Bioinformatics Jobs

At RefinedScience, our mission is to advance care by bringing together the best science, data and minds – disease by disease, patient by patient, cell by cell to discover pathways to life beyond disease. WHAT WE ARE LOOKING FOR We are seeking a highly motivated Bioinformatics Intern to join our team. This internship is ideal for graduate students (Master’s or Ph.D.) passionate about applying computational methods to solve complex biological and healthcare challenges. You will have the opportunity to contribute to projects involving genomics and single cell multiomics data, leveraging advanced analytics and machine learning to drive meaningful scientific insights. Our Bioinformatics team plays a crucial role in integrating computational biology, large-scale data analysis, and machine learning to drive discoveries in precision medicine, genomics, and drug development. POTENTIAL ACTIVITES • Analyze large-scale single cell multiomics datasets (CITE-seq) to generate insights into disease mechanisms. • Work on machine learning and statistical approaches to support biomarker discovery and precision medicine initiatives. • Develop and optimize bioinformatics workflows and pipelines for high-throughput data processing, quality control, and analysis. • Develop novel visualizations to support interactive exploration of high dimensional single cell multiomics datasets. • Collaborate with scientists, clinicians, and data scientists to design and execute data-driven research projects. • Present findings through technical reports, visualizations, and presentations to cross-functional teams. MUST HAVES • Master’s or Ph.D. candidate in Bioinformatics, Computational Biology, Genomics, Data Science, or a related field. • Experience using R or Python programming languages for computational biology research. • Experience analyzing high throughput sequencing data and single cell RNA-seq data. • Familiarity with processing and analyzing data within a cloud or HPC computing environment. • Basic understanding of cancer biology, genomics, or related relevant biological fields. • Demonstrated ability to conduct reproducible computational biology research, as evidenced by Github repositories and/or scientific publications. • Strong problem-solving skills and ability to communicate complex insights effectively. Duration: 8 – 10 Weeks (40 hours per week) Location: Remote or Hybrid. Candidate will be expected to travel to our headquarters (Aurora, CO) at least once during the internship. WHY YOU’LL LOVE REFINED SCIENCE Team + Values At RefinedScience, we seamlessly integrate top-tier clinical and biological data with expert knowledge to provide unparalleled insights. We maximize patient impact with these unique insights by optimizing clinical trial probability of success and time to actionable results. We work across biopharma and we are a trusted partner in achieving better results, faster – working together to unlock strategic advantage. Our Values • Act with Purpose – We believe in rigor through deliberate and thoughtful actions • Be Curious – Curiosity is the spark that ignites innovation and growth • Take Ownership – True ownership leads to pride and commitment in the work we do • Invest in Relationships – Building strong connections is the foundation for effective collaboration and trust for long term success • Embrace Agility – We celebrate agile thinking, resilience, and adaptability Compensation • $34-$38 per hour

Our client is revolutionizing forensic investigations by integrating advanced lab science, innovative software, and optimized processes. Their proprietary technology helps law enforcement agencies worldwide solve complex DNA cases, with more successful forensic genetic genealogy outcomes than any other method. As a Software Engineer (Bioinformatics), you will develop and optimize software for this leading forensic DNA analysis platform. Combining web development, system programming, and algorithm design, you’ll create high-performance tools that streamline DNA workflows and enhance forensic capabilities, collaborating with scientists, developers, and law enforcement to ensure accuracy and scalability. Responsibilities: • Develop Web Applications: Build user-friendly interfaces and secure back-end systems using Java, Python, and modern web technologies. • Automate and Integrate Workflows: Develop tools for evidence data management and automate DNA analysis workflows. • Optimize Scalability and Performance: Design scalable cloud-based systems and optimize applications for large data processing. • Build Algorithms: Develop algorithms to analyze DNA data and enhance forensic capabilities. • Collaborate: Work with scientists and law enforcement to integrate tools and improve systems. • Innovate and Improve: Continuously enhance data processing pipelines and optimize performance. Requirements: • Strong foundation in C++ or other low-level languages. • Experience with bioinformatics workflows, particularly metagenomic sequencing. • Ability to work at the intersection of biology and technology. • Self-starter with problem-solving and innovation skills. • Experience with scalable systems and automation frameworks. Preferred Qualifications: • Experience designing and delivering large-scale projects. • Proficiency in C++, Python, or Java, with performance optimization experience. • Experience working with cross-functional teams in dynamic environments. • Proficiency with bioinformatics tools like SAMtools and Next-Generation Sequencing (NGS).

The Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Provides bioinformatics analysis for investigators and communicates analytical process and results. The Center for Applied Bioinformatics (CAB) at St. Jude Children's Research Hospital is seeking a highly motivated Senior Bioinformatics Research Scientist to join the Transcriptomics Group. CAB is an institutional shared resource dedicated to providing state-of-the-art bioinformatics services to St. Jude investigators. Our Center collaborates with lab scientists and physician-scientists at multiple stages of their research, from study design, data analysis to preparation for presentations, grant proposals, and co-authoring manuscripts. We uphold the highest level of scientific rigor by carefully vetting and documenting all bioinformatics methods and pipelines. The successful candidate will develop and apply innovative analytical approaches to analyze & interpret new and existing multi-omic datasets obtained from both clinical and basic research lab, including bulk tumor/normal, single-cell/nucleus, and spatial-omic profiles. These analyses will contribute to understanding the underlying mechanisms driving pediatric cancers and other human diseases. The candidate will work closely with other bioinformatics personnel within CAB, playing an integral role in exciting research partnerships both within St. Jude and with external collaborators. He/she will contribute to establish the pipelines and best practice to characterize bulk or single cell RNA isoforms and noncoding RNA transcripts with long read sequencing technologies. He/she follows and adheres to best practices in structured transparent project management by tracking progress, identifying roadblocks, and proposing solutions, developing specific milestones for each research goal, and providing informative progress reports and summaries to principal investigators. The Center provides a highly interactive environment with collaborative opportunities across basic and clinical departments. You'll have access to high performance computing clusters, cloud computing environments, innovative visualization tools, highly automated analytical pipelines, and mentorship from experienced scientists. Members of this Center have the opportunities to publish high profile papers with prominent authorship depending on their intellectual contributions. The ideal candidate should have: · A PhD and extensive post-PhD experience in bioinformatics, computational biology, and data science. · A strong CV that includes high-profile publications in the field of computational biology, cancer genomics, and/or single-cell genomics. · Experience analyzing some/all the following platforms: whole-genome/exome sequencing, RNA-seq. ATAC-seq, ChIP-seq/CUT&RUN, single-cell/nucleus RNA-seq, CITE-seq, single cell multiome (ATAC+GEX), spatial transcriptomics, and long-read sequencing (e.g., PacBio and Oxford Nanopore) · Proficiency in relevant programming languages such as R and Python, preferably in a High-Performance Computing (HPC) environment. · Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow), and version control (e.g., git). · Proficiency in tool development, including examples documented in public repositories. · Extensive expertise in data integration and harmonization. · Proven problem-solving skills and collaborative nature in fast-paced environment. · Excellent communication and presentation skills. Job Responsibilities: • Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data. • Deliver data files, and document the analytical process. May participate in manuscript preparation at project's conclusion. • Assist with establishing and documenting protocols or best practices for common research tasks, and in the formulation of analytical plans that use the best approach to address challenging data analysis questions. • Assist in the evaluation and testing of new methods and technologies. • Contribute ideas to automate or improve existing analysis methods. Implement the improvement or work with others to do so. • Participate in the department's developmental projects and interdepartmental team projects. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 7+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience. • Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $86,320 - $154,960 per year for the role of Bioinformatics Research Scientist. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

Overview A postdoctoral fellow position is immediately available in the laboratory of Dr. Wei Zhang, Professor in Cancer Biology and Director of Cancer Genomics and Precision Medicine at the NCI designated Atrium Health Wake Forest Baptist Comprehensive Cancer Center. Qualified candidates should have training in bioinformatics analyses to support the expanding emphasis on projects focused on elucidating the relationship of treatment responses, particularly immunotherapy, and the genomic landscape of patient tumors. A doctoral degree is required in related areas: bioinformatics, genomics, genetics, computational biology, biomedical informatics, computer science, medicine, biostatistics, or related disciplines. Please send a cover letter and CV to Dr. Wei Zhang, wezhang@wakehealth.edu.

1.0 FTE Full time Day - 08 Hour R2546716 Hybrid 107520006 Path Lab Molecular Path Hillview Allied Health PALO ALTO, 3375 Hillview Ave, California If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered. Day - 08 Hour (United States of America) This is a Stanford Health Care job. A Brief Overview The Bioinformatic Staff Scientist will be responsible for developing and maintaining Next Generation Sequencing data analysis workflows for use in a molecular genetic testing setting. This includes algorithms development as well as pipeline design. They will participate in development and implementation of bioinformatics tools for test development and validation, joining a team that develops leading-edge genomic assays and analysis tools that directly impact patient care. Locations Stanford Health Care What you will do • Develop, document and deploy novel clinical sequencing analysis approaches meeting CLIA and CAP guidelines for clinical NGS analysis • Develop, document and deploy in-house web-applications and databases for clinical genomics data storage, analysis and visualization • Enhance, maintain, and support established sequencing pipelines and workflows meeting CLIA and CAP guidelines for clinical NGS analysis • Develop, implement and maintain tools and workflows for system administration and data management • Collaborate with technical and medical teams in specifying requirements for tools to enhance workflow efficiency, turnaround times and robustness • Summarize results in written or oral reports for computational biologists, molecular biologists, clinicians, and internal researchers • Contribute to publishing of relevant findings in scientific journals Education Qualifications • Graduate Degree (Ph.D./M.S,) in bioinformatics, genetics and genomics, computer science or other work-related field/discipline from an accredited college or university Experience Qualifications • Ph.D. with no experience, or M.S. plus 3 years of experience developing pipelines and algorithms for computational biology, genomics, and/or clinical diagnostics preferred Required Knowledge, Skills and Abilities • Knowledge of algorithmic techniques common to bioinformatics (e.g., dynamic programming and graph algorithms), machine learning and statistical analysis methods (e.g., Bayesian inference, Hidden Markov Models, Principal Component Analysis) • Proficient in Python, competent in C++, Java, SQL, and R • Demonstrated experience in software development for bioinformatics applications • Experience with SQL and relational database design • Comfortable with Bash scripting and working in UNIX/Linux environments • Ability to produce readable, maintainable and well documented code • Experience with version control and source code management systems (e.g. Git) • Detail oriented mindset for working on applications that directly impact patient care • Ability to collaborate and communicate with other bioinformaticians, researchers and medical staff • Excellent problem-solving skills for common problems in bioinformatics • Familiarity with system administration and IT operations • Strong team-oriented work ethic with open, honest, and considerate communication skills Preferred Knowledge, Skills and Abilities • Molecular Pathology • Expertise in cancer genomics and NGS technologies including somatic variant calling • Familiarity with standard genomics/bioinformatics tools (e.g. Samtools, BWA, IGV) • Good understanding of human molecular genetics • Experience analyzing genomic sequencing data from Illumina platforms • Experience developing web-applications with Python and Django • Clinical Genomics • Cloud-based computation environment • Familiarity with workflow language, such as WDL • Familiarity with NGS and best practices for germline sequencing data analysis • Expertise in bioinformatics tools for alignment, variation calling and annotation such as DRAGEN, BLAST, BWA, GATK, samtools, bedtools, vcftools, IGV, UCSC genome browser, etc • Experience in public annotation databases such as ClinGen, ClinVar, HGMD, HGNC, OMIM, gnomAD, CADD, UniProt, RefSeq, and DGV Licenses and Certifications • None . These principles apply to ALL employees: SHC Commitment to Providing an Exceptional Patient & Family Experience Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford’s patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery. You will do this by executing against our three experience pillars, from the patient and family’s perspective: • Know Me: Anticipate my needs and status to deliver effective care • Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health • Coordinate for Me: Own the complexity of my care through coordination Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements. Base Pay Scale: Generally starting at $51.15 - $67.78 per hour The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.

The Center for Vaccine Development and Global Health (CVD) at the University of Maryland School of Medicine (UMSOM) seeks applications for a faculty member with expertise in systems/computational biology and/or bioinformatics and demonstrated knowledge of the application of multiple omics-based approaches to immunology, bacterial, parasitic, and viral genomics, infectious diseases, microbiomes, or other research topics relevant to CVD. Expected faculty rank for this position will be Assistant Professor or higher, however, final rank, tenure status and salary will be commensurate with selected candidate’s qualifications and experience. As a comprehensive research center withing the UMSOM, the multidisciplinary team at CVD collaborates closely on innovative, high impact research to advance science and improve health globally. CVD has 32 faculty members with access to rich data sets, the latest genomics technologies (including PacBio, Illumina and Oxford Nanopore sequencing platform, as well as single cells and spatial transcriptomics), and a state-of-the-art computational grid and storage systems. We enjoy close collaborations with the UM College Park Center for Bioinformatics and Computational Biology and provide opportunities to collaborate with the newly formed Institute for Health Computing at the UMSOM. The close relationship with the University of Maryland Medical Center offers further opportunities for the development of rich collaborative and integrative clinical research. The expected salary range for Assistant Professors is $107,260 (min) and $176,178 (max). The referenced salary range reflects base pay, which is based on faculty rank and years in rank. This salary range does not include all components of the departmental faculty compensation program or pay from participation in departmental variable compensation programs. Therefore, the actual compensation paid to the selected candidate may vary from the salary range stated herein. For more information, please contact the hiring department. The referenced salary range represents the minimum and maximum salaries for this position and is based on the University of Maryland School of Medicine’s good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University. UMB offers a comprehensive benefits package that prioritizes wellness, work/life balance, and professional development. This position participates in a retirement program that must be selected and is effective on your date of hire. Faculty receive a generous leave package that includes over 4 weeks of vacation accrued each year, paid holidays, personal leave, unlimited accrual of sick time, and comprehensive health insurance; professional learning and development programs; tuition remission for employees and their dependents at any University System of Maryland school. You are also invited to view the Department of Medicine benefits for full-time faculty members. Qualifications : The desired candidate will have a PhD in computational biology, bioinformatics, computer science, or related discipline with a demonstrated ability to analyze and integrate biological systems data using statistical and machine learning or other data science approaches. They will be expected to contribute to ongoing research projects within CVD and participate in trainee mentoring and international capacity building. Ideally, the candidate will develop an independent research program that aligns with the CVD mission supported by federal and non-federal funding sources. Individuals with research experience in academia, industry and government will be considered. For immediate consideration, please send a cover letter and current CV, as well as contact information of three references. Though not required, candidates are also invited to include a perspective statement on equity, diversity, inclusion, and civility. About CVD. CVD conducts multi-disciplinary, innovative vaccine and infectious diseases research to improve the lives of people globally. We strive to safeguard health and advance equity by defeating infectious diseases, with a focus on the most vulnerable populations. CVD works to prevent and treat enteric and respiratory diseases, to reduce the threat of malaria and antimicrobial resistance, and to identify, understand and combat other tropical and emerging pathogens in impoverished settings. CVD is a leading research center for influenza & respiratory diseases supported by NIH-funded with a Collaborative Influenza Vaccine Innovation Centers (CIVICs) Clinical Core and Vaccine and Treatment Evaluation Units (VTEU) programs. We are also internationally known and well-funded for our collaborative malaria, enteric vaccine and child health research programs which provide rich datasets and the opportunity to work with investigators around the globe. Training is a critical component of the Center’s work, as is CVD’s commitment to providing the foundation for the next generation of vaccinologists and global health leaders. About UMSOM. Now in its third century, the University of Maryland School of Medicine was chartered in 1807 as the first public medical school in the United States. It continues today as one of the fastest growing, top-tier biomedical research enterprises in the world -- with 46 academic departments, centers, institutes, and programs, and a faculty of more than 3,000 physicians, scientists, and allied health professionals, including members of the National Academy of Medicine and the National Academy of Sciences, and a distinguished two-time winner of the Albert E. Lasker Award in Medical Research. With an operating budget of more than $1.3 billion, the School of Medicine works closely in partnership with the University of Maryland Medical Center and Medical System to provide research-intensive, academic and clinically based care for nearly 2 million patients each year. The School of Medicine has nearly $600 million in extramural funding, with most of its academic departments highly ranked among all medical schools in the nation in research funding. As one of the seven professional schools that make up the University of Maryland, Baltimore campus, the School of Medicine has a total population of nearly 9,000 faculty and staff, including 2,500 students, trainees, residents, and fellows. The combined School of Medicine and Medical System (“University of Maryland Medicine”) has an annual budget of over $6 billion and an economic impact of nearly $20 billion on the state and local community. The School of Medicine, which ranks as the 8th highest among public medical schools in research productivity (according to the Association of American Medical Colleges profile) is an innovator in translational medicine, with 606 active patents and 52 start-up companies. In the latest U.S. News & World Report ranking of the Best Medical Schools, published in 2021, the UM School of Medicine is ranked #9 among the 92 public medical schools in the U.S., and in the top 15 percent (#27) of all 192 public and private U.S. medical schools. The School of Medicine works locally, nationally, and globally, with research and treatment facilities in 36 countries around the world. Visit medschool.umaryland.edu The University of Maryland, Baltimore and the University of Maryland School of Medicine are equal opportunity/affirmative action employers. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy. We value diversity and how it enriches our academic and scientific community and strive toward cultivating an inclusive environment that supports all employees. If you need a reasonable accommodation for a disability, for any part of the recruitment process, please contact us at HRJobs@umaryland.edu and let us know the nature of your request and your contact information. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity. Under the supervision of co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler, you will play a crucial role in shaping the future of personalized exercise science and public health. Dr. Euan Ashley's research interests focus on the application of genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Matthew Wheeler's research centers on the integration of large-scale molecular and clinical data to understand the genetic basis of cardiovascular diseases and to develop novel therapeutic strategies. By joining our team, your proficiency in applying advanced statistical methodologies, such as multivariate analysis, machine learning, and Bayesian approaches, will be essential for uncovering novel insights and driving innovation in our research efforts. Your strong statistical background and expertise in analyzing large biological datasets. experience in handling diverse omics data will contribute significantly to our understanding of complex biological systems and the development of personalized medicine. You will also contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within MoTrPAC. This innovative project integrates large volumes of clinical and densely time-sampled molecular data, pushing the boundaries of biomedical data analytics. Our portal (https://motrpac-data.org) will push the boundaries of biomedical data analytics to provide insight into the basic and translational science of exercise. Working alongside our multidisciplinary team, you will be at the forefront of understanding how physical activity preserves and improves health, ultimately making a lasting impact on human well-being. To find out more about our studies, you can check our recent publication in Nature and other journals about the endurance exercise training in rats (visit https://motrpac-data.org/publications). To be considered, please submit a resume and a cover letter that describes your interest in this position, and what skills you would bring to this role. Responsibilities: As a Bioinformatics Engineer II, you will contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within the MoTrPAC project. Your primary responsibilities will include: • Collaborate with a multidisciplinary team of scientists and engineers to analyze and interpret large-scale multi-omics data. • Develop and implement innovative bioinformatics tools and methods to further our understanding of molecular mechanisms underlying the effects of physical activity. • Prepare reports and presentations to communicate findings with the team and the larger scientific community. Qualifications: To be successful in this role, you should possess an advanced degree (Ph.D. or M.S.) in a field such as statistics, biomedical informatics, engineering, or computer science along with a minimum of two years of relevant professional experience. They should have expertise in the analysis, execution, and development of pipelines and bioinformatic tools for various omics data and be proficient in programming languages like R and/or Python, as well as Linux bash scripting. Familiarity with pipeline languages, container systems, code management platforms, and systems biology approaches for data integration is also essential. Candidates should demonstrate experience in large-scale data analysis (with emphasis on genomics, transcriptomics, epigenomics datasets), biological domain knowledge, bioinformatics, and software development team-based projects. Additionally, they should be willing to work in a highly collaborative environment, be able to adapt quickly, possess strong communication skills, and have the capacity to work independently. Due to extensive teamwork needed, this is a mostly on-site position. Why Join Us? • Work on a highly exciting and innovative multi-omics project with the potential to revolutionize our understanding of physical activity and health. • Be part of a world-class research team at Stanford University, led by Dr. Euan Ashley, a pioneer in personalized medicine. • Contribute to groundbreaking research with a significant impact on public health and the prevention of diseases. • Enjoy a collaborative and stimulating work environment at one of the top universities in the world. If you are a passionate and dedicated professional with the required qualifications and a strong interest in advancing scientific research, we encourage you to apply for this exciting opportunity. Join us in unraveling the mysteries of physical activity and making a lasting impact on human health. A complete application will include a cover letter. Duties include: • Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. • Determine additional data collection and reporting requirements. • Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. • Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. • Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. • Serve as a resource for non-routine inquiries such as requests for statistics or surveys. • Test prototype software and participate in approval and release process for new software. • Provide documentation based on audit and reporting criteria to investigators and research staff. DESIRED QUALIFICATIONS: • Graduate degree (MS, PhD) emphasizing statistics, biomedical informatics, engineering, and computer science are preferred. • Domain expertise in analysis and running pipelines and bioinformatic tools for at least one of the following ‘omes: genomics, transcriptomics, epigenomics (ATAC-seq, RRBS). Knowledge of metabolomics and proteomics analysis is a plus. • Experience in systems biology approaches for data integration. • Proficiency in Python and/or R and Linux bash scripting. • Experience and knowledge of code management such as GitHub. • Experience with pipeline languages such as WDL, snakemake, and/or nextflow. • Proven track record of working with data and infrastructure in an HPC (High-Performance Computing) cluster or cloud computing environments like Google Cloud Platform, AWS, or Azure. • Experience with container systems such as setting up virtual machines and docker instances. • Experience in developing tools and statistical methods for large-scale data analysis is a plus. • Biological domain knowledge (exercise science is a plus). EDUCATION & EXPERIENCE (REQUIRED): • Bachelor's degree and three years of relevant experience or combination of education and relevant experience. • Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Substantial experience with MS Office and analytical programs. • Excellent writing and analytical skills. • Ability to prioritize workload. CERTIFICATIONS & LICENSES: • None PHYSICAL REQUIREMENTS*: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. WORKING CONDITIONS: • Some work may be performed in a laboratory or field setting. WORKING STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/. The expected pay range for this position is $104,358 to $128,038 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. • A caring culture. We provide superb retirement plans, generous time-off, and family care resources. • A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. • Discovery and fun. Stroll through historic sculptures, trails, and museums. • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Look for more than answers. As a Bioinformatics Engineer, you will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. This position is in our Bioinformatics Solutions Engineering group, part of the Research and Development organization, in Molecular Genomics & Oncology unit. The team supports genetic/genomic testing in a highly regulated CAP/CLIA laboratory environment primarily using short and long-read sequencing as the basis of evidence. The right candidate will know how to balance innovation, standards, and quality with a practical understanding of when each is appropriate. The Bioinformatics Solutions Engineering group is a cross-functional unit focusing on end-to-end design, develop, document, validation and launching of new high quality diagnostic tests and services for the benefit our patients. This person can work 100% remote and must be located in the US. • Develop, validate, and implement new software applications, databases, processes, and interfaces relating to next-generation sequencing (NGS) data analysis, advanced diagnostic testing development and validation, data quality review, and clinical reporting. • Serve as SME on specific systems/workflows supporting advanced development and high-tier production support. • Participate in resolution of support requests. Regularly report progress and prepare data analyses for internal review • Prepare reports and other communications of technical activities related to business objectives such as product/process development and improvement. • Activities may be focused individual projects or, more usually, assignments as a member of a project team, often working closely with other Software Developers, R&D bench scientists, Genetic Counselors, Operations Scientists, and other technical business partners. 3+ years of experience with a Bachelor's degree or 1+ year with a Master's degree and experience in an industrial or academic setting working with clinical and biological data or equivalent and underlying technologies including bioinformatic methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools. Preferred Work Experience / Skills: • Bioinformatics tools such as Dragen, bwa, VEP, FastQC, MultiQC, samtools, bedtools • Experience with sequencing data analysis, bioinformatics, variant data analysis • Pipeline workflow management languages: Nextflow (preferred), Cromwell, CWL, etc. • Database: SQL (e.g., postgress, MySQL), understanding of NoSQL databases • Cloud Computing: AWS • Infrastructure management: Terraform, AWS CDK • Programming Languages: Advanced level with interpreted/scripting languages such as Python, javascript/typescript, R, etc. • Containerizing: Docker • Experience with designing and working with application programming interfaces (e.g. JSON based RESTful APIs) • Web Frameworks: Python Flask, React Native, Bootstrap • Reporting: Familiarity with R Markdown, Jupyter Notebook • Visualization: Experience with any of ggplot2/tidyverse, Plotly, matplot lib, Tableau, d3.js • Source Control: Git • CI/CD: Gitlab CI/CD, Github CI/CD • Understanding of environment management • Experience of working in clinical diagnostics setting (regulations, controlled processes, environment management) is a plus. Education: Bachelor’s Degree(Required) Master’s Degree Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets

The US Air Force School of Aerospace Medicine (USAFSAM) has a bioinformatics fellowship opportunity open to those who have obtained a master's degree in the field of Biological Sciences, Public Health, Biocomputing, or similar field. What will I be doing? As an Oak Ridge Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers in an effort to further the fellow’s knowledge of infectious disease surveillance, wastewater surveillance, genomic sequencing, and data collection, management and visualization. The purpose of this training fellowship is to provide an educational experience to individuals interested in the fields of public health, infectious disease, epidemiology, and surveillance. The fellow will gain insight into how to communicate data and findings from a surveillance network to decision-makers, other researchers, and the public. Fellows will train within the United States Air Force School of Aerospace Medicine’s Applied Technology and Genomics division and can expect to gain valuable experiences in bioinformatics, high performance computing, and infectious disease surveillance. The fellow will also participate in activities related to database cleaning, data analysis, data visualization, and interpretation of results. The fellow may also have opportunities to develop manuscripts and/or posters or oral presentations for academic conferences. Why should I apply? Under the guidance of a mentor, you will gain hands-on experience to support your academic and professional goals. Along the way, you will engage in activities and research in several areas. These include, but are not limited to: • Analyze large-scale data and summarize findings using statistical software • Develop analysis pipelines and workflows utilizing available platforms • Perform data analysis and develop visualizations using public and in-house tools and dashboards • Collaboration and participation in meetings • Be involved with verbal and written presentations of studies at scientific conferences • Preparation of literature searches, scientific manuscripts, posters, presentations, and other information Where will I be located? The location of this appointment may vary. What is the anticipated start date? Exact start dates will be determined at the time of selection and in coordination with the selected candidate. Applications are reviewed on an ongoing basis and internships will be filled as qualified candidates are identified. What is the appointment length? This appointment is a twelve-month research appointment at a full-time level of participation. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant. What are the appointment provisions? You will receive a stipend to be determined by USAFSAM. Stipends are typically based on a participant’s academic standing, discipline, experience, and research facility location. Other provisions may include the following: • Health Insurance Supplement (Participants are eligible to purchase health insurance through ORISE) • Relocation Allowance • Training and Travel Allowance About USAFSAM The 711th Human Performance Wing’s U.S. Air Force School of Aerospace Medicine (USAFSAM) was established in 1918 and is the premier institute for education and worldwide operational consultation in Aerospace and Operational Medicine. USAFSAM has been a leader in the field of aerospace medicine and human performance from the beginnings of aviation through the onset of the space age and into the present, and is the oldest continually operating institution of its kind. It is also host to the largest aeromedical library in the world. By joining forces with the Air Force and Navy Research Laboratories, USAFSAM fully leverages aeromedical, science, and technology to optimize performance, health, and survival of healthy humans in abnormal or extreme environments, including combat, air, space, and cyberspace. The Applied Technology and Genomics (PHT) Division is a Biosafety Level-2 laboratory, and the only research genetics laboratory in the USAF that can support several projects focusing on: bacterial/viral culture, DNA/RNA extraction, PCR amplification, DNA printing (primers/probes/synthetic constructs), next-generation sequencing, microscopy, analysis of genetic code, and secured storage of genetic code. About ORISE This program, administered by Oak Ridge Associated Universities (ORAU) through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and DoD. Participants do not enter into an employee/employer relationship with ORISE, ORAU, DoD or any other office or agency. Instead, you will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment. Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE. For more information, visit the ORISE Research Participation Program at the U.S. Department of Defense.

The EPA National Student Services Contract has an immediate opening for a full-time Bioinformatic Assistant with the Office of Research and Development at the EPA facility in Raleigh, NC. The Office of Research and Development at the EPA supports high-quality research to improve the scientific basis for decisions on national environmental issues and help EPA achieve its environmental goals. Research is conducted in a broad range of environmental areas by scientists in EPA laboratories and at universities across the country. What the EPA project is about ORD bioinformatic research serves to provide, among other functions, a bioanalytical and computational infrastructure to facilitate research on a variety of research topics. Current scientific projects range from (1) large genomic and transcriptomic dataset integration and analysis; (2) database and front-end development efforts; (3) nanoinformatics and nano-curation efforts (4) QA/QC practices for data transfer, code sharing and backup; (4) semantic mapping of biological information to address Agency questions. ORD bioinformatic research seeks to develop an integrated framework across health end points through the identification of toxicological pathways. This approach is accomplished by the use of computational and molecular approaches to characterize "key events" for biologically based models, the association of molecular key events with chemical, disease and, pathway, and the application of genetic and epigenetic approaches for understanding differential susceptibility. What experience and skills will you gain? Investigators across the Agency are involved in diverse areas of research, including systems biology, a variety of ‘omics’ disciplines, as well as database development and data curation. You will have the opportunity to be a member of a multi-disciplinary research team and work with computational biologists, EMVL contractors, and other members of ORD’s software development and informatics teams to support research efforts. In addition to scientific projects, you will be conducting work with the National Computing Center (NCC) Linux/Unix Staff to support the efficient and reliable operation of the organization’s computational cluster, platforms, storage and the associated operations and support tools. Required Knowledge, Skills, Work Experience, and Education • Experience programming in at least one modern general-purpose programming language such as Perl, Python, C++, R, or Java; • Experience programing in SQL or related structured query languages; • Experience with semantic web, ontology mapping, and structured query languages, such as RDF and sparql; • Experience in computational manipulation and analysis of diverse datatypes, such as genomic, proteomic, transcriptomic ; • Coursework or equivalent work experience with, and front-end development; • Strong written, oral and electronic communication skills; • Proficiency with Microsoft Office applications (i.e., Excel, PowerPoint, Word, Outlook); • Experience with Unix or Linux operating system; and • Experience with cloud computing services. How you will apply your skills Application and Programming responsibilities • Working knowledge of emerging computational and semantic technologies and best practices; • Maintaining existing code and scripts that may or may not access databases; • Developing code or modifying existing code for quality assurance in data transfer and analysis diverse data types; • Updating analysis software and standard procedures for server and database access, ticketing systems for software development tasks; • Creating and maintaining web components using the Node.JS web framework; • Participating in Agile (Scrum) software development; and • Participating in team code reviews, maintaining records of meetings, correspondence, and action documents, and maintain a system to track projects in progress. Communications-related responsibilities • Participating as a member of a multi-disciplinary research team; • Interacting with other members of the Bioinformatics team as well as NCC and other EPA scientists; • Translating complex computational concepts in ways that can be understood by those with varying levels of relevant technical knowledge; • Assisting with IT project execution; and • Presenting work performed in the course of their EPA student contractor service as a poster or presentation at a scientific conference or other forum. Location: This job will be located at EPA’s facility in Raleigh, NC. Hours: Full time. Salary: Hourly wage for hours worked at a rate of $21.59 per hour. Employer: Selected applicant will become a temporary employee of ORAU working as a contractor at EPA. Travel: Occasional overnight travel may be required. Working Conditions: The selected candidate will be supervised by a mentor who will provide day-to-day direction, as well as coach, advise and counsel the candidate, and review the candidate’s work. This position will involve work in an administrative setting and is not expected to involve exposure to hazardous elements. Expected Start Date: The position is full-time and expected to begin in March 2020. The initial project is through May 14, 2020 with potential optional periods. For more information, contact EPAjobs@orau.org. Do not contact EPA directly.