Bioinformatics Jobs
A job board made for computational biologists and those seeking their support
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The Bioinformatics CRO is a fully distributed contract research company that serves the computational biology needs of biotechnology companies, with a focus on genomics. We are expanding our valued network of highly skilled consultants, which spans all inhabitable continents and most areas of computational biology.
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At The Bioinformatics CRO, we hope to assist biotech companies with all their computational biology needs. Whether you are looking for custom analyses or a new full-time hire, we can help. With our extensive talent network and field-specific expertise, we'll help you find the right bioinformatics job candidate. Get more from your recruitment and let us find your next hire.
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Bioinformatics Research Scientist, Division of Infectious Diseases...
The Division of Infectious Diseases and International Health is seeking a talented and passionate Bioinformatics Research Scientist to support ongoing bioinformatics analysis needs. The individual will integrate their knowledge and experience into current research and clinical efforts undertaken by two investigators, especially in analyzing large-scale genomic data with a focus on its... applications in the field of microbiology. There will be an expectation for research and development in public health emerging pathogen genomics with applications in metagenomics, comparative microbial genomic and mobile genetic elements. There will also be a need to maintain and develop, document, and validate comparative genomic analysis for speciation as well as strain comparison. The candidate will need to collaborate closely with the wet lab technologists and be comfortable handling appropriate private health information required with the clinical work. Overseeing the training of another bioinformatics scientists in running and maintaining the computing pipelines will be expected. Development in the area of pathogen genomics would be welcome and encouraged. This can include long read plasmid analysis and comparison to understand mobile resistance, metagenomics, antimicrobial resistance evaluation, data sharing, and development in computing efficiencies/pipeline development. There would also be opportunities for collaboration with public health, biocomplexity institutes, and hospital epidemiology. The candidate will have the opportunity to collaborate with additional faculty and public health leaders through the CDC Pathogen Genomic Center of Excellence on multiple distinct projects including microbiome, microbe strain relatedness, and developing and designing queries for virulence and resistance genes. The candidate is expected to work on the university-shared high-performance computing infrastructure that is tailor designed to address the substantial processing, networking, and data moving challenges arising from genomic science. The candidate will also be responsible for writing manuscripts describing their work and presenting at national/international conferences. Essential Duties and Responsibilities: • Collaborate extensively with Investigators and Faculty on all aspects of their research projects, from experimental design to data processing/analysis/visualization/exploration, as well as downstream statistical analysis for biological insights • Develop and implement automated NGS analysis workflows for genomic/metagenomics datasets • Ability to adapt to the highly dynamic nature of the bioinformatics field and contribute to the evaluation, testing, and implementation of new software packages and algorithms • Act as a liaison to various data science sections across the University of Virginia, including the health system data warehouse teams and the academic research computing teams • Provide bioinformatics consulting and data analysis/visualization support to various faculty. Train/mentor/supervise junior researchers who are interested in learning the recent developments in bioinformatics tools • In addition to the above job responsibilities, other duties may be assigned. Required Knowledge & Skills: • Understanding of next generation sequencing technologies and their applications, including Illumina, Nanopore, and PacBio platforms, is a must • Strong knowledge of working in a Linux environment; experience working on a high-performance computing cluster is desirable • Advanced proficiency in Python, Perl, or another scripting language • Advanced proficiency in R/Python (or other), for data management, data visualization and statistical analysis • Experience in using common open-source bioinformatics tools for analyzing next-generation sequence datasets • Prior experience working with prokaryotic whole genome sequencing data is desirable • Prior experience working with metagenomics/metatranscriptomics datasets for microbiome research is desirable • Familiarity with both structured (SQL) and/or unstructured (no-SQL) databases is desirable; not required • Prior experience using a workflow management system like Nextflow/Snakemake/WDL-Cromwell to setup, execute and monitor complex bioinformatics pipelines is desirable • Familiarity using version control tools like Git/Github • Motivated, independent and highly organized • Excellent written and oral communication skills Qualified candidates must have a Ph.D in computational biology, microbial genetics, bioinformatics, computer science, or a related field. A minimum of 2 years of related experience is preferred. This position is located in Charlottesville, VA. This is a restricted position; continuation is dependent on funding and satisfactory performance. This position will remain open until filled. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment. To Apply: Please apply through Workday , and search for R0042263. Complete an application online with the following documents: • CV • Cover letter • Contact information for 3 references Upload all materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission. Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs'. For questions about the application process, please contact Jessica Russo, Recruiter, at sxv9zv@virginia.edu . For more information about UVA and the Charlottesville community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/ . COVID Vaccination Requirement and Guidelines Please visitthe UVA COVID-19 Job Requirements and Guidelines webpageprior to applying for current information regarding vaccination requirementsandguidelines for employment at UVA. The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information
Data Scientist I, Bioinformatics
Job Summary The Bioinformatics department has an opening for a Data Scientist I. This role will employ a highly skilled data scientist with expertise in developing machine learning models to curate and analyze large, multi-modal datasets generated by the SimCenter at UT Southwestern Medical School. Experience with using machine learning for analyses of video-based data sets is a plus. They will... work closely with our software and AI engineers to ensure that the models are integrated into actionable user interfaces. Job Duties • Analyzes and develops formalisms, algorithms and software for applications in biomedical research. • Develops and maintains software tools and infrastructure for resolving specific problems. • Assists in the development, testing and revision of programs in a team with diverse bioinformatics expertise. • Performs other duties as assigned. Responsibilities: • Clean, organize, and analyze large, multi-model data sets • Build, train, test, and evaluate machine learning models on our proprietary data sets • Understand and implement the latest video-based machine learning models • Continuously improve the performance of the models by analyzing results and experimenting with different techniques • Collaboratively ensure the models are integrated into the user interfaces. Experience and Education M.S. in Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related field OR B.S. with demonstrated experience in broadly defined areas of bioinformatics. 0 - 2 years post-graduation experience in data analysis and/or scientific software development. Technical Skills/Specifications: • Strong experience with Python and related data science libraries such as Pandas, Numpy, Scikit-learn. • Strong experience with machine learning frameworks such as Tensorflow or PyTorch. • Experience with video analysis with machine learning, specifically with CNNs and other deep learning models. • Experience with data visualization tools such as Matplotlib or Seaborn. • Strong understanding of data science and machine learning principles and best practices. • Experience with cloud platforms such as AWS or GCP. • Strong debugging and problem-solving skills. Why UT Southwestern? With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. At UT Southwestern, we invest in you with opportunities for career growth and development that align with your future goals and help to provide security for you and your family. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more that are all available on the day you start work. UT Southwestern is honored to be a Veteran Friendly work environment that is home to approximately 800 veterans. We value your integrity, dedication, and the commitment you’ve made to our country. We’re proud to support your next mission. Ranked by Forbes as one of the Top 10 National Employers, we invite you to be a part of the UT Southwestern team where you’ll discover teamwork, professionalism, and consistent opportunities for growth. This position is security-sensitive and subject to Texas Education Code §51.215, which authorizes UT Southwestern to obtain criminal history record information. UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. To learn more, please visit: https://jobs.utsouthwestern.edu/why-work-here/diversity-inclusion
Bioinformatics Analyst
BioSkryb is a venture-backed startup bringing new solutions for cellular heterogeneity in both the research and clinical space studies using our proprietary genome amplification system. BioSkryb’s ResolveDNA™ technology enables even coverage of the entire genome during DNA amplification and allows for unparalleled accuracy and uniformity in DNA sequence coverage and base calling. We believe our... technology will enable a new generation of single cell and low DNA genomics applications in diverse markets like cancer genomics, bacterial genomics, personal genomics and Minimal Residual Disease testing. We are seeking a Bioinformatics Analyst to join an exciting, fast-growing, and well-financed company to aid in the development of novel single cell sequencing applications. The individual will be at the ‘front lines’ of data analysis from external client base and internal R&D team. Regular work involves executing analytical workflows, summarize and interpret results across a range of applications. This extends to development of analytical systems, testing of applications in our commercial bioinformatics platform, BaseJumper. Familiarity with working in high performance computer environments, organizing and presenting results while maintaining biological understanding of results are required. Responsibilities • Analyze next generation sequencing data in the support of client projects, product development and chemistry enhancements • Maintain schedule of tasks so that project timeline expectations are met. Communication to internal / external stakeholders of shift to timelines • Report on quality control within guidelines established by company policy. Providing recommendations to quality criteria where appropriate • Routinely provide summarization of project results and visualizations to senior team members • Create documentation on analytical processes and interpretation of output from BaseJumper • Develop documentation of analyses conducted and/or analysis plans and specifications, as appropriate • Review and modify procedures for data management cycles, performing data auditing as necessary for proper curation of very large datasets • Generate novel tools as necessary Minimum Required Education and Experience • Bachelor’s Degree or educational equivalent in Bioinformatics, Molecular Biology, Statistics, Genomics or related field OR • Equivalent combination of education, training and experience of which bioinformatics is a strong component • Experience in analyzing NGS data: genomic or transcriptomic • Tool development in Python / R • Familiarity with common biological data formats, including transcript counting data, VCF, JSON, BAM • Experience with Linux and common command line tools • Clear oral and written communication skills, demonstrated code documentation • Ability to establish and maintain effective working relationships with coworkers, managers and clients • Above all, the ability and willingness to learn new skills and solve new challenges Preferred Experience • Familiarity with single-cell genomic datasets • Representing large datasets through platforms such as RShiny, Plotly, Tableau • Experience operating in cloud environment, preferably AWS (batch, lamda, eventBridge) • Understanding of cellular biology and/or cancer biology Physical Requirements • Extensive use of keyboard requiring repetitive motion of fingers • Regular sitting for extended periods of time BioSkryb Inc. is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law
Senior Scientist, Bioinformatics, Oncology R&D
Senior Scientist, Bioinformatics, Oncology R&D Gaithersburg, MD or Waltham, MA... AstraZeneca is a global, science-led, patient-focused biopharmaceutical company. It is dedicated to discovering, developing, and delivering innovative, meaningful medicines and healthcare solutions for some of the world’s most serious diseases. At AstraZeneca Oncology, we are leading a revolution to redefine cancer care by pushing the boundaries of science to change the practice of medicine and transform the lives of patients living with cancer. Working with one of the broadest and deepest Oncology pipelines in the industry offers the exciting opportunity to impact the most novel molecules throughout development stages. The Early Data Science group delivers actionable insights through the application of computational science to all areas of AstraZeneca’s Oncology portfolio. It has substantial expertise and outstanding track record in bioinformatics and data science, undertaking both portfolio applied informatics research and the development of ground-breaking capabilities. Do you have expertise in bioinformatics/computational biology and immuno-oncology? Do you have experience deciphering complex clinical omics datasets? Do you have a passion for turning scientific discoveries and insights into life-changing medicines? Do you enjoy team work in a highly dynamic and innovative environment? This role at AstraZeneca might be the one for you! You will be based in our Gaithersburg MD or Waltham MA campus. What you’ll do The Early Data Science group is growing to meet the strategic challenges pursued by AZ Oncology. We are looking for a hardworking and motivated Senior Scientist to join our Late IO team. The role will focus on our expanding portfolio of bispecific assets and immuno-therapy containing regimes in clinical stage. You will • Work as an integrative part of bispecific or IO project teams and deliver bioinformatics expertise in a proactive manner • Identify impactful questions and apply state-of-art computational/system biology approaches to discover actionable insights from complex clinical genomic data • Build robust hypotheses along with comprehensive evidence packages by using wealth of AZ oncology trials, RWE and public databases as needed • Contribute translational findings to enable informed decision-making of Ph1/2/3 clinical trials and guide their design • Collaborate closely with our Translational Medicine Leads to drive effective data generation from clinical trials and help address technology/analytics gaps • Publish work in high impact journals with industry and academic partners to increase visibility of AZ data science Essential for the role • Relevant PhD (or MS degree with 4+ years applied experience), combining technical expertise in computational biology, bioinformatics, data science or applied biostatistic • A solid understanding of the molecular and/or immunological mechanisms driving cancer • Experience and knowledge with data from clinical trials or RWE is strongly desired • Skilled in effective communication of complex data, analysis and results to non-computational scientists and partner lines • The ability to successfully work in a matrix setting and manage multiple simultaneous priorities on tight deadlines • Programming proficiency (R and/or Python preferred) in a Linux environment of high performance computing Why AstraZeneca? At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognizing their potential. Join us on our journey of building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, groundbreaking cutting edge methods and bringing unexpected teams together. Interested? Come and join our journey. So, what’s next- Are you already envisioning yourself joining our team? Good! We can’t wait to hear from you! If you’re curious to know more, please contact Bobbi Poole, our Talent Acquisition Partner. Closing Date: June 21, 2023 Competitive remuneration and benefits apply We offer a competitive Total Reward program including a market driven base salary, bonus and long term incentive. We have a generous paid time off program and a comprehensive benefits package. Where can I find out more? Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/ Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/ Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We follow all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. AstraZeneca requires all US employees to be fully vaccinated for COVID-19 but will consider requests for reasonable accommodations as required by applicable law
Scientist - RNA Bioinformatics (US-Remote)
HOW MIGHT YOU DEFY IMAGINATION? You’ve worked hard to become the professional you are today and are now ready to take the next step in your career. How will you put your skills, experience and passion to work toward your goals? At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10... million patients worldwide. Come do your best work alongside other innovative, driven professionals in this meaningful role. Scientist - RNA Bioinformatics Live What you will do Let’s do this. Let’s change the world. We are actively seeking a highly qualified and motivated Scientist with a strong background in RNA bioinformatics. The scientist will join the Bioinformatics Technology team within Amgen’s Center for Research Acceleration by Digital Innovation (CRADI). CRADI is a multi-disciplinary effort embedded within our drug discovery engine that continually uses advancement in digital technologies for disease modeling and digital modality engineering to accelerate our pipeline from target inception through drug development. Bioinformatics Technologies plays a pivotal role within CRADI’s Computational Biology and Bioinformatics function, establishing an innovation engine for deploying and exploiting emerging digital technologies in the field of computational biology. RNA therapeutics comprise a rapidly expanding class of modalities that will fast-track solutions to the clinic. In this vital role you will lead the development and implementation of AI/ML models and optimization paradigms for the design of best-in-class RNA therapeutics. This position will involve close collaborative relationships with scientists within RNA therapeutic research, safety sciences, and therapeutic areas as well as data scientists and engineering partners across Amgen R&D. An ability to communicate clearly and collaborate effectively with colleagues from different fields will be essential. The successful candidate will possess strong analytical proficiency, have a high degree of technical competency in computational sciences with a deep theoretical understanding of machine learning paired with excellent understanding of RNA biology proven by a strong track record of innovative and collaborative research published through peer-reviewed publications. RESPONSIBILITIES: • Engage in collaborative efforts with stakeholders and subject matter experts to formulate technical solutions accelerating the development and increasing clinical efficacy of RNA therapeutic modalities • Find opportunities, set strategy, and deliver appropriate quantitative methods, such as discriminative and generative AI/ML models, to push the state of the art for optimizing RNA therapeutic modality design, formulation, and delivery • Consult on data generation and translate experimental findings into computational model design and refinement • Serve as subject matter expert on the intersection of computer science and RNA biology • Clearly document methods and analyses to allow reproducible research • Collaborate with engineers and data scientists to develop innovative bioinformatics tools that facilitate data access, model utilization, and output interpretation • Communicate project results and data-driven recommendations to stakeholders and cross-functional partners • Monitor, review, and critically interpret published computational research spanning RNA therapeutics and emerging oligonucleotide modalities • Proactively scope and deploy novel computational methods and digital technologies Win What we expect of you We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a scientist with these qualifications. Basic Qualifications: Doctorate degree Or Master’s degree and 4 years of computational biology, bioinformatics, biomedical data science or related field Or Bachelor’s degree and 6 years of computational biology, bioinformatics, biomedical data science or related field Preferred Qualifications: • PhD in computer science, data science, computational biology or bioinformatics including industry experience • Deep experience in and theoretical understanding of statistical modeling, machine learning, deep learning, and other relevant quantitative methods • Knowledge in RNA biology, particularly RNA structure and function • Fluency in scientific programming and tool development with R, Python, or equivalents. Proficiency in C++ or Java is a plus. • Proven record of innovative thinking to propose and champion the development of novel algorithms and AI/ML models that generated interpretable and actionable results for practical applications • Experience with software development good practices, including code versioning, documentation, and testing, amongst others • Experience with cloud computing • Creative, open-minded, and passionate about scientific research • Demonstrated ability to thrive in a team environment • Strong interpersonal, collaborative, organizational, and presentation skills • Understanding of RNA therapeutic modality discovery and development is a plus Thrive What you can expect of us As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. The annual base salary range for this opportunity in the U.S. is $135,563 - $150,625. In addition to the base salary, Amgen offers a Total Rewards Plan comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including: • Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan • Stock-based long-term incentives • Award-winning time-off plans and bi-annual company-wide shutdowns • Flexible work models, including remote work arrangements, where possible Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com Join Us If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you'll find it at Amgen. Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancers, kidney disease, rheumatoid arthritis and other serious illnesses. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation
Bioinformatics Analyst I
Bioinformatics Analyst I Job ID: req3397... Employee Type: exempt full-time Division: Bioinformatics and Computational Science Facility: Frederick: Ft Detrick Location: PO Box B, Frederick, MD 21702 USA The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases. Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way. PROGRAM DESCRIPTION The Frederick National Laboratory is dedicated to improving human health through the discovery and innovation in the biomedical sciences, focusing on cancer, AIDS and emerging infectious diseases. The Bioinformatics and Computational Science (BACS) Directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of bioinformatics and computational science by developing and applying world-leading computing technologies to basic and applied biomedical research challenges, data science, supporting critical operations, developing and delivering national data resources, and utilizing leading-edge software. The Advanced Biomedical and Computational Science (ABCS) group is a part of BACS and serves as a hub of translational scientists with expertise in machine learning applied to the interpretation of 2D and 3D biomedical images, clinical and genomics integration, computational chemistry, protein modeling, bioinformatic analysis of omics data, and other applications of computational and data science. ABCS develops state-of-the-art technologies in large-scale data modeling, analysis, and integration and supports the scientific research at the Frederick National Lab by helping translate scientific questions to technical solutions for cancer and biomedical research. KEY ROLES/RESPONSIBILITIES • Work independently and with management to design and develop software applications including application architectures and data modeling • Define metadata templates for data sharing of biological assay data • Performs documentation, coding, debugging, testing and troubleshooting throughout the application development lifecycle process • Work independently and with management to define requirements, tasks and timelines • Develop and maintain program code in adherence with established coding standards • Develop and enhance UI designs and architectures • Assist in creating and management of technical documentation • Report project status regularly to management • Manage and maintain code repository • Monitor application day-to-day performance and perform program tuning as needed • Other duties as required BASIS QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: • Possession of a Bachelor's degree from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) or 4 years of relevant experience in lieu of degree • Foreign degrees must be evaluated for U.S. equivalency • Self-starter, motivated toward success • Experience working in a scientific environment with bench scientists and programming experts • Experience designing, developing and delivering dynamic web systems; HTML/HTML5, PHP, Python (or equivalent server-side language), MySQL, MVC, CSS, OOP, JavaScript • Demonstrated web page design programming experience using a combination of HTML, HTML5, CSS, Java, Ajax and JavaScript • Ability to identify and resolve cross browser and cross platform compatibility/connectivity issues • Experience with MySQL and/or other relational database management systems • Solid Understanding of OOP (Object-Oriented Programming), the model/view/controller (MVC) pattern of application programming • Experience developing web-based application front ends utilizing valid HTML, cascading style sheets (CSS), and JavaScript • Experience with open-source libraries/frameworks such as Laravel, jQuery and Bootstrap • Knowledge of biomedical methodologies and experimental assays • Ability to obtain and maintain a security clearance PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • Knowledge of Section 508 accessibility and compliance requirements • Experience developing Specifications/Wireframes • Experience in implementation of workflows management systems • Experience in project planning and project life cycle methodology • Experience in Unit Testing and/or CI/CD • Experience using subversion/GIT EXPECTED COMPETENCIES • Self-starter, motivated toward success • Experience designing, developing and delivering Web 2.0 systems; HTML/HTML5, SQL, MVC, CSS, OOP, JavaScript • Demonstrated web page design programming experience using a combination of HTML, HTML5, CSS, Ajax and JavaScript • Working knowledge of SQL • Ability to identify and resolve cross browser and cross platform compatibility/connectivity issues Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW) #readytowork
Bioinformatics Scientist II, Biopharma Collaborations
Company Description Guardant Health is a leading precision oncology company focused on helping conquer cancer globally through use of its proprietary tests, vast data sets and advanced analytics. The Guardant Health oncology platform leverages capabilities to drive commercial adoption, improve patient clinical outcomes and lower healthcare costs across all stages of the cancer care continuum... Guardant Health has commercially launched Guardant360®, Guardant360 CDx, Guardant360 TissueNext™, Guardant360 Response™, and GuardantOMNI® tests for advanced stage cancer patients, and Guardant Reveal™ for early-stage cancer patients. The Guardant Health screening portfolio, including the Shield™ test, aims to address the needs of individuals eligible for cancer screening. Job Description The Bioinformatics, BioPharma team at Guardant Health is focused on partnerships with leading biotech and pharma companies who are at the forefront of cancer therapeutics and diagnostics. In this role, you will help lead the bioinformatics and data analysis in support of the late-stage oncology products and other emerging technologies. You will work with a number of BioPharma and clinical customers, tailor personalized analyses for each organization, and tackle some of the most interesting biological and technical questions related to cancer diagnostics and therapy selection. You will contribute to BioPharma project initiatives in-house, including development of novel bioinformatic and analytical methods. As a part of the Bioinformatics and BioPharma teams, you will have the opportunity to innovate and implement your ideas to continuously improve our oncology products and analytics to adapt to the changing landscape of BioPharma needs. You will work closely with multiple teams across Guardant Health, including Bioinformatics, Medical Affairs, Software, Business Development, Technology Development, and Operations. You will gain first-hand experience working with experts in each of these areas to accomplish projects related to Guardant Health’s BioPharma business. You will work together with our collaborators in industry, hospitals and academia on high-impact translational research and publish on your findings. You will have access to the unprecedented compendium of data collected at Guardant Health and you will be able to (and should be excited to!) leverage this data for tumor biology and technological insights. Qualifications • PhD in bioinformatics, genomics or related fields with 2-3 years of experience • Extensive knowledge of molecular biology and cancer genomics • Expertise in scripting language – R and/or Python and linux shell environment (Bonus: experience developing novel / custom algorithms for interpretation of NGS data) • Excellent data analysis skills and working knowledge of statistical methods • Experience with NGS data and landscape of bioinformatics tools (Bonus: direct experience with epigenomic data) • Desire and ability to dig deeply through various data types to seek out answers • Great communication and presentation skills, ability to present clearly and effectively to stakeholders across organizations • Ability to work well in a fast-paced startup environment, delivering high-quality results under tight timelines • Ability to synthesize high-level concepts, drive projects forward, while maintaining attention to detail • Strong team player: ability to work together with your team as well as cross-functionally and even across institutions, to accomplish your goals Additional Information Hybrid Work Model: At Guardant Health, we have defined days for in-person/onsite collaboration and work-from-home days for individual-focused time. All U.S. employees who live within 50 miles of a Guardant facility will be required to be onsite on Mondays, Tuesdays, and Thursdays. We have found aligning our scheduled in-office days allows our teams to do the best work and creates the focused thinking time our innovative work requires. At Guardant, our work model has created flexibility for better work-life balance while keeping teams connected to advance our science for our patients. For positions based in Palo Alto, CA or Redwood City, CA, the base salary range for this full-time position is $124,240 to $168,000. The range does not include benefits, and if applicable, bonus, commission, or equity. The US base salary range for this full-time position is $86,968 to $134,400. The range does not include benefits, and if applicable, bonus, commission, or equity. The range displayed reflects the minimum and maximum target for new hire salaries across all US locations for the posted role. Within the range, individual pay is determined by work location and additional factors, including, but not limited to, job-related skills, experience, and relevant education or training. If you are selected to move forward, the recruiting team will provide details specific to the factors above. Employee may be required to lift routine office supplies and use office equipment. Majority of the work is performed in a desk/office environment; however, there may be exposure to high noise levels, fumes, and biohazard material in the laboratory environment. Ability to sit for extended periods of time. Guardant Health is committed to providing reasonable accommodations in our hiring processes for candidates with disabilities, long-term conditions, mental health conditions, or sincerely held religious beliefs. If you need support, please reach out to Peopleteam@guardanthealth.com Guardant Health 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, or protected veteran status and will not be discriminated against on the basis of disability. All your information will be kept confidential according to EEO guidelines. To learn more about the information collected when you apply for a position at Guardant Health, Inc. and how it is used, please review our Privacy Notice for Job Applicants. Please visit our career page at: http://www.guardanthealth.com/jobs
Bioinformatics Analyst
Description Expected Starting Salary Range: 27.60 - 35.28... SUBFUNCTION DEFINITION: Bioinformatics applies biology, computer science, data science, and statistics to analyze and interpret biological and clinical data. REPRESENTATIVE RESPONSIBILITIES • Management and "wrangling" of genomic data. • Help manage Xenopus genomes and participate in genome annotation and gene nomenclature. • Perform gene orthology and genomic synteny analysis. • Help test newly developed code and provide feedback for developers. • Work with biocurators and developers on the technical specification of new features for the website. • Participate in data analysis and development of new ways to visualize data. • Help manage data exports for public use and data exchange with other databases (e.g., NCBI, UniProt). • Co-author reports and publications and give presentations at national and international meetings and workshops. •Informatics Curates, annotates and organizes various types of biomedical data (e.g., genomic, clinical, imaging, sequencing) in various formats (e.g., flat files, relational and non-relational databases). Collects and records appropriate metadata. Ensures data are securely stored yet highly accessible to authorized users. •Data Analysis Executes pipelines for curating, processing and analyzing biomedical data of various types (e.g., genomic, clinical, imaging, sequencing). Utilizes existing software to support complex data management tasks (e.g., sequence alignment, variant calling, inter-sample comparison, patient matching/linkage). Utilizes web-based bioinformatics tools and public/proprietary relational databases. Follows standard operating procedures. Works in collaboration with both technology and scientific teams. •Requirements Gathering Interfaces with clinicians/researchers to collect requirements of basic to moderate complexity including user workflows. Contributes to problem-solving and solution evaluation. •Software Evaluation & Development Contributes to the evaluation and development of software solutions to support basic to moderately complex data workflows. Under general supervision, assists with implementation and testing efforts. Effectively communicates the status of all efforts to necessary parties. Utilizes project and time management skills to complete projects within specific timeframes. •Publication Contributes to analyses and publications. Generates reports and figures for publications. Assists with materials for publications and scientific meetings. Works closely with biostaticians on the production of publication and presentation materials. Qualifications EDUCATION/EXPERIENCE Required: •Bachelor's degree in Bioinformatics and Genomics or related degree • 0 - 2 years of work experience in a related job discipline Preferred: • MSc or PhD degree in bioinformatics and genomics. • Experience working with genomic data • Experience with a programming language such Python • Experience with standard bioinformatic tools, analyses, and file formats (Genome Browsers, JBrowse, BLAST, BLAT, multi-sequence alignments, GFF, GTF, etc). • Strong interpersonal and communication skills, including excellent written and spoken English. • Demonstrated experience documenting code, pipelines and workflows • Demonstrated ability to work in a team as well as independently, efficiently (i.e., both quickly and accurately) • Preference will be given to an applicant with: • Experience with other genomic databases • Experience in relational databases, data annotation/biocuration. • Experience in analyzing genomics data, using genome browsers and common bioinformatics tools. • Experience with Git based version control, particularly GitLab, and continuous integration. • Experience in constructing and maintaining bioinformatic pipelines. Cincinnati Children's is proud to be an Equal Opportunity Employer that values and treasures Diversity, Equity, and Inclusion. We are committed to creating an environment of dignity and respect for all our employees, patients, and families (EEO/AA
Bioinformatics Analyst
Summary: Under the general supervision... of the Bioinformatics Scientist Department Manager Laboratory Directors and Pathologists and in accordance with established policies and procedures the Bioinformatics Analyst performs independently in the Department of Pathology. The Bioinformatics Analyst will be responsible for analyzing clinical Next Generation Sequencing data contributing to the development of data analysis pipelines and organizing and maintaining databases. Responsibilities: Participates in the daily clinical bioinformatics workflow such as DNA-seq and RNA-seq data analysis. Analyzes the clinical data for the validation of new Next Generation Sequencing tests. Assists with preparation of validation summaries of the new Next Generation Sequencing tests. Assists in developing analysis pipelines for Next Generation Sequencing tests. Evaluates analytical aspects of emerging analysis methods. Assists in the development of databases and webtools. Other information: BASIC KNOWLEDGE: Bachelor s Degree required. Master s Degree in Bioinformatics Computational Biology Computer Science or a related field is preferred. Demonstrates strong scientific understanding of genomics. Demonstrates proficiency in programming and scripting skills (e.g Perl Python or Java). Demonstrates knowledge of DNA-seq and RNA-seq data analysis tools (e.g. BWA GATK STAR Samtools). Demonstrates knowledge of database and webtool development (e.g. SQL HTML CSS Apache). Maintains up-to-date knowledge of bioinformatics data analysis tools Familiarity with CAP/CLIA lab setting is preferred but not required. EXPERIENCE: At least two years of industry or clinical lab experience. Experience in developing computational approaches for cancer genome and/or germline analysis is highly desirable. Excellent teamwork time management and organizational skills. WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS: This position requires the Bioinformatics Analyst to work closely with Bioinformatics Scientists Medical Technologists Management Laboratory Directors and Pathologists. Ability to operate equipment and instruments and to perform all procedures within assigned laboratory section and interpret them for accuracy. Physical and visual dexterity necessary to conduct and interpret analysis. Visual strain is encountered while closely examining data. INDEPENDENT ACTION: Ability to work independently in a fast-paced multidisciplinary environment. Ability to multi-task and work on multiple clinical and developmental projects simultaneously. Analyst functions independently within the department s policies and procedures. Refers specific complex issues to the Bioinformatics Scientist Manager Laboratory Directors or Pathologists when clarification of policies and procedures is required. SUPERVISORY RESPONSIBILITY: None. Lifespan is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin age ethnicity sexual orientation ancestry genetics gender identity or expression disability protected veteran or marital status. Lifespan is a VEVRAA Federal Contractor. Location: Rhode Island Hospital USA:RI:Providence Work Type: Full Time Shift: Shift 1 Union: Non-Union
Research Bioinformatician Bioinformatics & Comp Biology
The primary purpose of the Research Bioinformatician position is to carry out data preparation responsibilities related to cancer clinical trials, develop skilled statistical programs, perform statistical analysis associated with clinical data and prepare written reports to investigators. In addition, this position prepares statistical considerations for basic trial designs or grants and performs... biostatistical reviews of protocols. KEY FUNCTION: • Statistical Consulting and Collaboration: • Compiles, analyzes and reports statistical data for various projects including, but not limited to manual and computer-aided data abstraction and evaluation, clinical trials, computerized imaging and bioinformatics. • Prepares statistical considerations for basic trial designs and carries out uncomplicated statistical analyses independently, but completes statistical responsibilities for more complex projects with supervision. • Assists faculty in the development of new statistical methodology for measurement and analysis of data. • Applies advanced statistical methods, simulation models, and skilled statistical programming as needed. • Assesses relevant literature as well as existing data, evaluates the quality of data used in reports and assists with preparation and distribution of data for committee and scientific meetings. • Attends project meetings with collaborators with or without supervisor as directed by supervisor. • May present findings at relevant meetings both inside and outside of the institution as requested. • Protocol Review: • Participates in the protocol review process jointly with supervisor. • Statistical Reporting: • Prepares written reports to investigators jointly with supervisor. • May present findings at relevant meetings both inside and outside of the institution as requested. • Other duties as assigned. EDUCATION: Required: Master's degree in Biostatistics, Statistics, Bioinformatics, Mathematics or related field. Preferred: PhD in Biostatistics, Statistics, Bioinformatics, Mathematics or related field. EXPERIENCE: Required: Two years experience with mainframe and/or PC databases, document processing and statistical software such as SAS and S-Plus. With preferred degree, no required experience. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html Additional Information • Requisition ID: 147658 • Employment Status: Full-Time • Employee Status: Regular • Work Week: Days • Minimum Salary: US Dollar (USD) 81,000 • Midpoint Salary: US Dollar (USD) 101,500 • Maximum Salary : US Dollar (USD) 122,000 • FLSA: exempt and not eligible for overtime pay • Fund Type: Soft • Work Location: Remote (within Texas only) • Pivotal Position: Yes • Science Jobs: Yes #LI-Remote