Bioinformatics Jobs

Senior Bioinformatics Expert/Scientist within the Quantitative Science and Statistics group. Working in a highly collaborative environment, the successful candidate will build and develop bioinformatics support to next generation sequencing (NGS) technologies and platforms in advancing cell and gene therapy platform. The successful candidate is expected to play an active role in leading and managing bioinformatics initiatives and work in close collaboration with wet lab scientists and internal and external collaborators.#LI-HybridKey Responsibilities:Work as a lead bioinformatics scientist both independently and as a member of cross-functional teams to lead the effort on NGS experimental design, data analysis and interpretation.Develop bioinformatics pipelines for NGS data analysis, data management and enabling data analysis pipelines in routine analysis. Provide troubleshooting and maintenance supports.Produce high quality written documentation including study protocols, data analysis plans and reports.Refine algorithms and tools for sequencing data analysis and propose improvements.Communicating internally with other departments and externally with collaborators about technological capabilities and gap analysis.Lead bioinformatics pipeline validation and transfer.Support the wider R&D team with general bioinformatics needEssential Requirements:PhD in bioinformatics, computational biology, biostatistics, molecular biology, virology or related discipline.At least 5 years of relevant industry work experience is required.Strong domain knowledge in genomics, excellent programming skills, and deep experience with next-generation sequencing and analysis.End-to-end complete life cycle experience in analysis and workflow/pipeline development for major NGS platforms for mutation analysis, genome mapping, variant calling and interpretation.Strong communication skills, ability to work both independently and collaboratively, to manage multiple concurrent, fast-paced projects and to work with multidisciplinary teams.Ability to set up bioinformatics computation systems from ground up.Experience in virology or viral gene therapy and working experience in GxP environment is considered a plusThe salary for this position is expected to range between $132,300 and $245,700 per year.The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.To learn more about the culture, rewards and benefits we offer our people click here.

About Us: Position: Bioinformatics Analyst – Proteomics & Multi-Omics Albert Einstein College of Medicine, Department of Biochemistry & Proteomics Core We are seeking a motivated and detail-oriented Bioinformatics Analyst to join the Sidoli Laboratory and Proteomics Core at the Albert Einstein College of Medicine. This entry-level position offers the opportunity to work at the interface of experimental and computational biology, contributing to cutting-edge biomedical research projects in aging, chromatin biology, cancer, metabolism, and single-cell proteomics. The analyst will support data processing, analysis, and integration across proteomics, transcriptomics, and other high-throughput biological datasets generated in close collaboration with research groups across the institution. POSITION RESPONSIBILITIES: Key Responsibilities • Process, analyze, and visualize mass spectrometry-based proteomics data (DDA, DIA, SILAC, single-cell proteomics). • Develop and maintain reproducible computational pipelines using Python, R, and shell scripting. • Implement statistical and machine-learning approaches for high-dimensional data integration. • Collaborate with faculty, postdocs, and students to interpret results and generate mechanistic insights. • Maintain accurate documentation of analyses, workflows, and results for publication and reproducibility. • Support data management, including version control, large-scale storage, and compliance with institutional data security policies. • Contribute to lab meetings, grant proposals, and manuscript preparation. QUALIFICATIONS: Qualifications Required • Bachelor’s degree in Bioinformatics, Computational Biology, Computer Science, or related field. • Familiarity with proteomics or high-throughput sequencing data analysis. • Basic programming skills in Python, R, or comparable languages. • Experience working in Unix/Linux environments and using version control (e.g., Git). • Analytical and problem-solving skills. • Excellent communication and organizational abilities. Preferred • Experience with proteomics data analysis tools (e.g., MaxQuant, DIA-NN, Spectronaut, Skyline) and/or RNA-seq analysis frameworks. • Knowledge of statistical modeling and data visualization for biological applications. • Exposure to HPC clusters or cloud computing environments. • Familiarity with reproducible research practices (e.g., R Markdown, Jupyter, Docker/Singularity). Minimum Salary Range: USD $60,000.00/Yr. Maximum Salary Range: USD $65,000.00/Yr.

Azenta Inc. At Azenta, new ideas, new technologies and new ways of thinking are driving our future. Our customer focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships. All we accomplish is grounded in our core values of Customer Focus, Achievement, Accountability, Teamwork, Employee Value and Integrity Job Title Associate Bioinformatics Scientist Job Description Position Title: Associate Bioinformatics Scientist Location: New Jersey Shift: M-F 9am-5pm Intro At Azenta, new ideas, new technologies and new ways of thinking are driving our future. Our customer-focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships. Azenta Life Sciences is a global leader in the life sciences space with headquarters in Burlington, MA, and offices and operations worldwide. We are a market leader in automated bio sample management solutions and genomic services across areas such as drug development, clinical and advanced cell therapies for the industry's top pharmaceutical, biotech, academic and healthcare institutions globally. We provide unparalleled capabilities with our lab analysis, sample management and storage services, informatics software, and consumables, with the largest installed base managing over 1 billion samples globally. What You’ll Do • Perform data analysis and generate reports for customer projects • Evaluate and identify optimal NGS data analysis solutions • Conduct literature search for various genomics research areas • Provide customer interface assistance for bioinformatics results • Support data analysis and report request from internal groups What You Will Bring • M.S. in Bioinformatics-related filed with 0-2 years of experience • Strong mathematical and analytical skills • Proficient in at least one programming language: R or Python • Experience with NGS data analysis; bonus if have additional experience in long-read analysis • Proficient in BI analysis pipelines and solutions • Efficient in problem solving and troubleshooting • Bonus if with wet-lab experience in at least one NGS/third-generation sequencing workflow. EOE M/F/Disabled/Vet If any applicant is unable to complete an application or respond to a job opening because of a disability, please email at Recruiting@azenta.com for assistance. Azenta is an Equal Opportunity Employer. This company considers candidates regardless of race, color, age, religion, gender, sexual orientation, gender identity, national origin, disability or veteran status. United States Base Compensation: $66,000.00 - $82,000.00 The posted pay range for this position is an estimate based on current market data and internal pay structure. Final compensation may vary above or below this range depending on factors such as experience, education (including licensure and certifications), qualifications, performance, and geographic location, among other relevant business or organizational needs.

Senior Bioinformatics Scientist Location: East Brunswick, NJ Company Description Sonder Research X is a pioneering biotechnology company focused on transforming cancer diagnostics. By integrating advanced imaging, artificial intelligence, and molecular analysis, our multidisciplinary team sits at the intersection of biology, data science, and clinical research, developing breakthrough technologies for early cancer detection. About the Role We are seeking a Senior Bioinformatics Scientist to play a key role in advancing our multimodal cancer detection platform. This position will focus on developing and optimizing computational methods that integrate genomic, proteomic, and imaging data, enabling new insights into disease biology and driving progress toward regulatory submissions. The ideal candidate will bring both deep technical expertise and a strong track record of applying bioinformatics to translational research. Key Responsibilities • Design, build, and validate ML models for image and proteomics data. • Develop methods for integrating imaging, clinical, and multi-omics datasets to generate clinically actionable insights. • Contribute bioinformatics expertise to FDA/regulatory documentation and support clinical validation studies. • Develop, benchmark, and maintain computational pipelines for large-scale omics datasets (NGS, scRNA-seq, proteomics). • Partner with AI/ML engineers, pathologists, and biologists to define computational approaches and research goals. Ensure best practices in reproducibility, version control, and cloud-based data workflows. • Communicate findings clearly to both technical and non-technical stakeholders, including contributions to manuscripts, presentations, and grant proposals. Qualifications • Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related quantitative field. • 5–8 years of postdoctoral or industry experience in bioinformatics, computational biology, or related field. • Proven expertise in NGS data analysis, with strong proficiency in tools such as GATK, Samtools, DESeq2, edgeR, Seurat, or Scanpy. Strong programming skills in Python and/or R; experience with Snakemake/Nextflow, Docker, and cloud environments (AWS, GCP). • Familiarity with GCP tools (BigQuery, Vertex AI). • Experience with explainable AI methods (e.g., SHAP, LIME) and their application to biological data. • Exposure to digital pathology or biomarker discovery is a strong plus. • Excellent problem-solving, communication, and collaboration skills in a fast-paced research environment. What We Offer • Competitive Compensation: Base salary in the range of $120,000–$145,000, commensurate with experience. • Impactful Work: The opportunity to shape novel technologies for early cancer detection. • Growth & Development: Significant opportunities for professional advancement in a collaborative, mission-driven environment. • Cutting-Edge Resources: Work with state-of-the-art computational and laboratory tools alongside an exceptional interdisciplinary team. This position requires the candidate to work full-time from our North Brunswick Laboratory. Additionally, please indicate in your email inquiry if you will require Sonder to sponsor a visa now or in the future, and specify your desired salary range. These questions must be answered to move your application forward for review.

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Bioinformatics Programmer/Analyst working in a Molecular Diagnostics environment. NYU Langone Health, a world-class, patient-centered, integrated, academic medical center, and one of the nations premier centers for excellence in clinical care, biomedical research and medical education, is seeking highly motivated, enthusiastic individual to join the Department of Molecular Pathology working in the field of Clinical Genomics and Precision Medicine. The Molecular Pathology Lab at NYU Langone Health with Applied Bioinformatics Laboratories (ABL) are seeking a highly motivated, enthusiastic and creative individual to become a member of our clinical bioinformatics team. Working in the Department of Molecular Pathology as a Bioinformatics Analyst specializing in molecular diagnostics, you will be responsible for the analysis of next-generation sequencing (NGS) data conformant to CLIA / CLEP and FDA guidelines. You will work as part of a team of highly experienced laboratory and informatics scientists at the NYU Langone Health Molecular Pathology Laboratory. The primary responsibilities include and are not limited to end-to-end analysis of next generation sequencing data using established pipelines, data quality control, assisting in validation of new clinical assays, and performing custom case-by-case bioinformatics analyses. You will be part of a clinical lab team of scientists and laboratory personnel taking an active part in generating, developing, and reporting patient sample genomic profile reports. You will be responsible to help implement and benchmark the most up to date algorithms used in clinical sequencing analyses. You will assist clinical informatics and laboratory scientists in the programming of pipelines, and in the development and validation of new NGS based clinical laboratory tests. This is a great opportunity to quickly acquire high-in-demand bioinformatics programming skills, develop new analysis tools/pipelines, analyze challenging datasets, and be involved in cutting edge NGS based cancer diagnostics, clinical genomics and hands on precision medicine for the benefit of patients. Job Responsibilities: • Analyze clinical sequencing data using established workflows • Develop and apply novel analysis approaches to aid clinical sample variant prioritization • Benchmark new tools for sequencing data analysis and propose improvements • Analyze validation experiments for laboratory developed tests (LDT) • Implement and execute analysis pipelines and workflows using Nextflow and Singularity Containers • Assist CLIA laboratory personnel in preparing data, text and figures for case analysis, LDT validation proposals, manuscripts and external presentations • Perform and evaluate appropriate sequencing QC measures • Develop and maintain database of variants, curation, and notes. Minimum Qualifications: • To qualify you must have a M.Sc. degree with a minimum of 1 years of work or internship experience in cancer or hereditary disease, next generation sequencing (NGS) analysis or in cancer genomics or human genetics with demonstrable biomedical NGS bioinformatics skills is required • Strong programming skills in Python, R and shell scripting • Basic understanding of human genetics • Work experience and algorithm understanding of standard software tools used to generate and manipulate FASTQ, BAM, VCF files including but not limited to BWA, GATK, Picard, samtools, bcftools • Knowledge in the analysis of SNV, Indel, CNV and structural variants for both somatic and germline disease, additional understanding of variant annotation • Familiarity with various NGS QC principles • Work experience with commonly used public genomics datasets (1000 genomes, ExAC, OMIM, gnomAD, ClinVar, HGMD, CIViCDB, PharmGKB, OncoKB, etc.) • Detail-oriented, well-organized and an interest in clinical sequencing and disease related or cancer genomics • Team oriented with excellent written and verbal communication skills • This position is an onsite role for a minimum of 6 months with the potential for hybrid role after that based on performance, no fully remote work at this time. Preferred Qualifications: • Prior experience working in CLIA environment is a plus • Experience in variant calling benchmarking and clinical validation analysis (e.g. concordance, limit of detection, assay reproducibility) • Experience of working in a Linux environment, experience with SGE • Experience with running workflows on public cloud (GCP / AWS) • Experience with developing and querying databases using SQL queries • Experience with web-development (HTML, CSS, JavaScript, TypeScript and related) Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $67,771.14 - $75,955.36 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Job Description: The successful candidate will work closely with stakeholders in the Quantitative Medicine and Genomics (QM&G) organization to develop predictive AI/ML models using large-scale transcriptomic and imaging datasets to elucidate drug mechanism of action (MOA). Key responsibilities can include ingesting public data, performing data clean-up to ensure model compatibility, integrating external and internal datasets, and optimizing multi-model models. This role offers the opportunity to make a direct impact on drug development by delivering innovative data science solutions across cross-functional projects. Responsibilities: • Support senior analysts in implementing, training, and troubleshooting AI models. • Ingest, clean, and preprocess large-scale transcriptomic and imaging datasets for AI workflows. • Collaborate with scientific and technical teams to translate biological questions into computational solutions. • Document processes and outcomes ensuring reproducibility and transparency. • Assist in interpreting model outputs to advance the understanding of drug MOA. • Work with agility on time-bound projects with critical deliverables. Requirements: • MS degree (5+ years of experience) or PhD (0 years of experience) in a quantitative field (Bioinformatics, Computer Science, Computational Genetics, Biostatistics, AI/ Machine Learning Engineer or other field with a strong quantitative and computational background) Proficiency in Python and standard ML libraries. • Proficiency working on HPC or cloud environments. • Domain knowledge in bioinformatics/computational biology. • Strong attention to detail, documentation, and communication skills. • Ability to independently execute and troubleshoot research plan. Preferred skills: • Experience with NumPy, Pandas, Scikit-learn, Matplotlib, and seaborn. • Experience with TensorFlow, and/or PyTorch. • Experience with git for version control and collaboration. • Experience with OpenCV, Scikit-image, and computer vision deep learning models. • Experience with multi-modal models. Top skills: • Implementing, training AI/ML models. • Data pre-processing for AI compatibility. • Domain knowledge of bioinformatics. • Experience working with genomic data. • Ability to communicate results clearly.

Let’s be real, bioinformatics isn’t the type of field that gets casually discussed in everyday conversations. But if you’re even a little bit into biology, tech, or data, you’ve probably heard why a bioinformatics internship is becoming a big deal in research labs, healthcare startups, and pharma companies. It mixes biology and computer science in a way that makes you feel like you’re working on problems that actually matter, like figuring out disease pathways or designing tools that can help speed up drug discovery. Students who are selected for these internships aren’t just doing it for resume points. Many companies are looking for practical exposure, team projects, and the kind of mentorship that connects classroom theory to real-world applications. Whether you’re coding gene sequences, analyzing protein interactions, or just attending project briefings, it’s all valuable experience. A lot of undergraduate students also go after summer internships in bioinformatics because they want to figure out if this is something they want to keep doing long-term. Some have a coding background but no real biology experience. Others come from a biochem background but have barely touched Python before. Internships help fill those gaps, and it’s a low-pressure way to test your skills and see if you like it. For More Information Technology Internships: Click Here Bioinformatics Internships in USA | Genetics Research & Data Science Roles What Even Is Bioinformatics? If you’re hearing the word “bioinformatics” for the first time and thinking it sounds like a complicated science-fiction thing, you’re not totally wrong. But it’s actually way more down-to-earth and useful than it sounds. Bioinformatics is the field where biology and computer science come together. Imagine using code to analyze DNA, study genes, or figure out how diseases evolve; that’s bioinformatics. It helps scientists understand biological data through technology. Instead of running lab tests all day, you’re writing scripts, running software, and visualizing data that helps answer huge scientific questions. This is the stuff behind personalized medicine, disease prediction models, vaccine design, and way more. Where Can You Intern in Bioinformatics and What Kind of Work Will You Do? The great part about this field is that an internship in bioinformatics can happen in so many places. You’ve got research labs at universities, biotech companies, hospital systems, and even startups working on revolutionary health tools. Each place offers something different. In a hospital facility, for example, you might be working with real patient data and helping analyze large datasets to support diagnostics. At a start-up, you could be building data pipelines or contributing to a web app that visualizes DNA sequences. People often assume that internships in this space are only for PhDs, but that’s not true at all. There are plenty of internships for undergraduates, especially if you’ve got the basics down. Here’s the kind of work you might be doing: • Writing scripts to clean or analyze large genomic datasets • Helping develop machine learning models to detect patterns in genetic data • Assisting in the visualization of biological networks using tools like Cytoscape or R • Reviewing biological literature to support computational models • Supporting the integration of multi-omics data into existing workflows Every project feels different, and even if you’re just observing at first, you can pick things up quickly when the environment is fast-paced and collaborative. Remote Internships in Bioinformatics Not everyone can move across the country just for an internship. That’s why bioinformatics internship remote opportunities are becoming a lot more popular, especially with companies that already have distributed teams. Remote setup doesn’t mean you’re missing out, either. In fact, for a lot of students, it’s even better. You get the flexibility of working from home while still contributing to real projects, attending team meetings, and learning tools that are used in the field. If you’re organized and self-motivated, remote internships can feel just as fulfilling as in-person ones. A remote internship in bioinformatics with a stipend also helps students who can’t afford to take unpaid positions. Companies that pay usually cover things like software access, mentorship calls, and sometimes even send merchandise or home office support. If you’re trying to figure out whether remote roles are legit, just check job boards or sites like LinkedIn, and you’ll find a growing number of openings across countries. You might not be grabbing a coffee with your mentor, but you’ll still get to present your project, participate in knowledge-sharing calls, and stay connected with a smart and supportive team. How to Get in (Even Without Perfect Grades or a Strong Resume) This is where a lot of students panic, but you honestly don’t need to be an expert coder or a published researcher to land a spot. What matters most is that you’re curious, willing to learn, and open to feedback. If you’ve done a few projects in class, maybe messed around with bioinformatics tools on your own, or taken a short course online, you’ve already got something to show. Whether you’re looking into a summer internship in bioinformatics or just checking listings out of curiosity, the key is to apply even if you think you’re not “qualified enough.” Everyone starts somewhere, and a lot of labs and companies love students who bring enthusiasm and fresh energy. When you apply, just keep your application super focused and personal. Highlight any experience you have with: • Coding languages like Python, R, or Bash • Tools like BLAST, Bioconductor, or Jupyter notebooks • Class projects that involved working with data • Online certifications or courses in genomics or computational biology • Research posters, lab experiences, or even school science fair projects And if you’re looking to boost your odds, check out options like internships at the National Institutes of Health (NIH) in bioinformatics or even niche labs that might not advertise but accept email inquiries. You don’t have to follow the same path as everyone else. Sometimes, a cold email and a clear pitch will get you through faster than any job portal ever could. Tools You’ll Actually Use in a Bioinformatics Internship When you begin your internship in bioinformatics, one of the first things you’ll notice is how much of your work revolves around tools you probably didn’t touch in class. This isn’t just about copying formulas into spreadsheets. You’re working with actual software and scripts that help process complex biological data. Most of the projects involve running code, visualising massive datasets, or using open-source platforms to pull insights out of noisy genomic data. If you’re already familiar with a few programming basics, you’ll settle in quickly. If not, no worries. The learning experience is real, but it’s manageable. The important part is staying curious and not being afraid to experiment. Everyone starts somewhere, and most teams don’t expect you to be an expert on day one. • Python is the go-to language for scripting and building analysis workflows • R is super helpful when you’re doing statistical analysis or plotting gene trends • BLAST is used for comparing DNA and protein sequences quickly • Bioconductor gives access to biodata libraries inside R for deeper analysis • Jupyter Notebooks help you share and document your code in a clean, readable way • Galaxy is a browser-based platform for running bioinformatics workflows • Cytoscape helps visualise molecular interaction networks and complex relationships • Command-line tools (like Bash or Unix) are often used to handle big files and pipelines A Day in the Life of a Bioinformatics Intern Every internship is different, but if you’re wondering what your daily routine might look like during this internship, it’s usually a combination of structure and flexibility. The day often starts with checking in with your mentor, planning out your tasks, and getting started with coding or reading. There might be a mid-day meeting with other interns, or you might get feedback on something you submitted the day before. No matter what the schedule looks like, you’ll be learning constantly and getting used to how real bioinformatics teams work together. • Morning check-in or quick status update with your assigned mentor • Reviewing documentation or research papers related to your current task • Writing scripts to clean, format, or analyze biological datasets • Attending a team sync or intern Q&A session in the afternoon • Debugging issues or optimizing existing workflows for performance • Reading through tutorials or Slack threads to solve blockers • Wrapping up with notes on progress or sending updates to your team What Recruiters Are Looking for (And What They’re Not) This section isn’t about grades or perfect GPAs. Most teams are looking for curiosity, effort, and basic problem-solving. You’re not expected to be a genius, but you should have a mindset that’s flexible and open. Whether you’re applying for a summer internship in bioinformatics or a semester-long gig, these are the types of traits and skills recruiters usually want to see: • Currently enrolled in an undergrad, postgrad, or equivalent academic program • Studying something related to bio, computer science, biochem, engineering, or data science • Comfortable with basic coding (even if it’s just Python or R) • Interest in data-driven research, genome analysis, or algorithm-based tools • Good communicator and someone who’s open to asking questions • Self-organized and okay with working remotely or independently if needed • Any kind of side project, classwork, or certificate related to bioinformatics • Passion for science and tech How to Pick the Right Internship for You Not all internships are the same, and picking the first one you find just to “get something” isn’t always the smartest move. An internship in bioinformatics should match your level, interests, and learning style. If you like research and want to explore scientific questions, then academic labs or university-based roles might be your best fit. These give you the chance to work on published studies, attend lab meetings, and focus more on the science behind the data. But if you’re more into real-world coding, building tools, or working on actual applications, then a healthcare startup or a pharmaceutical company might be a better pick. Startups generally move fast and give interns more freedom, while larger companies have more structure and support. Before applying, read through the internship description carefully, check out the company culture on LinkedIn or Reddit, and ask yourself if the work aligns with what you want to learn. Best Online Certifications That Actually Help You don’t need a huge list of credentials to apply, but a few well-chosen certifications can seriously boost your resume. If you’re applying for an internship in bioinformatics for undergraduates, and you want to stand out even with limited experience, a short online course can show recruiters you’re putting in the effort. • Coursera’s “Genomic Data Science” from Johns Hopkins teaches real-world skills • edX offers “Bioinformatics” courses with labs from places like Harvard and MIT • NIH has training modules in sequence alignment, genetics, and more • Codecademy and DataCamp help build your Python or R foundations • UC Santa Cruz’s Genome Browser has tutorials you can add to your skill list • Some internships even link to their preferred course track in the listings Perks, Pay, and What Intern Life Actually Feels Like Wanna know what it’s like being a bioinformatics intern day to day and how much you get paid? A lot of students’ stress about whether it’s worth applying if the internship doesn’t offer a salary, and honestly, it depends on where you work. Some academic research labs are unpaid or offer stipends, while corporate and private sector roles almost always come with monthly compensation. In the US and some international roles, bioinformatics internship salaries tend to fall between $2,000 and $4,000 per month, depending on the company and your experience. However, the value of these internships goes beyond just the money. You’re joining real projects, working with scientists, developers, and data teams, and actually contributing to something. • Companies may offer relocation help, travel stipends, or housing in some cases • Interns usually get access to premium software, datasets, or cloud tools • You might attend team meetings, seminars, or even contribute to published work • Labs and companies often offer mentorship, 1-on-1 sessions, or shadowing • Interns sometimes get invited to end-of-project presentations or showcase events • Remote internships often come with flexible hours and asynchronous communication tools • You’ll likely use platforms like GitHub, Slack, Jupyter, and internal dashboards • Most teams treat interns as junior contributors, not assistants or background helpers • The experience is often good enough to land future jobs or full-time offers How to Apply for a Bioinformatics Internship The application process for a Bioinformatics Internship isn’t that complicated, but you do need to be organized and early. Most students look up listings and just submit one resume and wait. But the smart move is to treat this as a mini project. If you’re aiming for something like a remote internship or even one that’s more lab-focused, the first thing to do is gather your resume, project samples (if you have any), and maybe a short intro letter that sounds like you. Apply early, follow up respectfully, and don’t hesitate to reach out even if a listing looks competitive. • Search for internships on LinkedIn, RippleMatch, Glassdoor, or niche job boards. • Visit the official lab websites or university portals for academic openings. • Create a resume that highlights your biology, coding, or research-related experience. • Include personal or class projects, especially those with Python, R, or data tools. • If the internship needs a cover letter, keep it simple and specific to the role. • Apply through the company’s career portal or by emailing the lab contact directly. • Save deadlines and follow up after a week if you don’t hear back. • Stay active on platforms like GitHub or LinkedIn since recruiters sometimes notice. Apply Here Available Internship Job Title Posting Date Location Intern – Bioinformatics 07/10/2025 San Diego, CA, US Statistics Intern 07/10/2025 North Chicago, IL, US Summary A career in bioinformatics isn’t just a buzzword on your resume. It’s a real opportunity to get into one of the most interesting areas in science and tech right now. You’ll be coding, researching, and analyzing data in a way that actually makes a difference in biology and healthcare. Whether you’re joining a university lab, a biotech company, or a remote-first startup, the skills you pick up will stick with you. It’s not about being perfect or knowing everything before you apply. It’s about showing up with curiosity, effort, and the mindset to learn. And once you finish one internship, it opens up tons of doors to future roles, research, and jobs you might not have even thought about yet. FAQs Is a professional internship in bioinformatics paid? Yes, most roles offer a monthly stipend or salary, especially in private companies. How much does a bioinformatics intern make? Intern salaries can range from $2,000 to $4,000 per month, depending on location and company. Can I apply without a biology or CS degree? If you have basic coding skills or data knowledge, you can still apply — passion counts. Where can I find good internship listings? Check LinkedIn, Glassdoor, RippleMatch, and also email university research labs directly. Do I need to be in school to apply? Most internships want you to be enrolled in undergrad or grad school, but some are open to freshers too. Are remote internships common in bioinformatics? Yes, remote internships are actually super popular and often more flexible than in-person ones. What skills should I learn before applying? Python, R, BLAST, Bioconductor, and basic data visualization will help a lot. Is it okay to apply for multiple roles at once? Totally. Just make sure you tailor your resume or message a bit for each one. Do I need prior research experience? Not always. Side projects, online courses, or even coding practice can help you qualify. Can international students apply? Yes, many programs accept international students, especially remote roles.

POSITION RESPONSIBILITIES We are seeking a highly motivated Bioinformatics Analyst to join the research group of Dr. Robert Burk at Albert Einstein College of Medicine. This role is critical to supporting our ongoing molecular epidemiology and microbiome research, with a strong emphasis on human papillomavirus (HPV)-related neoplasia and the human microbiome (gut, oral, and cervicovaginal). The successful candidate will contribute to projects that have been published in high-impact journals such as Nature Communications and CELL. The ideal candidate will have a strong background in bioinformatics, epidemiology, computational biology, or a related discipline and possess demonstrated experience processing next-generation sequencing (NGS) data. This position provides an opportunity to work at the intersection of genomics, microbiome research, and epidemiology, with direct implications for cancer prevention and infectious disease research. Key Responsibilities: • NGS Data Analysis: Process and analyze high-throughput sequencing data (e.g., amplicon sequencing, bisulfite sequencing, metagenomics, viral integration) and develop bioinformatics pipelines. • Epidemiological Data Integration: Apply bioinformatics methodologies to study host-pathogen interactions, microbial communities, and genomic variations in large-scale epidemiological cohorts. • Phylogenetics & Evolutionary Analysis: Perform phylogenetic tree construction and genomic epidemiology studies for HPV and other microbiome-related investigations. • Data Management & Security: Organize, manage, and curate sequencing datasets, ensuring compliance with clinical data protection and security best practices. • Computational & Statistical Analysis: Utilize R, Python, or other computational tools to perform statistical analyses, epidemiological modeling, and data visualization. • Cross-Disciplinary Collaboration: Work closely with molecular biologists, epidemiologists, and computational scientists to integrate findings into broader translational research efforts. • Reporting & Presentation: Present findings in lab meetings, scientific conferences, and high-impact publications. • Grant & Manuscript Preparation: Contribute to research proposals and manuscript writing to support ongoing and new projects. QUALIFICATIONS • Education: Bachelor’s degree required; Master’s or Ph.D. in bioinformatics, computational biology, epidemiology, or related fields preferred. • Technical Skills: • Proficiency in R, Python, or similar languages for data analysis. • Experience with NGS data processing, microbiome bioinformatics (16S, ITS1, shotgun metagenomics), and HPV genomics. • Familiarity with machine learning/statistical modeling techniques in epidemiology is a plus. • Problem-Solving & Innovation: Strong analytical and critical thinking skills with a proactive approach to problem-solving in bioinformatics and epidemiology. • Communication & Collaboration: Ability to work in a highly interdisciplinary team and clearly communicate complex findings. Why Join Us? • Work on cutting-edge molecular epidemiology and microbiome research with direct public health impact. • Collaborate with leading experts in bioinformatics, genomics, and epidemiology. • Be part of projects published in top-tier journals such as Nature Communications and CELL. • Career development opportunities, including conference participation, grant writing experience, and authorship on high-impact publications. If you are a bioinformatics scientist eager to apply computational approaches to epidemiological and microbiome research, we encourage you to apply! Minimum Salary Range USD $58,500.00/Yr. Maximum Salary Range USD $65,000.00/Yr.

If you’re a student pursuing a degree in Bioinformatics, Computational Biology, Computer Science, or related majors, you may be a fit for a Co-op in our Research and PreClinical Development or Information Technology organizations. Please apply to one Co-op of interest that best matches your major. Our Co-op positions are January-August (Spring-Summer), May/June-December (Summer-Fall), and August-December (Fall). In this role, a typical experience might include the following: • Achieving a general understanding of what happens in our global organization • Completing hands-on project work that has an impact on the business • Engaging with Regeneron leadership • Collaborating with a specific hiring manager and other interns/co-ops • Establishing connections with Regeneron’s diverse set of employee resource groups • Participating in professional development sessions while enjoying lots of free food and swag • Showcasing the knowledge you gained through end of program presentation sessions • Getting paid for your hard work! This role might be for you if: • You want to make a difference • You advocate for your ideas – and what they can do in the world • You’re excited to think, challenge, listen, re-think and solve • You continuously look for ways to improve • You are science-minded, ask questions and challenge conventional wisdom • You work with precision, passion, thoughtfulness and integrity • You’re ready to work with the team that can bring a great idea to life • You know this is no ordinary job Please note our intern pay ranges are determined by level of education (year in school) and degree program. • The hourly rate range for Rensselaer, NY is $17.90 - $25.50 per hour. • The hourly rate range for all other locations is: $17.90-$50.90 per hour. To be considered for this opportunity, you must be enrolled in, or accepted to, an academic program pursuing an Undergraduate or Graduate degree (and be returning to school the semester following the position). A cumulative GPA of 3.0 is preferred. We want someone who is able to commit to 40 hours per week from January-August, May/June-December, or August-December. Demonstrated leadership in areas such as campus activities, clubs, sports, current or previous work, or within the community is also preferred. Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.