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Internship Deep Genomics Jobs (NOW HIRING)

Neogen

Laboratory Technician - Night Shift

Lincoln, NE

$16.50 - $22/hr

... to genotyping, and related molecular biology tasks. * Execute all duties essential to high ... interns to support workload management. * Provide input on process improvements to maximize ...

Profluent

Research Intern, Computational

Emeryville, CA · On-site +1

$1.67K/wk

Founded in 2022, we develop deep generative models to design and validate novel, functional ... Analyze large-scale genomic and protein datasets to uncover new biological insights and ...

CooperCompanies

Senior Electrical Engineer

Trumbull, CT · On-site

$105.50K - $137.40K/yr

... and genomic testing solutions. Learn more at www.coopersurgical.com. Job Summary: The Senior ... Lead and mentor interns and junior engineers. * Manage and mentor interns * Communicate key ...

Veracyte

Laboratory Intern

San Diego, CA · On-site

$20/hr

This is a 3 month summer internship. Location: San Diego (Onsite) Pay: $20/hr The Laboratory Intern ... genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence ...

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How much do internship deep genomics jobs pay per hour?

As of May 30, 2026, the average hourly pay for internship deep genomics in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Internship Deep Genomics vs Data Science Intern?

AspectInternship Deep GenomicsData Science Intern
Required CredentialsRelevant coursework in biology, genetics, or bioinformatics; basic programming skillsBackground in statistics, computer science, or data analysis; programming skills in Python/R
Work EnvironmentBiotech or pharmaceutical research labs, collaborative teams focused on genomicsTech companies, research institutions, or healthcare organizations analyzing large datasets
Employer & Industry UsageDeep Genomics specializes in AI-driven drug discovery using genomics dataData science roles are common across industries including healthcare, finance, and tech

Internship Deep Genomics focuses on applying genomics and AI in biotech settings, while Data Science Internships are broader, spanning multiple industries. Both roles require programming skills and analytical thinking but differ in industry focus and specific technical knowledge.

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Internship Deep Genomics jobs near you

Research Associate, Platform Technology

Deep Genomics

Cambridge, MA

Full-time

Posted 16 days ago

Job description

About Us
Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.
 
Opportunity 
We are looking for a passionate and detail-oriented Research Associate to become an integral part of our Platform Technology team. This is an opportunity to contribute hands-on to an AI-driven drug discovery platform, generating the experimental data that directly informs the biological models powering our therapeutic pipeline. You will bring scientific curiosity and rigor to the bench, supporting the execution of molecular and sequencing-based assays that our computational and therapeutic teams rely on to advance program goals.
 
This role offers early-career professionals a meaningful foothold in a cross functional discovery environment, with exposure to cutting-edge technologies spanning NGS workflows, liquid handling automation, and diverse RNA therapeutic modalities including ADAR editing, ASOs, siRNAs, and mRNAs. If you are eager to develop technical breadth while contributing to work that has real therapeutic impact, we encourage you to apply.
Key Responsibilities
  • Execute amplicon sequencing workflows, including NGS library preparation and targeted sequencing, under the guidance of senior team members, to support the evaluation of RNA therapeutic candidates.
  • Carry out library QC using tools such as TapeStation, Qubit and qPCR, flagging workflow bottlenecks to ensure high-quality datasets for downstream computational analysis.
  • Operate sequencing instruments such as the Illumina NextSeq, including run setup and routine troubleshooting, with increasing independence over time.
  • Perform routine molecular biology techniques including PCR, qPCR/ddPCR, and nucleic acid extractions from a variety of cell types and tissues.
  • Assist in running automated workflows on liquid handling platforms (e.g., Hamilton STAR, Agilent Bravo, Beckman Echo) to support scaling of discovery and screening activities.
  • Maintain accurate and thorough documentation of experimental plans, results, SOPs, and troubleshooting steps within an electronic lab notebook (ELN).
  • Contribute to team meetings and share experimental results and assay updates with immediate project collaborators.
Basic Qualifications
  • BS in Molecular Biology, Genetics, Genomics, Biotechnology, Biochemistry, or a related discipline with 1–3 years of relevant industry or research experience (including internships or postgraduate research).
  • Foundational knowledge of molecular and cell biology principles.
  • Some hands-on exposure to amplicon sequencing or other targeted NGS workflows; broader NGS experience is also welcomed.
  • Experience with nucleic acid extraction, quantitation, and standard molecular biology techniques such as PCR, qPCR or d(d)PCR, gel electrophoresis.
  • Strong attention to detail and commitment to rigorous, reproducible lab work. 
  • Ability to work both independently and collaboratively in a team-oriented environment.
Preferred Qualifications
  • Proficiency with liquid handling platforms such as Hamilton, Beckman, or Bravo.
  • Working familiarity with RNA therapeutic modalities such as ADAR editing, ASOs, siRNAs, or mRNA. 
  • Experience with mammalian cell culture, including transfection-based assays.
  • Prior exposure to a biotechnology, pharmaceutical, or platform-driven research environment.
What We Offer
  • A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery. 
  • Highly competitive compensation, including meaningful stock ownership.
  • Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program. 
  • Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days.
  • Maternity and parental leave top-up coverage, as well as new parent paid time off. 
  • Focus on learning and growth for all employees - learning and development budget & lunch and learns.
  • Facilities located in the heart of Toronto - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences.
Deep Genomics encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company. 
 
If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process.
 
 
*This posting reflects a current vacancy. 
 
We offer competitive compensation aligned with local market benchmarks. The salary range for this role is $75,000 - $90,000, and reflects Cambridge, USA-based roles; compensation may differ for Canada-based candidates.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.