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Bioinformatics Analyst Jobs in Connecticut (NOW HIRING)

Varsity Tutors

Genetics Tutor

Norwalk, CT · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Varsity Tutors

Genetics Tutor

New Haven, CT · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Varsity Tutors

Genetics Tutor

Stamford, CT · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Varsity Tutors

Genetics Tutor

Hartford, CT · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Varsity Tutors

Genetics Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Pfizer

Senior ML/AI Cheminformatics Scientist

Groton, CT · On-site

$93K - $156K/yr

Process and analyze chemical and biological datasets to evaluate properties such as drug-likeness ... Chemistry, Bioinformatics, Data Science, or a related field. * Proficiency in Python, with ...

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All JobsBioinformatics Analyst JobsBioinformatics Analyst Jobs in Connecticut

Bioinformatics Analyst information

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$6

$43

$78

How much do bioinformatics analyst jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for bioinformatics analyst in Connecticut is $43.59, according to ZipRecruiter salary data. Most workers in this role earn between $34.28 and $46.63 per hour, depending on experience, location, and employer.

What does a bioinformatics analyst do?

A bioinformatics analyst works with large databases of omics data, such as genomics studies like the Human Genome Project. Your responsibilities in this career include research on the pathology of diseases and the development of experiments and algorithms to find cures. Your duties also involve ensuring compliance with all federal regulations and protocols. You may document your findings and present them at conferences as well. A career as a bioinformatics analyst requires advanced writing skills for writing scientific literature.

What does a bioinformatics analyst do?

A Bioinformatics Analyst uses computational and statistical methods to analyze biological data, such as DNA, RNA, or protein sequences. They interpret large datasets generated by experiments, develop algorithms, and create visualizations to help researchers understand complex biological processes. Their work supports scientific discoveries in fields like genomics, medicine, and agriculture, often collaborating with biologists, computer scientists, and other researchers.

What are the key skills and qualifications needed to thrive as a bioinformatics analyst, and why are they important?

To thrive as a Bioinformatics Analyst, you need a strong background in biology, statistics, and computer science, typically supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools like BLAST, Python/R programming, and experience with databases such as GenBank or Ensembl are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills enable analysts to extract meaningful insights from complex biological data, driving research and innovation in genomics and healthcare.

What are some common challenges faced by bioinformatics analysts when working with large genomic datasets?

One of the main challenges Bioinformatics Analysts encounter is managing and processing extremely large and complex genomic datasets, which often require advanced computational resources and efficient data management strategies. Ensuring data quality and accuracy while integrating information from various sources can also be demanding. Analysts frequently collaborate with biologists, clinicians, and IT professionals to interpret results and optimize workflows, which requires strong communication and interdisciplinary skills.

What is the difference between Bioinformatics Analyst vs Bioinformatics Technician?

AspectBioinformatics AnalystBioinformatics Technician
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related field; experience with data analysis toolsAssociate's or Bachelor's; focus on data processing and laboratory support
Work EnvironmentResearch labs, biotech companies, healthcare institutionsLaboratories, research facilities, academic settings
Employer & Industry UsageUsed in research, healthcare, biotech industries for data interpretationUsed for data collection, sample processing, and technical support roles

The main difference is that Bioinformatics Analysts focus on analyzing complex biological data and interpreting results, often requiring advanced degrees. Bioinformatics Technicians typically handle data collection, sample preparation, and technical tasks, supporting analysts and researchers. Both roles are essential in the biotech and healthcare industries, but they differ in responsibilities and required qualifications.

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Bioinformatics Analyst jobs near you
Infographic showing various Bioinformatics Analyst job openings in Connecticut as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, 2% Temporary, and 4% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $90,665 per year, or $43.6 per hour.

Postdoctoral Associate Genetics - Koch Lab

Yale University

New Haven, CT • On-site

Full-time

Re-posted 5 days ago

Key responsibilities

  • Develop bioinformatics pipelines for the analysis of large genomic datasets

  • Derive and apply novel statistical and theoretical models for human genomic data

  • Prepare manuscripts for publication and present research findings at meetings and conferences

Yale University rating

8.2

Company rating: 8.2 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

151st of 631 rated colleges and universities

Job description

Description
The Koch lab is seeking a postdoctoral scientist with expertise in population genetics and a motivated interest in human genetics. Our lab develops novel methods, theory, and analysis paradigms. We are interested in linking selectional and mutational landscapes to patterns of genetic variation associated with human traits and diseases. We do this by integrating evolutionary models with GWAS, biobank, and functional genomic resources across populations to uncover broadly useful frameworks for interpreting genetic findings in human health.
Appropriate candidates will possess foundational knowledge in population genetics as well as strong quantitative and computational skills. The postdoc will lead projects where they develop and apply new methods for the analysis of human genomic data. Individuals from diverse backgrounds are encouraged to apply.
The Koch lab is located in the Yale School of Medicine which offers an outstanding training environment for postdoctoral scientists, with state-of-the-art research facilities and vast resources to support professional development.
Responsibilities
  • Develop bioinformatics pipelines for the analysis of large genomic datasets
  • Derivation of novel statistical and theoretical models
  • Prepare manuscripts for publication
  • Attend and present at lab meetings, departmental seminars, and conferences
  • Participating in collaborations with other labs and consortia
  • Contribute to the mentoring of students and junior scientists in the lab
  • Application for independent funding and assisting the PI in the preparation of grant proposals

Mentoring & Professional Development
We have a strong emphasis on mentorship and value the opportunity to train future leaders in human genetics. The PI will work with the successful candidate to develop and implement a mentorship plan tailor-made for their goals and interests. Mentorship will be provided for fellowship applications, manuscript writing, presentations, and independence.
The successful candidate will gain access to a range of career development opportunities at Yale. This includes seminars from internationally renowned researchers and 'Meet the Speaker' lunches, and professional development and networking activities including via the Yale Postdoctoral Association and Yale Office for Career Strategy.
Qualifications
Candidates should have or be close to obtaining a PhD in either genetics/genomics, evolutionary biology, computational biology, or a related field.
Experience with the Python programming language and the command line interface is required. Experience with one or more of the following is desired: statistical and theoretical population genetics, high performance computing environments, statistical genetics.
The ideal candidate will also demonstrate:
  • A high level of drive and initiative, and track record of impactful research outcomes
  • Experience writing manuscripts published in peer-reviewed journals
  • Ability to work both independently and as part of a team
  • Eagerness to learn and establish new methods, and good problem-solving skills
  • Excellent communication skills, both written and verbal
  • Desire to contribute to the mentorship of students and junior scientists in the lab

Application Instructions
Please apply with (1) a cover letter summarizing your experiences, research interests, and career goals, and why you are interested in pursuing a postdoc in our lab, (2) your CV, including contact details of three references as well as a representative manuscript, and (3) when you are available to start.

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