Bioinformatics Jobs

Arc Institute in Palo Alto is seeking a Bioinformatics Scientist to join their team within the Computational Technology Center. This role involves developing and applying computational methods to biological datasets, working collaboratively across various initiatives. Ideal candidates are passionate about science and have a Ph.D. in relevant fields, excellent coding skills, and experience in bioinformatics. The position offers a salary range of $135,000 to $186,500 and an opportunity to contribute significantly to groundbreaking research in complex diseases. #J-18808-Ljbffr

UPMC Magee-Womens Hospital Clinical Genomics Lab (UCGL) is hiring a Genome Bioinformatics Analyst! This is a full-time daylight position Monday through Friday, and will work remotely. Learn more about the UPMC Medical Genetics and Genomics Laboratories by visiting our website here. Responsibilities: Designs and executes clinical validation studies to assess diagnostic test performance.Curates disease, gene, and variant knowledge. Helps implement curated knowledge, resources, and workflows into clinical operations.Participates in developmental and clinical research projects, as needed.Maintains SOP documentation of NGS bioinformatics pipeline.In consultation with laboratory staff, physicians and genetic counselors, participates in the review of patient results and develops interpretations for clinical reports.Participates in clinical test development as needed. Evaluates novel platforms and techniques in DNA sequencing, genotyping, and copy-number variation in order to assess suitability for diagnostic application.Maintains data analysis pipelines, monitors quality metrics and analyzes data sets.

Work Schedule Standard (Mon-Fri) Environmental Conditions 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. How will you make an impact? We are seeking to hire a highly motivated Bioinformatics Scientist with hands-on experience in knowledgebase management. The successful candidate will join a multi-functional team and help support the expansion and maintenance of an in-house biological knowledge database, with a focus on metabolic pathways, knowledge extraction, and structured knowledgebase development. The successful candidate will combine a strong cell biology foundation with bioinformatics and database skills and an understanding of upstream bioprocessing applications. Working in a collaborative environment, you'll contribute to innovative projects while supporting our mission of enabling customers to make the world healthier, cleaner, and safer. What will you do? Expand, curate, and maintain an in-house biological knowledge database focused on metabolic pathways, cellular processes, and related biological features.Extract, evaluate, and organize biological knowledge from approved scientific, technical, and internal sources into structured knowledge assets.Analyze biological data and computational outputs to ensure biological relevance, accuracy, and consistency within the knowledge base.Collaborate with scientists, bioinformatics, and digital technology teams to support knowledge extraction, pathway interpretation, and upstream bioprocessing applications. How will you get here? Education Master’s Degree in Bioinformatics, Computational Biology, Systems Biology, Molecular Biology, Cell Biology, Biochemistry, Biotechnology, or a related biological science field. PhD is preferred but not required.Experience At least three (3) years of related experienceStrong background in cell biology, molecular biology, biochemistry, or a related life science discipline, with an understanding of cellular metabolism and biological pathways.Experience working with biological databases, bioinformatics tools, biological data analysis, or scientific data management.Knowledge of upstream bioprocessing, including cell culture, fermentation, process development, media optimization, or biologics manufacturing workflows.Knowledge, Skills, Abilities Hands-on experience with Python or other scripting languages for biological data processing, workflow automation, or data analysis.Experience with knowledge extraction, text mining, NLP, knowledge graphs, ontology-based data models, or biological network analysis.Present data for review, group discussions, and team meetingsMulti-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 work in a cross-functional and interdisciplinary team. Preferred Qualifications Experience with metabolic pathway analysis and pathway resources such as KEGG, Reactome, MetaCyc, WikiPathways, UniProt, or Gene Ontology.Experience evaluating outputs from computational algorithms, machine learning models, knowledge graph systems, RAG, or LLM-based workflows Compensation and Benefits The salary range estimated for this position based in New York is $87,200.00–$116,200.00. 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

“Driven by a rapid rollout of sequencing technologies across the nearly 25 years since the first complete human genome was mapped, the science of bioinformatics has fueled an engine of innovation that helps push big biological ideas and data streams into medical practice.” “Driven by a rapid rollout of sequencing technologies across the nearly 25 years since the first complete human genome was mapped, the science of bioinformatics has fueled an engine of innovation that helps push big biological ideas and data streams into medical practice.” Mark Cameron, Associate Professor, Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve UniversityBioinformatics is a field that combines analytics and data representation to make sense of the vast amounts of data generated every day. The field takes cues from the world’s organisms to build a healthier and cleaner future and has many applications in the modern tech landscape. In the past few decades, the sheer volume of data has increased exponentially, in large part due to the growing repositories of rich biodata from genomics and molecular biology. The Bureau of Labor Statistics reports an uptick in the percentage of bioinformatics and related positions in our economy, such as computer and information research scientists, biomedical scientists, and biomedical engineers. ONET (an affiliate of the Department of Labor) defines bioinformatics as an occupation for professionals who will “conduct research using bioinformatics theory and methods in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics.” Furthermore, bioinformatics professionals “may design databases and develop algorithms for processing and analyzing genomic information, or other biological information.” As the preponderance and availability of data grows, the need to interpret that data will keep pace. Mapping cancer genomes, for example, involves serious data input from thoroughly analyzed genetic fragments. As with every other modern medical field, data analytics plays a major role in bioinformatics, even if you have no plans to study engineering or computer science. A basic understanding of data management and presentation are useful, as well. Featured Bioinformatics & Biotechnology Programs Dr. Mark Cameron is an associate professor in the Department of Population and Quantitative Health Sciences, School of Medicine, at Case Western Reserve University. He is renowned for his expertise in leveraging genomic technologies and bioinformatic methods to identify biomarkers associated with infectious diseases and chronic inflammatory conditions. His pioneering research delves into computational analysis of gene sequences and protein function, aiming to advance the development of targeted immunotherapies and vaccines. He has a prolific publication record and editorial responsibilities in scientific journals. He holds a PhD in microbiology and immunology and a bachelor of science in biology from Western University, London, Ontario. HealthcareDegre.com: What is something you wish the public understood about bioinformatic science? Dr. Cameron: Driven by a rapid rollout of sequencing technologies across the nearly 25 years since the first complete human genome was mapped, the science of bioinformatics has fueled an engine of innovation that helps push big biological ideas and data streams into medical practice. Bioinformatic scientists and bioinformaticians, however, aren’t simply data wranglers with computers. They are the central processing units of modern biomedical research. They are the translators, so to speak, in the bench-to-beside (and back again) workflow that propels modern medical discovery. They also don’t work alone in the dim light of a computer screen. They are masterclass team scientists collaborating with health care providers, clinical trial coordinators, multidisciplinary scientists, trainees, and industrialists alike—often all at the same time—to bring biological and clinical studies to the public. HealthcareDegre.com: What advice would you give to aspiring bioinformatics science students? Dr. Cameron: Students thinking of a career in bioinformatics are in for an exciting ride, especially if they enjoy multidisciplinary science. There are many entry points for students interested in a career in STEM since bioinformatics training often runs the gamut from basic biology, statistics, and experimental design to clinical application, drug discovery, and artificial intelligence. As varied as that training is, there is also a wealth of desirable career options at the end of one’s program, including academia, government, pharma, and industry. Exciting new genomic technologies arrive on the biomedical research scene daily, each with a seemingly exponential potential for generating data. Bioinformaticians are increasingly critical to the analysis, summary, and translation of all that ‘big data’ towards a better understanding of the biology that surrounds us and/or better public health. Without bioinformaticians, all that valuable information tends to sit on hard drives. Many of us basic biomedical researchers have had to train in bioinformatics because it permeates modern experimentation. There’s never a dull moment in a bioinformatician’s or bioinformatics scientist’s training and career; in fact, right now, I’d say the world is their oyster. Bioinformatics Scientist Specialization & Career TypesThere are several bioinformatics scientist specializations and career types available for the scientifically minded. They include informatics research in the following fields: Antibiotic resistanceGene therapyEvolutionary studiesBiotechnologyCrop improvementInsect resistanceAlternative energy sourcesZoologyClimate change studiesForensic analysisMachine learningBio-weapon creationImprovement of nutritional qualityDevelopment of drought-resistant varietiesVeterinary scienceMost careers in bioinformatics can be found in computer information science, pharmaceuticals, biotechnology, medical technology, computational biology, proteomics, and medical informatics. Such professionals often develop algorithms, build databases, and present data, studies, and research to other bioinformatics professionals. Databases are typically used for processing and analyzing genomic information or genetic trends. As an area of study, bioinformatics draws on biology, information technology, computer science, statistics, informatics, mathematical modeling, computational theory, data charting, data analytics, and administration. Coursework and essential knowledge may include the following subjects: probability, statistics, computing, population genetics, molecular genomic analysis, sustainability mathematics, epigenomic data analysis, biostatistics, biological mathematical modeling, and even computational neuroscience. Bioinformatics is almost always chosen as a specialization at the graduate level. Most students come from undergraduate courses of study in biology, computer science, chemistry, biochemistry, or bioengineering. In recent years, more and more undergraduate programs in bioinformatics have begun to emerge. Some of them are profiled below. Bioinformatics is used in conjunction with many other approaches to data analytics to address the highly specialized needs of a wide variety of clients. These jobs include applying analytical theory, computer science, and programming to computer information science, pharmaceuticals, biotechnology, medical technology, computational biology, proteomics, and medical informatics. Admissions Requirements for Bioinformatics ProgramsAdmissions requirements for bioinformatics programs generally include a background in the health sciences, computer science, biology, or behavioral sciences. Bachelor’s programs typically require a minimum GPA of 3.2 and test scores (SAT/ACT) for admission. They include 120 credits of undergraduate work in bioinformatics or psychology and courses in science, humanities, philosophy, analytics, and information technology. Master’s degree programs require candidates to submit a competitive GPA, official transcripts, and, in some cases, test scores (GRE) or letters of recommendation. Graduate-level programs in bioinformatics see students dive deeper into the fields of data science, document management, and visual representation to gain a better understanding of what we can learn from all that data we generate. Bioinformatics Program AccreditationStudents enrolling in academic programs should look into a school’s accreditation status. Accreditation ensures that bioinformatics programs meet a set of peer-reviewed standards in their curriculum. A full list of authoritative regional accreditation entities is available on the Council for Higher Education Accreditation (CHEA) website, which is affiliated with the U.S. Department of Education. On-Campus Bioinformatics Degree ProgramsCase Western Reserve University offers a master of science degree in systems biology and bioinformatics. This program has two tracks: translational bioinformatics and molecular and computational biology. Core courses include current proteomics and bioinformatics for systems biology, and elective courses cover the physiology of organ systems, protein biophysics, the principles of genetic epidemiology, and contemporary approaches to drug discovery, among others. Location: Cleveland, OhioDuration: Two yearsAccreditation: Higher Learning CommissionThe school offers an innovative bachelor of science program in bioinformatics and data science. Its faculty combines technical, hands-on, and theoretical approaches to create an interdisciplinary degree that primes students for entrance into the field of biodata science. Expect further coursework in the subjects of biology, natural sciences, healthcare administration, and the health sciences. Duration: Three to four yearsAccreditation: Middle States Commission on Higher Education (MSCHE)The Rochester Institute of Technology offers an on-campus master of science (MS) in bioinformatics degree that focuses on bioinformatics theory, data programming, proteomics, data management, data science, systems biology, and genetics. Expect additional coursework in the areas of biology, natural sciences, healthcare administration, and the health sciences. Duration: Two to three yearsAccreditation: Middle States Commission on Higher Education (MSCHE)The bioinformatics graduate program at UCLA is an interdepartmental degree. Currently, they offer a PhD in bioinformatics but starting with the 2022 application cycle they will also be offering a master’s of science in bioinformatics. This is a research-centric program and students will be engaged in lab work from the very first year. Upon completion of core studies, students will be expected to develop a thesis and then complete original research on their subject. Cross-disciplinary collaboration is a strong hallmark of this degree. UCLA has housed the schools of Medicine, Engineering, Life Sciences, Mathematical and Physical Sciences, and Public Health in the same area to facilitate this. As with most PhD programs, admissions are highly competitive. Candidates should submit a strong statement of interest highlighting their research areas of interest along with letters of recommendation and any already completed research. Duration: Five yearsAccreditation: WASC Senior College and University Commission (WSCUC)At Harvard Medical School Blavatnik Institute of Biomedical Informatics, students can complete a master’s of science in biomedical informatics. This degree focuses on using biomedical data for decision-making, scientific inquiry, and problem-solving. It is a residential program, and students must complete their studies on campus. The accelerated option for this program can take as little as two semesters if the student already has a PhD or is enrolled in an MD program. Otherwise, the degree takes three full-time semesters to complete. To be eligible for admission to this degree, candidates must already have a master’s or PhD degree. The accelerated degree is 36 credits, while the standard format is 48 credits. Duration: As little as two semestersAccreditation: New England Commission of Higher EducationThe computational biology and bioinformatics PhD at Duke University Center for Genomic and Computational Biology has over 55 faculty members from 18 departments across campus. Students receive intensive training in quantitative and biomedical sciences and are required to participate in research projects, weekly seminars, journal clubs, and one-on-one mentoring with faculty. To help students with their research, there is a strong commitment in this program to sharing data and reproducible analyses. Students will also have the opportunity for professional development and teaching opportunities to prepare them for a career in this field. Duration: At least four yearsAccreditation: Southern Association of Colleges and Schools Commission on Colleges (SACSCOC)Online or Hybrid Bioinformatics Degree ProgramsColumbia University offers an online master of science (MS) in computational biology degree that focuses on subjects such as data science, bioinformatics programming, bioinformatics computational methods, mathematical biology, and bioengineering. A graduate degree in computational biology is a sensible next step after undergraduate study in bioinformatics or biosciences. A master’s degree in computational biology grants recipients many of the same skills conferred by a bioinformatics program. Location: New York, New YorkDuration: eighteen months to three yearsAccreditation: Middle States Commission on Higher Education (MSCHE)Northeastern University offers an online master of science in bioinformatics that focuses on subjects such as bioinformatics programming, bioinformatics computational methods, and ethics in biomedical research. The program also offers a graduate certificate in data science. This program from Northeastern can provide prospective bioinformatics or computational biology professionals the skills, knowledge, and practical understanding that are essential to success in the field. Northeastern University’s College of Science is a leading online institution in the field of biodata studies and boasts a faculty of expert bioinformatics professionals. Duration: Two to three yearsAccreditation: Higher Learning Commission (HLC)The master’s of science in bioinformatics at Johns Hopkins University Krieger School of Arts and Sciences is a flexible degree with on-campus and online options. This program combines data and computer sciences with several different areas of biological sciences. In addition to studying biochemistry and molecular biology, students will also learn about current issues and gain hands-on through lab courses. This degree can be completed in a full-time or part-time format. Regardless of the format chosen, students must complete a total of 11 courses for this degree. Overall, this is a highly customizable program with only two required courses. The remainder of the classes are at the students’ discretion, allowing them to pursue their interests. Students even have the option of completing a thesis if they want, but it is not required. Location: Washington, DCDuration: Three to four yearsAccreditation: Middle States Commission on Higher Education (MSCHE)Students in the online master’s of science in biomedical informatics at the University of Texas Health Science Center at Houston have the option of completing an applied track or a research track. The research track focuses on how biomedical data is collected and analyzed into health information that can be used for decision-making. The applied track, on the other hand, uses the data gathered to design and implement health information solutions to improve patient health. The applied track is much more structured than the research track, with all but one course being required. The research track has 21 credits of electives that students must complete. Students in both tracks must complete a practicum in order to gain hands-on skills. This is a highly successful program, with at least 89 percent of master’s students having secured employment by the time they graduate. Location: Houston, TXDuration: Two yearsAccreditation: Southern Association of Colleges and Schools Commission on CollegesThe Stanford School of Medicine offers an online master’s of science in biomedical data science. The objective of this degree is to train students in quantitative and computational methods to solve biological and medical problems. This is a part-time program designed for working professionals who are employed in bioinformatics or a related field. While all of the coursework for this program is available through distance learning, students can complete courses on campus if it suits their learning needs. Students have up to five years to complete this 45-credit degree. To be eligible for admission to this program, students must complete prerequisite coursework in algebra, calculus, computer science, and biology. Duration: Three to five yearsAccreditation: WASC Senior College and University Commission (WSCUC)How Long Does it Take to Become a Bioinformatics Scientist?The length of the road to becoming a bioinformatics professional will vary. Expect a minimum of six years of post-secondary schooling, with up to as much as ten years if you choose to pursue a PhD. Of course, this varies depending on how much on-the-job experience and training a student possesses. How To Become a Bioinformatics Scientist – Step-by-Step GuideBecoming a bioinformatics scientist, as mentioned above, should take students a minimum of six years, and up to as many as ten years if prospective bioinformatics analysis professionals take longer to pursue more advanced degrees. Step 1: Graduate High School (Four Years)As a high school student, a focus on classes in the subjects of biology, data science, statistics, economics, and information technology will help to build a solid foundation for bioinformatics undergraduate study. Step 2: Earn A Bachelor’s Degree (Four Years)Earning a bachelor’s degree in a science field with a focus in information sciences, computer studies, or information technology will set you on track for the proper course of graduate study. Step 3: Gain Industry Experience (One Year or More)One way to advance a career as a bioinformatics scientist is to gain work experience in the industry itself. This should help you to prepare for certification and more advanced positions, which are typically requisite in candidates being considered for positions in upper management or as clinical directors. Step 4: Earn a Master’s Degree (Two Years)Pursuing a master’s degree in computer science, informatics, or information technology with a focus on bioinformatics or mathematical biology can open the door to the world of the top-achieving percentile of bioinformatics scientists. Step 5: Earn a PhD (Optional, Three Years or More)To increase earning potential, a doctorate in bioinformatics may be pursued. This credential will allow degree holders to teach, write textbooks, or lead clinics, offices, and university departments in the bioinformatics field. Degrees in computational biology are also generally applicable to similar positions that require a doctoral level of bioinformatics knowledge. What Do Bioinformatics Scientists Do?Bioinformatics is used to conduct research via bioinformatics theory. Utilizing methods in areas such as pharmaceuticals, biotechnology, computational biology, medical technology, proteomics, computer information science, biology, and medical informatics, bioinformatics scientists are vanguards of data. Most have a background in computer science as well as a history of developing algorithms and designing databases for the processing and analysis of genomic or biological information. They work as bioinformaticians, bioinformatics scientists, directors of bioinformatics and trait discovery, directors of translation and experimental medicine bioinformatics, directors of informatics, research scientists, scientific database curators, scientific informatics project leaders, senior research associates, and senior data scientists. Bioinformatics Scientist Certifications & LicensureCertification and licensure are not currently required in bioinformatics. Qualifications sought in candidates for professional opportunities in the field include the requisite educational preparation and industry experience. That said, there are various certifications in computer languages and software that can be useful. These include proficiency in Apache Hadoop, Python, Ruby, Perl, R, MATLAB, Linux, Unix Shell, and more. How Much Do Bioinformatics Scientists Make?The Bureau of Labor Statistics (BLS 2023) reports that the bioinformatics-related field of computer and information research scientists will swell 23 percent nationally between 2022 and 2032, adding up to as many as 8,300 new jobs to the market. The BLS notes that the required entry-level education for a computer and information research scientist is a master’s degree. On average, they earn $157,160 per year. Here is the detailed salary data in this field: Number of professionals employed in the US (BLS May 2023): 35,210 10th percentile: $81,45025th percentile: $109,99050th percentile (median): $145,08075th percentile: $185,16090th percentile: $233,110Bioinformatics Scientists Career AlternativesHere are a few alternatives to a career as a bioinformatics scientist. Become a MicrobiologistMicrobiologists study microorganisms and minute non-living things. Most microbiologists are employed in research labs where they work with algae, fungi, bacteria, viruses, and other microorganisms. The majority of microbiologists have completed a master’s degree in microbiology or a related field. Licensing or Certifying Organization: The American College of Microbiology and the National Registry of Certified Microbiologists (NRCM)Become a Biomedical EngineerBiomedical engineering combines biology, medicine, and engineering to improve patient outcomes. Their primary responsibility is to engineer biomedical equipment although they can also be tasked with installing or maintaining equipment. Biomedical engineers work in hospitals, universities, manufacturing facilities, and research facilities. Licensing or Certifying Organization: U.S. Board of Examiners for Certification in Clinical Engineering and Healthcare Technology Certification Commission, International Certification Commission for Clinical Engineering and Biomedical TechnologyEpidemiologists study health issues within a given population. These issues can include diseases, nutrition, environmental factors, and even birth defects. They use data gathered from scientific studies to draw conclusions and improve the health of a community. Licensing or Certifying Organization: Certification Board of Infection Control and Epidemiology (CBIC)Kenneth Parker WriterKenneth is a feature writer, poet, and musician living in the Pacific Northwest. His writing on remote work, education, and technology has been published by BustedCubicle.com, MedicalTechnologySchools.com, and other websites. His poetry, short fiction, and album reviews have appeared in Scifaikuest, Nanoism, and No Clean Singing. His background includes time spent as an associate editor, proofreader, private grammar instructor, freelance content editor, medical claims agent, and SEO consultant. He is a graduate of the University of Oregon, where he studied literature and worked as a composition tutor. Kimmy Gustafson Kimmy Gustafson WriterAt HealthcareDegree.com, Kimmy Gustafson has delivered in-depth and insightful articles since 2019, aiding prospective students to navigate the complexities of choosing the right healthcare degree. Her recent work includes topics such as the ethics of gene editing and physician assistant’s fight for autonomy. Kimmy has been a freelance writer for more than a decade, writing hundreds of articles on a wide variety of topics such as startups, nonprofits, healthcare, kiteboarding, the outdoors, and higher education. She is passionate about seeing the world and has traveled to over 27 countries. She holds a bachelor’s degree in journalism from the University of Oregon. When not working, she can be found outdoors, parenting, kiteboarding, or cooking. Biomedical equipment technicians (BMETs or biomeds) form part of the healthcare technology management team in a medical facility. These vital front line workers repair and perform routine maintenance on the machines used in patient care. For years, cardiovascular disease has been the number one cause of death in the US as well as the leading driver of healthcare costs. Such a monumental challenge requires cardiovascular professionals coordinating to look after the heart of America. Pharmacists make people feel good again. As medication specialists, they dispense prescription medications to patients and also act as consulting experts on the safe use of those substances. This is no small task. Top-paying biomedical and laboratory careers require dedication to the craft and post-baccalaureate education. The medical sciences have historically prioritized men’s health in both research and funding, often overlooking the specific health needs of women. This gender bias in medical research has significant implications: it not only neglects half of the population but also limits the overall progress in medical science. Women’s health issues, differing substantially from men’s, require dedicated study to develop effective treatments and understanding. The increasing demand for healthcare services due to an aging population and a rise in chronic diseases is straining existing infrastructure. This challenge and the need for greater affordability and access, particularly in underserved communities, underscores the urgency for innovation. Technology, specifically artificial intelligence (AI), telemedicine, and wearable devices, offers pathways to alleviate these pressures, but integration into current systems presents its own challenges. Nanomedicine is a groundbreaking field at the intersection of molecular science and healthcare, revolutionizing how diseases are diagnosed and treated at the nanoscale.

We're hiring Bioinformatics Scientists with strong backgrounds in computational biology and data science. A deep understanding of both biology and machine learning is required. The position's goals are varied, but include using personalized biomarker discovery and integrative-omics to diagnose "hard-to-diagnose" diseases. In this position at ICR, you'll get to: Conduct complex bioinformatics analyses on large genomics, transcriptomic, proteomic, metabolomic, and lipidomic datasets from biofluids and cell linesEngage in multi-omic integration under a personalized medicine paradigmDiscover personalized biomarkers to aid in unraveling complex and obscure phenotypes Please apply if you have: An MS or PhD in a Biomedical Science and extensive experience with computational biology, bioinformatics and data scienceExperience incorporating AI tools into bioinformatics workflowsExpertise in multi-omics integration, systems biology, network medicine, precision and personalized medicineExpertise in perturbation analysis and pathway enrichment analysis (eg. KEGG, Reactome, MSigDB)Machine learning skills (eg. LR, SVM, RF, XGBoost) and extensive experience with: Bayesian/probabilistic modeling, network-based sample similarity algorithms and factorization methods, data cleaning, such as batch effect removal and imputation, and data transformation and visualizationA solid statistical foundationExpertise programming machine learning and statistical pipelines, preferably in PythonGitHub repository showing your work, preferably linked to publicationsEven if you don't meet all of these criteria, please apply anyway Ideally, you'll also have experience with: iOS app developmentR programmingLinux environmentsOutlier detection And you'll need: Ability to work in the United States without sponsorshipA can-do attitude and a friendly, easygoing personality If you don't combine your cover letter with your CV or resume when you apply through LinkedIn, after you apply please send your cover letter only to: apply@invitroresearch.com with "Cover [Your name]" as the Subject line. Position title and compensation are commensurate with experience. The compensation ranges listed below are starting ranges. Starting base salary range: $155,000/yr - $230,000/yr Starting bonus range: $10,000/yr - $40,000/yr

Job Description Pay Range: $155,000.00 - $175,000.00 / year Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation. Benefits Information: We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects – physical, financial, and developmental. Depending on whether it is a part-time or full-time position, some of the benefits offered may include: · Day 1 Medical, supplemental health, dental & vision for FT employees who work 30+ hours · Best-in-class well-being programs · Annual, no-cost health assessment program Blueprint for Wellness® · healthyMINDS mental health program · Vacation and Health/Flex Time · 6 Holidays plus 1 'MyDay' off · FinFit financial coaching and services · 401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service · Employee stock purchase plan · Life and disability insurance, plus buy-up option · Flexible Spending Accounts · Annual incentive plans · Matching gifts program · Education assistance through MyQuest for Education · Career advancement opportunities · and so much more! At Quest, we are on a continuous journey of discovery and development. It’s this attitude that has made us an industry leader and the #1 Diagnostic Lab in the US. For those joining us, we offer exciting and fast-moving career opportunities where you can affect change at a rate unheard of in many organizations of our size and scope. While we invest in and develop technology to drive our innovations, our ongoing success relies on our people. Quest Diagnostics Specialty Genetics products provide specific answers that clinicians need to deliver the appropriate diagnostic and prognostic care to their patients. You will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. This position is in our Bioinformatics Solutions Engineering group, part of the Research and Development organization, in Molecular Genomics & Oncology unit. The team supports genetic/genomic testing in a highly regulated CAP/CLIA laboratory environment primarily using short and long-read sequencing as the basis of evidence. The right candidate will know how to balance innovation, standards, and quality with a practical understanding of when each is appropriate. The Bioinformatics Solutions Engineering group is a cross-functional unit focusing on end-to-end design, develop, document, validation and launching of new high quality diagnostic tests and services for the benefit our patients. This professional will work in a remote capacity. Preference is given to candidates near the following facilities: Marlborough, MA Addison, TX Secaucus, NJ Responsibilities: Lead technical design, implementation and delivery of projects aiming to launch new diagnostic tests and services. Act as technical owner for your project, being responsible for the end-to-end solution from technical side. Work with cross-functional partners from business, operations, IT, R&D lab, geneticists, medical directors, and other bioinformatics stakeholders to create solutions that meet business and operational requirements. Lead solution architecture and interface design including system architecture for bioinformatics and detailed data flow mapping. Collaborate with stakeholders to ensure compliance of the solution with internal and external IT security and clinical policies and processes. Work with bioinformatics domain leaders to select appropriate technology platforms for each step in the diagnostic process. Oversee end-to-end testing and diagnostic test validation activities with the project team. Lead the technical documentation and plan and execute handover to operations to ensure effective launch and operation of the solution. Work with project management and report on progress, analyze risks and escalate issues to ensure accurate project management. Qualifications: BS with 7+ years of experience, MS with 4+ years of experience, or PhD with 3+ years of experience in an industrial or academic setting working with clinical and biological data or equivalent and underlying technologies including bioinformatic methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools. At least 5 years of experience working in a regulated industrial life sciences environment. At least 4 years of professional software development or technical engineering experience Preferred Work experience and Skills: Thorough understanding of end-to-end diagnostic process including ordering, wet lab, dry lab, result interpretation and result and data delivery. Experience with solution design, system architecture, solution architecture, data flow modeling. Experience in leading technical design and implementation of complex projects. Experience with sequencing data analysis, bioinformatics, variant data analysis. Knowledge of bioinformatics tools and workflow managers for sequencing data analysis and quality control. Experience working with SQL and NoSQL databases. Experience with designing and working with application programming interfaces (e.g. JSON based RESTful APIs). Experience with designing and implementing solutions in the cloud. AWS experience is preferred. Experience of working in clinical diagnostics setting (regulations, controlled processes, diagnostic test validation, environment management). Solid understanding of human genetics and oncology in diagnostic setting. Solid understanding of web lab process for DNA sequencing and working with or developing LIMS systems. Infrastructure management: Terraform, AWS CDK. Architecture design: Microsoft Visio, DrawIO, similar for crafting architecture diagrams. Programming Languages: Python, javascript/typescript, R, etc. Containerizing: Docker Web Frameworks: Python Flask, React Native, Bootstrap Reporting: R Markdown, Jupyter Notebook Visualization: Experience with any of ggplot2/tidyverse, Plotly, matplot lib, Tableau, d3.js Source Control: Git CI/CD: Gitlab CI/CD, Github CI/CD Education Bachelor’s Degree Required Master’s Degree or PhD Preferred 63624 Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

Postdoctoral Fellow in Single-Cell and Spatial Bioinformatics and Quantitative Image Analysis Location: University of Pennsylvania, Penn Dental Medicine Open Date: Aug 06, 2026 Deadline: A postdoctoral position is available in the laboratory of Dr. Dana T. Graves at the University of Pennsylvania. The fellow will study inflammatory processes and how they impact the skin, mucosa, skeleton and periodontium in the context of diabetes, aging or other pathologic conditions. The position has two primary, complementary components: (1) leading bioinformatic studies using single-cell RNA sequencing (scRNA-seq) and 10x Genomics Xenium spatial transcriptomic datasets; and (2) serving as project leader for a quantitative image-analysis study examining the spatial distribution and tissue organization of adhesion molecules in in vivo specimens. The fellow will work closely with investigators who conduct complementary experimental studies and will have substantial intellectual ownership of both areas of research. The goal is to identify mechanisms of disease and potential therapeutic targets. Research Focus Our research examines how diabetes changes cell signaling, differentiation, immune-stromal interactions, and tissue repair. Projects span several tissues, disease models, species, and experimental platforms. Component 1 - Single-cell and spatial genomics bioinformatics: The fellow will lead bioinformatic studies using scRNA-seq and 10x Genomics Xenium spatial transcriptomic datasets to identify disease-associated cell states, transcriptional programs, and spatially organized cellular responses. Component 2 - Quantitative image analysis: The fellow will serve as project leader for a study examining the spatial distribution, cellular localization, and tissue organization of adhesion molecules in in vivo specimens. This component will involve development and application of quantitative image-analysis approaches and interpretation of spatial relationships within tissues. Across the bioinformatics component, the fellow will address spatial signaling networks, cell-cell communication, and changes in cell state over time. Projects may include regulatory network inference, pseudotime analysis, and machine-learning approaches when these methods are scientifically appropriate. Where scientifically informative, results from the bioinformatics and image-analysis components may be integrated to relate molecular and cellular states to adhesion-molecule distribution. Key Responsibilities • Lead bioinformatic studies using scRNA-seq and 10x Genomics Xenium spatial transcriptomic datasets. • Serve as project leader for quantitative image analysis of in vivo specimens to characterize the spatial distribution, cellular localization, and tissue organization of adhesion molecules. • Develop clear, reproducible computational workflows. • Perform quality control, data integration, cell annotation, and differential expression analysis. • Conduct pathway, trajectory, state-transition, and ligand-receptor analyses. • Integrate multiomic, cross-species, and cross-cohort datasets. • Integrate transcriptomic data with imaging, histologic, and phenotypic measurements. • Create clear figures and communicate results to computational and experimental collaborators. • Help define analytical strategy and interpret biological findings. • Present results and prepare first-author manuscripts. • Contribute to grant development and collaborative studies. Computational Environment For the single-cell and spatial genomics bioinformatics component, a major focus will be analysis of 10x Genomics Xenium spatial transcriptomic and scRNA-seq datasets. The primary environment uses R, Seurat, and related tools. The fellow may use other validated methods when they improve the analysis. The image-analysis component will use appropriate quantitative imaging and spatial-analysis tools selected according to the specimens, imaging modalities, and scientific questions. Research Environment and Career Development The Graves laboratory combines computational discovery with in vivo models, human specimens, histology, flow cytometry, immunofluorescence, and in vitro validation. Relevant experimental systems include genetically engineered mouse models, diabetic and aging models, primary mouse and human cell cultures, and molecular perturbation studies. The fellow will have substantial intellectual ownership of both major components of the position, including leadership of scRNA-seq and Xenium bioinformatic studies and project leadership for the image-analysis study. This includes selecting analytical approaches, leading data analysis, presenting findings, and writing first-author papers. Dr. Graves will provide direct scientific mentoring and regular project guidance. The fellow will also work with collaborators and shared-resource specialists across the University of Pennsylvania. Penn core facilities provide support in single-cell and spatial genomics, biostatistics, imaging, histology, and quantitative analysis. The position offers training at the interface of computational biology, genomics, diabetes, inflammation, tissue repair, mouse genetics, and translational research. The goal is to support scientific independence, strong publications, grant development, and preparation for an academic or industry career. Qualifications Required Qualifications • A PhD, MD, DMD, DVM, or equivalent doctoral degree in a relevant field. • Hands-on experience with bioinformatic analysis of scRNA-seq or spatial transcriptomic data, with experience applicable to leadership of the single-cell/Xenium bioinformatics component. • Strong skills in R and modern single-cell analysis workflows. • Ability to interpret results in a biological and disease context. • Ability to work independently and collaborate across disciplines. • Clear scientific writing and communication skills. Relevant fields include bioinformatics, computational biology, genomics, biostatistics, systems biology, molecular or cell biology, immunology, bioengineering, diabetes biology, skeletal biology, computer science, statistics, data science, or a related discipline. Preferred Qualifications Include Experience in the Following Areas: • Spatial transcriptomics. • Seurat and related R packages. • Multiomic, multi-species, or cross-cohort integration. • Trajectory or pseudotime analysis, cell-cell communication analysis, or regulatory network inference. • Quantitative or spatial image analysis of immunofluorescence, histologic, or related in vivo imaging datasets, particularly experience suitable for independently leading an image-analysis project. • In vitro or in vivo validation experiments. • Integrating molecular data with imaging data. Selected Publications • Diabetes exacerbates destructive inflammation by activating the CD137L-CD137 axis. Journal of Clinical Investigation. PMID: 41379565. • Single Cell Sequencing Identifies Distinct Cellular Alterations in Impaired Aged and Diabetic Wounds. Aging Cell. PMID: 41189300. • Ko KI et al. NF-kappaB perturbation reveals unique immunomodulatory functions in Prx1-positive fibroblasts that promote development of atopic dermatitis. Science Translational Medicine. 2022. PMID: 35108061. Application Instructions Funding: The principal investigator has grant support through 2031. Start date: Available immediately following interviews and reference review. Application materials: Submit a curriculum vitae, a brief statement describing research experience and future interests, and the names and contact information of three references. Contact: Jen East, jeneast@upenn.edu To apply, visit https://apply.interfolio.com/190925 Equal Employment Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law. je-fb771f4c3573451bb9fd2d0826029424

SHIFT: Day (United States of America) Seeking Breakthrough Makers Children’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career. A Brief Overview The Genomic Diagnostic Laboratory (GDL) of the Children’s Hospital of Philadelphia is seeking a highly motivated Bioinformatics Scientist II with an interest in laboratory diagnostics to join our team. This is an exciting opportunity to work collaboratively within the bioinformatics team and together with our laboratory directors, supervisors, analysts, genetic counselors, and wet bench team to develop and improve pipelines and other tools to support accurate, timely diagnostic testing that has a direct impact on establishing the diagnosis, prognosis, treatment, and management plan for our patients. The team also supports cutting edge R&D efforts including new clinical test development and clinical research. The ability to communicate in a highly matrixed environment will be key to the candidate’s success. Seasoned professionals as well as new graduates are welcome to apply and will be considered for the career ladder position commensurate with their experience. This position is hybrid with weekly onsite work at our Philadelphia campus as appropriate. The Bioinformatics Scientist II is primarily focused on developing and validating frameworks and algorithms supporting clinical diagnostic tests as a bioinformatics domain expert. The scope of the work will include the development and improvement of bioinformatics workflows and processes, bioinformatics pipeline QC and troubleshooting, as well as presentation of results for multi-omics-based tests. The position allows for a wide variety of activities described within the job responsibilities. Activities occur with a moderate degree of supervision with moderate latitude for independent judgment. The ideal candidate will have experience in the following: NGS analysis pipelines and applications, including SNV, copy number variation, structure variation, and RNAseq, including filtering, annotation, and prioritizationMachine learning and data modeling of genomic dataDeep knowledge in Illumina short read technology:a) Instrumentation and the molecular biology/biochemistryb) Dragen workflowFamiliarity with resources of genomic data sets, data bases, and tools, such as UCSC Genome Browser, gnomAD, HGMD, ClinVar, OMIM, ACMG, and various NCBI databasesStrong skills in Python and related ML and mathematical librariesUNIX/GNU/LinuxGitHub What you will do Coding and Software Development (40%):CI/CD development of bioinformatics pipelines, applying best practicesReview existing applications and code sources (both commercial and free/open source) and select the best strategy for development or adoption.Routine peer-to-peer code reviewsAnalysis (30%):Analyze high complexity genomics dataContribute to the development of additional pipeline functionality and changes by providing knowledge of both collaboration-specific requirements and bioinformatics discipline advances.Advocate for specific collaboration requirements for continual advancement of shared pipeline and code resourcesProvide collaboration-specific transparency for data processing and pre-analysis, including sample- and cohort-level status.Collaboration (20%)Contribute to the development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applicationsProvide efficient data management supportEstablish role within collaborative project team as primary bioinformatics resourceContribute to and influence project-level management by serving as bioinformatics point.Define and promote boundaries of support by assessing all stakeholders, including bioinformatics management, collaborator expectations, and funding levels and mechanisms.Regularly discuss satisfaction and expectations with collaborators; continually advocate for clear understanding of role.Academic Output (10%)Regularly contribute to bioinformatics-focused manuscripts and publications.Regularly contribute to podium presentations and posters.Contribute to bioinformatics sections of grant and award proposals. Education Qualifications Bachelor's Degree - RequiredBachelor's Degree in Bioinformatics, Data Science, Engineering or related fields - PreferredMaster's Degree in Bioinformatics, Data Science, Engineering or related field - Preferred Experience Qualifications At least three (3) years experience in applied bioinformatics, genomics, and computational work - RequiredExperience with management and analysis of complex data types - RequiredScripting and application development in R - PreferredKnowledge in long read technology, such as PacBio or ONT - PreferredHPC job scheduler, e.g., Slurm or Airflow - PreferredPipeline implementation in cloud environment such as AWS, Azure, or Google VPC - PreferredBioinformatics pipeline or workflow development frameworks, e.g. WDL, CWL, SnakeMake, or NextFlow - PreferredKnowledge of the working mechanism of microarray, protein mass spectrometry, or other high-throughput technologies and awareness of their strengths and weaknesses - PreferredExperience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture - Preferred Skills and Abilities Ability to interact with biologists and clinicians during a scientific discussionAccountability and attention to timelinesExcellent organization and communication skills with an emphasis on strong presentation skillsAbility to provide objective validation of resultsAbility to work in a team environment To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, professionals working onsite—at any CHOP location, for any portion of time—must be vaccinated for COVID-19. Learn more. EEO / VEVRAA Federal Contractor | Tobacco Statement SALARY RANGE: $101,300.00 - $129,100.00 Annually Salary ranges are shown for full-time jobs. If you're working part-time, your pay will be adjusted accordingly. ------------------- At CHOP, we are committed to fair and transparent pay practices. Factors such as skills and experience could result in an offer above the salary range noted in this job posting. Click here for more information regarding CHOP's Compensation and Benefits.

Job Description We are seeking a Full Stack Software Developer to join our Bioinformatics team, focused on advancing patient care through innovative software solutions. The successful candidate will design, implement, and maintain applications handling genetic data. Collaborating closely with the Data Science and Bioinformatics teams, the developer will work in an agile environment, contributing to the modernization of our systems while enhancing their own technical skills. This professional will work in a 100% remote capacity and must be located in the US. Responsibilities: Feature Development: • Design, implement, and maintain software application. • Ensure user requirements and performance standards are met. Cloud Deployment: • Deploy and manage applications for scalability and reliability. Agile Collaboration: • Participate in agile workflows, including sprint planning, daily stand-ups, and retrospectives. • Collaborate with cross-functional teams to ensure seamless integration and delivery. Quality Assurance: • Write unit, integration, and end-to-end tests to ensure code quality. • Conduct peer code reviews to uphold development standards. Qualifications: Required Work Experience: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.1+ Years of Relevant ExperienceProficiency in modern software development practices and tools (e.g., CI/CD pipelines, version control, testing frameworks).Experience with PHP, Laravel, MySQLFamiliarity with agile methodologies.Test-driven development mindset and experience writing tests.Excellent communication skills to engage with both technical and non-technical stakeholders Preferred Work Experience: Knowledge of the health industry or interest in genetics and bioinformatics. Experience implementing solutions in the cloud. AWS is preferred.Experience with designing and working with application programming interfaces (e.g. JSON based RESTful APIs) Physical and Mental Requirements: This role is required to collaborate with teams in US and EU, and at least 2 hour overlap during their business hours is expected Knowledge: • Proficiency in full stack development, including front-end, back-end, and databases. • Strong problem-solving abilities and a commitment to continuous learning. Skills: • Excellent collaboration and communication skills. • Adaptability to new tools and technologies 66778 Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

PURPOSE OF JOB: The Bioinformatics Department at CSSIMMW is responsible for providing bioinformatic and analytical support to the daily operations of the institute and conducting translational research in both technological and scientific fields. And the Biomedical Informatics Infrastructure Department is responsible for providing informatics support for the daily operations of the institute, including support for biomedical informatics research in both technological and scientific fields. This is a cross-functional position between the two departments that is responsible for development, deployment and integration of experimental data and results into software used for visualization and analysis of large-scale cancer data sets. A strong understanding of bioinformatics and software application development is critical to develop and maintain applications and data operations. This position requires extensive communications with supervisors, peers, and end users. ESSENTIAL FUNCTIONS OF JOB: (other duties may be assigned) Evaluate and implement new bioinformatic systems. KEY MEASURES: Evaluate and test both internal and external systems, with emphasis for data visualization and interpretation (ex. cBioPortal). Make recommendations to leadership on the selection of new systems. Collaborate with IT admins and development teams on software installation, upgrade, and deployment. Contribute to QA/QC of the new system and on each upgrade. Lead data operation to visualize large complex cancer related data sets KEY MEASURES: Integrate project results data into open-sourced web-based software framework for visualization and interpretation of large data sets (ex. cBioPortal) Evaluate new data types and formats, for integration to our system, and create necessary parsers. Configure the system interface for new data types and analyses Responsible for all QA/QC of the data and display before releasing to the users Provide user support KEY MEASURES: Provide application support to users Provide data query and analysis support to internal and external researchers Gather user feedback for improvement Support the integration with other databases and software systems. Contribute to the improvement of bioinformatics and software systems within the institute KEY MEASURES: Keep up to date with advancements in bioinformatics and software engineering for the continuous improvement of our systems. Participate in requirement gathering, design, and development of new applications and modifications to existing applications Contribute to QA/QC of the applications in close collaboration with the development team. Write reports and abstracts KEY MEASURES: Provide summary reports to leadership Present research and development results in peer-reviewed journals and conferences Support grant applications OTHER DUTIES OF THIS POSITION: Handle all confidential and proprietary information in accordance with policies and procedures. Assist other staff as needed and assigned. Maintain a clean and safe working environment Adhere to safety standards and regulations of the Institute. Perform preventative maintenance, troubleshooting, and operation of scientific equipment interfacing with technical support and sales staff as needed. Provide training to employees and interns as needed Participate in CSSIMMW’s community involvement activities. Attend meetings, training sessions, and presentations as necessary. Perform other related duties as required. SUPERVISION RECEIVED: This position is under the supervision of the Director of Bioinformatics. SUPERVISION GIVEN: None. MENTAL/PHYSICAL REQUIREMENTS OF JOB: This position typically requires: CONSTANTLY (75 – 100%) Ability to sit, reach, communicate orally and hear conversation; Repetitive finger movement; Use of depth perception and color vision; Ability to use both hands and both legs FREQUENTLY (25 – 75%) Ability to stand, walk; Ability to lift and carry: Light (Max 10 – 15 lbs.); OCCASIONALLY (0 – 25%) Ability to lift: Mod (Max 25 lbs.); Ability to push/pull (est. weight: 10 – 15 lbs.); Ability to manage multiple projects/tasks, pay close attention to details, work in a constantly changing environment. work with high pressure for results, meet frequent deadlines, have a high level of decision making, ability to establish own goals, have a predictable work schedule, work closely with others, be creative, maintain adequate record keeping and routine paperwork. WORK ENVIRONMENT: This position occasionally requires: General laboratory environment. PERSONAL PROTECTIVE EQUIPMENT: This position requires standard lab PPE including lab coat and gloves when in the lab setting. QUALIFICATIONS: Education/Training/License/Certification: Master's degree in Bioinformatics, Computational Biology, Computer Science, Life Sciences/Molecular Biology or a related field. Work Experience: Four years minimum experience of working of different genomic and experience data. Advanced experience working with open-source web-based applications used to visualize large data such as cBioPortal Four years minimum experience developing software tools using programming languages, such as C#, Python, R, JavaScript, and SQL Experience with cloud technologies such as AWS Experience interfacing with both scientific and engineering teams Proficiency working in Windows and Linux environments Pragmatic self-starter who is proactive, self-motivated, team-oriented, and customer-focused with a strong work ethic Ability to meet deadlines within a dynamic environment and able to handle multiple tasks simultaneously while adapting to changing priorities Proactively learns products and new projects and stays abreast of Bioinformatics, computational or industry trends Excellent verbal and written communication and strong problem-solving skills Demonstrated skills in project management and formal continuous process improvement techniques Ability to work effectively in collaboration with diverse groups of people Ability to use Windows OS and Microsoft Office applications KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: Capability to work independently and as a team player Strong understanding of software design and architecture. Strong understanding of Bioinformatics Advanced skills integrating data into open-source web-based applications for visualizing large data sets (cBioPortal experience would be a plus) Experience implementing modern web-based user interface designs Excellent oral and written communication skills, including an ability to deal with people at various levels. Ability to work well under pressure, facilitate solutions, and meet deadlines and milestones for projects assigned. Ability to present experimental results in an appropriate format. OTHER: Work is performed entirely in support of grant funded programs and is therefore dependent solely on the availability of funds. New Incumbents incur six months probationary periods.