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

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.

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 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.

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.

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

Integrated DNA Technologies (IDT) is the leading manufacturer of custom oligonucleotides and proprietary technologies for genomics applications. Our work is complex and cutting-edge, and our team members are curious, creative thinkers who understand that good data drives smart decisions. At IDT, we realize that although science may be uniform, people are unique. We promote a culture where engaged people are motivated and have opportunities to achieve their full potential, as part of one global team. IDT is one of 10 Life Sciences companies of Danaher. Together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health. This position is part of the Business Unit organization located in the U.S and will be on site at one of our locations in Coralville, IA or Boulder, CO. At IDT, we are one global team. We celebrate our differences, engage in healthy debate, and are inclusive. Together, we accomplish great things In this role, you will have the opportunity to: • Develops and maintains pipelines for functional genomics applications. • Provides data analysis support for product development and external collaborations • Works closely with both internal and external R&D scientists to support their research activities and support large commercial opportunities. • Participates in brainstorming sessions and contributes ideas in technology, algorithms, and products • Introduce new techniques into the research group which have not previously been used at IDT. The essential requirements of the job include: • Bachelor’s degree in Biology, Computer Science, Mathematics, Statistics or a related field with 2+ years relevant work experience required • Previous experience in NGS required • Ability to design and perform experiments with minimal to moderate supervision required • Programming and data analysis experience in a Linux/Unix environment required • Familiarity with Python or other scripting languages It would be a plus if you also possess previous experience in: • Master’s degree OR PhD (in Bioinformatics, Biostatistics, Computer Science, Applied Mathematics or a related field) • Knowledge of synthetic biology (e.g. cloning) and protein engineering workflows preferred The salary range for this role is $85,000 - $110,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. This job is also eligible for bonus/incentive pay. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com. Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. The EEO posters are available here. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at applyassistance@danaher.com to request accommodation.

Purpose: The Genome Bioinformatics Analyst works independently to curate disease, gene and variant knowledge including variant interpretation, reporting and consultation with laboratory staff, physicians and genetic counselors. The analyst participates in clinical test development, validation and maintenance of data analysis pipelines, monitoring of quality metrics and the analysis of large datasets. This position is ideal for a post-doctoral candidate, who is interested in a career in clinical genomics and molecular diagnostics. Responsibilities: • Designs and executes clinical validation studies to assess diagnostic test performance. • Curates disease, gene, and variant knowledge. Helps implement curated knowledge, resources, and workflows into clinical operations. • Participates in developmental and clinical research projects, as needed. • Maintains SOP documentation of NGS bioinformatics pipeline. • In consultation with laboratory staff, physicians and genetic counselors, participates in the review of patient results and develops interpretations for clinical reports. • Participates in clinical test development as needed. Evaluates novel platforms and techniques in DNA sequencing, genotyping, and copy-number variation in order to assess suitability for diagnostic application. • Maintains data analysis pipelines, monitors quality metrics and analyzes data sets.

Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed. Benefits Highlights • Medical: Multiple plan options. • Dental: Delta Dental or reimbursement account for flexible coverage. • Vision: Affordable plan with national network. • Pre-Tax Savings: HSA and FSAs for eligible expenses. • Retirement: Competitive retirement package to secure your future. Responsibilities A Research Fellow opportunity is available under the mentorship of Dr. Arjun Athreya in the Department of Molecular Pharmacology and Experimental Therapeutics. The successful candidate will work in bioinformatics research in a multi-omic integration program. Applicants who apply should have a strong background in bioinformatics skills, as well as excellent verbal and written skills. A Research Fellow in Bioinformatics/Biostatistics (BST) will have a primary focus in developing software and research techniques and/or tools to analyze and then aid in understanding biological data. Responsibilities and skills required involve computer programming, calculating statistics related to biological information, and mathematics. A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants. Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors, Specialists, and Student Interns sponsored by Mayo Clinic. To learn more about the exciting research being done on Mayo Clinic’s campuses, please visit Research at Mayo Clinic - Mayo Clinic Research. Applicants may search for research postdoc opportunities here: jobs.mayoclinic.org/post-doctoral-jobs. Qualifications Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program. Research Fellow is appropriate for individuals who have completed no more than one prior postdoctoral fellowship, at Mayo Clinic or elsewhere. Exemption Status Exempt Compensation Detail $68,564 - $80,210 / year; Education, experience and tenure may be considered along with internal equity when job offers are extended. Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Affirmative Action and Equal Opportunity Employer As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available. Recruiter Kara Schott

Help us change lives At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others. Position Overview The Bioinformatics Scientist II, with limited guidance from more experienced scientists, works individually and in collaboration with computational and experimental scientists on multiple projects which are moderate to complex in scope. The Bioinformatics Scientist II plays an active role or leads in the planning of projects and analyses and is often the bioinformatics lead responsible for the successful execution of the project. This position involves independently making detailed observations, analyzing data, interpreting results, and providing insights into the next steps of the project. Working in a team setting, the Bioinformatics Scientist II will primarily be involved in in Research projects serving as a technical lead in evaluating research ideas and concepts in their feasibility towards development of diagnostic assay products. Essential Duties Include, but are not limited to, the following: Conduct analyses within several product or technology areas and identify problems and discrepancies. Independently plan and analyze results of bench level experiments within several product or technology areas. Analyze research/experimental data, interpret the results, and provide insights into the next steps. Manage bench-generated data and bioinformatics outputs within high performance computing (HPC) or cloud computing environment. Utilize and apply methods or technologies effectively and provide ideas for new techniques, when appropriate. Maintain knowledge of technological industry developments that could assist in completion of an assignment or aid in the development of new processes or procedures. Provide technical input and participate in decisions affecting project planning and experimental design. Prepare and provide information and data for scientific abstracts/conferences/project meetings/publication. Generate, document, and communicate development plans for critical aspects of a project. Develop research plans and experimental outlines to write experimental protocols and perform laboratory experiments. Prepare detailed technical procedures, protocols, and reports. Evaluate impact of nonconforming data to product or process. Identify and address trends in study data. Prepare and approve written reports. Lead identification of areas for process improvements. Maintain lab notebook in a clear, complete, and consistent manner, following all legal, ISO, and QSR requirements. Prepare reports and documentation providing the analysis or summarization of results, outcomes and next steps to supervisor, technical teams/groups, or project teams. Present experimental results and defend scientific ideas and findings at data meetings, group meetings, project team meetings, and/or departmental meetings, lead meetings as subject matter expert. Demonstrate technical proficiency and knowledge, scientific creativity, collaboration with others, and independent thought and ability to provide insights and defend scientific ideas. Work on problems of diverse and complex in scope in which analysis of data requires in-depth evaluation of identifiable factors. Exercise judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining solutions. Work on individual assignments and with project team members as appropriate to meet department and project objectives. Work within project timeframes with successful outcomes on multiple projects and key responsibilities. Act as bioinformatics leader for one or more projects that are moderate to complex in scope. Act as subject matter expert in core team and/or cross-functional meetings. Exercise discretion and independent judgement within broadly defined practices and policies in: selecting methods, techniques and evaluation criteria for obtaining and interpreting results; analyzing data and presenting findings in a professional and knowledgeable manner. Promote an open, collaborative environment built on trust to foster positive teamwork. Assist in planning and recommendation of activities that account for prioritization of organizational and department goals. Ability to train and mentor research associates. Ability to organize, present, and convey moderate problems or issues. Communicate clearly and frequently with all levels of the organization; including team members, project team members (core and extended), functional managers, clinical lab, and other stakeholders. Create high quality presentations that effectively communicate and tie into a cohesive story the project status and/or experimental results. Apply strength in performing complex analyses and the ability to present data and recommendations to a variety of audiences throughout an organization. Apply qualitative and analytical skills with strong attention to detail. Ability to effectively work on several varied projects at one time, with frequent changing priorities. Demonstrate excellent analytical, problem solving and decision-making skills. Apply sound technical knowledge and ability gained through experience and/or learning. Apply previous knowledge and outcomes to new and valuable problems (able to make predictions based on a deep understanding of the fundamental nature of the inputs into a decision or action). Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork. Support and comply with the company’s Quality Management System policies and procedures. Maintain regular and reliable attendance. Ability to act with an inclusion mindset and model these behaviors for the organization. Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day. Ability to work on a computer and phone simultaneously. Ability to travel 5% of working time away from work location, may include overnight/weekend travel. Minimum Qualifications PhD in bioinformatics, computational biology, computer science, mathematics, or related field; or Master’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a PhD; or Bachelor’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of PhD. 3+ years of industry or academia experience in bioinformatics. 2+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry. Extensive experience in Linux-based HPC or cloud computing environments and associated tools. Ability to write custom code in at least three programming or scripting languages Proficient in the principles of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics Familiarity with product/assay research, design, or development Working knowledge of statistical and mathematical methods in biology/genetics, including experience with statistical software, such as JMP or R. Basic computer skills to include Internet navigation, Email usage, and word processing. Proficient in Microsoft Office to include Excel, Word, and PowerPoint. Demonstrated ability to perform the essential duties of the position with or without accommodation. Authorization to work in the United States without sponsorship. Preferred Qualifications 5+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry. Excellent communication and presentation skills. Ability to work across functional teams and with non-experts. Previous industry experience in product development or technical support. Ability to apply and develop innovative analysis approaches when standard methods are inadequate. Experience with methylation-based technologies. Background containing a substantial amount of bioinformatics work including troubleshooting. Previous experience working in a molecular diagnostics/clinical laboratory setting. #LI-AN1 Salary Range: $109,000.00 - $174,000.00 The annual base salary shown is for this position located in US - WI - Madison on a full-time basis. In addition, this position is bonus eligible, and is eligible to be considered for company stock at hire and on an annual basis. Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits. Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here. Not ready to apply? Join our talent community and stay up to date on what’s new at Exact Sciences. We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state, or federal law. Any applicant or employee may request to view applicable portions of the company’s affirmative action program. To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know. At Exact Sciences, we're helping eradicate cancer by preventing it, detecting it earlier, and guiding its personalized treatment. Learn more about how we're committed to giving everyone more time for the moments that matter. In an ever-growing online society, it's important to be vigilant when providing personal information online. Job applications are processed through our Workday Careers site (with URLs containing "myworkdayjobs.com") and all communication from recruiters, hiring managers, and other company representatives will match this email format: firstinitiallastname@exactsciences.com If you are questioning the legitimacy of any communication from Exact Sciences, please reach out to hr@exactsciences.com for verification.