Bioinformatics Jobs
A job board made for computational biologists and those seeking their support
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senior scientist in bioinformatics – mining the genome 4 novel transposons
Senior Scientist – Computational Biology and Bioinformatics, Kellogg Lab Be at the forefront of the gene editing revolution and contribute to developing next generation therapies for children. Top-tier compensation and benefits, supportive and collaborative team environment with unique opportunities and exciting potential for career advancement. Job Description Overview As part of the Structural Biology Department at St. Jude Children’s Research Hospital, the Kellogg lab seeks a talented computational biologist who is looking to make high-impact contributions on exciting challenges at the scientific frontier of genome-editing. The Kellogg lab uses cutting edge genetics, cryo-electron microscopy, machine-learning, and protein design to develop novel transposon-based genome-editing tools. Located on the 6th floor of the new Inspiration4 Advanced Research Center (opened in 2021), the Kellogg lab leads the forefront of research in understanding the biology of CRISPR-associated transposons (Science, 2023, Molecular Cell, 2023, Science, 2023, Nature, 2023, PNAS, 2022, Science, 2021, and more) and is well supported by the NIH, Pew Biomedical Foundation, and the Cystic Fibrosis Foundation to develop novel approaches to engineer programmable transposons for clinical gene replacement therapy. The Kellogg lab is a highly interdisciplinary scientific environment, routinely working with generously supported St. Jude research core facilities: Cryo-EM Center, the Protein Technology Center, the Single-Molecule Imaging Center, the Center for Advanced Genome Editing, and the Cell & Tissue Imaging Center. The Kellogg lab is a scientifically enriching environment with regular CRISPR supergroup discussions with Dr. Shengdar Tsai. In addition, the Kellogg lab is an active member of RosettaCommons and the Rosetta community. In this position, the candidate will be exposed to multiple, cutting edge techniques spanning cryo-electron microscopy, computational protein design, machine learning, and advanced genomics in a world class research environment aimed at advancing cures for genetic disorders. About you The successful candidate will be an independent learner with strong critical thinking skills and excellent communication skills. We are looking for someone with an outstanding independent track-record and stellar academic background. The ideal candidate is passionate about research and committed to developing tomorrow’s cures for children with devastating genetic disorders. Our ideal candidate has extensive experience in one of the following (or more): bioinformatic analyses (metagenomic mining is a major plus), reconstructing evolutionary trajectories, mining transposable element databases, etc.. Scientists are expected to operate independently by leading new research directions in the Kellogg lab. The candidate will be mentored in manuscript preparation and be given opportunities for career advancement via conference attendance and oral presentation sponsorship. Responsibilities: • Develop new research directions under close mentorship of Dr. Kellogg. • Stay up to date with latest CRISPR and transposon literature, conduct regular literature reviews in collaboration with Dr. Kellogg and other Kellogg lab members. • Collaborate with other Kellogg lab members to design & clone large DNA libraries using state of the art machine learning methods • Map phylogenetic relationships of transposons and associated systems to map functional interactions. • Develop innovative sequence profile machine-learning based protein design pipelines in collaboration with Dr. Kellogg • Collaborate with Kellogg lab members to develop novel tools/assays to collectively advance lab research goals. • Mentor Kellogg lab members in executing internally developed computational analyses and pipelines. • Prepare manuscripts and present research at relevant conferences, including but not limited to: CRISPR, transposon evolution, or genome-engineering conferences. Opportunities for Professional Growth • The candidate will be given opportunities to participate in interdisciplinary scientific research and be mentored in developing leadership skills. • The candidate will be given opportunities to develop new skills in collaboration with Kellogg lab members. • The candidate will be given opportunities to attend diverse scientific conferences in the areas of computational protein design (including the Rosetta community), machine learning, genome-editing, and transposon biology. • The candidate will be given opportunities for oral presentations at local and national venues as well as opportunities to develop independent research directions. St Jude Children’s Research Hospital is consistently named as one of Fortune magazine’s “Best Companies to Work for” and top 10 “Best Places to Work in Academia” by the Scientist Magazine. St Jude is located in Memphis, Tennessee, the 28th most populous city in America. Memphis is a historic city with an affordable cost of living along with world class dining and strong cultural tradition in music and theater. Memphis enjoys a mild, sunny climate year-round and has some of the largest outdoor green spaces of any big city. St. Jude Employees receive: • Competitive compensation packages commensurate with experience. • Excellent healthcare plans with zero to low health premium costs. • Generous retirement benefits with contributions from St. Jude • Onsite health clinic, pharmacy, and exercise facilities. • Paid parental leave and adoption assistance. • Immigration Services • Tuition Reimbursement The Kellogg lab is committed to building a lab culture that is based on respect, diversity, and inclusion which contributes to a dynamic, innovative, and creative scientific environment that is fundamentally based on empathy and intellectual curiosity. The Kellogg lab is known for their rigor and fast pace, consistently aiming for ambitious goals that greatly expand the boundaries of human knowledge. The Kellogg lab is proud to be home to ambitious, curious, and fun-loving scientists of all nationalities and backgrounds. Minimum Education Ph.D. in a relevant scientific field is required. Minimum Experience • At least one first author publication from a reputable journal. • Strong candidates from a related field (evolutionary biology, ancestral sequence reconstruction, or mining metagenomic databases) are encouraged to apply. This Position May be Ideal For: • Scientists who love doing science and mentoring junior scientists but hate looking for stable sources of funding. • Scientists who love the curiosity-driven environment of academia and the resources and support that come with industry • D.s with post-degree experience looking to expand in ambitious new directions in a translationally focused environment. • Experienced Computational Biologists looking for a stimulating, collaborative, and interdisciplinary lab environment committed to creating tomorrow’s genome-editing tools. To virtually meet Dr. Kellogg, check out The Plunge, a Cryo-EM Podcast she and two colleagues hosted. Dr. Kellogg was also recently featured on Cryo-Talk to talk about her life & work. Click on website link to apply or email us to learn more! Tagged as: Data Science, Life Sciences
Bioinformatician
Overview ATCC’s Sequencing and Bioinformatics Center is continuing to expand and is looking for a new remote Bioinformatician to join their team. The Bioinformatician is responsible for using bioinformatics tools to process, analyze, and interpret biological ‘omics data and NGS. They will support both internal ATCC teams and external client bioinformatics needs. The Bioinformatician will help visualize and present complex data and will contribute to the development and content of the ATCC Genome Portal spanning a wide range of microbial data. We are seeking a Bioinformatician with genomics and whole genome sequencing experience familiar with computational biology software in a Linux cluster environment. Apply today for immediate consideration. #LI-Remote Responsibilities • Run and assist in writing and custom bioinformatics scripts using existing published tools and occasionally tools developed for purpose, summarize the results in a digestible manner and deliver the information using established reporting procedures. • Leverage current ML/AI data science techniques to enhance analysis and expand team expertise having a familiarity with ML libraries (e.g. Scikit-learn, Tensorflow, PyTorch, Biopython) as well as biological models (e.g. DNA/ProteinBERT).• Support staff with writing, maintaining, and improving production scripts which automate processes and analyses related to NGS.• Support the publication of WGS and varied data types to the ATCC Genome Portal by continuous development of routine data management and processing to ensure timely processing and adhering to defined quality assurance criteria.• Collaborate with cross-functional teams to support research and development projects supporting experimental design and data interpretation. Utilize data visualization methods to effectively communicate complex biological data insights.• Work within departmental code style guidelines while also contributing to their evolution and participate in regularly scheduled code reviews to ensure code quality. Qualifications The expected salary range for this position is $80,000 to $85,000 annually. Actual compensation will be determined based on experience and qualifications as well as internal equity and alignment with market data. In addition to base salary, this role may be eligible for additional incentive compensation including regular merit increases and the corporate bonus program. Education and Experience: • Bachelor's degree and 2-5 years' experience or equivalent experience. • Master’s degree 0-3 years of relevant experience. • Degrees should be in Computer Science, Bioinformatics, Data Science, or Computational Biology and similar fields. Knowledge, Skills and Abilities: • Experience with bioinformatics tools and databases such as BLAST, Ensembl, and UCSC Genome Browser. • Familiarity with cloud computing platforms like AWS or Google Cloud for bioinformatics applications. • Strong programming skills in languages such as Python, R, or Perl. • Ability to create various types of visualizations, including line plots, bar charts, histograms, scatter plots, and heat maps, to represent data trends, distributions, and correlations. • Strong understanding of next-generation sequencing (NGS). • Good interpersonal and communication skills. Preferred Qualification: • Experience with tools and libraries such as RShiny, RMarkdown, Python, Jupyter Notebooks, and ggplot2 for creating interactive and static visualizations. • Familiarity with Linux high-performance computing environments. • Experience with machine learning techniques and their application to biological data. Benefits We Invest in You • Health & Wellness: • Comprehensive medical coverage and company paid Life Insurance, Disability Insurance & AD&D • Work life balance with Paid Holidays and PTO • Fitness and cell phone subsidies, and additional benefits such as Aflac, legal services, and pet insurance • Employee Assistance Program offering around-the-clock counseling • Financial security: • 401(a) (6% employer contribution) and 403(b) (2% match) retirement plans • Exceptional career advancement opportunities, recognition, and rewards • Corporate bonus program • Mission Focused: • Non-profit organization supporting critical life science research • We give scientists the tools they need to make discoveries that improve and save lives • Contribute to community involvement and social responsibility Join ATCC, where we fuel your success, well-being, and development. We're a mission-focused non-profit Equal Opportunity Employer, celebrating a century of supporting global public health. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Shape the future of science with us.
Bioinformatics Internships
Paid bioinformatics annotator internships are available at MindSpec, Inc. We are currently developing additional interactive database modules for AutDB/SFARI Gene. Interns will be trained to extract data from scientific literature using controlled vocabularies. Qualifications: We are seeking talented and motivated individuals interested in working in a multi-disciplinary team. Responsibilities include participating in the annotation of disease-related information for data mining and visualization. The position offers an opportunity to work in the rapidly evolving area of multi-factorial disease biology in a flexible, dynamic research environment. Applicants must have or be pursuing an B.S. degree or higher in Bioinformatics/Molecular Biology/Neurobiology, or related field, with a strong knowledge of genetics, animal models or neuroimaging. Applicants should also have excellent written and oral communication skills; display good ability to work with others, and the ability to conduct assignments on multiple projects under tight deadlines. How to Apply: Please send cover letter and curriculum vitae to job@mindspec.org.
Bioinformatics Engineer, Biomedical Knowledge Base
Overview At the heart of QIAGEN’s business is a vision to make improvements in life possible. We are on an exciting mission to make a real difference in science and healthcare. We are still the entrepreneurial company we started out as and have today achieved a size where we can bring our full power to many initiatives and to our presence across the globe. Our most valuable asset are our employees – more than 6000 in over 35 locations around the world. Our ambition is to ensure we have outstanding and passionate people working in the best teams and we are constantly looking for new talent to join us. There are few players who have shaped the world of modern science and healthcare as much as QIAGEN, and we have only just started. If you are looking to advance your career, are seeking new challenges and opportunities, enjoy working in dynamic and international, diverse teams and want to make a real impact on people’s lives, then QIAGEN is where you need to be. Join us. At QIAGEN, you make a difference every day. Position Description QIAGEN Digital Insights is a leading provider of bioinformatics software and knowledge bases used by life scientists to gain insight from the molecular information in their biological samples. We have developed industry-leading software tools for analysis and reporting of biological data. We are passionate about our users, products, and our vision, and are seeking smart, motivated engineers and scientists who are eager to join our team in creating software that helps improve people's lives. Our mission is to make improvements in life possible. We accomplish this by designing tools used in labs all over the world to facilitate scientific discovery and progress, focused on genomics. As a Bioinformatics Engineer in the Content Development team, you will play a critical role in maintaining and extending QIAGEN’s biomedical knowledge base by integrating new knowledge from public data sources. You will also contribute to data quality efforts by defining and implementing test plans, helping to ensure the accuracy and completeness of content delivered to our downstream application teams. Responsibilities - Develop and maintain bioinformatics software tools and pipelines to ingest, transform, and export vast amounts of biomedical data. - Maintain and extend a complex biomedical ontology spanning the entire range of biological entities and processes relevant to life science R&D and clinical genomics. - Collaborate with product management and application software developers to investigate new content sources and define requirements for content development projects. - Contribute to data quality efforts by defining and implementing test plans, helping to ensure the accuracy and reliability of the biomedical knowledge base. Position Requirements - Undergraduate degree in computer science, molecular biology, bioengineering, or a related M.S. or Ph.D. degree preferred. - 5+ years of industry experience in bioinformatics, including experience writing production-quality code for bioinformatics tools and pipelines. - Strong software development fundamentals, with experience in multiple general-purpose programming languages, including Python, and comfort operating in a Linux environment. Competence with software engineering best practices such as version control (git), code review, unit and integration testing, documentation, and collaborative development. - Experience with multiple data modeling paradigms, including relational databases (SQL) and non-relational approaches such as graph databases (e.g., AWS Neptune, Neo4j). - Hands-on experience with biomedical ontologies and related technologies such as RDF and OWL. - Familiarity with common biological databases such as NCBI, UniProt, Ensembl. Personal Requirements - Location: Redwood City, California (will need to come onsite). The estimated base salary range for this position is $100,000 - $150,000. Compensation will be based on the candidate’s experience, skills, geographic location, and other job-related factors. In addition to base salary, we offer a total compensation package that includes a bonus plan and generous benefits. What we offer At the heart of QIAGEN are our people who drive our success. We act with passion, always challenging the status quo to drive innovation and continuous improvement. We inspire with our leadership and make an impact with our actions. We create a collaborative, safe and engaging workplace which forms the basis for high performing individuals and teams. We drive accountability and entrepreneurial decision-making and want you to excel your growth and shape the future of QIAGEN. QIAGEN is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including but not limited to assumptions about a person’s appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. QIAGEN complies with applicable laws regarding the confidentiality of employee health information and the reasonable accommodation of individuals with disabilities and/or sincerely held religious beliefs. Candidates who require accommodation should contact Benefits@QIAGEN.com. This policy is part of QIAGEN’s ongoing efforts to support public health efforts and to ensure the safety and-well-being of its employees, customers, business partners, and community.
Bioinformatics Programmer Analyst II - Gynecologic Cancer Center for Excellence
Overview: Join the HJF Team! HJF is seeking a Bioinformatics Programmer Analyst II to analyze, design, develop, modify, test, and implement software tools and scripts to support analysis of bioinformatic data. Reviews user needs and requests and to develop bioinformatic pipelines supporting primary analysis of clinical, proteomeand genome data. Participates in the development of and ensures adherence to project schedules. Develops custom scripts and applications, test applications, create software patches, and perform routine maintenance. This position will be in support of Gynecologic Cancer-Center of Excellence (GYN-COE) located at the Women’s Health Integrated Research Center (WHIRC) in Annandale, Virginia. The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals. Responsibilities: • Analyze, design, develop, modify, test, and implement software tools and scripts to support bioinformatic analysis of multi-omic data including clinical, proteome and genome data levels. • Creates detailed test cases and document all programming and systems changes to include flowcharts, layouts, diagrams, charts, code comments, and revision dates. • Uses a variety of technologies, including scripting languages, proprietary and open source software development tools and various data management platforms to create applications, utilities and integrations to help automate research data processing and analysis. • Evaluate and configure systems and peripherals for performance and serviceability, reliability, availability, and performs operational requirement studies within a system environment context. Recommends enhancements or changes to the system configuration to maintain optimum system performance and utility. • Arranges project requirements in programming sequence by analyzing requirements; prepares a workflow chart and diagram using knowledge of computer capabilities, subject matter, programming language, and logic. • Works with senior scientists, data analysts and Information Technology (IT) personnel to determine and design the best technical solutions. • May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role. Qualifications: Education and Experience • Bachelor's Degree in Computer Science, Computational Biology, Bioinformatics, or related field. • Minimum of 3-5 years experience required Required Knowledge, Skills and Abilities • Working knowledge of bioinformatics tools and software including R, MATLAB, Perl and Python. Experience with R Shiny desired, but not required. • Demonstrated expertise in bioinformatic data analysis that ideally includes co-authored scientific publications and conference abstracts. • Experience with one or more web client technologies, e.g. JSP, HTML, CSS, JavaScript, AJAX, jQuery, and ExtJS. • Experience with relational database application development and Structured Query Language (SQL, MySQL, etc.) skills. • Strong analytical and problem-solving skills and the desire to learn new technologies. • Strong Java object-oriented design and coding skills with Java-based server technologies. • Excellent communications skills and the ability to work effectively in the scientific research domain. Physical Capabilities • Ability to stand or sit at a computer for prolonged periods. Work Environment • This position will take place primarily in an office setting. Compensation • The annual salary range for this position is $64,200-$80,000. Actual salary will be determined based on experience, education, etc. Benefits • HJF offers a comprehensive suite of benefits focused on your health and well-being, from medical, dental, and vision coverage to health savings and retirement plans, and more. Employment with HJF is contingent upon successful completion of a background check, which may include, but is not limited to, contacting your professional references, verification of previous employment, education and credentials, a criminal background check, and a department of motor vehicle (DMV) check if applicable. Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c) Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.
Bioinformatics Developer Fellow
Description Leidos Public Health Division has a 3-month paid fellowship program for a PhD student scientist specialized in Bioinformatics science and pipeline development. The graduate fellow will work with Leidos on bioinformatics projects of public health importance. The ideal candidate will have strong experience in Transcriptomics, NGS data analysis, including QC, assembly, annotation, alignment, variant detection, and preferably phylogenetic analysis of microbial genomes and metagenomes. Extensive hands-on experience with bioinformatics pipeline development using Nextflow is expected. This fellowship may be extended beyond 3 months and is open to telecommuting, location preferred Atlanta, GA. Responsibilities • Develop, test, and deploy bioinformatics data pipelines and workflows using Nextflow. • Develop and execute bioinformatics algorithms and workflows in HPC (high-performance computing) environments. • Write customs scripts and software to perform bioinformatics analysis using Python, Perl and/or R. • Perform bioinformatics analysis using open-source bioinformatics tools as well as licensed proprietary software such as CLC Genomics Workbench and Geneious. Support modeling and simulation of evolutionary and population bological process using Bayesian inference and/or genetic algorithms. • Use statistical analysis tools, interpret and communicate results. • Develop tools for visualizing complex biological datasets and able to interpret and communicate results as well as uncertainty to a diverse group of customers. • Develop and maintain highly curated genomic sequence databases, signature databases for virulence and AMR markers, strain type and pathogen type markers. • Work together with the DevOps team in adopting best software engineering practices for tool and workflow development. • Assist with developing standard operating procedures for bioinformatics analyses. • Supports public health researchers in creating and submitting publication and poster presentations. MINIMUM QUALIFICATIONS: • A PhD candidate in their advanced state (e.g. 4th or 5th year) of their study in bioinformatics, genomics, molecular biology, genetics or related field. • 2+ years of hands-on bioinformatics experience through academic or research work. • Experience in developing pipelines using Nextflow (primary), Snakemake, and/or Workflow Description Language (WDL). • Experience with processing of high-throughput data and possessing strong data management and analysis skills. • Experience working in Linux environments and broad experience with open source bioinformatics tools. • Proficient coding/scripting in Python, R, Perl • Experience working in a high-performance computing environment • Strong communication skills PREFERRED QUALIFICATIONS: • A PhD candidate in their advanced state (e.g. 4th or 5th year) of their study in bioinformatics, genomics, molecular biology, genetics or related field. • Hands on bioinformatics development experience in public health. • Experience in designing and conducting training workshops to the bioinformatics community on latest bioinformatics methods and concepts. • Previous internship or fellowship experience at the CDC or other public health agencies. ELIGIBILITY Applicants should demonstrate a strong interest in careers focused on bioinformatics development and public health. To be eligible, candidates must: • Be a U.S. citizen • A current Ph.D. candidate (expecting to graduate in 2025 or 2026) in bioinformatics, genomics, molecular biology, genetics, or a closely related field from an accredited institution • Be able to successfully pass a background check for CDC clearance • Successfully complete a bioinformatics development exercise Location: 100% remote with preference for metro Atlanta, GA Original Posting: July 14, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $55,250.00 - $99,875.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. #Remote
Bioinformatics Analyst
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 Analyst. In this role, the successful candidate is responsible for collaborating with Principal Investigators (PI) and working independently within the scientific framework of the PI's laboratory. NYU Langone Health Medical Center, 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 a highly motivated, enthusiastic individual to join the Villanueva Lab at the Perlmutter Cancer Center. The successful candidate will be responsible for genome analysis, algorithm development, and innovative cutting-edge cancer research for biomarker development in liver cancer. Job Responsibilities: • Analyze high-throughput sequencing data (e.g., RNA-seq, WGS, WES, ChiP-seq, Single-cell RNAseq and Spatial genomics). • Develop and maintain bioinformatics pipelines for data processing and analysis. • Provide analytical support to other members of the Liver Cancer Program at PCC. • Assist in the design, implementation and execution of novel algorithms in lab centered and collaborative research projects. • Integrate and visualize multi-omics datasets to support biomarker research and discovery.Integrate and visualize multi-omics datasets to support biomarker research and discovery. • Contribute to publications, grant proposals, and presentations. • Design, manage, and maintain databases to ensure data integrity, accessibility, and security. • Able to work independently. • Other duties as assigned. Minimum Qualifications: To qualify you must have a B.S. in mathematics, biological sciences, computer science or related disciplines. Experience in Unix/Linux systems including HPC environments. Scripting languages: Python or Perl. Statistical packages: R (preferred) or Matlab. Excellent communication skills with proficiency in written and oral English. Preferred Qualifications: Strong biostatistical foundations (regression, survival analyses, longitudinal data analysis, biomarker development and calibration. Experience with common genomics tools (bwa, samtools, bcftools, bedtools, Genomic Ranges) and file formats (bam, vcf, bigwig, bed, etc.). Experience working with clinical or health-related data. Experience working with RedCap. Familiarity with data standards such as CDISC, SDTM, or ADaM. Expertise in meta-analyses. Experience in version control (Git). Experience with bioinformatics tools and databases (e.g., BLAST, GATK, Bioconductor, Ensembl). Experience with relational databases (e.g., MySQL). 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. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. 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 - $76,404.80 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
Bioinformatics Scientist
Job Description We are looking for a Biology Expert to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert understanding of biology- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Microbiology, Cell Biology, Genetics, Physiology, Biochemistry, Molecular Biology, Biotechnology, Environmental Science. Benefits: • This is a full-time or part-time REMOTE position • You'll be able to choose which projects you want to work on • You can work on your own schedule • Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex biology problems and evaluate their outputs • Evaluate the quality produced by AI models for correctness and performance Qualifications: • A current, in progress, or completed Masters and/or PhD is preferred but not required • Fluency in English (native or bilingual level) • Detail-oriented • Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you.
Bioinformatics Programmer 1 - 136064
Payroll Title: BIOINFORMATICS PROGR 1 Department: PEDIATRICS Hiring Pay Scale $69,500.00 - $96,500.00 / Year Worksite: La Jolla Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 Hour Shifts, Monday - Friday #136064 Bioinformatics Programmer 1 Filing Deadline: Tue 8/5/2025 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. UCSD Layoff from Career Appointment: Apply by 7/24/2025 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 8/05/2025. Eligible Special Selection clients should contact their Disability Counselor for assistance. DESCRIPTION Department of Pediatrics is one of the largest departments within the UCSD School of Medicine with comprehensive clinical programs, extensive basic science and clinical research, and diverse educational opportunities for students, residents and fellows. The internationally renowned faculty play a major role in medical and graduate student training, providing educational and programmatic offerings that span several disciplines and provide diversity to meet the interests of a broad spectrum of students and scholars. More than one hundred trainees at the graduate student and postdoctoral level, as well as more than 300 professional, research and administrative staff who along with the department administrators interact closely with the faculty. The diverse mix of ages, backgrounds, and talents creates a robust work environment with challenging career opportunities and a commitment to continued growth potential. We constantly seek to recruit highly motivated, technologically-advanced and interested individuals to become a part of our dynamic cutting-edge research, clinical, and educational environment. Under the direct supervision of the PI, the incumbent will perform programming and/or assist in design and analysis of systems to decipher the role of genetic variation on human traits. Projects will focus on investigation of structurally complex regions of the genome associated with human diseases using a variety of techniques including graph-based genome representations. The incumbent will be responsible for maintaining computational pipelines for processing, analyzing, and visualizing large volumes of whole genome sequence data and analysis of large biobanks. Pipelines will consist of open source as well as custom software. The incumbent will also assist with the development and maintenance of web applications. Assists with packaging custom software as open source tools. Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained. QUALIFICATIONS • Four (4) years of related experience, education/training, or Bachelor's degree in biological science, computational / programming. • Basic knowledge of bioinformatics methods and data structures. • Basic knowledge of applications programming and web development. Familiarity with C/C++, Python, R with the ability to work comfortably in a Linux environment. • Basic knowledge of databases. • Basic project management skills. • Basic knowledge of modern biology and applicable field of research. • Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. Demonstrated interpersonal, written and verbal communication skills and ability to interact effectively and tactfully with individuals and groups, both within and outside the University. • Ability to communicate technical information in a clear and concise manner. • Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills. • Basic knowledge of application and data security concepts. • Demonstrated ability to maintain high level of confidentiality in handling files and data and clear understanding of the Universities data privacy and acceptable use policies and procedures. • Ability to assist with virtual machines and designing and creating web applications in HTML, CSS, and Javascript. • Ability to assist with HPC, including job submission and resource management. • Familiarity with Github or a related platform for code maintenance and collaboration. PREFERRED QUALIFICATIONS • Understanding of whole genome sequencing using various technologies (e.g. short and long reads) and data structures including pangenome graphs. • Demonstrated ability to work in cloud computing environments, such as Amazon Web Resources. SPECIAL CONDITIONS • Employment is subject to a criminal background check. Pay Transparency Act Annual Full Pay Range: $69,500 - $123,500 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $33.29 - $59.15 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. For the University of California’s Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening.
Scientist III, Bioinformatics
Work Schedule Standard (Mon-Fri) Environmental Conditions Laboratory Setting, Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. Discover Impactful Work: We are seeking to hire a highly motivated Bioinformatics Scientist with hands-on experience in multi-omics integration and interpretation. The successful candidate will join a multi-functional team and help maintain, support and update multi-omics pipelines, with a particular focus on integrating proteomics and metabolomics. The aim is to generate new knowledge about upstream bioprocessing to guide the development of new cell culture products that support the commercial production of novel biologic therapeutics. A day in the Life: • Provide bioinformatics support and manage omics data analysis, documentation, and report preparation for scientific services and research projects. • Leverage bioinformatics tools including machine learning models and implement knowledge bases to provide actionable insights for cell culture media development and bioproduction process optimization. • Under minimal supervision, the successful candidate will be expected to perform data analysis in experimental data, interpretate analysis results, and communicate and present findings in team meetings. • Contribute to the development of innovative omics approaches and computational models to solve biological problems related to bioproduction processes. Keys to Success: Education • MS in Computational Biology, Bioinformatics, Analytical Chemistry, or related field (PhD is preferred) Experience • At least three (3) years of related experience • Experience in LC-MS/MS based proteomics and metabolomics data analysis and interpretation • Experience with pathway enrichment, network analysis and multi-omics (proteomics and metabolomics) integration. • Experience in utilizing machine learning and statistical models. • Proficiency in programming languages such as Python or R Knowledge, Skills, Abilities • Knowledge in molecular and cellular biology. • Strong understanding of statistical inference and machine learning techniques. • Present data for review, group discussions, and team meetings • Multi-task effectively and prioritize multiple projects with guidance. • Proven track record that could work efficiently both independently and as part of a team. • Excellent verbal and written communication skills. • Ability to analyze, interpret and summarize scientific results in a clear, concise, and accurate manner. • Ability to work in a cross functional and interdisciplinary team. Preferred Qualifications • Experience working in cell culture media development. • Statistical Design of Experiment (DOE) experience. • Experience in glycomics at the peptide and protein level. Benefits We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation! Compensation and Benefits The salary range estimated for this position based in New York is $92,000.00–$115,000.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: • A choice of national medical and dental plans, and a national vision plan, including health incentive programs • Employee assistance and family support programs, including commuter benefits and tuition reimbursement • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards