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Postdoctoral Associate Jobs in Connecticut (NOW HIRING)

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Postdoctoral Associate information

See Connecticut salary details

$40.4K

$81.8K

$110.8K

How much do postdoctoral associate jobs pay per year?

As of Sep 13, 2026, the average yearly pay for postdoctoral associate in Connecticut is $81,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,300.00 and $110,300.00 per year, depending on experience, location, and employer.

What is a postdoctoral associate?

Postdoctoral Associates are individuals who have recently completed their doctoral studies and are engaged in a temporary period of mentored research or scholarly training. They work under the supervision of a principal investigator or faculty member, typically at a university or research institution. The main goal of a Postdoctoral Associate is to deepen their expertise in a specific field of study, contribute to ongoing research projects, and prepare for an independent career in academia, industry, or other research-related fields.

What are some common challenges faced by postdoctoral associates when managing independent research projects?

Postdoctoral Associates often encounter challenges in balancing the demands of independent research with collaborative projects and administrative responsibilities. Managing time effectively, securing funding, and navigating the publication process can be particularly demanding. Additionally, Postdocs must adapt to the expectations of their principal investigator and the broader research team, while also building their professional network and developing a clear path toward future career advancement. Proactive communication and organizational skills are key to overcoming these challenges and making the most of the postdoctoral experience.

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

To thrive as a Postdoctoral Associate, you need a doctoral degree in a relevant field, advanced research skills, and a strong publication record. Experience with specialized laboratory techniques, data analysis software (such as R or Python), and familiarity with grant writing or academic publishing platforms are typically required. Strong problem-solving, collaboration, and communication skills help you effectively share findings and work within multidisciplinary teams. These skills and qualities are essential for advancing research goals, securing funding, and building a successful academic or industry career.

What is the difference between Postdoctoral Associate vs Research Scientist?

AspectPostdoctoral AssociateResearch Scientist
Required credentialsPh.D. in relevant fieldMaster's or Ph.D., depending on industry
Work environmentAcademic labs, universitiesIndustry labs, corporate R&D
Employer and industry usagePrimarily academia and research institutionsPrimarily industry and corporate sectors
Common search intentResearch, academic career developmentProduct development, applied research

Postdoctoral Associates typically hold a Ph.D. and work mainly in academic or research institutions focusing on specialized research projects. Research Scientists often have similar credentials but are employed in industry settings, focusing on applied research and product development. The roles overlap in qualifications but differ in work environment and career focus.

What cities in Connecticut are hiring for Postdoctoral Associate jobs?

Cities in Connecticut with the most Postdoctoral Associate job openings:

Infographic showing various Postdoctoral Associate job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 25% Part Time, 3% Temporary, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $81,772 per year, or $39.3 per hour.

Postdoctoral Associate

New Haven, CT • On-site

Other

Posted 12 days ago


Job description

This is a current listing of job announcements related to Statistics.To submit a job for posting please use the Statistics Job Submission Form . Please note that jobs are posted within 24hrs of submission. If you have any questions, comments, or need to make acorrectionregarding your job announcement, please contact jobs@stat.ufl.edu .

Yale University, Department of Biostatistics – Postdoctoral AssociateCompany Name Yale University, Department of BiostatisticsPosition Title Postdoctoral AssociateCompany Information

The Liu Lab (https://liuq-lab.com) in the Department of Biostatistics at Yale University is looking for a highly motivated Postdoctoral Associate to join a growing research program at the intersection of generative AI, causal inference, regulatory genomics.
The Liu Lab develops statistically principled and AI-powered computational methods for analyzing massive, heterogeneous and complex biomedical datasets. We are building the next-generation computational frameworks that connect genetic variation, molecular regulation, perturbation response, and disease phenotypes. The overarching goal is to develop trustworthy AI systems that can move beyond prediction toward mechanistic understanding and causal discovery in biomedicine.
The Liu Lab builds on a strong track record in AI-powered causal inference, Bayesian generative models, and computational genomics, with recent work published in leading journals, such as JASA, Nature Communications, PNAS, Genome Biology. Yale offers an exceptional research environment, with close connections across biostatistics, computational biology, genetics, and medicine. The postdoctoral associate will also have priority access to the Yale Center for Research Computing, including a large-scale GPU infrastructure with 250+ GPUs, among them 80+ NVIDIA H200 GPUs and 60+ NVIDIA B200 GPUs.

Duties and Responsibilities

The postdoctoral associate will lead an ambitious project, focusing on building trustworthy causal AI systems to identify causal genes, regulatory elements, and molecular pathways linking genotype to phenotype. This is a highly interdisciplinary project in close collaboration with Dr. Hongyu Zhao (Biostatistics) and Dr. Steven Reilly (Genetics), integrating expertise in statistical genetics, computational genomics, and experimental genetics.
This position is ideal for candidates who want to develop cutting-edge computational methods on high-impact biomedical questions. The lab provides a highly interdisciplinary environment spanning AI, statistics, genomics, and public health. Postdoc will receive mentorship in method development, biological collaboration, grant writing, and career development. The goal is to help trainees grow into future leaders in academia or industry.

Position Qualifications

Applicants should hold or expect to soon receive a Ph.D. in computer science, computational biology, statistics, biostatistics, or a related field. Strong candidates will have experience in one or more of the following areas: deep learning, generative modeling, causal inference, foundation models or computational genomics. Strong programming skills in Python are expected, along with experience in PyTorch or TensorFlow and Linux-based high-performance computing. We especially value intellectual curiosity, creativity, strong communication skills, and enthusiasm for interdisciplinary research.

Salary Range 68500+

Interested applicants should send a CV, a cover letter briefly describing the previous research experience and future research interests, to Dr. Qiao Liu (qiao.liu@yale.edu).

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