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Statistical Genetics Internship information

What is the difference between Statistical Genetics Internship vs Bioinformatics Internship?

AspectStatistical Genetics InternshipBioinformatics Internship
Required CredentialsUndergraduate or graduate in genetics, statistics, or related fieldsUndergraduate or graduate in computer science, biology, or related fields
Work EnvironmentResearch labs, academic institutions, biotech companiesResearch labs, biotech firms, healthcare organizations
Industry UsageGenetics research, personalized medicine, genomics projectsGenomics, data analysis, software development in biology

While both internships focus on genetics and data analysis, Statistical Genetics Internships emphasize statistical methods applied to genetic data, whereas Bioinformatics Internships focus on computational analysis and software tools. Both roles often overlap but cater to different skill sets and project types within the genomics industry.

What types of projects and data will I typically work with during a Statistical Genetics Internship?

As a Statistical Genetics Intern, you will often work on projects involving the analysis of large-scale genomic datasets, such as Genome-Wide Association Studies (GWAS) or sequencing data from biobanks. Your daily tasks may include data cleaning, statistical modeling, and interpreting genetic associations with complex traits or diseases. Interns frequently collaborate with bioinformaticians, statisticians, and lab researchers to help translate genetic findings into actionable insights. This role provides an excellent opportunity to gain hands-on experience with cutting-edge computational tools and to contribute to real-world research in human genetics.

What are the key skills and qualifications needed to thrive as a Statistical Genetics Intern, and why are they important?

To thrive as a Statistical Genetics Intern, you need a solid background in genetics, statistics, and data analysis, often supported by coursework or experience in biology, mathematics, or bioinformatics. Familiarity with statistical programming languages such as R or Python, as well as experience using genetic analysis software and databases, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top candidates in this field. These skills are crucial for accurately analyzing complex genetic data, drawing reliable conclusions, and collaborating within multidisciplinary research teams.

What is a Statistical Genetics Internship?

A Statistical Genetics Internship is a temporary position designed for students or recent graduates to gain practical experience in the field of statistical genetics. Interns typically work with researchers to analyze genetic data, develop statistical models, and contribute to studies investigating the genetic basis of diseases or traits. The internship offers hands-on experience with bioinformatics tools, large datasets, and statistical programming languages such as R or Python. It's an excellent opportunity to apply classroom knowledge to real-world research and develop skills relevant to careers in genetics, statistics, or biomedical research.
Infographic showing various Statistical Genetics Internship job openings in the United States as of May 2026, with employment types broken down into 6% Internship, 2% As Needed, 59% Full Time, 32% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.
Faculty Professor Assistant - Full-Time

Faculty Professor Assistant - Full-Time

University of Pittsburgh

Pittsburgh, PA • On-site

Full-time

Posted 28 days ago

Job description

Statisticians & Biostatisticians (Psychiatry Research)
University of Pittsburgh, Department of Psychiatry
Pittsburgh, United States
The Department of Psychiatry at the University of Pittsburgh is looking to hire an Assistant Professor with expertise in statistics or biostatistics.
Successful candidates will have an interest in:
Engaging in statistical collaborations with both clinical and basic science investigators who direct internationally recognized research programs in multiple domains of psychiatry.
Primary selection criteria are a history of productivity and collaboration, as well as the ability to enhance an interactive and dynamic research community within and across departments in the greater Pittsburgh academic environment. Collaborative scientific work requires a mix of organizational, interpersonal, and scholarly skills, and successful candidates will be proficient in all these aspects.
Successful candidates will be provided with resources and support to develop their careers. They will join a vibrant and highly collaborative research community with a long history of excellence in basic, translational, and clinical research.
Our Department welcomes applicants from a wide range of backgrounds and experiences. We aim to create a respectful and supportive environment for all who work here.
Qualifications:
  • PhD in Statistics, Biostatistics, or related areas such as Quantitative Psychology, Statistical Genetics, and Bioinformatics.
  • Demonstrated interest in research, e.g., as shown through both individual and collaborative peer-reviewed publications, including original research and review articles. The quality of the journals themselves and the position of authorship will be considered.
  • Success in developing and submitting collaborative grant applications to external funding sources. Funding from the National Institutes of Health (NIH) is a priority in our Department.
  • Demonstrated research and collaborative skills.
  • Strong organizational skills are required, given the demands of working with multiple investigators.
  • Flexibility and the ability to work in a rapidly changing/growing educational institution.
  • Experience in collaborative research that reflects the ability to work on multiple projects with multiple collaborators at the same time and with tight deadlines.
  • Experience in developing tutorial and consultation resources that enhance the ability of collaborators to analyze data and to write effective manuscripts and funding applications, e.g., primers on statistical topics and new methods relevant to specific areas of scientific work.
  • Experience in a supervisory role, e.g., supervision of s-level statisticians (preferred but not required).

At the University of Pittsburgh Department of Psychiatry, we excel in our mission to:
  • provide superb behavioral health services to our patients and their families;
  • Pursue the development of better diagnostic techniques and therapeutic interventions through innovative research.
  • Provide a stimulating learning environment for medical and graduate students, residents, psychology interns, and postdoctoral fellows.

Our success in each of these areas depends on an interactive community of clinicians, scientists, and educators who bring a range of backgrounds, experiences, expertise, and perspectives to our mission.
An essential partner in this work is UPMC Western Psychiatric Hospital, a national leader in innovative treatment of mental health and addiction disorders. Moreover, Pitt Psychiatry's preeminent academic faculty of more than 200 members trained in multiple basic and clinical science disciplines is at the heart of our success in providing superior behavioral health care and in training the next generation of innovative researchers and clinicians.
Areas of Research
• Statistics
• Biostatistics
• Psychology
• Psychiatry
• Neuroscience
• Clinical Biomarkers
How to Apply
Please apply by going to our job site (https://cfopitt.taleo.net/careersection/pitt_faculty_external/jobsearch.ftl), searching job code 25005287 in the keyword search, and submitting your materials through our Pitt system.

Apply