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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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More Bioinformatics Jobs
Principal Scientist I Bioinformatics
The Position Roche Sequencing Solutions (RSS), a business within Roche Diagnostics, focused on developing a disruptive Next-Generation Sequencing (NGS) platform along with a portfolio of reagents, assays and informatics solutions for multiple disease areas. We are looking for a Principal Bioinformatics Scientist in the NGS Algorithms and Applications team to support the algorithm development... efforts. In this role, you will collaborate closely with assay scientists, software engineers and other bioinformatics scientist and apply your strong knowledge in next generation sequencing technologies. This will include illumine SBS (sequencing by synthesis), nanopore, etc. to design and develop algorithms for read processing, alignment, and variant (SNV, SV, insertions/deletions, CNV, TMB, MSI) callers etc. This will be used in our products that will affect patient care. Responsibilities: • Lead algorithm development effort for NGS applications including conceptualization, method development and implementation of production level algorithms in an Agile environment. • Follow software development process and deliver and maintain documentation that explains why and how as well as the final design for scientific, marketing, and regulatory uses • Present internally or externally (peer-reviewed publications or conference proceedings) and communicate updates across multiple functions in the organization. Transfer algorithm to production teams and provide scientific support for updates and maintenance • Support bioinformatics pipeline to continue development for existing products Qualifications: • PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics or other quantitative field combined with 4+ years’ experience of designing novel algorithms for NGS data analysis for example read processing, variant calling (SNV, insertions/deletions, CNV, SV, TMB, MSI etc.), variant annotation and analyzing large scale complex genomic datasets. • Experiences in developing novel algorithms, complexity analysis, as well as demonstrated skillset in statistical and mathematical modeling is a Must. • Experience implementing high-quality and efficient product level code. • In depth knowledge of sequencing (long and/or short read), cancer molecular biology, bioinformatics tools, statistical methods. • Proficient with programming languages (C++ and/or Python) in a distributed Linux environment • Experience with Machine learning / Deep learning (used in NGS context) is a plus. • Hands-on experience using a workflow management system such as Nextflow or Snakemake, using Docker and cloud computation resource and storage • Strong written and verbal communication skills with ability to adjust to technical and non-technical audiences • Result-oriented individual that thrives in collaborative multi-disciplinary teams. Excels at incorporating feedback in a professional manner. • One or more first/co-first author publication(s) in a high-impact peer reviewed journals is highly desired. Relocation assistance is not available for this role. The expected salary range for this position based on the primary location of Pleasanton CA is $111,000-$206,100. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Who we are At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity. Unless entitled to a reasonable accommodation under applicable law, employees are required to be fully vaccinated against COVID-19 in accordance with customer requirements, the company’s health and safety obligations and/or applicable law or guidelines. Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual’s race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law. If you have a disability and need an accommodation in connection with the on-line application process, please email us at US.Accommodation@roche.com
Research Scientist - Bioinformatics & Scientific method development
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and... volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. The scientific data and informatics group in Lilly Genetic Medicines is looking for a create and energetic computational scientist to participate in wide range of activities. The scientist will collaborate with a growing team comprised of chemists, biologist, bioinformaticians, geneticists and data scientists aimed at developing and enhancing in-silico capabilities for new modalities. This position presents an opportunity to support various stages of drug development from target identification to clinical candidate selection. Responsibilities: • Develop new computational/data science methodologies to improve the preparation, retrieval, analysis, and summarization of scientific data • Partner with business/research teams to identify/scope and execute data analytics efforts to answer scientific questions. • Maintain a strong communication and be fully engaged with scientists to ensure scientific delivery. • Support ongoing drug discovery projects through data analysis, tool and model development • Support the development & evaluation of new modalities from a target evaluation perspective. Minimal Qualifications: • Minimum PhD. in bioinformatics, chemoinformatics, computer sciences, biostatistics, or related field with minor in a biology/medical field. Additional skills: • Proficient in one or more scripting languages: Python, C++, PHP • Hands on experience in large scale data analysis in cheminformatics, biophysics, proteomics, genomics • Basic knowledge in genomes and transcriptomes. • A solid understanding of data science methodologies and application of these in solving drug discovery problems • A proven track record of development and independent implementation of widely used scientific applications/scripts/data sources • Global understanding of the drug discovery process and the different data resources available • Knowledge in web development is a plus • Excellent oral and written communication skills and the ability to effectively communicate across different cultures in the global scientific community • Ability to prioritize multiple activities and manage ambiguity. Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response. Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups. As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company (subject to applicable law). #WeAreLilly
Data Scientist - Bioinformatics
We seek a talented, energetic, and collaborative bioinformatician to design bioinformatics pipelines and analyze multi-platform data as part of the development of our flagship platform A 3 D 3 a: Adaptive, AI-augmented, Drug Discovery and Development. With expertise in genomics and the design and deployment of bioinformatics tools, the Data Scientist - Bioinformatics will inform our mission to... discover novel therapies for cancer patients. Led by Prof. Bissan Al-Lazikani, Director of Therapeutics Data Science, the intelligent and ever-learning A 3 D 3 a platform is part of the new initiative in Therapeutics Data Science and part of our ambitious Institute for Data Science in Oncology at MD Anderson. A 3 D 3 a will accelerate the discovery and impact of novel therapies for cancer by enabling novel opportunities for optimized therapies for patients with a focus on rare and hard-to-treat cancers through the development of novel machine learning and AI technologies. Central to this vision, the Data Scientist - Bioinformatics will innovate and deploy bioinformatics approaches to uncover hidden therapeutic opportunities in integrated patient data and will work closely with biologists, data scientists and clinicians. JOB RESPONSIBILITIES • Carry out preparation, clean-up, and quality control of biological data, including whole exome sequencing, whole genome sequencing, and RNA sequencing from both bulk and single-cell datasets • Develop and maintain pipelines for bioinformatics and statistical analyses of aforementioned data types; activities to include handling raw data, evaluating outputs, optimizing parameters and summarizing findings • Deploy bioinformatics pipelines in high performance computing environments • Visualize data and interpret results, including implementation of approaches such as variant calling, functional annotation, gene set enrichment, and pathway annotation • Maintain knowledge of latest bioinformatic approaches and genomic technologies and implement these where appropriate • Present results at multidisciplinary project meetings • Produce output for scientific publications and co-author said publications • Prepare written reports, manuscripts, and grant applications with investigators • Work closely with the team and collaborators to discover novel therapeutic opportunities for cancer patients EXPECTED SKILLS • Deep knowledge of bioinformatics tools and their implementation as part of pipelines, particularly for whole genome sequencing, whole exome sequencing, and RNA sequencing data, in both bulk and single-cell contexts • Demonstrated experience and understanding of genomic technologies and analysis of data generated • Analyzing and interpreting outputs to identify insights and hypotheses from data • Understanding of essential statistical methodologies required for bioinformatics analyses • Addressing challenges in bioinformatics as well as mitigation strategies including bias, batch correction, etc. • Applying data clustering (e.g., t-SNE, UMAP, novel approaches) and basic machine learning techniques to complement bioinformatic analyses • Utilizing High Performance Computing to run large-scale analyses • Deploying pipelining tools (e.g., Nextflow or similar) • Unix, R, Python or other scripting/programming languages EDUCATION: Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. Preferred: PhD in Natural/Medical sciences or computational biology, ideally with postdoctoral experience EXPERIENCE: Required: Three years experience in scientific software development/analysis. With Master's degree, one years experience required. With PhD, no experience required. Preferred: One year of postdoctoral 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: 157058 • Employment Status: Full-Time • Employee Status: Regular • Work Week: Day/Evening • Minimum Salary: US Dollar (USD) 84,500 • Midpoint Salary: US Dollar (USD) 105,500 • Maximum Salary : US Dollar (USD) 126,500 • FLSA: exempt and not eligible for overtime pay • Fund Type: Soft • Work Location: Hybrid Onsite/Remote • Pivotal Position: Yes • Referral Bonus Available?: Yes • Relocation Assistance Available?: Yes • Science Jobs: Yes
Seeking a BIOINFORMATICS SCIENTIST
Job Description Seeking a Bioinformatics Scientist to participate in clinical test development, validation and maintenance of data analysis pipelines, monitoring of quality metrics and the analysis of datasets... • Must follow all SOP directives • Participates in the design and execution of clinical validation studies to assess diagnostic test performance • Participates in clinical test development as needed • In conjunction with laboratory staff, physicians, and genetic counselors, participates in the review of patient results and development of interpretations for clinical reports • * Maintains data analysis pipelines, monitors quality metrics, and analyzes large data sets • Performs statistical and integrative data analysis of genomic data, summarizing complex datasets, and presenting analysis results in professional and concise manner • Develops and/or implements “cutting-edge” or novel analysis techniques for high-throughput genomic data • Evaluates novel platforms and various techniques in DNA sequencing, genotyping, and copy-number variation for use in research and clinical setting • Responsible for maintaining internal and external back-ups of large data sets • Contributes to a team effort in designing, developing, and deploying robust workflows and custom scripts to support the analysis of high-throughput data • Prepares datasets for submission to data warehouses & collects/curates metadata using established (MIAME) standards • Works closely with collaborators to facilitate dataset submissions using established standards in common nationally recognized dataset repositories (GEO) • Presents analysis results in a clear and concise manner • Validates and maintains data analysis pipelines • Monitors quality metrics and performs analysis on large datasets • Maintains and develops SOP documentation of next-generation sequencing and microarray bioinformatics pipelines • Is open to all changes within a continually evolving field • Follows all directives given by laboratory director Bachelor’s degree in a related field and Master’s degree in Bioinformatics, or a Master’s degree in a related field + 4 years of experience in a bioinformatics position At least 4 years of experience in a research laboratory or clinical laboratory setting Demonstrated proficiency in Microsoft Office, related programming languages (Perl, Python, GO, java, etc.), shell scripting within a linux environment, and genetic data repositories (NCBI, COSMIC, etc.) and databases (GO, Panther, etc.) The position requires related experience working in external relationship management Strong organizational skills, attention to detail and flexibility Strong written and verbal communication skills Ability to work effectively with cross-functional teams in a fast-paced environment Self-driven individual, ability to work with minimal direction If this sounds like the type of opportunity you see yourself transitioning into next, contact Julie Gross at 605-705-6836. Resumes may be sent confidentially to email@example.com. All qualified applicants will receive consideration without regard to race, age, color, sex (including pregnancy), religion, national origin, disability, sexual orientation, gender identity, marital status, military status, genetic information, or any other status protected by applicable laws or regulations. GPAC (Growing People and Companies) is an award-winning search firm specializing in placing quality professionals within multiple industries across the United States since 1990. We are extremely competitive, client-focused and realize that our value is in our ability to deliver the right solutions at the right time
NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human... condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity, diversity, and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Bioinformatics Analyst. NYU Langone Health Medical Center, a world-class, patient-centered, integrated, academic medical center, and one of the nations premier centers for excellence in clinical care, biomedical research and medical education, is seeking highly motivated, enthusiastic individual to join the Imielinski Lab at the Perlmutter Cancer Center. The successful candidate will be responsible for genome analysis, algorithm development, and innovative cutting-edge cancer research conducted in the Imielinski Lab and Perlmutter Cancer Center. Job Responsibilities: Assist in preparing concise presentations of computational results. Work with the Perlmutter Cancer Center cancer genomics team to integrate different types of genomics data. Adapt genomic data analysis pipelines in a rapidly evolving research environment. Assist in the design, implementation and execution of novel algorithms in lab centered and collaborative research projects. Assist in the design, implementation, and execution standard pipelines for routine genomics data analyses. Perform robust data quality control and validation. Work closely with bench scientists to understand and help accomplish their research goals. Other duties as assigned. Minimum Qualifications: To qualify you must have a B.S. in mathematics, biological sciences, computer science or related disciplines. Experience in Unix/Linux systems including HPC environments. Scripting languages: Python or Perl. Statistical packages: R (preferred) or Matlab. Excellent communication skills with proficiency in written and oral English. Preferred Qualifications: Experience in Unix/Linux systems including HPC environments. Experience with genome analysis and/or data science using R / Bioconductor (preferred), Python, Julia, Jupyter. Experience with common genomics tools (bwa, samtools, bcftools, bedtools, R/Bioconductor, Genomic Ranges) and file formats (bam, vcf, bigwig, bed, bedpe, etc.). Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online. If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. NYU Langone Health provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $63,935.04 - $83,200.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here
PacBio (NASDAQ: PACB) is a premier life science technology company that is designing, developing, and manufacturing advanced sequencing solutions to enable the promise of genomics to better human health... The Computational Biology team supports the company mission by developing easy-to-use informatics solutions that deliver the best clinical and research genomes, transcriptomes and methylomes. Our team works closely with customers and the scientific community to continually identify and solve the most impactful genomics problems. Through collaborations, conference presentations and peer-reviewed publications, we represent the externally visible scientific face of PacBio. We are seeking a computational biologist who has passion for making ideas a reality by exploring the unknown, implementing proven and novel techniques to solve hard problems, and working collaboratively with internal and external scientists. Required qualifications • A Ph.D. or M.S. in a computational field or equivalent years of related work experience. • Strong problem-solving and analytical skills. • Experience analyzing DNA/RNA sequencing data, or proteomics data • Demonstrated ability to develop novel algorithms and write scientific software. • A published author in a peer reviewed journal. • Clear written and verbal communication. Preferred qualifications • Strong programming skills in Python, Rust, or C++. • Experience writing software collaboratively using version control. • Willingness to disseminate work at scientific conferences, in person. • Experience with data visualization. • Ability to work collaboratively in cross-functional teams. All listed tasks and responsibilities are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional tasks and responsibilities. #LI-Hybrid Salary Range: $110,500.00 - $149,500.00 Please be aware that, as a condition of employment, proof of COVID vaccination is required for all U.S.-based employees (subject to limited exceptions). To ensure the health and safety of all PacBio employees and our prospective candidates, we have instituted a virtual interview experience. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at PacBio. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. PacBio does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, PacBio employees or any other company location. PacBio is not responsible for any fees related to unsolicited resumes/applications. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability, gender identity, and sexual orientation. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 650-521-8000, or http://firstname.lastname@example.org for assistance. Visit our following pages for more information on: • FAQs • Benefits • Culture • Equal Opportunity Employment
Bioinformatics Data Engineer #2770
GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science... to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. GRAIL, LLC is a wholly-owned subsidiary of Illumina, Inc. (NASDAQ:ILMN). For more information, please visit www.grail.com. The Data Engineering group, within the Software - Technology organization, is looking to hire a Bioinformatics Data Engineer (BXDE) to partner with computational, engineering and clinical study teams in developing data solutions for the GRAIL product pipeline. The BXDE will partner with scientists and statisticians to support efficient and accurate capture and transfer of sample information and analysis results through GRAIL’s analysis systems. As such, the BXDE will become proficient in GRAIL’s analysis system architecture, including primarily GRAIL’s LIMS for laboratory data; Electronic Data Capture (EDC) for clinical study data; the Bioinformatics Pipeline for sequence analysis and cancer classification data; and TidyData, the system that aggregates, packages, and serves datasets created from LIMS, EDC, and Pipeline outputs. The BXDE will also collaborate with software engineers and scientists to develop and produce analysis-ready datasets for clinical research and product development. The BXDE will develop code and procedures to support dataset generation, perform QC, and troubleshoot issues that arise during dataset generation. The BXDE will also collect requirements, develop prototypes, and collaborate on production implementations of new reporting-related features as needed. The BXDE will learn analysis requirements by reading laboratory protocols, Statistical Analysis Plans, and other analysis planning documents and meeting with scientists, biostatisticians, and other stakeholders. Additionally the BXDE may have opportunities to collaborate on statistical analyses and creation of analysis reports and interactive data visualizations. RESPONSIBILITIES • Support successful scientific analyses by ensuring scientists can focus on analyses and not have to learn all of the nuances of GRAIL’s analysis systems • Ensure that at the end of sample and data processing, TidyData can generate a complete and accurate analysis-ready dataset • Develop and support processes for analysis dataset creation, QC, and release • Develop standards and procedures to improve efficiency of new dataset implementation • Collect user requirements and develop custom reporting features as well as prototypes for future production reporting features • Define dataset QC procedures, report templates, and automated reports for streamlined execution of QC procedures • Maintain data integrity and quality throughout the data lifecycle, including ensuring clinical study-related blinding where appropriate. PREFERRED BACKGROUND • BS or MS in a scientific field (life science, computer science, engineering, mathematics, statistics, bioinformatics, etc.). • Experience with R or Python programming is required • Experience with basic concepts of molecular biology is required • Experience with cross-functional collaboration while ensuring data quality and commitment to analysis reproducibility is required • Excellent interpersonal communication (written and verbal) and organizational skills is required • Excellent team player with a demonstrated track record of success in a cross-functional team environment. Consistent commitment to delivering on team goals with a sense of shared urgency is required • Experience in the field of molecular diagnostics is a plus • Experience with CDISC data models is a plus • Experience with Amazon Web Services is a plus • Experience with data visualization and analytics tools is a plus The estimated, full-time, annual base pay scale for this position is $111,000 - $150,000. Actual base pay will consider skills, experience, and location. Based on the role, colleagues may be eligible to participate in an annual bonus plan tied to company and individual performance, or an incentive plan. We also offer a long-term incentive plan to align company and colleague success over time. In addition, GRAIL offers a progressive benefit package, including flexible time-off, a 401k with a company match, and alongside our medical, dental, vision plans, carefully selected mindfulness offerings. GRAIL is an Equal Employment Office and Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. We will reasonably accommodate all individuals with disabilities so that they can 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. Following extensive monitoring, consideration of business implications, and advice from internal and external experts, GRAIL US has made the decision to require that all U.S. employees be “Fully Vaccinated” with the COVID-19 vaccine. “Fully Vaccinated” is defined as two weeks after both doses of a two-dose vaccine (e.g. Pfizer or Moderna) or two weeks since a single-dose vaccine (e.g. Johnson & Johnson) has been administered. Absent a qualifying exemption, all GRAIL US employees are to comply with this requirement, including providing documentation of such vaccination status, as a condition of employment. Anyone unable to be vaccinated, either because of a sincerely held religious belief or a medical condition or disability that prevents them from being vaccinated, can request a reasonable accommodation for consideration by GRAIL
IGM Bioinformatics Analyst I - Miller lab
Overview We are looking for a bioinformatics analyst to join our Research Group to study single-cell transcriptomics of various pediatric diseases. Our projects span multiple interest areas, including cancer biology, epilepsy, and cardiovascular research. We have multiple translational research protocols, from which we are actively generating single-cell RNA-sequencing data from patient... specimens. The ideal candidate will be expected to develop hypotheses in collaboration with the research team, perform analysis of existing data to test hypotheses, implement new analysis strategies on a project-specific basis, generate graphs and figures, share their findings with the research team, and assist in the preparation of manuscripts. Candidates should have prior experience working with single-cell RNA-seq datasets as well as proficiency in R. This is an exciting opportunity in a translational research setting, with opportunities to work on a diverse spectrum of projects which may have a direct impact on pediatric patient care. Excellent verbal and written communication skills will be essential as the individual will work collaboratively with bioinformaticians, biologists, research professors, and clinicians on projects that lead to publications and presentations at professional meetings. Why Nationwide Children's Hospital? The moment you walk through our doors, you feel it. When you meet our patient families, you believe it. And when you talk with anyone who works here, you want to be part of it. Welcome to Nationwide Children’s Hospital, Where Passion Meets Purpose. Here, Diversity, Equity and Inclusion are integrated into our core values and practices. We are passionate about building, sustaining and evolving an inclusive and equitable environment. We are seeking individuals who live these values and want to share their experiences and efforts in support of our collective mission. We’re 14,000 strong. And it takes every one of us to improve the lives of the kids we care for, and the kids around the world we’ll never meet. Kids who live healthier, fuller lives because of the knowledge we share. We know it takes a Collaborative Culture to deliver on our promise to provide the very best, innovative care and to foster new discoveries, made possible by the most groundbreaking research. Anywhere. Ask anyone with a Nationwide Children’s badge what they do for a living. They’ll tell you it’s More Than a Job. It’s a calling. It’s a chance to use and grow your talent to make an impact that truly matters. Because here, we exist simply to help children everywhere. Nationwide Children’s Hospital. A Place to Be Proud. Responsibilities • The Bioinformatics Analyst I will assist in all aspects of next-generation single cell RNA-sequencing analysis including data generation, analysis, interpretation, and publication. • An individual position in this position would run standardized genomic data analysis pipelines, mange data and prepare reports and figures for presentations and publications as well as deliver and explain analysis results to investigators. • This position will be responsible for evaluating and integration of community-developed bioinformatics tools as well as participating in the validation and deployment of in-house bioinformatics tools. • He or she should possess strong data processing and data quality control abilities, enjoy solving complex problems and possess a desire to make an impact in medical care through advancing our understanding of the role of the human genome in disease. • The ideal candidate will be expected to develop hypotheses in collaboration with the research team, perform analysis of existing data to test hypotheses, implement new analysis strategies on a project-specific basis, generate graphs and figures, share their findings with the research team, and assist in the preparation of manuscripts. • Candidates should have prior experience working with single-cell RNA-seq datasets as well as proficiency in R. Excellent verbal and written communication skills will be essential as the individual will work collaboratively with developers, scientists, and clinicians on projects that lead to publications and presentations at professional meetings. Qualifications • Bachelor’s degree in Genetics, Molecular Biology, Computational Biology, or related discipline • Strong computational understanding of genomic and/or transcriptomic data analysis • Working knowledge of bioinformatics software packages in R • Must be a team player with good communication skills and an attention to detail. The above list of duties is intended to describe the general nature and level of work performed by individuals assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the individual so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under his/her supervision. EOE M/F/Disability/Vet
Bioinformatics Scientist, BioPharma Collaborations
Company Description Guardant Health is a leading precision oncology company focused on helping conquer cancer globally through use of its proprietary blood 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 launched liquid biopsy-based Guardant360®, Guardant360 CDx and GuardantOMNI® tests for advanced stage cancer patients. These tests fuel development of its LUNAR program, which aims to address the needs of early stage cancer patients with neoadjuvant and adjuvant treatment selection, cancer survivors with surveillance, asymptomatic individuals eligible for cancer screening and individuals at a higher risk for developing cancer with early detection. 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 • 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. Covid Vaccination Policy: Starting January 7, 2022, Guardant Health will require all employees to be fully vaccinated to either (a) establish that they have been fully vaccinated against COVID-19; or (b) request and obtain an approved exemption from Guardant’s COVID-19 U.S. Vaccination Policy as a reasonable accommodation, as consistent with applicable laws. An employee is considered fully vaccinated against COVID-19 two weeks after receiving the second dose of a two-dose vaccine or one dose of a single-dose vaccination. Acceptable vaccines are approved or under emergency use authorization by the U.S. Food and Drug Administration (FDA) and/or the World Health Organization (WHO). In addition, fully-vaccinated employees will be required to maintain their fully-vaccinated status under this policy by obtaining, if applicable, any FDA-approved boosters. The US base salary range for this full-time position is $124,240 to $168,000 USD. 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 with the exception of any locations specifically referenced below (if any). Our salary ranges are determined by role, level, and location. 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/ #LI-CS1
The Molecular Profiling and Data Science Department is looking for an enthusiastic and motivated Computational Scientist who values independent research in an open and collaborative working environment. You will participate in original studies that span from basic research to translation studies, directly impacting the lives of patients. You will also have the opportunity to develop novel... computational methods from internal and external big data resources. You will join a diverse and inspiring team which cultivates discussion across scientists of differing backgrounds at the exciting intersection of function genomics, gene therapy, machine learning, and neuroscience. We work closely with biological researchers from different scientific functions, especially the departments of Neuroscience, Aging, VelociGene and Precision Medicine, to address critical scientific questions. As a Scientist, Bioinformatics, a typical day might include the following: • Discover therapeutic targets via innovative mining of single cell genomics, epigenomics, spatial transcriptomics and other omics data. • Develop and apply computational methodologies to analyze and integrate morphological, physiological and/or behavioral data with omics data to gain new biology insights. • Contribute to the application of gene interference strategies such as CRISPR-Cas9 and AAV for target discovery and therapy development. • Work in concert with pre-clinical and clinical teams to design next-generation sequencing and digital phenotyping experiments, draft data analysis plans, and provide critical analytics support. • Prepare presentations and documentations for collaborators and senior management. • Publish and present novel findings in peer-reviewed journals and conferences. This job might be for you if: • You are passionate about understanding and utilizing efficient computational techniques to address biological questions. • Bring innovative thinking to multi-modality data analysis. • Have a strong work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward within Regeneron. • Can effectively communicate with collaborators with various backgrounds. • Value teamwork and team excellence. To be considered for this role, you must have a PhD degree in Bioinformatics, Biomedical Engineering, Biophysics, Computational Biology, Chemical Engineering, Computer Science, or related quantitative field. Experience with conducting bioinformatics analysis (e.g. bulk and single cell RNA-Seq, spatial transcriptomics, genomic variation). Experience analyzing image, physiological and/or time-series data is a big plus. Experience in machine learning especially computer vision is highly preferred. Strong background (2+ years preferred) in at least in one of the following scripting languages: R, Python, MATLAB. Experienced in working in a Linux environment, shell scripting and Jupyter Notebook environment. Experience with public transcriptomics database such as Human Cell Atlas, Allen Brain Atlas, and GTEx is preferable. #LI-hybrid Does this sound like you? Apply now to take your first steps toward living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits including health and wellness programs, fitness centers and equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application process. Please contact us to discuss any accommodations you think you may need. The salary ranges provided are shown in accordance with U.S. law and apply to U.S. based positions, where the hired candidate will be located in the U.S. If you are outside the U.S, please speak with your recruiter about salaries and benefits in your location. Salary Range (annually) $103,600.00 - $169,000.00