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Internship Rna Seq Jobs in Connecticut (NOW HIRING)

Internship Rna Seq information

What is the difference between Internship Rna Seq vs Research Assistant Rna Seq?

AspectInternship Rna SeqResearch Assistant Rna Seq
Required CredentialsUndergraduate or early graduate student, basic biology or bioinformatics backgroundBachelor's degree in biology, bioinformatics, or related field; some experience preferred
Work EnvironmentInternship programs, educational settings, or research labsResearch labs, academic institutions, biotech companies
Employer & Industry UsageEducational institutions, research projects, internships for skill developmentResearch projects, data analysis, lab experiments in biotech and academia

Internship Rna Seq positions are typically designed for students gaining hands-on experience, often with limited prior work experience. Research Assistant Rna Seq roles usually require more background knowledge and involve more independent research tasks. Both roles are essential in the field of RNA sequencing, but they differ mainly in experience level and scope of responsibilities.

What are the key skills and qualifications needed to thrive as an internship in RNA-Seq?

To thrive as an Internship RNA Seq, you typically need a background in molecular biology or bioinformatics, experience with RNA sequencing protocols, and a relevant undergraduate or graduate degree. Familiarity with sequencing platforms (like Illumina), data analysis software (such as R/Bioconductor), and basic coding skills are often required. Strong attention to detail, analytical thinking, and effective communication help interns interpret data and collaborate with research teams. These skills and qualifications ensure accurate data generation, reliable analysis, and effective contribution to scientific research projects.

What are some common challenges faced during an internship in RNA-Seq and how can they be overcome?

Interns working in RNA-Seq often encounter challenges such as handling large and complex datasets, learning new bioinformatics tools, and interpreting results accurately. It can also be overwhelming to troubleshoot issues in sequencing data quality or pipeline errors. To overcome these, interns should actively seek guidance from experienced team members, utilize available documentation and tutorials, and participate in regular lab meetings to discuss findings and challenges. Developing strong communication and problem-solving skills is key to navigating these hurdles successfully.

What is an internship in RNA-Seq?

An internship in RNA-Seq involves gaining hands-on experience with RNA sequencing technology, which is used to analyze the transcriptome of cells or tissues. Interns typically assist in preparing RNA samples, running sequencing protocols, and analyzing the resulting data using bioinformatics tools. This role is common in research labs and biotech companies, allowing students or recent graduates to apply molecular biology techniques and computational analyses to real-world projects. The internship provides valuable insights into genomics research and practical skills needed for careers in bioinformatics, molecular biology, or genetics.
What are the most commonly searched types of Rna Seq jobs in Connecticut? The most popular types of Rna Seq jobs in Connecticut are:
What are popular job titles related to Internship Rna Seq jobs in Connecticut? For Internship Rna Seq jobs in Connecticut, the most frequently searched job titles are:
What cities in Connecticut are hiring for Internship Rna Seq jobs? Cities in Connecticut with the most Internship Rna Seq job openings:

Associate Computational Scientist

The Jackson Laboratory

Farmington, CT

$98K - $165K/yr

Other

Posted 12 days ago


The Jackson Laboratory rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

32nd of 120 rated laboratories


Job description

Associate Computational Scientists, under the supervision of either a senior level (Sr to Principal) scientist or one of the Director/Associate Director/Manager in Computational Sciences, participate in the collaborative bioinformatics program aligned with institutional strategy and direction and make leading contributions to the cutting edge projects at The Jackson Laboratory. Associate Computational Scientists will closely work with the research faculty & genetic resource scientists across all three campuses of The JAX on projects of wide ranging complexity from a diverse array of biomedical disciplines such as cancer biology, ageing, immunology, infectious diseases, metabolomics, neural disorders, muscular disorders, Biostatistics & Statistical Genetics, and stem cell & developmental biology. They may also work with The JAX Mice & Services staff and Scientific Services to meet the analytical needs of The JAX's Services, clients and partners. In addition, an Associate Computational Scientist may participate in all CS departmental activities and collaborations as assigned by the supervisor or Associate Director or Director of the group to the extent assigned. They include, not limited to, helping interns, post-doctoral fellows & scientists, grant writing and possibly CS Helpdesk. Successful candidates will have in-depth knowledge and experience in some or all of the following: High Throughput Sequence (HTS) data analysis (DNA Seq, mRNA Seq, ChIP Seq, micro RNA Seq etc), microarray data analysis, high content imaging (HCI) data analysis, experimental design, data integration, algorithm development, development of sequence analysis tools (bioinformatics programming), evaluation of analytical tools and technology, and delivering training to the research community. They are continuous learners and proactive contributors. Furthermore, they will present the results to The JAX community, at conferences and workshops. Associate Computational Scientist exhibits increased ability to work independently, development of in-depth knowledge in selected biological disciplines to analyze and provide expert reasoning to the relevant projects. Provide overall project leadership that includes, not limited to, project management, logistics management, scope definition and collaboration management. Make leading contributions to grant applications. The candidates with proven track record of "omics" data or image analysis, independent collaborative work and leading contributions to a biological discipline would be preferred. They may sustain collaborations with The JAX research staff and faculty on all campuses and may visit the other sites of JAX as required.

Key Responsibilities

  • Associate Computational Scientist performs, under minimal supervision, tasks such as Computational analysis of omics data, algorithm development and implementation, as well as bioinformatics programming. May evaluate data for quality assurance and mining bioinformatics databases. Results may be presented at international conferences and workshops. Contributing to the education and training courses conducted by CS and The JAX for internal as well as external communities. (60-70%)
  • Associate Computational Scientist starts demonstrating strong potential to develop analytical expertise to a few selected biological disciplines, independent collaboration and project leadership. (20%).
  • Participate in departmental and project activities such as developing pipelines, participating in conducting courses and workshops at JAX, provide leading contributions to grant applications, helping students and scientists, possibly participating in CS Helpdesk and presenting results and processes to JAX community and at conferences and workshops as assigned. (10-20%)

Knowledge, Skills & Abilities

  • PhD in Bioinformatics, Computer Science, Biostatistics or any relevant area. The candidates who are near the completion of their PhD can also apply.
  • Associate Computational Scientist, in addition to PhD, also possess 2-5 years of experience in Bioinformatics research, excluding time spent to obtain PhD.
  • Successful incumbents demonstrate excellent verbal and written communication skills.
  • Demonstrated experience managing projects and collaborations is key.
  • Prior successes in and desire to contribute to team projects on an ongoing basis is a must.


Education Required: Doctorate Degree
Education Preferred: Doctorate Degree
Experience Required: 2 years
Experience Preferred: 5 years

Pay Range: $98885 - $165554

About JAX:

The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California),Japan andChina. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visitwww.jax.org.

EEO Statement:

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.


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