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Computer Science Bioinformatics Jobs in Connecticut

... 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 ...

... Computer sciences, Computational Biology, Genomics, Biostatistics, Bioinformatics and Biological Sciences) * Programming experience with Python and R for bioinformatic data analysis in unix-like ...

New

Scientist III

Ridgefield, CT · On-site

$43 - $49.62/hr

... 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.

Scientist III

Ridgefield, CT · On-site

$53.57/hr

... Computer sciences, Computational Biology, Genomics, Biostatistics, Bioinformatics and Biological Sciences) * Programming experience with Python and R for bioinformatic data analysis in unix-like ...

New

... 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.

Computer Science Bioinformatics information

See Connecticut salary details

$5

$41

How much do computer science bioinformatics jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for computer science bioinformatics in Connecticut is $40.70, according to ZipRecruiter salary data. Most workers in this role earn between $40.48 and $40.91 per hour, depending on experience, location, and employer.

What is a computer science bioinformatics?

A Computer Science Bioinformatics job involves using computational techniques to analyze and interpret biological data, such as DNA sequences, protein structures, and genomic information. Professionals in this field develop algorithms, software tools, and databases to support biological research and medical advancements. They work in areas like genomics, drug discovery, and personalized medicine, often collaborating with biologists, chemists, and healthcare professionals. Strong programming skills, data analysis expertise, and knowledge of biology are essential for success in this field.

What are some typical daily responsibilities for someone working in computer science bioinformatics?

Professionals in Computer Science Bioinformatics typically spend their days designing and implementing algorithms to analyze large-scale biological datasets, developing custom software tools, and interpreting results to support ongoing research. Collaboration with biologists, clinicians, and other computational scientists is common, requiring regular meetings to discuss project goals, troubleshoot issues, and refine data analysis approaches. You may also be expected to keep up with new technologies and scientific literature to ensure your methods remain cutting-edge. The dynamic nature of this field means your tasks can evolve quickly, providing opportunities to tackle novel problems and drive meaningful impact in science and medicine.

What are the key skills and qualifications needed to thrive in computer science bioinformatics, and why are they important?

To thrive in Computer Science Bioinformatics, you need a solid background in computer science, biology, and statistics, often supported by a relevant degree or advanced certification. Proficiency in programming languages such as Python, R, and experience with bioinformatics tools and databases like BLAST, GenBank, and cloud platforms are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for this interdisciplinary field. These skills allow professionals to efficiently analyze complex biological data, collaborate with cross-functional teams, and contribute to critical discoveries in healthcare and biotechnology.

What are popular job titles related to Computer Science Bioinformatics jobs in Connecticut?

For Computer Science Bioinformatics jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Computer Science Bioinformatics jobs in Connecticut look for?

The top searched job categories for Computer Science Bioinformatics jobs in Connecticut are:

Infographic showing various Computer Science Bioinformatics job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $84,664 per year, or $40.7 per hour.

Postdoctoral Associate Position, Yale School of Public Health and Department of Biostatistics

Yale University

New Haven, CT • On-site

$49K - $66K/yr

Full-time

Re-posted 19 days ago


Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

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Job description

Description
We are actively recruiting a postdoctoral associate to join the Public Health Data Science and Data Equity (DSDE) research team in the School of Public Health with a primary home in the Department of Biostatistics.
The postdoctoral associate will work with Dr. Bhramar Mukherjee, PhD, the inaugural Senior Associate Dean of Public Health Data Science and Data Equity, Anna M.R. Lauder endowed Professor of Biostatistics, Professor of Chronic Disease Epidemiology, Professor of Statistics and Data Science, with a focus on developing methods and tools for the analysis of electronic health records and real-world healthcare data. There will also be opportunities for collaboration with faculty with experience in cancer and cardiovascular diseases. The position is for one year and is renewable for a second year based on satisfactory performance and progress.
The postdoctoral associate will actively participate in methodological and collaborative research as well as support writing research grants. Professional development will be an integral part of the position. This role enables postdocs to gain expertise in analysis and inference within complex, non-probability observational samples while engaging in exciting applications that harness and integrate data from various sources such as electronic health records, biobanks, registries, etc. The position will also provide a solid foundation to build a research career in academia, government, or industry.
Organization: Yale School of Public Health
Department: Biostatistics
Primary Location: New Haven, CT
Education Level: PhD
Shift: Days, 40 hours/week
Work Modality: Flexible, hybrid working arrangements could be accommodated if needed
Expected Start Date: Flexible, as early as November 1, 2025
Additional information on the Yale School of Public Health, the Department of Biostatistics and the Department of Chronic Disease Epidemiology at the School of Public Health can be found via the links below:
About Us | Yale School Of Public Health
Biostatistics | Yale School of Public Health
Chronic Disease Epidemiology Department | Yale School of Public Health
Qualifications
• Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science, Bioinformatics, or a related field before the start of the appointment
• Strong oral and written communication skills, and the ability to work effectively with a wide range of constituencies in a complex and diverse setting
• Proficiency with statistical computing (e.g., R, Python or C/C++)
• Demonstrated capacity to work both collaboratively and independently
• Strong strategic, analytical, and problem-solving skills
• Strong interpersonal and project management skills to facilitate timely and professional deliverables
• Experience with causal inference, machine learning, and artificial intelligence is desirable
• Experience with clinical, EHR, or biobank data analyses is desirable
Application Instructions
To apply:
Interested individuals should submit a (1) CV, (2) cover letter that addresses their specific interest in this position, skills and experiences directly related to this position, and highlight overall research interests and plan, and (3) contact information for three professional references via Interfolio. Review of applications will begin immediately and will continue until the position is filled.
Please apply online.
Questions regarding this position should be directed to bhramar.mukherjee@yale.edu.

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