral and written skills with the ability to communicate in an open, transparent, timely and consistent manner
  • Skills: BIOINFORMATICS, BIOSTATISTICS, DATABASES, GENOMICS, LINUX
  • Additional Skills: PYTHON, SCRIPTING, SHELL SCRIPTING, SHINY, UNIX, UNIX/LINUX, VISUALIZATION, WRITING PROTOCOLS, DATA ANALYSIS, DATA INTEGRATION, DATA MINING, DATA VISUALIZATION, DATASETS, DRUG DISCOVERY, INTEGRATION, INTEGRATOR, MARKETING ANALYSIS, PHARMACEUTICAL RESEARCH, RNA, SEQUENCING, SOPS, STATISTICS, THERAPEUTIC